Evaluation of remote sensing-based active fire datasets in Indonesia

Evaluation of remote sensing-based active fire datasets in Indonesia

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.

Authors: Stolle, F.; Dennis, R.A.; Kurniawan, I.; Lambin, E.F.

Topic: fire,forest fires,remote sensing,data analysis,spatial data,satellite imagery

Geographic: Indonesia

Publication Year: 2004

ISSN: 0143-1161

Source: International Journal of Remote Sensing 25(2): 471-479

DOI: 10.1080/01431160310001618022

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Cited 11 times in crossref.org


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