Lidar-based estimates of aboveground biomass in the continental US and Mexico using ground, airborne, and satellite observations

Remote Sensing of Environment

Volumn 188, Issue , 2017, Pages 127-140

  Nelson, Ross ^a   Margolis, Hank ^a,b   Montesano, Paul ^a,c   Sun, Guoqing ^a,d   Cook, Bruce ^a   Corp, Larry ^a,c   Andersen, Hans Erik ^e   deJong, Ben ^f   Pellat, Fernando Paz ^g   Fickel, Thaddeus ^h   Kauffman, Jobriath ⁱ   Prisley, Stephen ⁱ  

^a NASA GODDARD SPACE FLIGHT CENTER   (United States)

^b NASA HEADQUARTERS   (United States)

^c SCIENCE SYSTEMS AND APPLICATIONS INC   (United States)

^d UNIVERSITY OF MARYLAND   (United States)

^e UNIVERSITY OF WASHINGTON   (United States)

^f Grupo Académico Adaptación Humana y Manejo de Recursos en Ecosistemas Tropicales   (Mexico)

^g Colegio de Postgraduados en Ciencias Agrícolas ^*  (Mexico)

^h Infrared Baron Inc   (United States)

ⁱ VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

Forest biomass; Hybrid 3 phase sampling; ICESat GLAS; Model based

Indexed keywords

BIOMASS; FORESTRY; LIFE SUPPORT SYSTEMS (SPACECRAFT); ORBITS; PREDICTIVE ANALYTICS; REGRESSION ANALYSIS;

AIRBORNE LASER SCANNING; FOREST BIOMASS; ICESAT/GLAS; MODEL-BASED OPC; MODELING VARIABILITY; NATIONAL FOREST INVENTORIES; REGRESSION COEFFICIENT; SATELLITE OBSERVATIONS;

OPTICAL RADAR;

ABOVEGROUND BIOMASS; AIRBORNE SURVEY; FOREST ECOSYSTEM; FOREST INVENTORY; GLAS; LIDAR; SAMPLING; SATELLITE LASER RANGING;

MEXICO [NORTH AMERICA]; NORTH DAKOTA; OREGON; UNITED STATES;

EID: 84995739685     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2016.10.038     Document Type: Article

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