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Articles

A multi-scale accuracy assessment of the MODIS irrigated agriculture data-set (MIrAD) for the state of Nebraska, USA

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Pages 575-592 | Received 02 Apr 2014, Accepted 23 Jul 2014, Published online: 05 Sep 2014

References

  • Bauer, M. E., M. M. Hixson, B. J. Davis, and J. B. Etheridge. 1978. “Area Estimation of Crops by Digital Analysis of Landsat Data.” Photogrammetric Engineering and Remote Sensing 44: 1033–1043.
  • Brown, J. F., S. Maxwell, and M. S. Pervez. 2009. “Mapping Irrigated Lands Across the United States Using MODIS Satellite Imagery.” In Remote Sensing of Global Croplands for Food Security, edited by P. S. Thenkabail, J. G. Lyon, H. Turral, and C. M. Biradar, 177–198. Boca Raton, FL: Taylor and Francis.
  • Brown, J. F., and M. S. Pervez. 2014. “Merging Remote Sensing Data and National Agricultural Statistics to Model Change in Irrigated Agriculture.” Agricultural Systems 127: 28–40. doi:10.1016/j.agsy.2014.01.004.
  • Burbach, M. 2008. “Density of Active Registered Wells – January 2008.” Conservation and Survey Division and School of Natural Resources Map Series. Accessed August 19, 2014. http://snr.unl.edu/csd-esic/GWMapArchives/2008GWMaps/ActiveIrrWellDensity2008.jpg
  • Chang, J., M. C. Hansen, K. Pittman, M. Carroll, and C. DiMiceli. 2007. “Corn and Soybean Mapping in the United States Using MODIS Time-series Data Sets.” Agronomy Journal 99: 1654–1664. doi:10.2134/agronj2007.0170.
  • Craig, M. E. 2001. “The NASS Cropland Data Layer Program.” Third annual international conference on geospatial information in agriculture, Denver, CO, November 5–7.
  • Dappen, P., J. Merchant, I. Ratcliffe, and C. Robbins. 2007. Delineation of 2005 Land Use Patterns for the State of Nebraska Department of Natural Resources: Final Report. Lincoln: Center for Advanced Land Management Information Technologies, University of Nebraska-Lincoln.
  • DeFries, R. S., and A. S. Belward. 2000. “Global and Regional Land Cover Characterization from Satellite Data: An Introduction to the Special Issue.” International Journal of Remote Sensing 21 (6): 1083–1092. doi:10.1080/014311600210083.
  • Doraiswamy, P. C., T. R. Sinclair, S. Hollinger, B. Akhmedov, A. Stern, and J. Prueger. 2005. “Application of MODIS Derived Parameters for Regional Crop Yield Assessment.” Remote Sensing of Environment 97 (2): 192–202. doi:10.1016/j.rse.2005.03.015.
  • Egbert, S., and B. Mercier. 2000. “Evaluation of Time-series Landsat Thematic Mapper and Derived Spectral Indices for Differentiating Irrigated and Non-irrigated Cropland in a Semi-arid Environment.” Proceedings of the American society of photogrammetry and remote sensing annual meeting, Washington, DC, May 21–26.
  • Gitelson, A. A., A. Vina, T. J. Arkerbauer, D. C. Rundquist, G. Keydan, and B. Leavitt. 2003. “Remote Estimation of Leaf Area Index and Green Leaf Biomass in Maize Canopies.” Geophysical Research Letters 30 (5): 1248. doi:10.1029/2002GL016450.
  • High Plains Regional Climate Center. 2010. Historical Climate Data Summaries. Lincoln, NE: NOAA High Plains Regional Climate Center. http://www.hprcc.unl.edu/data/historical/.
  • Homer, C., C. Huang, L. Yang, B. Wylie, and M. Coan. 2004. “Development of a 2001 National Land-Cover Database for the United States.” Photogrammetric Engineering and Remote Sensing 70 (7): 829–840. doi:10.14358/PERS.70.7.829.
  • Keene, K. M., and C. D. Conley. 1980. “Measurement of Irrigated Acreage in Western Kansas from Landsat Images.” Environmental Geology 3 (2): 107–116. doi:10.1007/BF02473477.
  • Lobell, D. B., and G. P. Asner. 2004. “Cropland Distributions from Temporal Unmixing of MODIS Data.” Remote Sensing of Environment 93: 412–422. doi:10.1016/j.rse.2004.08.002.
  • Maxwell, S. K., J. R. Nuckols, M. H. Ward, and R. M. Hoffer. 2004. “An Automated Approach to Mapping Corn from Landsat Imagery.” Computers and Electronics in Agriculture 43 (1): 43–54. doi:10.1016/j.compag.2003.09.001.
  • Odenweller, J. B., and K. I. Johnson. 1984. “Crop Identification Using Landsat Temporal-spectral Profiles.” Remote Sensing of Environment 14 (1–3): 39–54. doi:10.1016/0034-4257(84)90006-3.
  • Oetter, D. R., W. B. Cohen, M. Berterretche, T. K. Maiersperger, and R. E. Kennedy. 2001. “Land Cover Mapping in an Agricultural Setting Using Multiseasonal Thematic Mapper Data.” Remote Sensing of Environment 76 (2): 139–155. doi:10.1016/S0034-4257(00)00202-9.
  • Ozdogan, M., and G. Gutman. 2008. “A New Methodology to Map Irrigated Areas Using Multi-temporal MODIS and Ancillary Data: An Application Example in the Continental US.” Remote Sensing of Environment 112 (9): 3520–3537. doi:10.1016/j.rse.2008.04.010.
  • Ozdogan, M., and C. E. Woodcock. 2006. “Resolution Dependent Errors in Remote Sensing of Cultivated Areas.” Remote Sensing of Environment 103 (2): 203–217. doi:10.1016/j.rse.2006.04.004.
  • Pervez, M. S., and J. F. Brown. 2010. “Mapping Irrigated Lands at 250-m Scale by Merging MODIS Data and National Agricultural Statistics.” Remote Sensing 2 (10): 2388–2412. doi:10.3390/rs2102388.
  • Price, K. P., S. L. Egbert, M. D. Nellis, R. Y. Lee, and R. Boyce. 1997. “Mapping Land Cover in a High Plains Agro-ecosystem Using a Multidate Landsat Thematic Mapper Modeling Approach.” Transactions of the Kansas Academy of Science (1903-) 100 (1/2): 21. doi:10.2307/3628436.
  • Qi, S. L., A. Konduris, D. W. Litke, and J. Dupree. 2002. Classification of Irrigated Land Using Satellite Imagery, the High Plains Aquifer, Nominal Date 1992, 31 pp. U.S. Geological Survey Water Resources Investigations Report 02-4236. Reston, VA: U.S. Geological Survey.
  • Svoboda, M., D. LeComte, M. Hayes, R. Heim, K. Gleason, J. Angel, B. Rippey, et al. 2002. “The Drought Monitor.” Bulletin of the American Meteorological Society 83 (8): 1181–1190.
  • Thelin, G. P., and F. J. Heimes. 1987. Mapping Irrigated Cropland from Landsat Data for Determination of Water use from the High Plains Aquifer in Parts of Colorado, Kansas, Nebraska, Oklahoma, South Dakota, Texas, and Wyoming, 1–38. U.S. Geological Survey Professional Paper 1400-C. Reston, VA: U.S. Geological Survey.
  • Townshend, J. R. G., and C. Justice. 2002. “Towards Operational Monitoring of Terrestrial Systems by Moderate-Resolution Remote Sensing.” Remote Sensing of Environment 127: 28–40.
  • USDA. 2008. “2007 Census of Agriculture: Farm and Ranch Irrigation Survey. Volume 3 Special Studies Part 1.” United States Department of Agriculture. http://www.agcensus.usda.gov/Publications/2007/Online_Highlights/Farm_and_Ranch_Irrigation_Survey/fris08_1_01.pdf
  • USDA. 2012. Common Land Unit Information Sheet. Washington, DC: United States Department of Agriculture. http://www.fsa.usda.gov/Internet/FSA_File/clu__infosheet_2012.pdf
  • USDA-NASS. 2004. 2002 Census of Agriculture, Summary and State Data; Geographic Area Series, Part 51, Volume 1. AC-02-A-51. Washington, DC: U.S. Department of Agriculture, National Agricultural Statistics Service. http://www.nass.usda.gov/census/ census02/volume1/us/USVolume104.pdf
  • USDA-NASS. 2005. USDA-NASS Quick Stats: Field Crops U.S. Washington, DC: Department of Agriculture, National Agricultural Statistics Service. http://quickstats.nass.usda.gov/
  • Vogelmann, J. E., S. M. Howard, L. Yang, C. R. Larson, B. K. Wylie, and J. N. Van Driel. 2001. “Completion of the 1990’s National Land Cover Data Set for the Conterminous United States.” Photogrammetric Engineering and Remote Sensing 67: 650−662.
  • Wardlow, B. D., and S. L. Egbert. 2003. “A State-level Comparative Analysis of the GAP and NLCD Land-cover Data Sets.” Photogrammetric Engineering and Remote Sensing 69 (12): 1387–1397. doi:10.14358/PERS.69.12.1387.
  • Wardlow, B. D., and S. L. Egbert. 2008. “Large-area Crop Mapping Using Time-series MODIS 250 m NDVI Data: An Assessment for the U.S. Central Great Plains.” Remote Sensing of Environment 112 (3): 1096–1116.
  • Wardlow, B. D., and S. L. Egbert. 2010. “A Comparison of MODIS 250-m EVI and NDVI Data for Crop Mapping: A Case Study for Southwest Kansas.” International Journal of Remote Sensing 31 (3): 805–830. doi:10.1080/01431160902897858.
  • Wardlow, B. D., S. L. Egbert, and J. H. Kastens. 2007. “Analysis of Time-Series MODIS 250 M Vegetation Index Data for Crop Classification in the U.S. Central Great Plains.” Remote Sensing of Environment 108: 290–310. doi:10.1016/j.rse.2006.11.021.
  • Wilson, B., J. Bartley, K. Emmons, J. Bagley, J. Wason, and S. Stankiewicz. 2005. Water Information Management and Analysis System, Version 5, for the Web User Manual, 37. Kansas Geological Survey Open File Report 2005-30. Lawrence: Kansas Geological Survey.

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