Characterizing changes in cropping patterns using sequential Landsat imagery: an adaptive threshold approach and application to Phoenix, Arizona

International Journal of Remote Sensing

Volumn 35, Issue 20, 2014, Pages 7263-7278

  Fan, Chao ^a   Zheng, Baojuan ^a   Myint, Soe W ^a   Aggarwal, Rimjhim ^a  

^a ARIZONA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIODIVERSITY; BIOGEOCHEMISTRY; CROPS; IRRIGATION; LAND USE; NATURAL RESOURCES MANAGEMENT; URBAN GROWTH; WATER QUALITY; WATER SUPPLY;

ADAPTIVE THRESHOLD ALGORITHM; ADAPTIVE THRESHOLD METHOD; AGRICULTURAL INTENSIFICATION; AGRICULTURAL PRODUCTIONS; BIOGEOCHEMICAL CYCLE; IRRIGATION WATER USE; NATURAL RESOURCE MANAGEMENT; SPATIOTEMPORAL PATTERNS;

POPULATION STATISTICS;

AGRICULTURAL INTENSIFICATION; AGRICULTURAL PRODUCTION; ALGORITHM; DOUBLE CROPPING; LANDSAT; POPULATION GROWTH; REMOTE SENSING; TIME SERIES; URBANIZATION;

ARIZONA; PHOENIX; UNITED STATES;

EID: 84908441423     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2014.967891     Document Type: Article

References (38)

1. ADWR. 2013. “Phoenix AMA Cultural Water Demand.” Accessed August 28. http://www.azwater.gov/AzDWR/StatewidePlanning/WaterAtlas/ActiveManagementAreas/Cultural/PhoenixAMA.htm
2. Agrawal, S., P. K. Joshi, Y. Shukla, and P. S. Roy. 2003. “SPOT VEGETATION Multi Temporal Data for Classifying Vegetation in South.” Current Science 84: 11.
3. Arvor, D., M. Jonathan, M. S. P. Meirelles, V. Dubreuil, and L. Durieux. 2011. “Classification of MODIS EVI Time Series for Crop Mapping in the State of Mato Grosso, Brazil.” International Journal of Remote Sensing 32 (22): 7847–7871.
4. Aschbacher, J., A. Pongscrihabulchai, S. Karnchanasutham, C. Rodprom, D. Paudyal, and T. Le Toan. 1995. “Assessment of ERS-1 SAR Data for Rice Crop Mapping and Monitoring.” Proceedings of the 1995 International Geoscience and Remote Sensing Symposium 3: 2183–2185.
5. Benedetti, R., and P. Rossini. 1993. “On the Use of NDVI Profiles as a Tool for Agricultural Statistics: The Case Study of Wheat Yield Estimate and Forecast in Emilia Romagna.” Remote Sensing of Environment 45 (3): 311–326. doi:10.1016/0034-4257(93)90113-C.
6. Biggs, T. W., P. S. Thenkabail, M. K. Gumma, C. A. Scott, G. R. Parthasaradhi, and H. N. Turral. 2006. “Irrigated Area Mapping in Heterogeneous Landscapes with MODIS Time Series, Ground Truth and Census Data, Krishna Basin, India.” International Journal of Remote Sensing 27 (19): 4245–4266. doi:10.1080/01431160600851801.
7. Biradar, C. M., and X. Xiao. 2011. “Quantifying the Area and Spatial Distribution of Double-And Triple-Cropping Croplands in India with Multi-Temporal MODIS Imagery in 2005.” International Journal of Remote Sensing 32 (2): 367–386. doi:10.1080/01431160903464179.
8. Bradley, B. A., R. W. Jacob, J. F. Hermance, and J. F. Mustard. 2007. “A Curve Fitting Procedure to Derive Inter-Annual Phenologies from Time Series of Noisy Satellite NDVI Data.” Remote Sensing of Environment 106 (2): 137–145.
9. Brisco, B., R. J. Brown, T. Hirose, H. McNairn, and K. Staenz. 1998. “Precision Agriculture and the Role of Remote Sensing: A Review.” Canadian Journal of Remote Sensing 24 (3): 315–327. doi:10.1080/07038992.1998.10855254.
10. Buyantuyev, A., W. Jianguo, and C. Gries. 2010. “Multiscale Analysis of the Urbanization Pattern of the Phoenix Metropolitan Landscape of USA: Time, Space and Thematic Resolution.” Landscape and Urban Planning 94 (3): 206–217. doi:10.1016/j.landurbplan.2009.10.005.
11. Chen, C. F., N. T. Son, and L. Y. Chang. 2012. “Monitoring of Rice Cropping Intensity in the Upper Mekong Delta, Vietnam Using Time-Series MODIS Data.” Advances in Space Research 49 (2): 292–301. doi:10.1016/j.asr.2011.09.011.
12. Definiens AG. 2009. Definiens eCognition Developer 8 User Guide. Munchen: Definiens AG.
13. Frolking, S., J. B. Yeluripati, and E. Douglas. 2006. “New District-Level Maps of Rice Cropping in India: A Foundation for Scientific Input into Policy Assessment.” Field Crops Research 98 (2): 164–177. doi:10.1016/j.fcr.2006.01.004.
14. Galford, G. L., J. F. Mustard, J. Melillo, A. Gendrin, C. C. Cerri, and C. E. P. Cerri. 2008. “Wavelet Analysis of MODIS Time Series to Detect Expansion and Intensification of Row-Crop Agriculture in Brazil.” Remote Sensing of Environment 112 (2): 576–587. doi:10.1016/j.rse.2007.05.017.
15. Gao, F., J. Masek, M. Schwaller, and F. Hall. 2006. “On the Blending of the Landsat and MODIS Surface Reflectance: Predicting Daily Landsat Surface Reflectance.” IEEE Transactions on Geoscience and Remote Sensing 44 (8): 2207–2218. doi:10.1109/TGRS.2006.872081.
16. Hay, A. M. 1979. “Sampling Designs to Test Land-Use Map Accuracy.” Photogrammetric Engineering and Remote Sensing 45 (4): 529–533.
17. Jain, M., P. Mondal, R. S. DeFries, C. Small, and G. L. Galford. 2013. “Mapping Cropping Intensity of Smallholder Farms: A Comparison of Methods Using Multiple Sensors.” Remote Sensing of Environment 134: 210–223. doi:10.1016/j.rse.2013.02.029.
18. Jianguo, W., G. Darrel Jenerette, A. Buyantuyev, and C. L. Redman. 2011. “Quantifying Spatiotemporal Patterns of Urbanization: The Case of the Two Fastest Growing Metropolitan Regions in the United States.” Ecological Complexity 8 (1): 1–8. doi:10.1016/j.ecocom.2010.03.002.
19. Keys, E., E. A. Wentz, and C. L. Redman. 2007. “The Spatial Structure of Land Use from 1970–2000 in the Phoenix, Arizona, Metropolitan Area.” The Professional Geographer 59 (1): 131–147. doi:10.1111/j.1467-9272.2007.00596.x.
20. Lunetta, R. S., Y. Shao, J. Ediriwickrema, and J. G. Lyon. 2010. “Monitoring Agricultural Cropping Patterns across the Laurentian Great Lakes Basin Using MODIS-NDVI Data.” International Journal of Applied Earth Observation and Geoinformation 12 (2): 81–88. doi:10.1016/j.jag.2009.11.005.
21. Masek, J. G., E. F. Vermote, N. E. Saleous, R. Wolfe, F. G. Hall, K. F. Huemmrich, F. Gao, J. Kutler, and T.-K. Lim. 2006. “A Landsat Surface Reflectance Dataset for North America, 1990-2000.” Geoscience and Remote Sensing Letters, IEEE 3 (1): 68–72. doi:10.1109/LGRS.2005.857030.
22. Matson, P. A., W. J. Parton, A. G. Power, and M. J. Swift. 1997. “Agricultural Intensification and Ecosystem Properties.” Science 277 (5325): 504–509. doi:10.1126/science.277.5325.504.
23. Peng, Z., P. W. Tse, and F. Chu. 2005. “A Comparison Study of Improved Hilbert-Huang Transform and Wavelet Transform: Application to Fault Diagnosis for Rolling Bearing.” Mechanical Systems and Signal Processing 19 (5): 974–988.
24. Putnam, D. H., W. Matthews, and D. A. Sumner. 2014. “Hay Exports from Western States Have Increased Dramatically.” Accessed April 4. http://ucanr.edu/blogs/blogcore/postdetail.cfm?postnum=11947
25. Qiu, B., M. Zhong, Z. Tang, and C. Wang. 2014. “A New Methodology to Map Double-Cropping Croplands Based on Continuous Wavelet Transform.” International Journal of Applied Earth Observation and Geoinformation 26: 97–104. doi:10.1016/j.jag.2013.05.016.
26. Quarmby, N. A., J. R. G. Townshend, J. J. Settle, K. H. White, M. Milnes, T. L. Hindle, and N. Silleos. 1992. “Linear Mixture Modelling Applied to AVHRR Data for Crop Area Estimation.” International Journal of Remote Sensing 13 (3): 415–425. doi:10.1080/01431169208904046.
27. Sakamoto, T., M. Yokozawa, H. Toritani, M. Shibayama, N. Ishitsuka, and H. Ohno. 2005. “A Crop Phenology Detection Method Using Time-Series MODIS Data.” Remote Sensing of Environment 96 (3): 366–374. doi:10.1016/j.rse.2005.03.008.
28. Singh, A., R. Dutta, A. Stein, and R. M. Bhagat. 2012. “A Wavelet-Based Approach for Monitoring Plantation Crop (Tea: Camellia sinensis) in North East India.” International Journal of Remote Sensing 33 (16): 4982–5008.
29. Thenkabail, P. S., C. M. Biradar, P. Noojipady, V. Dheeravath, L. Yuanjie, M. Velpuri, M. Gumma, O. R. P. Gangalakunta, H. Turral, and X. Cai. 2009. “Global Irrigated Area Map (GIAM), Derived from Remote Sensing, for the End of the Last Millennium.” International Journal of Remote Sensing 30 (14): 3679–3733. doi:10.1080/01431160802698919.
30. Thenkabail, P. S., M. Schull, and H. Turral. 2005. “Ganges and Indus River Basin Land Use/Land Cover (LULC) and Irrigated Area Mapping Using Continuous Streams of MODIS Data.” Remote Sensing of Environment 95 (3): 317–341. doi:10.1016/j.rse.2004.12.018.
31. United Nation. 2013. World Population Prospects: The 2012 Revision. New York: Department of Economic and Social Affairs, Population Division.
32. USDA-NASS. 2013. “Cropland Data Layer Metadata.” Accessed September 17. http://www.nass.usda.gov/research/Cropland/metadata/meta.htm
33. Velpuri, N. M., P. S. Thenkabail, M. K. Gumma, C. Biradar, V. Dheeravath, P. Noojipady, and L. Yuanjie. 2009. “Influence of Resolution in Irrigated Area Mapping and Area Estimation.” Photogrammetric Engineering & Remote Sensing 75 (12): 1383–1395. doi:10.14358/PERS.75.12.1383.
34. Wardlow, B. D., and S. L. Egbert. 2008. “Large-Area Crop Mapping Using Time-Series MODIS 250 m NDVI Data: An Assessment for the US Central Great Plains.” Remote Sensing of Environment 112 (3): 1096–1116.
35. 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 US Central Great Plains.” Remote Sensing of Environment 108 (3): 290–310. doi:10.1016/j.rse.2006.11.021.
36. Xiao, X., S. Boles, J. Liu, D. Zhuang, S. Frolking, L. Changsheng, W. Salas, and I. I. I. Berrien Moore. 2005. “Mapping Paddy Rice Agriculture in Southern China Using Multi-Temporal MODIS Images.” Remote Sensing of Environment 95 (4): 480–492. doi:10.1016/j.rse.2004.12.009.
37. Zheng, B., J. B. Campbell, Y. Shao, and R. H. Wynne. 2013. “Broad-Scale Monitoring of Tillage Practices Using Sequential Landsat Imagery.” Soil Science Society of America Journal 77 (5): 1755–1764. doi:10.2136/sssaj2013.03.0108.
38. Zheng, B., S. W. Myint, P. S. Thenkabail, and R. Aggarwal. 2015. “A Support Vector Machine Method to Identify Irrigated Crop Types Using Time-Series Landsat NDVI Data.” International Journal of Applied Earth Observation and Geoinformation 34: 103–112. doi:10.1016/j.jag.2014.07.002.