The potential of multidiurnal MODIS thermal band data for coal fire detection

International Journal of Remote Sensing

Volumn 29, Issue 3, 2008, Pages 923-944

  Kuenzer, C ^a   Hecker, C ^b   Zhang, J ^a   Wessling, S ^c   Wagner, W ^a  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

^b UNIVERSITY OF TWENTE   (Netherlands)

^c LEIBNIZ INSTITUTE FOR APPLIED GEOPHYSICS   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA REDUCTION; FIRE DETECTORS;

COAL FIRE DETECTION; THERMAL ANOMALY EXTRACTION; THERMAL CLUSTERS; THERMAL MONITORING; THERMAL SENSORS;

REMOTE SENSING;

ALGORITHM; ASTER; COAL MINING; DETECTION METHOD; EXTRACTION; HOT SPOT; LANDSAT; MODIS; ZONATION;

EID: 37549009540     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160701352147     Document Type: Article

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