Satellite remote sensing for evaluation of burned peat swamp forest
2005
Mohammad Hasli Salleh Celestial | Mui-How, P | Abang Norizan Abang Median | Mohd. Abdullah Abd. Ghani
This paper discusses information extraction on burned peat swamp forest at Klias Forest Reserve, Sabah, Malaysia, using satellite data. The study area is a part of the extensive peat swamp forest of Klias Peninsula, but was severely damaged by forest fires especially during the 1997 El Nino event. Information related to the damage including burned area and its distribution, as well as some forest variables, can aid fire management. The burned area and distribution were evaluated using multi-temporal satellite images of landsat-TM 1997 and Landsat ETM 1999. The burned areas were detected using image differencing technique based on Normalized Burn Ratio (NBR)and Normalized Difference Vegetation Index (NDVI). The NBR differencing, with the accuracy of 86% and 71% for total accuracy and coefficient of kappa, was superior to the NDVI differencing. Lower and upper estimates of the burned area were 262 ha and 300 ha, respectively. This represents approximately 7- 8% of the forest reserve. We also examined the correlation between the 1999 satellite data including transformed indices, and forest variables. Among the satellite variables, NBR show relatively strong correlations with dark soil colour percent, number of tree crowns and number of green tree crowns. These variables indicate directly and indirectly the degree of damage due to the fire and are important to rehabilitation and fire risks management.
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Эту запись предоставил Universiti Putra Malaysia