Mapping spatial variability of crop growth conditions using RapidEye data in Northern Ontario, Canada

Remote Sensing of Environment

Volumn 168, Issue , 2015, Pages 113-125

  Shang, Jiali ^a   Liu, Jiangui ^a   Ma, Baoluo ^a   Zhao, Ting ^a   Jiao, Xianfeng ^b   Geng, Xiaoyuan ^a   Huffman, Ted ^a   Kovacs, John M ^c   Walters, Dan ^c  

^a OTTAWA RESEARCH AND DEVELOPMENT CENTRE   (Canada)

^b NATURAL RESOURCES CANADA   (Canada)

^c NIPISSING UNIVERSITY   (Canada)

Author keywords

Green effective PAI; Leaf chlorophyll content; RapidEye; Red edge; Vegetation index

Indexed keywords

AGRICULTURAL ROBOTS; CHLOROPHYLL; FORESTRY; MAPPING; PRECISION AGRICULTURE; REFLECTION; VEGETATION;

ENVIRONMENTAL CONDITIONS; HEMISPHERICAL PHOTOGRAPHY; LEAF CHLOROPHYLL CONTENT; NORMALIZED DIFFERENCE VEGETATION INDEX; RAPIDEYE; RED EDGE; SPATIAL AND TEMPORAL VARIABILITY; VEGETATION INDEX;

CROPS;

ABSORPTION; CANOLA; CHLOROPHYLL; CROP YIELD; ENVIRONMENTAL CONDITIONS; EOS; GROWTH RATE; LEAF AREA; LIMITING FACTOR; PRECISION AGRICULTURE; RAPIDEYE; SATELLITE DATA; SATELLITE IMAGERY; SATELLITE SENSOR; SPATIAL VARIATION; SPATIOTEMPORAL ANALYSIS; VEGETATION INDEX; WHEAT;

CANADA; ONTARIO [CANADA];

BRASSICA NAPUS; BRASSICA NAPUS VAR. NAPUS; TRITICUM AESTIVUM;

EID: 84936929352     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2015.06.024     Document Type: Article

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