Large-scale estimation of aboveground biomass in miombo woodlands using airborne laser scanning and national forest inventory data

Remote Sensing of Environment

Volumn 186, Issue , 2016, Pages 626-636

  Ene, Liviu Theodor ^a   Næsset, Erik ^a   Gobakken, Terje ^a   Mauya, Ernest William ^a   Bollandsås, Ole Martin ^a   Gregoire, Timothy G ^b   Ståhl, Göran ^c   Zahabu, Eliakimu ^d  

^a NORWEGIAN UNIVERSITY OF LIFE SCIENCES   (Norway)

^b Yale School of the Environment   (United States)

^c SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

^d SOKOINE UNIVERSITY OF AGRICULTURE   (Tanzania)

Author keywords

Biomass; Forest survey; Lidar; Miombo woodlands; REDD; Sampling; Tanzania

Indexed keywords

BIOMASS; CLIMATE CHANGE; DEFORESTATION; DEVELOPING COUNTRIES; ENVIRONMENTAL REGULATIONS; GLOBAL WARMING; LASER APPLICATIONS; OPTICAL RADAR; REMOTE SENSING; SAMPLING; SURFACE ANALYSIS; SURVEYS; TRACKING (POSITION); UNCERTAINTY ANALYSIS;

MIOMBO WOODLANDS; NATIONAL FOREST INVENTORIES; REDD; REMOTE SENSING TECHNIQUES; SUSTAINABLE FOREST MANAGEMENT; TANZANIA; TWO-STAGE CLUSTER SAMPLING; UNITED NATIONS FRAMEWORK CONVENTION ON CLIMATE CHANGES;

FORESTRY;

ABOVEGROUND BIOMASS; AIRBORNE SENSING; CARBON SINK; DEVELOPING WORLD; EMISSION CONTROL; ESTIMATION METHOD; FOREST INVENTORY; FOREST MANAGEMENT; LASER; SUSTAINABILITY; UNITED NATIONS FRAMEWORK CONVENTION ON CLIMATE CHANGE; WOODLAND;

TANZANIA;

EID: 84989315091     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2016.09.006     Document Type: Article

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