Burned area in Kalimantan, Indonesia mapped with NOAA-AVHRR and Landsat TM imagery
نویسندگان
چکیده
Fire scars in Kalimantan, Indonesia were mapped using optical and thermal data from the NOAA-AVHRR satellite sensor. Forty-four high-resolution picture transmission images mapped at 1 km spatial resolution were selected for a period immediately after intense biomass burning from October–December 1997. Composite images of the Normalized DiŒerence Vegetation Index (NDVI), surface temperature (ST), and albedowere used to examine the spatial distribution of re scars. Owing to clouds and smoke, 10-week composites of surface temperature, NDVI and albedo were needed to reduce atmospheric eŒects and a range of diŒerent thresholds was applied to the composites to form sets of decision rules involving NDVI, ST, and albedo. The results of each AVHRR re product were checked against a re-scar map derived from a supervised classi cation of a Landsat TM scene. An overall classi cation accuracy of approximately 80% (k 5 0.51) was achieved with criteria ST a > 305 and NDVI a < 0.35, where ST a was the surface temperature and NDVI a was the NDVI at the time of minimum albedo. Application of this decision rule to the portion of Kalimantanwithin the AVHRR window revealed a maximum of approximately 13.18 million ha of Kalimantan, or about 25% of the study area, burned during the latter half of 1997. The results suggest that multiple thresholds of NDVI, ST, and albedo may be used to map burned area in tropical environments similar to those of Kalimantan.
منابع مشابه
Comparison of ATSR and NOAA AVHRR hotspot data acquired during an exceptional fire event in Kalimantan (Indonesia)
In 1997 and 1998 uncontrolled fires devastated huge tracts of tropical rainforests in Kalimantan on the island of Borneo in Indonesia. Here we report on results of a comparative study of ERS-2 ATSR hotspot and NOAA-AVHRR hotspot data used to analyse the extent of this disaster. A burned scar map derived from a Landsat TM image acquired after the fires and extensive ground data were used to asse...
متن کاملAn assessment of the accuracy of DOLA’s northern Australian NOAA-AVHRR Fire Affected Area (FAA) map products - appendix 2
A standard method for assessing the accuracy of fire mapping derived from NOAA-AVHRR imagery was applied to five Landsat scenes sampling different regions across northern Australia. The procedure involved the undertaking of: (1) detailed ground verification exercises (using ground and aerial transects) at the time of Landsat overpasses; (2) assessment of the accuracy of fire mapping derived fro...
متن کاملThe 1998 Forest Fires in East Kalimantan (Indonesia): A Quantitative Evaluation Using High Resolution, Multitemporal ERS-2 SAR Images and NOAA-AVHRR Hotspot Data
Boosted by the 1997/98 El Niño-Southern Oscillation The process of selective logging produces millions of tons (ENSO) phenomena, uncontrolled fires have destroyed of dead biomass, which serves as fuel for fires. Fire is used huge areas of rainforest and bush land in Indonesia. for large-scale land clearing, for example, for pulpwood Thick smoke covered large areas over SE Asia for and industria...
متن کاملTiming Constraints on Remote Sensing of Wildland Fire Burned Area in the Southeastern US
Remote sensing using Landsat Thematic Mapper (TM) satellite imagery is increasingly used for mapping wildland fire burned area and burn severity, owing to its frequency of collection, relatively high resolution, and availability free of charge. However, rapid response of vegetation following fire and frequent cloud cover pose challenges to this approach in the southeastern US. We assessed these...
متن کاملSPOT VEGETATION for characterizing boreal forest fires
The potential of the recent SPOT VEGETATION (VGT) sensor for characterizing boreal forest res was investigated. Its capability for hotspot detection and burned area mapping was assessed by analysing a series of VGT, NOAA/AVHRR, and Landsat TM images over a 1541 km2 re that occurred in May 1998, in Alberta, Canada. VGT’s 1.65mm, short-wave infrared (SWIR) channel was capable of detecting the...
متن کامل