Remote Sens. 2010, 2(10), 2388-2412; doi:10.3390/rs2102388
Article

Mapping Irrigated Lands at 250-m Scale by Merging MODIS Data and National Agricultural Statistics

Received: 26 August 2010; in revised form: 14 October 2010 / Accepted: 15 October 2010 / Published: 19 October 2010
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: Accurate geospatial information on the extent of irrigated land improves our understanding of agricultural water use, local land surface processes, conservation or depletion of water resources, and components of the hydrologic budget. We have developed a method in a geospatial modeling framework that assimilates irrigation statistics with remotely sensed parameters describing vegetation growth conditions in areas with agricultural land cover to spatially identify irrigated lands at 250-m cell size across the conterminous United States for 2002. The geospatial model result, known as the Moderate Resolution Imaging Spectroradiometer (MODIS) Irrigated Agriculture Dataset (MIrAD-US), identified irrigated lands with reasonable accuracy in California and semiarid Great Plains states with overall accuracies of 92% and 75% and kappa statistics of 0.75 and 0.51, respectively. A quantitative accuracy assessment of MIrAD-US for the eastern region has not yet been conducted, and qualitative assessment shows that model improvements are needed for the humid eastern regions where the distinction in annual peak NDVI between irrigated and non-irrigated crops is minimal and county sizes are relatively small. This modeling approach enables consistent mapping of irrigated lands based upon USDA irrigation statistics and should lead to better understanding of spatial trends in irrigated lands across the conterminous United States. An improved version of the model with revised datasets is planned and will employ 2007 USDA irrigation statistics.
Keywords: irrigated area maps; irrigated agriculture; USDA irrigation statistics; MODIS NDVI; geospatial modeling
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MDPI and ACS Style

Pervez, M.S.; Brown, J.F. Mapping Irrigated Lands at 250-m Scale by Merging MODIS Data and National Agricultural Statistics. Remote Sens. 2010, 2, 2388-2412.

AMA Style

Pervez MS, Brown JF. Mapping Irrigated Lands at 250-m Scale by Merging MODIS Data and National Agricultural Statistics. Remote Sensing. 2010; 2(10):2388-2412.

Chicago/Turabian Style

Pervez, Md Shahriar; Brown, Jesslyn F. 2010. "Mapping Irrigated Lands at 250-m Scale by Merging MODIS Data and National Agricultural Statistics." Remote Sens. 2, no. 10: 2388-2412.

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