Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine

Remote Sensing of Environment

Volumn 185, Issue , 2016, Pages 142-154

  Dong, Jinwei ^a   Xiao, Xiangming ^a,b   Menarguez, Michael A ^a   Zhang, Geli ^a   Qin, Yuanwei ^a   Thau, David ^c   Biradar, Chandrashekhar ^d   Moore, Berrien ^a  

^a UNIVERSITY OF OKLAHOMA   (United States)

^b FUDAN UNIVERSITY   (China)

^c GOOGLE INC   (United States)

^d INTERNATIONAL CENTER FOR AGRICULTURAL RESEARCH IN THE DRY AREAS ICARDA   (Jordan)

Author keywords

Cloud computing; Google Earth Engine; Landsat 8; Paddy rice; Phenology and pixel based algorithm

Indexed keywords

BIOLOGY; CLOUD COMPUTING; DISEASE CONTROL; ENGINES; FOOD SUPPLY; GAS EMISSIONS; GREENHOUSE GASES; MAPPING; PIXELS; SPATIAL DISTRIBUTION; WATER MANAGEMENT; WATER RESOURCES;

DISEASE TRANSMISSION; GEOGRAPHIC CHARACTERISTICS; GEOGRAPHIC COVERAGE; GOOGLE EARTHS; LANDSAT; PADDY RICE; VERY HIGH RESOLUTION (VHR) IMAGE; WATERRESOURCE MANAGEMENT;

ALGORITHMS;

ALGORITHM; DISEASE CONTROL; FLOODING; FOOD SECURITY; GREENHOUSE GAS; INTERNET; LANDSAT; PADDY FIELD; PHENOLOGY; PIXEL; RESOURCE MANAGEMENT; RICE; SPATIAL DISTRIBUTION; WATER RESOURCE;

CHINA; JAPAN; NORTH KOREA; SOUTH KOREA;

EID: 84961219003     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2016.02.016     Document Type: Article

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