Using spatial statistics tools on remote-sensing data to identify fire regime linked with savanna vegetation degradation

International Journal of Agricultural and Environmental Information Systems

Volumn 4, Issue 1, 2013, Pages 68-82

  Jacquin, Anne ^a   Goulard, Michel ^b  

^a UNIVERSITÉ DE TOULOUSE   (France)

^b UMR 1201 Dynafor   (France)

Author keywords

Fire Regime; General Linear Model (GLM Model); Remote Sensing; Spatial Statistics; Vegetation Dynamics

Indexed keywords

ENVIRONMENTAL FACTORS; EXTENSIVE GRAZING SYSTEMS; FIRE REGIMES; GENERAL LINEAR MODELS; SPATIAL STATISTICS; VEGETATION ACTIVITY; VEGETATION DEGRADATION; VEGETATION DYNAMICS;

DYNAMICS; REMOTE SENSING; STATISTICAL MECHANICS; VEGETATION;

FIRES;

ENVIRONMENTAL FACTOR; FOREST FIRE; GRAZING PRESSURE; MODEL VALIDATION; MODIS; REMOTE SENSING; SATELLITE DATA; SATELLITE IMAGERY; SAVANNA; SPATIAL DATA; VEGETATION COVER; VEGETATION DYNAMICS;

MADAGASCAR;

EID: 84880519361     PISSN: 19473192     EISSN: 19473206     Source Type: Journal    
DOI: 10.4018/jaeis.2013010105     Document Type: Article

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