Retrieving vegetation growth patterns from soil moisture, precipitation and temperature using maximum entropy

Ecological Modelling

Volumn 309-310, Issue , 2015, Pages 10-21

  Sohoulande Djebou, Dagbegnon C ^a   Singh, Vijay P ^a,b  

^a Texas A and M University   (United States)

^b Texas AandM University   (United States)

Author keywords

Atmospheric variables; Entropy theory; NDVI; Texas Gulf watershed

Indexed keywords

ATMOSPHERIC TEMPERATURE; CLIMATE CHANGE; ECOLOGY; ECOSYSTEMS; ENTROPY; FORESTRY; MAXIMUM ENTROPY METHODS; MOISTURE; MOISTURE CONTROL; REMOTE SENSING; SOIL MOISTURE; SOILS; VEGETATION; WATER RESOURCES; WATERSHEDS;

ATMOSPHERIC VARIABLES; ENTROPY THEORY; NDVI; NORMALIZED DIFFERENTIAL VEGETATION INDICES; PRECIPITATION TEMPERATURE; SATELLITE SOIL MOISTURE; STATISTICAL MODELING; WATER RESOURCES MANAGEMENT;

SOIL SURVEYS;

CLIMATE CHANGE; ENTROPY; GROWING SEASON; GROWTH RATE; NDVI; PRECIPITATION (CHEMISTRY); SOIL MOISTURE; TIMESCALE; WATER MANAGEMENT; WATERSHED;

ENTROPY; MOISTURE; PLANTS; PRECIPITATION; SOIL; TEMPERATURE; WATER SHEDS;

TEXAS; UNITED STATES;

EID: 84928729161     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2015.03.022     Document Type: Article

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