A statistical framework for near-real time detection of beetle infestation in pine forests using MODIS data

IEEE Geoscience and Remote Sensing Letters

Volumn 11, Issue 10, 2014, Pages 1717-1721

  Anees, A ^a   Aryal, J ^a  

^a UNIVERSITY OF TASMANIA   (Australia)

Author keywords

Change detection algorithms; least squares approximations; time series analysis

Indexed keywords

DAMAGE DETECTION; FORESTRY; GAUSSIAN DISTRIBUTION; LEAST SQUARES APPROXIMATIONS; RADIOMETERS; SIGNAL DETECTION; TIME SERIES ANALYSIS;

BEETLE INFESTATION; CENTRAL LIMIT THEOREM; CHANGE DETECTION ALGORITHMS; HIGH TEMPORAL RESOLUTION; NON-LINEAR LEAST SQUARES; NON-STATIONARITIES; SPATIAL RESOLUTION; STATISTICAL FRAMEWORK;

TIME SERIES;

EID: 84901322175     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2014.2306712     Document Type: Article

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