Distribution of near-surface permafrost in Alaska: Estimates of present and future conditions

Remote Sensing of Environment

Volumn 168, Issue , 2015, Pages 301-315

  Pastick, Neal J ^a,f   Jorgenson, M Torre ^b   Wylie, Bruce K ^b   Nield, Shawn J ^c   Johnson, Kristofer D ^d   Finley, Andrew O ^e  

^a SGT INC   (United States)

^b Alaska Ecoscience ^*  (United States)

^c U S DEPARTMENT OF AGRICULTURE   (United States)

^d USDA FOREST SERVICE   (United States)

^e MICHIGAN STATE UNIVERSITY   (United States)

^f UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Alaska; Data mining; Machine learning; Near surface permafrost; Pedometrics; Remote sensing

Indexed keywords

ARTIFICIAL INTELLIGENCE; ATMOSPHERIC TEMPERATURE; CLIMATE MODELS; DATA FUSION; DATA MINING; ECOLOGY; ECOSYSTEMS; FROZEN SOILS; LAND USE; LEARNING SYSTEMS; MAPS; REMOTE SENSING; THAWING; TREES (MATHEMATICS); UNCERTAINTY ANALYSIS;

ALASKA; AVERAGE AIR TEMPERATURE; BIOPHYSICAL CHARACTERISTICS; ENVIRONMENTAL ASSESSMENT; FUTURE CLIMATE SCENARIOS; NEAR SURFACES; PEDOMETRICS; REMOTELY SENSED IMAGERY;

PERMAFROST;

AIR TEMPERATURE; CALIBRATION; CARBON CYCLE; DATA MINING; ECOSYSTEM FUNCTION; ENVIRONMENTAL ASSESSMENT; LAND USE PLANNING; LANDSCAPE; MACHINE LEARNING; NUMERICAL MODEL; PEDOGENESIS; PERMAFROST; REMOBILIZATION; REMOTE SENSING; SATELLITE IMAGERY; SOIL CARBON; SPATIAL ANALYSIS; THAWING; THEMATIC MAPPING;

ALASKA; UNITED STATES;

EID: 84938068642     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2015.07.019     Document Type: Article

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