Downscaling of AMSR-E soil moisture with MODIS products using machine learning approaches

Environmental Earth Sciences

Volumn 75, Issue 15, 2016, Pages

  Im, Jungho ^a   Park, Seonyoung ^a   Rhee, Jinyoung ^b   Baik, Jongjin ^c   Choi, Minha ^c  

^a Ulsan National Institute of Science and Technology   (South Korea)

^b APEC Climate Center   (South Korea)

^c Sungkyunkwan University   (South Korea)

Author keywords

AMSR E; Boosted regression trees; Cubist; Downscaling; MODIS; Random forest; Soil moisture

Indexed keywords

ARTIFICIAL INTELLIGENCE; DECISION TREES; FORESTRY; LEARNING SYSTEMS; MEAN SQUARE ERROR; MICROWAVE SENSORS; MOISTURE CONTROL; RADIOMETERS; REGRESSION ANALYSIS; SATELLITE IMAGERY; SOIL MOISTURE; SOLAR RADIATION; VEGETATION;

BOOSTED REGRESSION TREES; CUBIST; DOWN-SCALING; MODIS; RANDOM FORESTS;

SOIL SURVEYS;

AMSR-E; DOWNSCALING; FOREST ECOSYSTEM; LAND SURFACE; MACHINE LEARNING; MODIS; NDVI; REGRESSION ANALYSIS; REMOTE SENSING; SOIL MOISTURE; SPATIAL DISTRIBUTION; SURFACE TEMPERATURE;

AUSTRALIA; SOUTH KOREA;

EID: 84979497459     PISSN: 18666280     EISSN: 18666299     Source Type: Journal    
DOI: 10.1007/s12665-016-5917-6     Document Type: Article

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