Aerial multispectral imaging for crop hail damage assessment in potato

Computers and Electronics in Agriculture

Volumn 127, Issue , 2016, Pages 406-412

  Zhou, Jianfeng ^a   Pavek, Mark J ^a   Shelton, Seth C ^a   Holden, Zachary J ^a   Sankaran, Sindhuja ^a  

^a WASHINGTON STATE UNIVERSITY   (United States)

Author keywords

Crop loss; Remote sensing; UAV; Vegetation indices

Indexed keywords

CROPS; PRECIPITATION (METEOROLOGY); REMOTE SENSING; STORMS; UNMANNED AERIAL VEHICLES (UAV); VEGETATION;

CONVENTIONAL METHODS; CORRELATION ANALYSIS; CROP LOSS; GREEN NORMALIZED DIFFERENCE VEGETATION INDEX; MULTISPECTRAL IMAGES; MULTISPECTRAL IMAGING; NORMALIZED DIFFERENCE VEGETATION INDEX; VEGETATION INDEX;

DAMAGE DETECTION;

AERIAL PHOTOGRAPHY; CORRELATION; CROP DAMAGE; CROP YIELD; DEFOLIATION; FEASIBILITY STUDY; HAIL; IMAGE RESOLUTION; NDVI; POTATO; REGROWTH; STORM; UNMANNED VEHICLE;

SOLANUM TUBEROSUM;

EID: 84977083730     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2016.06.019     Document Type: Article

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