Change detection of cotton root rot infection over 10-year intervals using airborne multispectral imagery

Computers and Electronics in Agriculture

Volumn 123, Issue , 2016, Pages 154-162

  Yang, Chenghai ^a   Odvody, Gary N ^b   Thomasson, J Alex ^c   Isakeit, Thomas ^d   Nichols, Robert L ^e  

^a SOUTHERN PLAINS AGRICULTURAL RESEARCH CENTER   (United States)

^b TEXAS A AND M UNIVERSITY   (United States)

^c Texas A and M University   (United States)

^d TEXAS A AND M UNIVERSITY   (United States)

^e Agricultural and Environmental Research Division   (United States)

Author keywords

Airborne multispectral imagery; Buffer zone; Change detection; Cotton root rot; Image classification; NDVI

Indexed keywords

COTTON; REMOTE SENSING; SIGNAL DETECTION;

BUFFER ZONES; CHANGE DETECTION; COTTON ROOT ROT; MULTI-SPECTRAL IMAGERY; NDVI;

IMAGE CLASSIFICATION;

AIRBORNE SENSING; BUFFER ZONE; CHEMICAL CONTROL; COTTON; DISEASE CONTROL; FUNGICIDE; IMAGE CLASSIFICATION; NDVI; ROOT ROT; STOCHASTICITY; TEMPORAL VARIATION;

GOSSYPIUM HIRSUTUM;

EID: 84960087937     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2016.02.026     Document Type: Article

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