Detecting and correcting logically inconsistent crop rotations and other land-use sequences

References

• Anonymous. 2007. USDA, National Agricultural Statistics Service, 2007 Oregon Cropland Data Layer. Accessed 22 January 2015. http://www.nass.usda.gov/research/Cropland/metadata/metadata_or07.htm
   Google Scholar
• Anonymous. 2009. USDA, Natural Resources Conservation Service, Conservation Effects Assessment Project (CEAP). Accessed 22 January 2015. http://www.nrcs.usda.gov/wps/portal/nrcs/main/national/technical/nra/ceap/
   Google Scholar
• Congalton, R. G. 1991. “A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data.” Remote Sensing of Environment 37: 35–46. doi:10.1016/0034-4257(91)90048-B.
   Web of Science ®Google Scholar
• Fernandez-Prieto, D. 2002. “An Iterative Approach to Partially Supervised Classification Problems.” International Journal of Remote Sensing 23: 3887–3892. doi:10.1080/01431160210133563.
   Web of Science ®Google Scholar
• Griffith, S. M., G. M. Banowetz, R. P. Dick, G. W. Mueller-Warrant, and G. W. Whittaker. 2011. “Western Oregon Grass Seed Crop Rotation and Straw Residue Effects on Soil Quality.” Agronomy Journal 103: 1124–1131. doi:10.2134/agronj2010.0504.
   Web of Science ®Google Scholar
• Hoag, D. L. K., G. R. Giannico, J. Li, T. Garcia, W. Gerth, M. Mellbye, G. Mueller-Warrant, et al. 2012. “Calapooia Watershed, Oregon: National Institute of Food and Agriculture-Conservation Effects Assessment Project.” Chapter 19. In How to Build Better Agricultural Conservation Programs to Protect Water Quality: The National Institute of Food and Agriculture–Conservation Effects Assessment Project Experience, edited by D. L. Osmond, D. W. Meals, L. K. H. Dana, and M. Arabi, 387. Ankeny, IA: Soil and Water Conservation Society. Hardcover ISBN 978-0-9769432-9-7. Accessed 6 November 2015. http://www.swcs.org/en/publications/building_better_agricultural_conservation_programs/
   Google Scholar
• 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 & Remote Sensing 70 (7): 829–840. doi:10.14358/PERS.70.7.829.
   Web of Science ®Google Scholar
• Jiang, H., J. R. Strittholt, P. A. Frost, and N. C. Slosser. 2004. “The Classification of Late Seral Forests in the Pacific Northwest USA Using Landsat ETM+ Imagery.” Remote Sensing of Environment 91: 320–331. doi:10.1016/j.rse.2004.03.016.
   Web of Science ®Google Scholar
• Liu, X.-H., A. K. Skidmore, and H. Van Oosten. 2002. “Integration of Classification Methods for Improvement of Land-Cover Map Accuracy.” ISPRS Journal of Photogrammetry and Remote Sensing 56: 257–268. doi:10.1016/S0924-2716(02)00061-8.
   Web of Science ®Google Scholar
• Lu, D., P. Mausel, E. Brondízio, and E. Moran. 2004. “Change Detection Techniques.” International Journal of Remote Sensing 25: 2365–2401. doi:10.1080/0143116031000139863.
   Web of Science ®Google Scholar
• Lu, D., and Q. Weng. 2007. “A Survey of Image Classification Methods and Techniques for Improving Classification Performance.” International Journal of Remote Sensing 28: 823–870. doi:10.1080/01431160600746456.
   Web of Science ®Google Scholar
• Malpica, J. A., and M. C. Alonso. 2008. “A Method for Change Detection with Multi-Temporal Satellite Images Using the RX Algorithm.” International Archives Photogrammetry, Remote Sensing and Spatial Information Sciences XXXVII (B7): 1631–1636.
   Google Scholar
• Manandhar, R., I. O. A. Odeh, and T. Ancev. 2009. “Improving the Accuracy of Land Use and Land Cover Classification of Landsat Data Using Post-Classification Enhancement.” Remote Sensing 1: 330–344. doi:10.3390/rs1030330.
   Web of Science ®Google Scholar
• Mather, P. M. 2004. Computer Processing of Remotely-Sensed Images, An Introduction. Third Addition. Chichester, England: John Wiley & Sons.
   Google Scholar
• Millward, A. A., J. M. Piwowar, and P. J. Howarth. 2006. “Time-Series Analysis of Medium-Resolution, Multisensor Satellite Data for Identifying Landscape Change.” Photogrammetric Engineering & Remote Sensing 72 (6): 653–663. doi:10.14358/PERS.72.6.653.
   Web of Science ®Google Scholar
• Mueller-Warrant, G. W. 1994. “Weed Control in U.S. Grass Seed Crops.” International Herbage Seed Production Research Group Newsletter 21 (Dec): 7–10.
   Google Scholar
• Mueller-Warrant, G. W., S. M. Griffith, G. M. Banowetz, G. W. Whittaker, and K. M. Trippe. 2015. “Inferring Crop Stand Age and Landuse Duration in the Willamette Valley from Remotely Sensed Data.” In 2013 Seed Production Research, edited by N. Anderson, A. Hulting, D. Walenta, and M. Flowers, 49–53. Corvallis, OR: Oregon State Univ. Extension and USDA-ARS, Ext/CrS 150. Accessed 12 May 2015. http://cropandsoil.oregonstate.edu/content/2013-seed-production-research-report)
   Google Scholar
• Mueller-Warrant, G. W., S. M. Griffith, G. W. Whittaker, G. M. Banowetz, W. F. Pfender, T. S. Garcia, and G. Giannico. 2012. “Impact of Landuse Patterns and Agricultural Practices on Water Quality in the Calapooia River Basin of Western Oregon.” Journal of Soil and Water Conservation 67 (3): 183–201. doi:10.2489/jswc.67.3.183.
   Web of Science ®Google Scholar
• Mueller-Warrant, G. W., M. E. Mellbye, and S. Aldrich-Markham. 1991. “Pronamide Improves Weed Control in New Grass Plantings Protected by Activated Charcoal.” Journal Applied Seed Products 9: 16–26.
   Google Scholar
• Mueller-Warrant, G. W., and S. C. Rosato. 2002a. “Weed Control for Stand Duration Perennial Ryegrass Seed Production: I Residue Removed.” Agronomy Journal 94: 1181–1191. doi:10.2134/agronj2002.1181.
   Web of Science ®Google Scholar
• Mueller-Warrant, G. W., and S. C. Rosato. 2002b. “Weed Control for Stand Duration Perennial Ryegrass Seed Production: II Residue Retained.” Agronomy Journal 94: 1192–1203. doi:10.2134/agronj2002.1192.
   Web of Science ®Google Scholar
• Mueller-Warrant, G. W., and S. C. Rosato. 2005. “Weed Control for Tall Fescue Seed Production and Stand Duration without Burning.” Crop Science 45: 2614–2628. doi:10.2135/cropsci2003.0375.
   Web of Science ®Google Scholar
• Mueller-Warrant, G. W., G. W. Whittaker, G. M. Banowetz, S. M. Griffith, and B. L. Barnhart. 2015. “Methods for Improving Accuracy and Extending Results beyond Periods Covered by Traditional Ground-Truth in Remote Sensing Classification of a Complex Landscape.” International Journal of Applied Earth Observation and Geoinformation 38: 115–128. doi:10.1016/j.jag.2015.01.001.
   Web of Science ®Google Scholar
• Mueller-Warrant, G. W., G. W. Whittaker, S. M. Griffith, G. M. Banowetz, B. D. Dugger, T. S. Garcia, G. Giannico, K. L. Boyer, and B. C. McComb. 2011. “Remote Sensing Classification of Grass Seed Cropping Practices in Western Oregon.” International Journal of Remote Sensing 32 (9): 2451–2480. doi:10.1080/01431161003698351.
   Web of Science ®Google Scholar
• Mueller-Warrant, G. W., G. W. Whittaker, and W. C. Young III. 2008. “GIS Analysis of Spatial Clustering and Temporal Change in Weeds of Grass Seed Crops.” Weed Science 56: 647–669. doi:10.1614/WS-07-032.1.
   Web of Science ®Google Scholar
• Nelson, D. 2005. High Yield Grass Seed Production and Water Quality Protection Handbook. Accessed 13 January 2009. http://forages.oregonstate.edu/organizations/seed/osc/brochures/water-quality/index.html
   Google Scholar
• Nelson, M. A., S. M. Griffith, and J. J. Steiner. 2006. “Tillage Effects on Nitrogen Dynamics and Grass Seed Crop Production in Western Oregon, USA.” Soil Science Society of America Journal 70 (3): 825–831. doi:10.2136/sssaj2005.0248.
   Web of Science ®Google Scholar
• Patekar, P. R., and R. R. Patil. 2014. “Land Use-Land Cover Change Detection Using Remote Sensing and GIS Techniques; Solapur District of Maharashtra, India.” International Journal of Advance Remote Sensing and GIS 3 (1): 499–505.
   Google Scholar
• Patekar, P. R., and P. L. Unhale. 2013. “Remote Sensing and GIS Application in Change Detection Study Using Multi Temporal Satellite.” International Journal of Advance Remote Sensing and GIS 2 (1): 374–378.
   Google Scholar
• Rutchey, K., and L. Velcheck. 1994. “Development of an Everglades Vegetation Map Using a SPOT Image the Global Positioning System.” Photogrammetric Engineering and Remote Sensing 60: 767–775.
   Web of Science ®Google Scholar
• Sahajpal, R., X. Zhang, R. C. Izaurralde, I. Gelfand, and G. C. Hurtt. 2014. “Identifying Representative Crop Rotation Patterns and Grassland Loss in the US Western Corn Belt.” Computers and Electronics in Agriculture 108: 173–182. doi:10.1016/j.compag.2014.08.005.
   Web of Science ®Google Scholar
• San Miguel-Ayanz, J., and G. S. Biging. 1996. “An Iterative Classification Approach for Mapping Natural Resources from Satellite Imagery.” International Journal of Remote Sensing 17: 957–981. doi:10.1080/01431169608949058.
   Web of Science ®Google Scholar
• San Miguel-Ayanz, J., and G. S. Biging. 1997. “Comparison of Single-Stage and Multi-Stage Classification Approaches for Cover Type Mapping with TM and SPOT Data.” Remote Sensing of Environment 59: 92–104. doi:10.1016/S0034-4257(96)00109-5.
   Web of Science ®Google Scholar
• Steiner, J. J., G. R. Giannico, S. M. Griffith, M. E. Mellbye, J. L. Li, K. S. Boyer, S. H. Schoenholtz, G. W. Whittaker, G. W. Mueller-Warrant, and G. M. Banowetz. 2004. “Grass Seed Fields, Seasonal Winter Drainages, and Native Fish Habitat in the South Willamette Valley.” In 2003 Seed Production Research, edited by W. C. Young III, 55–56. Corvallis, OR: Oregon State Univ. Extension and USDA-ARS, Ext/CrS 123.
   Google Scholar
• Steiner, J. J., S. M. Griffith, G. W. Mueller-Warrant, G. W. Whittaker, G. M. Banowetz, and L. F. Elliott. 2006. “Conservation Practices in Western Oregon Perennial Grass Seed Systems. I: Impacts of Direct Seeding and Maximal Residue Management on Production.” Agronomy Journal 98: 177–186. doi:10.2134/agronj2005.0003.
   Web of Science ®Google Scholar
• Stern, A. J., P. C. Doraiswamy, and E. R. Hunt Jr. 2012. “Changes in Crop Rotation in Iowa Determined from the Unites States Department of Agriculture, National Agricultural Statistics Service Cropland Data Layer Product.” Journal of Applied Remote Sensing 3 (1): 1–16.
   Google Scholar
• Wentz, D. A., B. A. Bonn, K. D. Carpenter, S. R. Hinkle, M. L. Janet, F. S. Rinella, M. A. Uhrich, I. R. Waite, A. Laenen, and K. E. Bencala. 1998. “Water Quality in the Willamette Basin, Oregon, 1991-95.” In U.S. Geological Survey Circular 1161. Washington, DC: U.S. Geological Survey, U.S. Department of the Interior. ISBN 0607892315 (pbk.). https://pubs.er.usgs.gov/publication/cir1161
   Google Scholar
• Whittaker, G., R. Confesor, S. M. Griffith, R. Färe, S. Grosskopf, J. J. Steiner, G. W. Mueller-Warrant, and G. M. Banowetz. 2009. “A Hybrid Genetic Algorithm for Multiobjective Problems with Activity Analysis-Based Local Search.” European Journal of Operational Research 193: 195–203. doi:10.1016/j.ejor.2007.10.050.
   Web of Science ®Google Scholar
• Whittaker, G. W., R. Confesor, M. D. DiLuzio, and J. G. Arnold. 2010. “Detection of Overparameterization and Overfitting in an Automatic Calibration of SWAT.” Transactions of the ASABE 53: 1487–1499. doi:10.13031/2013.34909.
   Web of Science ®Google Scholar
• Xiuwan, C. 2002. “Using Remote Sensing and GIS to Analyse Land Cover Change and Its Impacts on Regional Sustainable Development.” International Journal of Remote Sensing 23 (1): 107–124. doi:10.1080/01431160010007051.
   Web of Science ®Google Scholar
• Yang, X. 2002. “Satellite Monitoring of Urban Spatial Growth in the Atlanta Metropolitan Area.” Photogrammetric Engineering and Remote Sensing 68 (7): 725–734.
   Web of Science ®Google Scholar
• Young III, W. C. 2006. Extension Estimates for Oregon Forage and Turf Grass Seed Crop Acreage, 2005. Accessed 17 March 2015. http://cropandsoil.oregonstate.edu/system/files/u1473/05ftprod.pdf
   Google Scholar
• Young III, W. C. 2007. Extension Estimates for Oregon Forage and Turf Grass Seed Crop Acreage, 2006. Accessed 17 March 2015. http://cropandsoil.oregonstate.edu/system/files/u1473/06ftprod.pdf
   Google Scholar
• Young III, W. C. 2008. Extension Estimates for Oregon Forage and Turf Grass Seed Crop Acreage, 2007. Accessed 17 March 2015. http://cropandsoil.oregonstate.edu/system/files/u1473/07WEBA2.pdf
   Google Scholar
• Young III, W. C. 2009. Extension Estimates for Oregon Forage and Turf Grass Seed Crop Acreage, 2008. Accessed 17 March 2015. http://cropandsoil.oregonstate.edu/system/files/u1473/08WEBA2.pdf
   Google Scholar
• Young III, W. C. 2010. Extension Estimates for Oregon Forage and Turf Grass Seed Crop Acreage, 2009. Accessed 17 March 2015. http://cropandsoil.oregonstate.edu/system/files/u1473/09WEBA2.pdf
   Google Scholar
• Young III, W. C. 2011. Extension Estimates for Oregon Forage and Turf Grass Seed Crop Acreage, 2010. Accessed 17 March 2015. http://cropandsoil.oregonstate.edu/system/files/u1473/10WEBA2.pdf
   Google Scholar
• Young III, W. C. 2012. Extension Estimates for Oregon Forage and Turf Grass Seed Crop Acreage, 2011. Accessed 17 March 2015. http://cropandsoil.oregonstate.edu/system/files/u1473/11weba2.pdf
   Google Scholar
• Yuan, F., K. E. Sawaya, B. C. Loeffelholz, and M. E. Bauer. 2005. “Land Cover Classification and Change Analysis of the Twin Cities (Minnesota) Metropolitan Area by Multitemporal Landsat Remote Sensing.” Remote Sensing of Environment 98: 317–328. doi:10.1016/j.rse.2005.08.006.
   Web of Science ®Google Scholar