Wheat Drought Assessment by Remote Sensing Imagery Using Unmanned Aerial Vehicle

Chinese Control Conference, CCC

Volumn 2018-July, Issue , 2018, Pages 10340-10344

  Su, Jinya ^a,b   Coombes, Matthew ^a   Liu, Cunjia ^a   Guo, Lei ^c   Chen, Wen Hua ^a  

^a LOUGHBOROUGH UNIVERSITY   (United Kingdom)

^b BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^c BEIHANG UNIVERSITY   (China)

Author keywords

Classification; Remote sensing; UAV imagery; Wheat drought

Indexed keywords

ANTENNAS; CLASSIFICATION (OF INFORMATION); DROUGHT; LEARNING SYSTEMS; PIXELS; SOIL MOISTURE; SURVEYS; UNMANNED AERIAL VEHICLES (UAV); WATER CONTENT;

CLASSIFICATION ACCURACY; CLASSIFICATION ALGORITHM; CONTROLLED ENVIRONMENT; FIELD MEASUREMENT; REMOTE SENSING IMAGERY; SOIL WATER CONTENT; SPECTRAL INDICES; STATISTICAL FEATURES;

REMOTE SENSING;

EID: 85054916998     PISSN: 19341768     EISSN: 21612927     Source Type: Conference Proceeding    
DOI: 10.23919/ChiCC.2018.8484005     Document Type: Conference Paper

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