Time series analysis of land cover change: Developing statistical tools to determine significance of land cover changes in persistence analyses

Remote Sensing

Volumn 6, Issue 5, 2014, Pages 4473-4497

  Waylen, Peter ^a   Southworth, Jane ^a   Gibbes, Cerian ^b   Tsai, Huiping ^a  

^a UNIVERSITY OF FLORIDA   (United States)

^b UNIVERSITY OF COLORADO   (United States)

Author keywords

NDVI; Persistence; Statistical testing; Time series; Vegetation change

Indexed keywords

FINANCIAL DATA PROCESSING; MONTE CARLO METHODS; NORMAL DISTRIBUTION; REMOTE SENSING; STATISTICAL MECHANICS; TIME SERIES ANALYSIS; VEGETATION;

DISTRIBUTED RANDOM VARIABLES; NDVI; PERSISTENCE; REMOTE SENSING APPLICATIONS; REMOTELY SENSED DATA; STATISTICAL SIGNIFICANCE; STATISTICAL TESTING; VEGETATION CHANGE;

STATISTICAL TESTS;

EID: 84901499031     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs6054473     Document Type: Article

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