High-resolution mapping of aboveground shrub biomass in Arctic tundra using airborne lidar and imagery

Remote Sensing of Environment

Volumn 184, Issue , 2016, Pages 361-373

  Greaves, Heather E ^a   Vierling, Lee A ^a   Eitel, Jan U H ^a   Boelman, Natalie T ^b,c   Magney, Troy S ^d   Prager, Case M ^c   Griffin, Kevin L ^b,c  

^a UNIVERSITY OF IDAHO   (United States)

^b International Research Institute for Climate and Society   (United States)

^c California Institute of Technology ^*  (United States)

^d CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Climate change; Imnavait; Multisensor fusion; Random Forest; Remote sensing; Shrub expansion

Indexed keywords

CLIMATE CHANGE; DECISION TREES; LANDFORMS; MAPPING; OPTICAL RADAR; REMOTE SENSING; SENSOR DATA FUSION; STATISTICAL METHODS; UNCERTAINTY ANALYSIS;

COEFFICIENT OF VARIATION; HIGH RESOLUTION MAPS; HIGH-RESOLUTION MAPPING; IMNAVAIT; LEAVE-ONE-OUT CROSS VALIDATIONS; MODEL UNCERTAINTIES; RANDOM FOREST MODELING; RANDOM FORESTS;

BIOMASS;

ABOVEGROUND BIOMASS; AIRBORNE SURVEY; CLIMATE CHANGE; FOREST ECOSYSTEM; IMAGE RESOLUTION; LIDAR; RANGE EXPANSION; SATELLITE IMAGERY; SENSOR; SHRUB; TOPOGRAPHIC MAPPING; TUNDRA;

ALASKA; ARCTIC; UNITED STATES;

EID: 84979010694     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2016.07.026     Document Type: Article

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