Remote Sensing Applications and Decision Support

Rice yield estimation using Landsat ETM+ Data

[+] Author Affiliations
Altaf Ali Siyal

Sindh Agriculture University, Faculty of Agricultural Engineering, Tandojam, Pakistan

Mehran University of Engineering & Technology, U.S.-Pakistan Center for Advanced Studies in Water (USPCAS-W), Jamshoro, Pakistan

Jan Dempewolf, Inbal Becker-Reshef

University of Maryland, Department of Geographical Sciences, 2181 Samuel J. LeFrak Hall, 7251 Preinkert Drive, College Park, Maryland 20742, United States

J. Appl. Remote Sens. 9(1), 095986 (Nov 18, 2015). doi:10.1117/1.JRS.9.095986
History: Received May 28, 2015; Accepted October 19, 2015
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Abstract.  Paddy rice areas in Larkana district in Sindh province, Pakistan, were mapped over eight years. Landsat 7 ETM+ satellite imagery was classified for rice areas using training data collected through visual interpretation and using a bagged decision tree approach. Within the rice areas, we estimated yield for the 2013 season using regression models based on Landsat-derived normalized difference vegetation index (NDVI) and ratio vegetation index (RVI) values against historic, reported yield values. The annual cropped rice area estimated from satellite imagery was between 19% and 24% lower than the area reported by the Crop Reporting Service, Sindh. A positive and strong relationship with coefficient of determination (R2) of 0.94 was observed between the reported rice crop yield and NDVI at the peak of the growing season for the years 2006 to 2013. A fair relation (R2=0.875) between rice crop yield and RVI was observed for the same years. A strong relationship between observed and predicted rice production with model efficiency=0.925, mean bias error=85,016t, and RMSE=80,726t was obtained. Thus, Landsat ETM+ has a high potential for estimating rice yield and production at the district level in Pakistan and elsewhere.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Topics

Landsat ; Vegetation

Citation

Altaf Ali Siyal ; Jan Dempewolf and Inbal Becker-Reshef
"Rice yield estimation using Landsat ETM+ Data", J. Appl. Remote Sens. 9(1), 095986 (Nov 18, 2015). ; http://dx.doi.org/10.1117/1.JRS.9.095986


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