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Evaluation of remote sensingbased active fire datasets in Indonesia

By F. Stolle, R. A. Dennis, I. Kurniwan and E. F. Lambin

Abstract

Abstract. Eight different fire datasets for Indonesia were compared with each other and to fine spatial resolution burnscar maps. Results show that each dataset detects different fires. More than two-thirds of the fires detected by one dataset are not detected by any other dataset. None of the datasets detect fires in all test areas. Fire regime, satellite sensor characteristics and fire detection algorithms all influence which fires are detected. Fire datasets were not complementing each other as they all had commission as well as omission errors. 1

Year: 2004
DOI identifier: 10.1080/01431160310001618022
OAI identifier: oai:CiteSeerX.psu:10.1.1.576.5205
Provided by: CiteSeerX
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