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Fire Situation in Fidji

fi

Report on the Fire Situation in Fiji

(IFFN No. 26 – January 2002, p. 15-19)


Introduction

Fiji, one of the larger clusters of islands in the tropical southwest Pacific, includes several large, hilly, islands of volcanic origin. Some of these, especially the two largest, Viti Levu and Vanua Levu, are divided climatically into dry leeward and wet windward regions. The context for this report is the leeward region, where wildfires are a common occurrence during the May-October dry season.
The leeward vegetation is various: from coastal mangroves, indigenous forest, exotic Pinus spp. (mainly P. caribaea) plantations, secondary swidden forest, sugar cane plantations, and large areas of grassland (with some ferns) made up of various species.

Fire environment

The main threat to indigenous forest is logging but fire damage occurs along the margins. Destructive wildfires are a seasonal problem for the activities of Fiji Pine Limited which manages the large plantations of Pinus species (Were 1997). Secondary forest is managed as part of an increasing population of swidden and permanent agriculturalists, whose increasingly frequent cultivation cycles have lead to an increase in uncontrolled burning and complaints of soil erosion and declining fertility (King 2000). Sugar cane plantations exist mainly on the fertile lowlands where intentional burning during the harvest period has constituted an increasing problem (Davies 1998). Finally, large areas of grassland are fired annually (Whitehead 1952).

There are no comprehensive records of wildfire events in Fiji apart from Fiji Pine Limited records with some contributions from the Fiji Sugar Corporation.

Perhaps because the centre of power lies in the wet windward region there is a lack of interest by the Fiji government. Other factors, including historical circumstances, are relevant. Prior to independence in 1970 the British colonial government enforced (sometimes in a draconian manner) a conservationist ethic regarding fire prevention. There were various laws enacted to sustain conservation, including the cutting of firebreaks for intentional fires. Fire wardens were employed and village headmen had the authority to punish offenders. Upon independence, however, there was a general relaxation of control. Fire wardens were no longer employed and the ability of village headmen to enforce the fire prevention laws was undermined. As a result, local villagers now report that uncontrolled fires are more prevalent than before 1970. The older people in the villages complain of the indiscriminate firing and harvesting of the younger generation who, among other things, sell wild yams for cash in the towns (often without replanting the reproductive head of the yam). This is despite a decree originating in 1969 which prohibits the burning of vegetation over a large part of the leeward region in the dry season of any year (unless authorised by a government officer) (Government of Fiji 1985a). This law, and other fire prevention laws (Government of Fiji 1985b), are ignored and not enforced.

Part of the problem is that these laws take little account of the practicalities of managing land in order to make a livelihood in the region. For example, the temperatures during the late fire season in the central hills are often extreme and the effort of making four metres wide firebreaks on steep hillsides in these circumstances is very strenuous, and simply not practicable, especially for large areas. In addition, the local enforcement agency (the police) often sympathize with these farmers or are simply unreachable in many of the remote locations where fires are prevalent. In effect, the laws are alien to the local situation in that they do not allow for compromise approaches to fire prevention where livelihood circumstances are difficult. Research has shown that local people have many specific reasons to start fires which are part of making a livelihood in the region (King 2000). These reasons should be acknowledged and ways of controlling fires that are practical should be developed in order to prevent their spread. In the Navosa region of the central highlands, 71% of burned land was the result of escaped land-use fires. The percentage of land burned annually is difficult to estimate but certain large areas of grassland are burned every year, and much of the non-forested interior leeward landscape is probably burned at least every few years. The local people are well aware of the need to prevent fires, and complain of the lowering of fertility on hillslopes, the drying of the land, and the poor growth in native trees. However, various social structural, leadership, knowledge and policing issues need to be addressed in order to make improvements in this area. For example, traditional chiefs or village headmen (often lacking the power to police) sometimes urge their fellow villagers to minimize firing, but will admit privately later that `the people don’t listen to us.’

The main reasons for fires are (a) clearing land for planting, (b) new grass for the animals (fodder in the season of scarcity), and (c) harvesting wild yams. Clearing land for planting in this dryland context is sometimes more appropriately termed ‘burn and slash’ rather than ‘slash-and-burn’ agriculture. Fires are often created to do the initial clearing in low-growth secondary forest, and then the remaining vegetation is cleared and small trees are trimmed to provide supports or shade for crop plants. The shift to cassava as the main subsistence crop in historical times may have contributed to a more careless use of fire because it tolerates poorer soils and growing conditions. In contrast, burning was less, and mulching used more, where yams (Dioscorea), dalo (Colocasia), plantain, dalo ni tana (Xanthosoma), bele (Hibiscus) and yaqona (kava) were grown because of their higher fertility requirements.
During the dry season there is little fodder for domestic animals so areas of mission grass (Pennisetum polystachyon) with unpalatable mature leaves are burned. Young shoots quickly arise from the stumps and are palatable to the animals for a few weeks.
Wild yams often grow among dense stands of a tall grass (or reeds, Miscanthus floridulus) whose thickets are difficult to penetrate and where the emerging shoots of yams are hidden from view. Fijians burn the thickets over large areas so that the emerging shoots can be easily seen and the tubers dug up free of the hindrance of dense vegetation.
Fire also helps to control wild pig activities (either by keeping them away from the village and gardens, or by making it easier to hunt them).
This was especially important in those villages on forest margins where the wild pigs can devastate the gardens. Gardens are sometimes relocated in deference to the threat of pig damage.
There are many other reasons for starting fires, many of which were only important in specific communities. The destruction of pests and disease is one that was mentioned by a Fijian agricultural official but not volunteered by local people (who may have subsumed it under clearing land for planting).
Rangeland wildfire has been a perennial part of leeward-climate Fijian life. Early European visitors of the 19th century inevitably made comment on the prevalence of human-caused wildfires. This was understandable given that such visitors came from relatively cold and wet climates where wildfires were absent. The indigenous Fijian view is that human-caused wildfires are an inevitable, but sometimes excessive, occurrence that is a normal part of the Fijian calendar. Many Fijians ‘like to burn’, however, as yet unpublished thesis research done by the author shows that despite this cultural more, detailed evidence of opinions within farming villages shows that excessive burning is done only by certain households (King 2001).

Forest wildfire data

The only continuous fire data comes from the reports of Fiji Pine Limited (FPL) (Tab. 1,2) and to a small extent the Fiji Sugar Corporation (FSC) (Tab.3). Outside of these sources no records of wildfire have been kept despite the annual firing of the hilly savanna-like rangelands. Estimates of firing can be ascertained fairly readily from aerial photographs held in the Fiji Lands Department, but to my knowledge no person has quantified this data for Fiji as a whole. According to the estimates of the author of this report and the data he collected in Navosa province, about 70 percent of the land has been fired at least every few years.
In many years a portion of the pine plantations are written off due to fire damage. For example, 8,566 ha were written off over the 10 year period between 1987-1997 (Were 1997) out of the total of 43,201 ha managed in 1997 (Fiji Pine Limited 1997). In addition, many areas are burned but not written off. For example, in 1992 no plantations were written off but fire crews fought 156 plantation fires which burned 2,905 ha, responded to 56 wildfires near pine plantation boundaries, and undertook 952 control burns over 1,642 ha (Fiji Pine Limited 1992). There has been a reduction in the number of fires that occur inside plantation boundaries in recent years (Were 1997). The occurrence of the El Niño-Southern Oscillation (ENSO) event and government elections are associated with the worst years which were 1987, 1988 and 1994 (Were 1997). Records for the 1998 El Niño episode were not available. The causes of fire in FPL plantations between 1995 and October 1997 were: (a) arson (51%), (b) escaped agricultural burnings from adjacent farms (39%), (c) grazing (7%), (d) negligence by FPL employees (2%), and (e) lightning (1%).
The cause of the high arson rate involved conflict with landowner communities. Issues included low returns, loss of alternative means of income, employment prospects for community members, drying-up of community water supplies and other resource degradation, social equity issues, and party politics. In order to lower the rate of loss, prescribed burning for fuel reduction is being experimented with, and attempts are being made to increase benefits to landowners.

Table 1. Plantation areas affected by wildfires and written off in Fiji Pine Limited (FPL) forests between 1987 and 30 June 1997. Source: Were (1997).

1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 Total 3274 3711 0 0 0 0 9 1111 254 92 49 8,566 ha

Table 2. Causes of wildfires in plantations of Fiji Pine Limited (FPL) between 1995 and October 1997. Source: Were (1997).

Fire Cause Arson Escaped Agricultural Fires Negligence Grazing Lightning Total Total (%) 51 39 2 7 1 100

 

Table.3. Burned sugar cane as a percentage (%) of Fiji’s total cane harvest (by volume) 1969-1997. Source: Fiji Sugar Corporation (1998) Davies (1998)

Year Percentage (%)of Cane Burned Year Percentage (%)of Cane Burned 1968 12.9 1983 14.9 1969 6.9 1984 25 1970 18.2 1985 19.2 1971 9.6 1986 25.6 1972 15.1 1987 23.6 1973 24.3 1988 15.5 1974 18.6 1989 22.8 1975 16.1 1990 39.8 1976 18.6 1991 49 1977 18.1 1992 31.5 1978 16.4 1993 33.4 1979 21.5 1994 40.2 1980 19 1995 47 1981 20.7 1996 43.4 1982 17.7 1997 62

 

Sugar cane burning

The rate of sugar cane burning has increased steadily from a rate of 19 percent in 1968 to an average of 62 percent in 1997 (Fiji Sugar Corporation 1998). Cane burning is discouraged and penalised under certain conditions but is practised by farmers to speed the task of harvesting, clear weeds and undergrowth, destroy insects, solve labour problems, minimize labour costs, increase crop weight, advance milling priority, and voice industrial or political disapproval. Over 95 percent of cane burning is deliberately started by the farmer. The residual 5 percent is attributed to lightning, carelessness or neighbourly sabotage (Davies 1998). Cane fires sometimes spread to grasslands, forest and pine plantations thus contributing to the increased prevalence of wildfires.

Operational fire management

Most of the indigenous forest is in the windward wet zone of Fiji where fire management is of minimal concern. The only fire management system is that of FPL which is a state-sponsored public company operating in the dry leeward zone. Prescribed burning is being practised, and has been successful in reducing wildfires, but damage occurs to the lower trunks of Pinus caribaea if the heat of the fire is too intense. This damage manifests in reduced timber quality (see also below).
In FPL plantations fire detection systems are in place but there is a low rate of consistency in the time of response to wildfires even when the need for control is urgent (Were 1997). There are complaints about the level of preparedness, the lack of accountability of all parties, reductions in the number and quality of staff, and the efficiency of the fire-fighting system.
There have been complaints that the fire management system is inadequate for non-plantation fires, and could be much improved if a more efficient system of detection and communication with rapid-response tenders was put in place, especially in cane-growing areas. The government is challenged to become active here.

Use of prescribed fire

Prescribed burning as a forest management tool is only practised in FPL pine plantations as described before. However, in the savanna rangeland zone, burning is practised in a locally-prescribed way according to the livelihood and security needs of the subsistence-commercial communities of farmers in the region. It needs to be recognised that local farmers have their own needs that are prescriptive for their own purposes, and which are different from the needs of forest plantation managers. In Navosa province, local people prescribe fire to: (a) clear land for planting, (b) promote the growth of new grass, (c) to find and harvest wild yams, (d) help grow certain ‘wild’ green vegetables, (e) help with fuelwood harvest, (f) to keep wild pigs away from gardens, (g) to help hunt wild pigs, (h) clear tracks (of obstructions, and bristly or thorny vegetation) for both people and animals, (i) to help harvest ‘wild’ turmeric, (j) to clear land for pine planting, (k) to help control or find domestic animals (King 2000), (l) to temporarily improve fertility, (m) to help control insects (especially snails, slugs, and army worms) and disease (especially anthracnose and yam rot, mildew on cassava), and (n) to remove undesired vegetation from rangelands.

Reduction of wildfire hazards

There is little emphasis on techniques to reduce wildfire hazards apart from those used by FPL in plantation situations. In Navosa an average of 71 percent of land was needlessly burned because intentional fires were not controlled. Wildfire is commonly accepted a normal event and no attempt is made to alter the course of uncontrolled fires which in most cases burn uphill away from the villages which are mainly located in river valleys. Most open rangeland is burned relatively frequently: thus fuel loads are low and fires are of low intensity. As a result fires are rarely considered to be dangerous. However, if an uncontrolled fire destroys other peoples gardens or plantations, especially those containing valuable cash crops such as yaqona (kava), then there will be conflict and some form of locally-arranged restitution will occur (provided the person/s who initiated the fire can be identified).
The topography of much of the uplands is hilly and the maintenance of firebreaks is difficult and very costly. Variations in the type of vegetation will influence the buildup and the amount of the fuel load. Much of the regularly burned land is composed of grass species which will not increase their fuel load beyond a threshold for a number of years and cannot be considered under risk of having excessive fuel load. However, some shrub and tree species can regenerate quickly in the tropical environment and increase their fuel load to a point where they may pose a serious fire risk in certain locations if not burned regularly. Thus, the firing of this vegetation may be considered a form of sustainable land management that reduces wildfire hazards caused by a buildup of fuel load. It is worth commenting, however, that this reason was not proffered by the local people in the Navosa study, and my view is that this reason is applicable only in a relatively few contexts near villages.

Public policies concerning fire

There are few policies which address fire outside of the relevant legal provisions. There have been opportunities to address fire and sustainability through a recent environmental bill, but this document mainly concerns itself with urban concerns such as pollution rather than rural interests. In effect, responsibility has been devolved to FPL, which, however, does not have any mandate over rangeland fires.
The current legal provisions are contained in the legislation concerned with Land Conservation and Improvement (Government of Fiji 1985a, b). In brief: (a) the legislation covers the requirements for firebreaks of 4 metre width around any prospective fire, (b) notification for adjoining landowners, (c) responsibilities and duties for extinguishing wildfires (d) responsibilities of fire rangers (police), and (e) punishments. In addition another order prohibits fires to be lit in most of the leeward regions of Fiji during the dry season without permission (cane farmers excepted).
It is apparent that the livelihoods of many hill communities are suffering from increased erosion and a decline in soil fertility as a result of excessive burning. Pine forests and the quality of sugar cane are suffering. With an increasing population and an increased prevalence of fires in the region, there is a need for informed debate on the present role of fire in land management. In the author’s view, changes need to be made in many areas, and appropriate education about the various impacts of fire and creative or constructive ways of preventing uncontrolled burns are a necessity. Fiji needs to develop new informed policies on the role of fire on its land.

 

IFFN/GFMC contribution submitted by:

Trevor King
c/o Institute of Development Studies
School of Global Studies
Massey University
Palmerston North, Aotearoa
NEW ZEALAND

 

References

Davies, J. 1998. The causes and consequences of cane burning in Fiji’s sugar belt. The Journal of Pacific Studies, 22, 1-25.

Fiji Pine Limited. 1992. Fiji Pine 1992 Annual Report. Lautoka: Fiji Pine Limited.

Fiji Pine Limited. 1997. Fiji Pine 1997 Annual Report. Lautoka: Fiji Pine Limited.

Fiji Sugar Corporation. 1998. Sugarcane Research Centre Annual Report. Lautoka: Fiji Sugar Corporation.

Government of Fiji. 1985a. Land conservation and improvement (fire hazard period) order. Laws of Fiji: 1985 Revised Edition, Vol. 8 (14 vols.). Ch 141, Sect 7, S3. Suva: Government of Fiji.

Government of Fiji. 1985b. Prevention of fires. Laws of Fiji: 1985 Revised Edition, Vol. 8 (14 vols.). Ch 145, pp. 3-6. Suva: Government of Fiji.

Hasni, S. 2000. Country profile: Fiji. ITTO Newsletter, 16 March 2000. URL: http://www.itto.or.jp/newsletter/v7n2/23country.html

King, T. 2000. Navosa sustainability study: Preliminary results of the survey on burning. Report for participants. Palmerston North: Institute of Development Studies, School of Global Studies, Massey University, Aotearoa, New Zealand.

King, T. 2001. Fire on the Land: livelihoods and sustainability in Navosa, Fiji. Ph.D thesis. Massey University, Palmerston North (in prep.)

Were, P. 1997. Fiji Pine Limited fire management review, 1997. (Industry Report). Fiji Pine Limited, Lautoka.

Whitehead, C. E. 1952. Range land firing in Fiji. Agricultural Journal (Fiji), 23, No. 2, 8-10.


Country Notes
IFFN No. 26

24. November 2017/by GFMCadmin

Navosa sustainability

fi

Navosa Sustainability Study:
Preliminary Results of the Survey on Burning: 
A Short Report For Participants

(IFFN No. 26 – January 2002, p. 20-22)


Introduction

This report provides the results of a study of peopleslivelihoods, agriculture and land degradation in the Navosa region of Fiji. Thereport has been written in a short version for the participants.

The study has been conducted between the months of October1998 and January 1999 in the Navosa region of the upper Sigatoka valley incentral Viti Levu. The survey involved the local people of 18 villages orsettlements in a study of burning following a participatory model. Separate menand women groups contributed to the averages for each village. The names of thevillages or settlements are given in Table 1.

Table1. Names of the 18villages in central Viti Levu that participated in the study

Nasauvakarua

Nakoro

Nasaunokonoko

Nanoko

Nubuyanitu

Namoli

Nubutautau

Navitilevu

Korolevu

Nasaucoko

Waibasaga

Nukulau

Draiba

Vatubalavu

Korovou

Keiyasi

Sawene

Nawairabe

 

Reasons for the land being burned

The first question was: whyis the land burned? The results are illustrated in Figure 1. The threehighest scoring reasons (clearing land forteitei, new grass, and harvesting vitua) were consistently mentioned by nearly all groups.

Other reasons were often more of local nature. Forexample: clearing tracks was mentionedin only 6 villages; keeping awayvore/vuaka in only 7 villages, clearingland for pines in only 2 villages; diggingkari in 4 villages, and harvestingfuelwood (usually quwawa) in 5 out of the 18 villages. Nevertheless, these less-mentioned reasons were often important for theparticular places concerned.

In addition, there were numerous background or minorreasons suggested during separate interviews. These are not mentioned here, butare to be discussed within the author’s thesis at a later date.

 

Figure 1. Reasons for burning Navosa lands

Land burned because of carelessness or accident

The second question was: whatpart of the land that has been affected by fire was ignited by carelessness oraccident? The answers from separate men and women groups showed a stronglevel of consistency and reveal that on average 71percent of the land area affected by fire is due to negligence (Figure 2).

Figure2. Results of the survey show that the majority(71%) of the land affected by fire is due to uncontrolled (accidental,negligent) fires.

Land degradation and its prevention

In addition, nearly all groups reported widespread soilerosion and an overall decline in soilfertility as the major problems that result when they were asked: how does repeated burning effect the land? The difficulty of growing(especially native) trees and the drying-up of the land were also mentionedfrequently.

Respondents reported that land degradation could beprevented by stopping careless burning and planting pine and mahogany trees.

Importance of wildsubsistence resources

Participant groups compared indigenous categoriesrepresenting either wild or cultivated food or drink sources, and were asked: whichis the most important? The relative importance of these categories forlivelihoods are illustrated in Figure 3. Examples include vitua(wild yams) which are categorized as Kakanani veikau and malasou (a wildgreen vegetable) which is Gunu ni veikau.The cultivated root crop doko (dalo) is classified as Kakana, and doko leaves (bote) are in the Gunu category.

Social EcologyValues

Lastly, six categories representing a range of social andecological factors that relate to local peoples culture and livelihoods wereselected. These categories were chosen by the researcher following dialogue withlocal people. The groups were then asked: whatis the most important for you in [own village]? The importance of safeguardingnatural resources for future generations was recognized by the local groups,but scored lower than some other value categories associated with daily life asillustrated in Figure 4.

Figure3. The relative importance of categories forlivelihoods

 

Figure4. Social ecology values in Navosa

Acknowledgements

The author offers special thanks to the many people ofNavosa and Fiji who interrupted their busy lives to contribute their time andknowledge to this project.

Contact address:

Trevor King
c/o Institute of Development Studies
School of Global Studies, Massey University
Palmerston North
Aotearoa
NEW ZEALAND


Country Notes
IFFN No. 26

24. November 2017/by GFMCadmin

Finland: Finland/Russia Mutual Assistance Agreement of 9 August 1994 (IFFN No. 13 – July 1995)

fi

 

Finland/Russia Mutual AssistanceAgreement of 9 August 1994

(IFFN No. 13 – July 1995, p. 12)      


An agreement signed between the Republic of Finland and the Russian Federation was considered necessary in view of increasing trade and tourism between the two countries.

This agreement concerns collaboration in the prevention of accidents, in information to the public and in reduction of the negative consequences in the case of emergencies. The agreement further includes procedures for bringing equipment and supplies across the border in case of a major accident. Soon after signing the agreement a fire started in a large wooden building in a Carelian town in September 1994. A Finnish Fire and Rescue Brigade (F&R) stationed nearby crossed the border to assist their Russian colleagues.

Exchange of Expertise: The practical implication of this Agreement is that the two countries will be exchanging expertise and assisting in investigations concerning the prevention and causes of accidents. Also joint research projects will be launched to further streamline legislation, procedures and equipment in case of large disasters. The Finnish counterpart is the F & R Department of the Ministry of the Interior.

Training: The Agreement further recommends the two countries to intensify the organization of joint training in various fields of F&R activities.

Between 10-13 October 1995 a course will be organized for chiefs and assistant chiefs from F&R Departments in the metropolitan area of Helsinki. The course topic is on forest fire control, and it will be organized at the Evo Forest College (140 km north of Helsinki).

These F&R Departments have formed a special emergency unit in the case of needs outside Finland. This Unit is called FINN-RESCUE-FORCES (FRF).

The participating countries are: Estonia, Finland, Latvia, Russia and Ukraine.

 

 

From:  Tero Paasiluoto and Mike Jurvélius
Address:

Ministry of the Interior
Fire & Rescue Department
Kirkkokatu 12.
FIN – 00170 Helsinki

Fax:     ++358-0-160 4672
Phone: ++358-0-160 2978
Suonotkontie 3.G.85
FIN – 00630 Helsinki

Fax:     ++358-0-7544 250
Phone: ++358-0-745187


     Top
    Country Notes

     

24. November 2017/by GFMCadmin

Finland: Automatic Forest Fire Alert by Satellite (IFFN No. 18)

fi

Automatic Forest Fire Alert by Satellite

(IFFN No. 18 – January 1998, p. 63-65)


Overview

A fully automatic system has been developed to detect forest fires using data from the meteorological NOAA satellites. The system has been developed in Finland and tested in four experiments in 1994-1997 in Finland and its neighbouring countries Estonia, Latvia, Russian Karelia, Sweden and Norway. For each detected fire, a telefax including data on the location of the fire, the observation time and a map showing the location, is sent directly to the local fire authorities. The area with the smallest forest fires detected was 0.1 ha. The time delay between receiving the NOAA scene and the sending of the fire alert was 31 minutes in average. Nearly all detected fires were forest fires or prescribed burnings. In the pilot experiment of the summer 1997 a total of 363 fires were observed and alerted. 83% of the given alerts were real fires. None of the real forest fires in Finland remained undetected. The good verification results show that satellite-based detection of forest fires has potential in sparsely populated areas if continuous supply of middle-infrared satellite data can be guaranteed in the future.

Introduction

Wild fires are an essential threat to forest resources and human population in large areas of the world. Very often, the cities or villages do not continuously follow the news of the surrounding areas of the cities to get early warning of the approaching forest or bush fires. In addition, in many cases the authorities do not have telecommunications equipment e.g. telefax machines or even paper for the machine to send/receive the warning messages. Therefore, alerts to the population and to the rescue forces often come too late.

For such occurrences as forest and vegetation fires, volcanic activity or burning oil spills and coal seams a dedicated space instrumentation does not exist. The existing spaceborne instruments and the missions are not designed for fire detection, e.g. time coverage for fire management is not satisfactory. Therefore, fire management is only a by-product of the current remote sensing missions. New dedicated instruments, procedures and missions are needed.

Fire Detection Methodology

A prototype software has been developed by VTT Automation for the automatic detection of forest fires using NOAA AVHRR (Advanced Very High Resolution Radiometer) data. Fire detection is based on middle-infrared data channel 3 of AVHRR, 3.7 µm. Image data are received from an a receiving station operated by the Finnish Meteorological Institute. From each received scene a sub-scene covering the monitoring area is extracted (typically 1024 rows by 1024 columns, approximately 1150 km by 1150 km). The image data is transmitted via a computer network. Channels 2 (near infrared), 3 (middle IR), and 4 (thermal IR) of the AVHRR sensor are used.

The processing includes: detection and marking of image lines affected by reception errors, image rectification, detection of hot areas, elimination of false alarms, and generation of alert messages by e-mail and telefax. Detection of fires is based on the use of channel 3 data. The thermal infrared data is of little value in the detection of small forest fires in Boreal forests. A typical small forest fire that can be detected using middle-infrared data does not at all affect the thermal infrared data (12 µm) in channel 4. Each patch of connected “hot” pixels is considered as a potential fire.

The fires, where the imaging geometry is close to the case of specular reflection, are eliminated as false alarms. Four additional constraints are also applied: 1) a threshold on near infrared channel 2 data to eliminate clouds in day-time scenes, 2) a threshold on thermal infrared channel 4 data to eliminate clouds in day-time and night-time scenes, 3) a threshold on the number of pixels in a fire patch, and 4) a threshold on the distance to known steel factories (added in 1996).

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  Fig. 1. Satellite-based forest fire monitoring in the Eastern Baltic Region: Fires detected during the experimental period 5 May to 11 August 1997

Cooperation in Demonstration Experiments

The prototype system was tested in an experiment phase during the summers 1994-97. In summer 1995 the system was tested in cooperation with VTT Automation, the Finnish Ministry of the Interior, the Finnish Meteorological Institute, and the City of Helsinki Rescue Department. Also, local correspondents were available in the neighbouring countries.

The prototype fire detection system was run in the computer facilities of the Finnish Meteorological Institute. 205 AVHRR scenes were processed between 4 July 1995 and 8 September 1995. The system detected over 14 000 potential fires (hot areas). 85 of the potential fires were classified as fires by the automatic system. A preliminary verification was done immediately for fires located in Finland. For each detected fire, the system sent a telefax message to the City of Helsinki Rescue Department. The fire was located on a map and the telefax (equipped with a request for prompt verification of the detected fire) was further sent to the right local rescue department. Of the 16 fires detected in Finland 11 were prescribed burnings, one case was a forest fire, three cases were a steel factory, and in one case the reason of the detected fire is not known so far.

In summer 1996, the system was running from 24 June to 16 September. After the elimination of false alarms 272 fires were detected. In 30 cases elimination was caused by the location of a known steel factory. For 79 fires real-time telefax message was sent fully automatically. Most of the detected fires were prescribed burnings. In other cases, the fires were outside of the experimental area.

For the summer 1997 the experimental area was enlarged from the original (approximately 1150 km by 1150 km) to cover the whole area of Norway, Sweden, Finland, Estonia, Latvia, and Russian Karelia, approximately 1690 km by 1690 km. In summer 1997, the system has been running from 5 May until 15 September. During that time 1013 hot areas were detected, most of them in Russia and in Lithuania outside of the project area. 363 fires were located in the area of Norway, Sweden, Finland, Estonia, Latvia, and Russian Karelia and the corresponding alerts were sent automatically. Verifications were received from local authorities in 162 cases. 83% of the alerts were real fires, most of them forest fires. The amount of detected building fires was 6. 17% of the alerts were false alerts or unknown fires. According to reports from the local authorities, none of the real forest fires in Finland remained undetected. The area of the smallest forest fire detected was 0.1 ha. During the summer 1997 an average of 5 NOAA images were processed daily. The average delay between the receiving of the NOAA scene to sending the fire alert was 31 minutes.

Conclusions

The screening of false alarms is an essential technique in fire detection if the results are to be used in fire control. Effective screening enables fully automatic detection of forest fires, especially if known sources of error like steel factories are eliminated based on their location. In the experiment in 1994-97, most of the detected fires were real fires. Only 17% of the sent alerts were false alerts. None of the real forest fires is known to be undetected by the system. This shows that satellite based detection of forest fires is reliable, fast and has potential for fire control purposes. Because of its ecological and human necessity, fire monitoring and fire alert systems should be established urgently on a global scale. This can only be done by remote sensing from space, because other systems are not suitable for global applications.

From: Väinö Kelhä
Address:

VTT Automation
P.O.Box 13002
FIN – 02044 VTT


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24. November 2017/by GFMCadmin

Finland: Renewing the System for Forest Fire Risk Assessment at the Finnish Meteorological Institute   (IFFN No. 18)

fi

Renewing the System for Forest Fire Risk Assessment
at the Finnish Meteorological Institute

(IFFN No. 18 – January 1998, p. 65-67)


Boreal forests, characterised by the dominance of conifer trees (spruce and pine), form a major economically important natural resource for countries in northern Europe such as Finland (60° -70° N). Forests cover nearly 78% of the total land area of Finland, i.e. about 26 million ha out of which 20 million ha are managed. Forest fires in Finland cause losses in forest yield and potentially endangers public safety. Forest fire warnings have been issued and an effective survey for the early detection of forest fires has already been practised in Finland for many decades. Recently risk monitoring services have also been used to find a suitable timing for the prescribed burning of the forest floor (used as a means of forest regeneration), and to limit the use of machinery at peat milling sites under very dry and windy conditions.

In Finland a fire risk warning is issued under dry weather conditions when a fire index, specifically developed for this purpose, has reached a given threshold value. The fire risk index is also used to guide fire survey flights over the risk areas. These flights are organized by government officials in co-operation with private flying clubs. Adoption of the surveying flights in the early 1970s resulted in a significant reduction of the area burned annually (Fig.1). There are pressures to minimise the amount of flying hours due to the high cost of this surveying method. This can be achieved by providing high spatial resolution, timely and accurate information on the fire risk, thereby directing the surveying activity over those areas with the highest risk of forest fire.

Until very recently, the fire index calculated by the Finnish Meteorological Institute has been based on a statistical relationship between a number of weather variables and the occurrence of fires. Problems with the statistically based index, e.g. the difficulty to verify the index values by direct measurements, led to a development of a new physically-based index which was recently adopted for use at FMI.

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Fig.1. Number of forest fires and the total area burned area in Finland during the period 1952-1992.

The new index is based on estimates of the volumetric moisture content of the (assumed) most typical fuel in the boreal forest, i.e. the top organic soil layer (including fallen litter and small branches). The driest forest environments are clearings, thus the influence of trees on soil moisture could be ignored when developing the algorithm. Surface soil moisture is calculated with a simple physically-based model that removes water from the surface organic matter by evaporation and adds it in proportion to precipitation. Evaporation from the surface organic matter is calculated by making use of weather station data and the well known ‘Penman-Monteith’-type formula for actual evaporation. The surface moisture model was calibrated and tested against measured field data during two summers under natural conditions. The organic surface soil layer is described with only two parameters: depth of the layer and soil density. Input variables required for the every three hour time interval by the model are solar radiation, air temperature and humidity, wind speed and precipitation. Except for solar radiation, all variables are reported every three hour at the standard synoptic weather stations. Solar radiation incident at the surface is not normally measured with sufficient spatial resolution, but can be calculated from cloud observations or sun shine duration data. Also satellite data on cloud characteristics can be used to estimate solar radiation, this attractive alternative is currently being investigated at FMI with very promising initial results.

The main problems in the use of soil moisture as a forest fire index are related to the poor spatial resolution of observations and the scaling of soil moisture with the realistic correspondence to fire risk. Spatial resolution of a fire index depends largely on the density of weather stations. With a sparse network of stations, local climate features near lakes and coasts, and on hilly terrain are poorly described. Even without terrain heterogeneity, daily precipitation during summer can vary significantly within a few kilometres distance. For instance, a shower can occur at a weather station while the surroundings remain dry, or vice versa. Weather radar networks, such as NORDRAD, covering most of Denmark, Sweden and Finland, can potentially provide good spatial coverage of summer rainfall and are increasingly being used for quantitative precipitation estimates. Use of radar networks can thus significantly improve the spatial resolution of a fire index.

A convenient way to transfer soil moisture into information of fire risk is to scale the volumetric soil moisture into an index that increases with increasing risk of forest fire, i.e. with decreasing soil moisture. FMI have introduced a scale between 1 and 6, where 1 indicates very wet and 6 very dry (Tab.1). Experience has shown that an index with this type of simple scaling is well adopted by public users. The threshold for fire warnings can be set to, e.g., the mid-point of the scale: when the index reaches value 4 a fire warning is issued, and when it drops below 4, a warning being in force will be removed.

Tab. 1. Scaling of the volumetric moisture fraction into classes of surface wetness. Forest fire warnings for the public were issued/withdrawn when the index had increased above/decreased below a value of 4.0

Index

Vol. moisture

Moisture status

6.0

0.10

Very dry

5.0 – 5.9

0.11-0.14

Dry

4.0 – 4.9

0.15 – 0.19

Moderately dry

3.0 – 3.9

0.20 – 0.25

Moderately wet

2.0 – 2.9

0.26 – 0.32

Wet

1.0 – 1.9

0.33

Very wet

What volumetric soil moisture should the index value 4 correspond to? This can be determined on a national level, based on statistics of forest fire occurrence and long term climatic data; the policy was adopted in Finland that for the peak month of June, having the highest frequency of fires, forest fire warnings would be issued during 15 days out of 30 on an average year. The index was given a scale of variation such that for very dry months (less than 10% probability) fire warnings would cover the whole month, but on very wet months no fire warnings would be issued.

Public reporting of the calculated index is made via radio broadcasting. The decision of fire warnings is made by duty meteorologists based on the calculated index and the prevailing weather conditions. A spatial analysis of the index produced on a geographical map helps in deciding which administrative areas will be warned of a fire risk (Fig.2). Information of the forest fire index is also available in real time on the internet for the direction of the fire survey flights over the driest areas.

The prescribed scheme can be relatively easily calibrated for different layers of surface organic soil and litter, as may become necessary for specific purposes. For instance, during early spring, when green vegetation is still absent, the risk of grass fires may develop faster than the risk of extensive forest fires. Also fires on peat production sites form a special case for which a dedicated fire risk service could be developed.

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Fig.2. Forest fire index mapped across Finland based on spatial interpolation of the station data. In this situation, forest fire warning would be issued to most of the southern and western parts of the country.

From: Martti Heikinheimo
Address:

Finnish Meteorological Institute
P.O.Box 503
FIN – 00101 Helsinki

e-mail: martti.heikinheimo@fmi.fi


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24. November 2017/by GFMCadmin

Finland: New Forest Fire Risk and Fire Behaviour Research Project (IFFN No. 22 – April 2000)

fi

New Forest Fire Risk and Fire Behaviour Research Project

(IFFN No. 22 – April 2000, p. 24)


The Ministry of the Interior has prepared a plan to start research activities concerning forest fire behaviour in boreal forests in Finland. The aim of this project is to develop:

1. Classification of the fuel types and forest fire risk assessment in boreal forest

2. Modelling the fire behaviour in boreal forest.

This project will be coordinated by Ministry of the Interior. All research activities will be conducted in collaboration with:

  • University of Helsinki, Department of Forest Ecology
  • Finnish Forest Research Institute
  • Forest and Park Service, and
  • Forest companies in Finland

It is intended to start the research project in the beginning of the year 2000. A collaboration with partners from other EU countries is considered. Mr. Timo Heikkilä will act as project secretary in the Ministry of the Interior. For more information contact:

 

Harry Frelander
Ministry of the Interior
Kirkkokatu 12.
FIN – 00170 Helsinki, Finland

Fax: + 358-9-160-4672
Tel: + 358-9-160-2966
e-mail: harry.frelander@sm.vn.mailnet.fi


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    IFFN No. 22

24. November 2017/by GFMCadmin

Finland: Simulation of Disturbance and Successional Dynamics of Natural and Managed Boreal Forest Landscapes (IFFN No. 22 – April 2000)

fi

Simulation of Disturbance and Successional Dynamics
of Natural and Managed Boreal Forest Landscapes

(IFFN No. 22 – April 2000, p. 24)


The research aims at better understanding of disturbance and successional dynamics in boreal forests to provide the ecological basis for successful restoration and management of forest biodiversity. For this we develop and use a simulation model for forest landscape disturbance, succession and management (FIN-LANDIS).

The modelling project started with modification of the original LANDIS model (developed by D.J. Mladenoff, Madison, USA) to suit the Finnish conditions, and to satisfy the needs of the project. A literature survey on forest dynamics and modelling was made for model development and model evaluation. In addition, tools were developed for parameterisation of the model and for processing the model input and output. Large parts of the original model code written in C++ were rewritten. Among other things, the changes facilitate realistic simulation of tree regeneration and development on uneven-aged stands during post-fire succession as well as use of variable assumptions about the behaviour of fire disturbances. Capacity for using processed satellite images and GIS data of Forest and Park Service as model input was developed. First applications of the model were started using GIS data of Ulvinsalo Nature Reserve as model input, aiming at better understanding of historical fire regimes and forest development in the area. The simulation model developed will provide a strategic-level tool for forest landscape and biodiversity management. This will help in elucidating long-term management objectives to maintain dynamic biodiversity-fostering processes that change over large spatial and temporal scales.

Contact information:

Timo Kuuluvainen
Project Coordinator and Docent
University of Helsinki, Department of Forest Ecology
P.O. Box 24
FIN-00014 University of Helsinki

Fax: ++358-9-1917605
Tel: ++358-9-1917708
e-mail: Timo.Kuuluvainen@helsinki.fi

and

Juho Pennanen
Ph.D. student, Department of Forest Ecology
University of Helsinki
P.O. Box 24
FIN-00014 University of Helsinki

e-mail: Juho.Pennanen@helsinki.fi


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    IFFN No. 22

24. November 2017/by GFMCadmin

Finland: Fire Situation (IFFN No. 24)

fi

Fire Situation in Finland

(IFFN No. 24 – April 2001, p. 17-22)


Introduction

The total area of Finland is 338 145 km2, of which the land area is 304 529 km2. Forests cover 68 percent of the total area, i.e. 26 million ha. Finland’s forests are in the boreal coniferous forest zone. The most common species are spruce (Picea abies) and pine (Pinus sylvestris) as well as birch (Betula spp.). About 54 percent of the forests are privately owned, 33 percent are owned by the state, 8 percent by forestry enterprises, and 5 percent by others.

The forest fire season in Finland is relatively short, usually starting at the beginning of May and ending in September, i.e. 5-6 months. Finnish summers are cool and relatively wet. In addition, Finland is not too complicated in terms of geography for fire control purposes. There are no mountains and the forest road network is quite extensive. There are also a lot of natural obstacles, including 188 000 lakes, that help keep forest fires quite small. This helps the Finnish forest fire management system to keep the fire problem relatively small in scale as compared to southern Europe.

The Fire Management System

The Finnish fire management system consists of prevention, early warning and suppression as presented in the flow chart (Figure 1).

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Figure 1. The Finnish forest fire management system

As shown in the flow chart, educational, legislative and technical means are used in fire prevention. People need to be educated to behave in a safe way in the forests. This has been reinforced by legislation. For instance, when a forest fire warning is issued it is against the law to set an open fire inside or near a forest. A forest fire warning is issued when the forest fire index reaches a high level. The Finnish Meteorological Institute publishes a daily fire danger map of Finland. The map is based on the Forest Fire Index Calculation System (Heikinheimo 1998; see also

http://metsapalo.fmi.fi/).

To provide early warning and information on forest fires the general public is educated to react when they see that something is wrong. In practice this means that they don’t ignore the situation and that they also report by telephone using the emergency number 112. By law, everyone is obligated to inform the authorities about an incident. Airborne surveys and an operational satellite system are examples of technical applications, e.g. an automated fire detection system based on the NOAA AVHRR satellite sensor (Kelhä 1998).

The third part of the system is a fast response. According the law, people are obliged to do their best to reduce the damage in an incident. What can be done depends on the type of the incident and the person. However, the goal is to educate people to do some simple preliminary actions before the fire brigade comes to the incident site. As mentioned before, risk assessment is based on law. Municipalities have to assess the risk of forest fire and have in place suitable personnel and equipment to handle the situation. Forest fire suppression is assisted by technology such as aeroplanes, helicopters and the equipment of the fire brigades.

The Municipal fire brigades do the actual operational response. The local municipal fire officer is responsible for leading the operation inside the local municipal area. Finland is divided into 36 alarm areas. Each alarm area has several municipal fire brigades. If a situation exceeds the local capability, other municipal fire brigades can be called upon for help. In each alarm area there is also regional fire chief. He has the responsibility to take the lead if he thinks it is necessary. The fire officer in charge is responsible for every strategic decision.

The role of the Ministry of the Interior is to insure that all the necessary resources are functional and that in every area there are also enough resources to handle bigger situations. In the case of a large or national catastrophe the Ministry of the Interior takes the lead.

In an operational sense, the governmental and provincial levels don’t have much to do as far as daily incidents are concerned. In the case of a national catastrophe, where there are hundreds of thousands of people in danger, these organisations start to function at the operational level.

Forest officials are urged to use more prescribed burning for ecological reasons (see below). This, in fact, would not interfere with fire prevention if the prescribed burns can be properly controlled.

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Figure 2. The organisation of fire and rescue services in Finland

Impact of wildfires in Finland

Forest fire is one of many incident types in Finland. We can get a general picture of this when we study the incident statistics. Forest fires form only approximately two percent of all the incidents where the fire brigades respond.

The last reported casualty in a forest fires was at the beginning of the 1980s when a firefighter got lost in a peat fire and died. There was another similar incident in the 1970s.

Property and the environment are mainly at risk from forest fires in Finland. All in all, forest fire damage in Finland has been very low indeed, i.e. less than 10 million Finnish Marks per year. There is no significant damage to ecology or public health.

Forest fire database

The forest fire database in Finland is in an electronic format from 1993 on. However, a new database has been recently introduced in which information from 1995 on is being processed.

The total area burned has been very small over the last two decades as shown in Figure 3 and the statistical table (Table 1).

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Figure 3. Average forest area burned annually in Finland by decades since 1952 (in hectares)

Table 1. Wildland fire statistics for Finland, 1990-1999

Year

Total No. of Fires on Forest, Other Wooded Land, & Other Land

Total Area Burned on Forest, Other Wooded Land, & Other Land

Area of Forest Burned

Area of Other Wooded Land and Other Land Burned

Human Causes

Natural Causes

Unknown Causes

No. ha ha ha No. No. No.

1990

4 000

434

1991

3 400

226

1992

3 800

1 081

1993

2 000

1994

2 500

1 583

1995

2 867

1 438

774

664

1 409

178

577

1996

3 181

901

446

455

1 815

80

502

1997

3 574

1 827

1 333

494

1 731

450

579

1998

1 196

323

121

202

835

38

159

1999

2 769

1 050

550

500

996

337

1 436

Use of prescribed burning

Fire is an important natural factor in forest ecosystem maintenance and dynamics. The use of prescribed fire has decreased since the 1950’s. The lack of forest fires has caused an impoverishment of biodiversity. In addition, the forests have become denser than before. It is envisaged that in the future prescribed burning programmes will be expanded in order to restore biodiversity. A “let burn” policy is currently being discussed. However, more research on burning behaviour in Finnish forests needs to be done before this could be implemented.

The use of prescribed fire is rare for agricultural maintenance or other vegetation management purposes.

Reducing wildfire hazards

As it was mentioned above, the combination of climatic and biogeographic conditions in Finland does not favour the spread of large, catastrophic wildfires. Therefore, special measures for wildfire hazard reduction are not required.

Public policies concerning fire

Finnish forest officials have urged an increase in the use of prescribed fire. The forest certification procedure also requires a certain amount of prescribed burning. The Finnish Ministry of the Interior accepts prescribed fires if they are properly managed so that they do not cause damage to a third party. Together with the University of Helsinki the Finnish Ministry of the Interior is conducting a research programme on forest fire behaviour (Frelander 2000, Kuuluvainen 2000).

The role of the Finnish Ministry of the Interior is to protect life, property and the environment. With regard to forest fires the aim is to keep the damage as low as it is today. Prescribed fires are acceptable if they are properly managed and confined within prescription.

References

Frelander, H. 2000. New forest fire risk and fire behaviour research project. International Forest Fire News No. 22, 24.
Heikinheimo, M. 1998. Renewing the system for forest fire risk assessment at the Finnish Meteorological Institute. International Forest Fire News No. 18, 65-67.
Kelhä, V. 1998. Automatic forest fire alert by satellite. International Forest Fire News No. 18, 63-65.
Kuuluvainen, T. 2000. Simulation of disturbance and successional dynamics of natural and managed boreal forest landscapes. International Forest Fire News No. 22, 24.

Contact address:

Taito Vainio
Ministry of the Interior
Rescue Department
P.O. Box 26
FIN-00023 Government
FINLAND

Fax: +358-9-1604672
Tel: +358-9-1602982
e-mail: taito.vainio@sm.intermin.fi


[ Top | IFFN No. 24 | Specials | CountryNotes ]

24. November 2017/by GFMCadmin

Finland: Automatic Forest Fire Management Workstation for NOAA AVHRR Data       (IFFN No. 10 – January 1994)

fi

 

AutomaticForest Fire Management Workstation
for NOAA AVHRR Data

(IFFN No. 10 – January 1994, p. 10-11)      


Prototype software for a forest fire workstation has been developed for automatic detection and monitoring of forest fires. Data from the AVHRR (Advanced Very High Resolution Radiometer) sensor of the NOAA satellites are utilized as the primary input.

The NOAA images are transferred from a receiving station to the workstation via a data transfer network. The images are checked for missing or erroneous lines due to reception errors. Image data are geo-coded using orbital data of the satellite. The geo-coded image data are searched for fire pixels. Detection of fire pixels is based on thresholding AVHRR channel 3 (middle infrared, central wavelength 3.5 µm). Contiguous areas of fire pixels are grouped into fire patches. For each fire patch, an alert message is generated and transmitted to a recipient via electronic mail. In the box below an example of such a message is given:

 

    From: VTINSX::palokuva “Metsapalokuva” 26-OCT-1993 11:02:15.69
    To: rauste
    CC:
    Subj: FIRE_Alert

    A possible forest fire has been detected in data set: n119308121446
    (Acquired on 1993-08-12 at 14:46)
    Channel-3 minimum: 98, 8 pixels
    Co-ordinates: Northing: 4377.8, Easting: 119.0
    (line: 865.9, column: 242.1)

    Best regards:
    Forest-fire workstation (at 93-10-26 11:03)
     

 

The automatic forest-fire monitoring system was tested during the summer season 1993. In Finland, summer 1993 was more rainy than e.g. summer 1992. The test area covered southern Finland, Estonia, Latvia, Lithuania, and parts of Russia. NOAA image data from 1 June to 20 August (with some breaks of a few days) were obtained from the Finnish Meteorological Institute. The system reported 66 NOAA images as containing a possible fire. These 66 images were inspected individually. In four cases, the reported fire was considered to be real fire. Two of the fires could not be verified with fire authorities because the fires were located outside the Finnish territory. One of the fires, which was verified with fire authorities, covered an area of 30 ha. The system has also been tested over the territory of Greece.

Most of the cases where fire was reported by the automatic monitoring system were (specular) reflections from clouds or water. In future development, when the imaging geometry is taken into account in search of fires, the number of false alarms can be reduced significantly.

In forest fire monitoring for fire-fighting activities, it is essential that data in the 3.5 µm band (e.g. NOAA AVHRR channel 3) are available. This spectral band enables the day-time detection of relatively small forest fires. Most forest fires tend to start in the day time. If forest fires are only monitored using visible-wavelength data acquired during the hours of darkness, the fires have a long time to spread before they get detected. This makes the extinguishing of the fires more difficult. In high-latitude boreal forests, the acquisition of night-time images is difficult around mid-summer due to short nights.

The development project of the forest fire workstation was ordered by the Rescue Department of the Finnish Ministry of the Interior.

References

Häme, T. and Y. Rauste 1993. Multitemporal satellite data in forest mapping and fire monitoring, a paper presented at the International Workshop on “Satellite technology and GIS for Mediterranean forest mapping and fire management”, Thessaloniki, Greece, 4-6 November 1993, 13 p. (see report on page 29).

Rauste, Y. 1993. Remote sensing workstation for forest fire fighting – fire detection/monitoring system. Internal report, 17p.

 

 

From: Yrjö Rauste
Address:
VTT Technical Research Centre of Finland
Instrument Laboratory
P.O. Box 107
SF – 02151 Espoo

Phone: ++358-0-456-6286
Fax:     ++358-0-456-4496
E-mail: Yrio.Rauste@vtt.fi


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24. November 2017/by GFMCadmin

 

 

 


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