Evaluation of remote sensing-based active fire datasets in Indonesia

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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.

Document Type: Research Article

DOI: http://dx.doi.org/10.1080/01431160310001618022

Affiliations: 1: Global Forest Watch World Resources Institute 10 G Street NE Washington DC 20002 USA 2: Center for International Forestry Research (CIFOR) P.O. Box 6596 JKPWB Jakarta 10065 Indonesia 3: Department of Geography Université catholique de Louvain Place Louis Pasteur 3 B-1348 Louvain-la-Neuve Belgium

Publication date: January 1, 2004

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