การตรวจวัดพื้นที่ฟื้นฟูไฟป่าเขตอนุรักษ์ในพื้นที่จังหวัดเลยด้วยข้อมูลภาพถ่ายจากดาวเทียม LANDSAT หลายช่วงเวลา
Article Sidebar
Main Article Content
Abstract
This study aimed to identify the wildfire area occurred in 1998, to assess forest recovery and to analyze the physical factors affected the restoration of national parks and wildlife sanctuaries in Loei province by using Landsat imagery in time series during 1999-2017. The images collected in 1998 were used to extract wildfire areas using the differenced normalized burn ratio (dNBR) in order to analyze the forest recovery during 1999 to 2017 with the burn recovery ratio (BRR). Five levels of BRR were identified including very good, good, moderate, poor, and very poor. The correlation between the recovery index and physical factors, i.e. rainfall, temperature, relative humidity, distance from the village, and distance from national park office, was analyzed. The result showed that the accuracy of wildfire area map was reliable as 86 %. Phu Luang, Phu Rue and Phukradueng parks were the highest wildfire areas as 2.94, 0.87 and 0.53 %, respectively. The assessment of forest recovery demonstrated the overall accuracy as 87 %. There was rapidly increase as 43 % in 2011 due to the reforestation activities. The recovery slightly decreased by 14 % in 2002 due to the El Nino phenomenon. Furthermore, the distance of national park office was higher correlation (r = 0.65) than other factors. This research can be used to plan forest resources management and to recover deterioration of forest resources.
Article Details
References
Kirdnuan, R., 2001, Forest Fire Controlling of People in the Buffer Zone of Jae Son National Park, Chiang Mai University, Chiang Mai, 115 p. (in Thai)
Jonboonreang, P., 2006, Media Exposure, Knowledge, Conciousness and Participa tion of the People in the Loei Province in Conservation of the Reserved Forest, Loei Rajabhat University, Loei. (in Thai)
Boonchai, S., 2006, Thailand Geography, Bangkok, 334 p. (in Thai)
Brown, A.A. and Davis, K.P., 1973, Forest Fire Control and Use, McGrew-Hill, Inc. Canada, USA.
Loei Forest Fire Control Station, 2011, Information about Forest Fire, Available Source: https://loeiforestfire.wordpress.com/สาระน่ารู้เกี่ยวกับไฟป่า, March 6, 2018. (in Thai)
Udomsilp, A., Wiwatwitt, D. and Kaitpra neet, S., 1998, Effects of forest fire on soil arthropods at Phu Kradung national park, Thai J. For. 17(1): 8-17. (in Thai)
Saksit, P. and Wiwitkunkasem, K., 2014, The Relationship of the Topography and the Forest Fire Management of Authorities in Chiang Rai Affects the Configuration of Forest Fire Controlling Tools, King Mongkut's Institute of Technology Ladkrabang, Bangkok. (in Thai)
Ministry of Natural Resources and Environment, 2014, Wildfire and the Consequences, Available Source: https://pr.prd.go.th/nan/ewt_news.php?nid=1957&filename=ov, February 2, 2018. (in Thai)
Royal forest department, 2014, Effects of Wildfire, Available Source: https://www.fo rest.go.th/wildfire/index, March 5, 2018. (in Thai)
Meteorological Department, 2017, Loei Meteorological Department, Meteorologi cal Center, Available Source: https://climate.tmd.go.th/data/province/pdf, March 1, 2018. (in Thai)
National Park, Wildlife and Plant Conservation Department, 2017, Strategy to Improve Forest Fire Problems 2017, Ministry of Natural Resources and Environment, Bangkok. (in Thai)
Khumsaprom, P. and Pattaratuma, A., 2004, People participation in forest fire control surrounding Phu Ruea national park Loei province, Thai J. For 23(2): 169-182. (in Thai)
Senivongs, P., 2011, We Prepared for the Disaster Occurrence, Available Source: https://www.openbase.in.th/node/14841, March 1, 2018. (in Thai)
Chompuchan, C. and Lin, C.Y., 2017, Assessment of forest recovery at Wu-Ling fire acars in Taiwan using multi-temporal Landsat imagery, Ecol. Indicat. 79: 196-206.
Duangyiwa, C., 2009, Dynamic Behaviors of Forest Fire in Upper Nan Wastershed During 1999-2007, Doctoral Dissertation, Chulalongkorn University, Bangkok. (in Thai)
United States Geological Survey, Earth Explorer, Available Source: https://earth explorer.usgs.gov, May 2, 2018.
Dechaphongthana, W., Karnchanasutham, S., Nualchawee, K. and Intarawichian, N., 2017, Estimation of land surface temperature of land using satellite data, Thai Sci. Technol. J. 25(3): 377-387. (in Thai)
Boonyanuphap, J., 2015, Canopy Rainfall Interception and its Ecological Valuation in the Upstream Area, Naresuan University, Phitsanulok. (in Thai)
Geo-Informatics and Space Technology Development Agency (Public Organization), 2015, Material of Using Geoinformatics to Monitor Forest fire and Smoke, Ministry of Science and Technology, Bangkok. (in Thai)
Humboldt state University, 2015, Learning Module 5.1 Image Enhancements (Part II), Available Source: https://gsp.humboldt.edu/olm_2015/Courses/GSP_216_Online/lesson5-1/NBR.html, April 2, 2018.
Geo-Informatics and Space Technology Development Agency (Public Organiza tion), 2016, Conclusion of Forest Fire and Smoke Situation from MODIS Satellite Image and Barned area from Landsat 8 Image in 2015, Ministry of Science and Technology, Bangkok. (in Thai)
Maneechot, S., Mongkolsawat, C. and Charuppat, T., 2011, Evaluating satellite - derived data for mapping wildfire area, J. Remote Sens. GIS Assoc. Thailand 12(1): 35-55. (in Thai)
Yotongyos, M. and Swasdison, P., 2001, Defined Sampling Data for Research, Academic Services Center, Institute of Research Promotion and Innovation Development. (in Thai)
Kasetsart University, 1999, Mathematics and Computers in Everyday Life, Available Source: https://web.ku.ac.th/schoolnet/snet2/knowledge_math/relation/relate2b.htm, April 10, 2018. (in Thai)
Kongjun, T., 2011, El Nino and La Nina phenomenon in Thailand, Office of Water Management and Hydrology, Royal Irrigation Department 54(1): 66-69. (in Thai)
ChindaSanguan, L. and Maiklad, P., 1988, Water resources development for agriculture, Thai Junior Encyclopedia Project by Royal Command of H.M. the King 12(1): 271-286. (in Thai)