Quantifying drought-induced tree mortality in the open canopy woodlands of central Texas

Remote Sensing of Environment

Volumn 181, Issue , 2016, Pages 54-64

  Schwantes, Amanda M ^a   Swenson, Jennifer J ^a   Jackson, Robert B ^a,b  

^a DUKE UNIVERSITY   (United States)

^b STANFORD UNIVERSITY   (United States)

Author keywords

Canopy loss; Change detection; Die back; Disturbance; Drought; Landsat time series; Landtrendr; Random forest; Tree mortality; Zero or one inflated beta regression models

Indexed keywords

CARBON; DECISION TREES; DROUGHT; FORESTRY; MEAN SQUARE ERROR; PIXELS; REGRESSION ANALYSIS; TIME SERIES;

CHANGE DETECTION; DISTURBANCE; LANDSAT TIME SERIES; LANDTRENDR; RANDOM FORESTS; REGRESSION MODEL; TREE MORTALITY;

CLIMATE CHANGE;

ALGORITHM; CANOPY GAP; DIEBACK; DROUGHT; ENVIRONMENTAL DISTURBANCE; LANDSAT; MORTALITY; NOISE; NUMERICAL MODEL; PIXEL; REGRESSION ANALYSIS; REMOTE SENSING; SATELLITE IMAGERY; TIME SERIES ANALYSIS; TREE; WOODLAND;

TEXAS; UNITED STATES;

EID: 84962802435     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2016.03.027     Document Type: Article

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