Quantifying forest spatial pattern trends at multiple extents: An approach to detect significant changes at different scales

Remote Sensing

Volumn 6, Issue 10, 2014, Pages 9298-9315

  Frate, Ludovico ^a   Saura, Santiago ^b   Minotti, Michele ^a   di Martino, Paolo ^a   Giancola, Carmen ^a   Carranza, Maria Laura ^a  

^a UNIVERSITY OF MOLISE   (Italy)

^b UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

Central Italy; Forest regrowth; Modified random cluster algorithm; Pattern metrics; Scalogram; Statistical significance of change; Stochastic simulations

Indexed keywords

REFORESTATION; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

CENTRAL ITALY; CLUSTER ALGORITHMS; FOREST REGROWTH; PATTERN METRICS; SCALOGRAM; STATISTICAL SIGNIFICANCE; STOCHASTIC SIMULATIONS;

FORESTRY;

ALGORITHMS; FORESTS; MAPS; REFORESTATION; STATISTICAL ANALYSIS;

EID: 84922015658     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs6109298     Document Type: Article

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