An automated approach to map the history of forest disturbance from insect mortality and harvest with landsat time-series data

Remote Sensing

Volumn 6, Issue 4, 2014, Pages 2782-2808

  Neigh, Christopher S R ^a   Bolton, Douglas K ^b   Diabate, Mouhamad ^c   Williams, Jennifer J ^d   Carvalhais, Nuno ^e,f  

^a NASA GODDARD SPACE FLIGHT CENTER   (United States)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^c UNIVERSITY OF MARYLAND   (United States)

^d ROYAL BOTANIC GARDENS   (United Kingdom)

^e MAX PLANCK INSTITUTE FOR BIOGEOCHEMISTRY   (Germany)

^f UNIVERSIDADE NOVA DE LISBOA   (Portugal)

Author keywords

AVHRR; Classification; Decision tree; Disturbance; Forest; Harvest; Insect; Landsat; Mortality; US

Indexed keywords

AVHRR; DISTURBANCE; FOREST; INSECT; LANDSAT; MORTALITY; US;

ADVANCED VERY HIGH RESOLUTION RADIOMETERS (AVHRR); ALGORITHMS; CLASSIFICATION (OF INFORMATION); DECISION TREES; HARVESTING; IMAGE ANALYSIS; SPECTROSCOPY; VEGETATION;

FORESTRY;

EID: 84898062309     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs6042782     Document Type: Article

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