Remote Sensing-Based Quantification of the Impact of Flash Flooding on the Rice Production: A Case Study over Northeastern Bangladesh.

Ahmed, M Razu; Rahaman, Khan Rubayet; Kok, Aaron; Hassan, Quazi K

Ahmed, M Razu; Rahaman, Khan Rubayet; Kok, Aaron; Hassan, Quazi K.

Afiliación

Ahmed MR; Department of Geomatics Engineering, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N 1N4, Canada. mohammad.ahmed2@ucalgary.ca.
Rahaman KR; Department of Geomatics Engineering, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N 1N4, Canada. krrahama@ucalgary.ca.
Kok A; Department of Geomatics Engineering, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N 1N4, Canada. koka@ucalgary.ca.
Hassan QK; Department of Geomatics Engineering, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N 1N4, Canada. qhassan@ucalgary.ca.

Sensors (Basel) ; 17(10)2017 Oct 14.

Article en En | MEDLINE | ID: mdl-29036896

Palabras clave

Landsat-8; MODIS; boro rice; multi-temporal data; normalized difference vegetation index (NDVI)

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2017 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Suiza

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