Knowing fire incidence through fuel phenology: A remotely sensed approach

Ecological Modelling

Volumn 221, Issue 1, 2010, Pages 59-66

  Bajocco, S ^a   Rosati, L ^a   Ricotta, C ^a  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

Author keywords

Fire regime; NDVI; Potential natural vegetation; Procrustes analysis; Redundancy analysis; Sardinia; SPOT Vegetation

Indexed keywords

FIRE REGIMES; NATURAL VEGETATION; PROCRUSTES ANALYSIS; REDUNDANCY ANALYSIS; SARDINIA; SPOT VEGETATION;

FIRES; FORESTRY; FUELS; MAPPING; QUALITY ASSURANCE; REDUNDANCY; REMOTE SENSING; TIME MEASUREMENT;

VEGETATION;

BIOCLIMATOLOGY; FIRE BEHAVIOR; FIRE MANAGEMENT; FUEL; NDVI; PHENOLOGY; PHYTOGEOGRAPHY; REMOTE SENSING; SATELLITE; SPATIAL ANALYSIS; TEMPORAL ANALYSIS; VEGETATION DYNAMICS; WILDFIRE;

EURASIA; EUROPE; ITALY; SARDINIA; SOUTHERN EUROPE;

EID: 70449714001     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2008.12.024     Document Type: Article

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