The effect of corn-soybean rotation on the NDVI-based drought indicators: A case study in Iowa, USA, using vegetation condition index

GIScience and Remote Sensing

Volumn 52, Issue 3, 2015, Pages 290-314

  Yagci, Ali Levent ^a   Di, Liping ^a   Deng, Meixia ^a  

^a GEORGE MASON UNIVERSITY   (United States)

Author keywords

agricultural drought; crop rotation; NDVI; standardized precipitation index; Vegetation Condition Index

Indexed keywords

CROP ROTATION; DROUGHT; LAND COVER; MAIZE; NDVI; PRECIPITATION ASSESSMENT; REMOTE SENSING; SATELLITE IMAGERY; SOYBEAN;

IOWA; UNITED STATES;

GLYCINE MAX; ZEA MAYS;

EID: 84929145855     PISSN: 15481603     EISSN: None     Source Type: Journal    
DOI: 10.1080/15481603.2015.1038427     Document Type: Article

References (57)

1. Anyamba, A., C. J. Tucker, and, J. R. Eastman. 2001. " NDVI Anomaly Patterns over Africa during the 1997/98 ENSO Warm Event." International Journal of Remote Sensing 22 (10): 1847-1859. doi: 10.1080/01431160010029156.
2. Bhuiyan, C., R. Singh, and, F. Kogan. 2006. " Monitoring Drought Dynamics in the Aravalli Region (India) Using Different Indices Based on Ground and Remote Sensing Data." International Journal of Applied Earth Observation and Geoinformation 8 (4): 289-302. doi: 10.1016/j.jag.2006.03.002.
3. Black, A., and, H. Stephen. 2014. " Relating Temperature Trends to the Normalized Difference Vegetation Index in Las Vegas." GIScience & Remote Sensing 51 (4): 468-482. doi: 10.1080/15481603.2014.940695.
4. Boryan, C., Z. Yang, R. Mueller, and, M. Craig. 2011. " Monitoring US Agriculture: The US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program." Geocarto International 26 (5): 341-358. doi: 10.1080/10106049.2011.562309.
5. Brown, J. F., B. D. Wardlow, T. Tadesse, M. J. Hayes, and, B. C. Reed. 2008. " The Vegetation Drought Response Index (VegDRI): A New Integrated Approach for Monitoring Drought Stress in Vegetation." GIScience & Remote Sensing 45 (1): 16-46. doi: 10.2747/1548-1603.45.1.16.
6. Deng, M., L. Di, Y. Genong, A. Yagci, C. Peng, B. Zhang, and, D. Shen. 2012. " Building an on-Demand Web Service System for Global Agricultural Drought Monitoring and Forecasting." In 2012 IEEE International Geoscience and Remote Sensing Symposium, 958-961. Munich, Germany: IEEE. doi: 10.1109/IGARSS.2012.6351392.
7. Deng, M., L. Di, W. Han, A. L. Yagci, C. Peng, and, G. Heo. 2013. " Web-Service-Based Monitoring and Analysis of Global Agricultural Drought." Photogrammetric Engineering & Remote Sensing 79 (10): 929-943. doi: 10.14358/PERS.79.10.929.
8. Deng, M., A. L. Yagci, and, L. Di. 2014. " On Crop Rotation in Calculating NDVI-Based Agricultural Drought Indicators." In 2014 IEEE Geoscience and Remote Sensing Symposium, 5083-5086. Quebec City, QC: IEEE. doi: 10.1109/IGARSS.2014.6947640.
9. Di, J., 2013. " The Satellite Assessment of Impact of the 2012 Great Drought on Corn Growth in the U.S. Corn Belt." In 2013 Second International Conference on Agro-geoinformatics, 48-51. Fairfax, VA: IEEE. doi: 10.1109/Argo-Geoinformatics.2013.6621877.
10. Di, L., D. C. Rundquist, and, L. Han. 1994. " Modelling Relationships between NDVI and Precipitation during Vegetative Growth Cycles." International Journal of Remote Sensing 15 (10): 2121-2136. doi: 10.1080/01431169408954231.
11. Gitelson, A. A., F. Kogan, E. Zakarin, L. Spivak, and, L. Lebed. 1998. " Using AVHRR Data for Quantitative Estimation of Vegetation Conditions: Calibration and Validation." Advances in Space Research 22 (5): 673-676. doi: 10.1016/S0273-1177(97)01129-0.
12. Goward, S. N., and, S. D. Prince. 1995. " Transient Effects of Climate on Vegetation Dynamics: Satellite Observations." Journal of Biogeography 22 (2/3): 549-564. doi: 10.2307/2845953.
13. Gu, Y., J. F. Brown, J. P. Verdin, and, B. Wardlow. 2007. " A Five-Year Analysis of MODIS NDVI and NDWI for Grassland Drought Assessment over the Central Great Plains of the United States." Geophysical Research Letters 34 (6): 1-6. doi: 10.1029/2006GL029127.
14. Hayes, M., M. Svoboda, N. Wall, and, M. Widhalm. 2011. " The Lincoln Declaration on Drought Indices: Universal Meteorological Drought Index Recommended." Bulletin of the American Meteorological Society 92 (4): 485-488. doi: 10.1175/2010BAMS3103.1.
15. Heim, R. R., and, M. J. Brewer. 2012. " The Global Drought Monitor Portal: The Foundation for a Global Drought Information System." Earth Interactions 16 (15): 1-28. doi: 10.1175/2012EI000446.1.
16. Huete, A., K. Didan, T. Miura, E. P. Rodriguez, X. Gao, and, L. G. Ferreira. 2002. " Overview of the Radiometric and Biophysical Performance of the MODIS Vegetation Indices." Remote Sensing of Environment 83 (1-2): 195-213. doi: 10.1016/S0034-4257(02)00096-2.
17. Jain, S. K., R. Keshri, A. Goswami, A. Sarkar, and, A. Chaudhry. 2009. " Identification of Drought Vulnerable Areas Using NOAA AVHRR Data." International Journal of Remote Sensing 30 (10): 2653-2668. doi: 10.1080/01431160802555788.
18. Jain, S. K., R. Keshri, A. Goswami, and, A. Sarkar. 2010. " Application of Meteorological and Vegetation Indices for Evaluation of Drought Impact: A Case Study for Rajasthan, India." Natural Hazards 54 (3): 643-656. doi: 10.1007/s11069-009-9493-x.
19. Jarlan, L., Y. M. Tourre, E. Mougin, N. Philippon, and, P. Mazzega. 2005. " Dominant Patterns of AVHRR NDVI Interannual Variability over the Sahel and Linkages with Key Climate Signals (1982-2003)." Geophysical Research Letters 32 (4): L04701. doi: 10.1029/2004GL021841.
20. Ji, L., and, A. J. Peters. 2003. " Assessing Vegetation Response to Drought in the Northern Great Plains Using Vegetation and Drought Indices." Remote Sensing of Environment 87 (1): 85-98. doi: 10.1016/S0034-4257(03)00174-3.
21. Johnson, D. M. 2014. " An Assessment of Pre- and within-Season Remotely Sensed Variables for Forecasting Corn and Soybean Yields in the United States." Remote Sensing of Environment 141 (February): 116-128. doi: 10.1016/j.rse.2013.10.027.
22. Johnson, D. M., and, R. Mueller. 2010. " The 2009 Cropland Data Layer." Photogrammetric Engineering and Remote Sensing 76 (11): 1201-1205.
23. Jong, R. D., S. De Bruin, A. De Wit, M. E. Schaepman, and, D. L. Dent. 2011. " Analysis of Monotonic Greening and Browning Trends from Global NDVI Time-Series." Remote Sensing of Environment 115 (2): 692-702. doi: 10.1016/j.rse.2010.10.011.
24. Kogan, F. 1995a. " Application of Vegetation Index and Brightness Temperature for Drought Detection." Advances in Space Research 15 (11): 91-100. doi: 10.1016/0273-1177(95)00079-T.
25. Kogan, F. 1995b. " Droughts of the Late 1980s in the United States as Derived from NOAA Polar-Orbiting Satellite Data." Bulletin of the American Meteorological Society 76 (5): 655-668. doi: 10.1175/1520-0477(1995)076<0655:DOTLIT>2.0.CO;2.
26. Kogan, F. 2001. " Operational Space Technology for Global Vegetation Assessment." Bulletin of the American Meteorological Society 82 (9): 1949-1964. doi: 10.1175/1520-0477(2001)082<1949:OSTFGV>2.3.CO;2.
27. Kogan, F. 2002. " World Droughts in the New Millennium from AVHRR-Based Vegetation Health Indices." Eos, Transactions American Geophysical Union 83 (48): 557-563. doi: 10.1029/2002EO000382.
28. Kogan, F., and, J. Sullivan. 1993. " Development of Global Drought-Watch System Using NOAA/AVHRR Data." Advances in Space Research 13 (5): 219-222. doi: 10.1016/0273-1177(93)90548-P.
29. Kogan, F., B. Yang, G. Wei, P. Zhiyuan, and, J. Xianfeng. 2005. " Modelling Corn Production in China Using AVHRR Based Vegetation Health Indices." International Journal of Remote Sensing 26 (11): 2325-2336. doi: 10.1080/01431160500034235.
30. Lambert, J., C. Drenou, J.-P. Denux, G. Balent, and, V. Cheret. 2013. " Monitoring Forest Decline through Remote Sensing Time Series Analysis." GIScience & Remote Sensing 50 (4): 437-457. doi: 10.1080/15481603.2013.820070.
31. Lawrimore, J., R. R. Heim, M. Svoboda, V. Swail, and, P. J. Englehart. 2002. " Beginning a New Era of Drought Monitoring Across North America." Bulletin of the American Meteorological Society 83 (8): 1191-1192. doi: 10.1175/1520-0477(2002)083<1191:BANEOD>2.3.CO;2.
32. Liu, W. T., and, F. Kogan. 1996. " Monitoring Regional Drought Using the Vegetation Condition Index." International Journal of Remote Sensing 17 (14): 2761-2782. doi: 10.1080/01431169608949106.
33. Malo, A. R., and, S. E. Nicholson. 1990. " A Study of Rainfall and Vegetation Dynamics in the African Sahel Using Normalized Difference Vegetation Index." Journal of Arid Environments 19 (1): 1-24.
34. McKee, T. B., N. J. Doesken, and, J. Kleist. 1993. " The Relationship of Drought Frequency and Duration to Time Scales." In Proceedings of the 8th Conference on Applied Climatology, 179-184. Anaheim, CA: American Meteorological Society.
35. McKee, T. B., N. J. Doesken, and, J. Kleist. 1995. " Drought Monitoring with Multiple Time Scales." In Proceedings of the 9th Conference on Applied Climatology, 233-236. Dallas, TX: American Meteorological Society.
36. Meng, Q., W. H. Cooke, and, J. Rodgers. 2013. " Derivation of 16-Day Time-Series NDVI Data for Environmental Studies Using a Data Assimilation Approach." GIScience & Remote Sensing 50 (5): 500-514. doi: 10.1080/15481603.2013.823733.
37. 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.
38. Peters, A. J., E. A. Walter-Shea, L. Ji, A. Vina, M. J. Hayes, and, M. D. Svoboda. 2002. " Drought Monitoring with NDVI-Based Standardized Vegetation Index." Photogrammetric Engineering and Remote Sensing 68 (1): 71-75.
39. Quiring, S. M., and, S. Ganesh. 2010. " Evaluating the Utility of the Vegetation Condition Index (VCI) for Monitoring Meteorological Drought in Texas." Agricultural and Forest Meteorology 150 (3): 330-339. doi: 10.1016/j.agrformet.2009.11.015.
40. Reed, B. C., J. F. Brown, D. VanderZee, T. R. Loveland, J. W. Merchant, and, D. O. Ohlen. 1994. " Measuring Phenological Variability from Satellite Imagery." Journal of Vegetation Science 5 (5): 703-714. doi: 10.2307/3235884.
41. Rhee, J., J. Im, and, G. J. Carbone. 2010. " Monitoring Agricultural Drought for Arid and Humid Regions Using Multi-Sensor Remote Sensing Data." Remote Sensing of Environment 114 (12): 2875-2887. doi: 10.1016/j.rse.2010.07.005.
42. Rojas, O., A. Vrieling, and, F. Rembold. 2011. " Assessing Drought Probability for Agricultural Areas in Africa with Coarse Resolution Remote Sensing Imagery." Remote Sensing of Environment 115 (2): 343-352. doi: 10.1016/j.rse.2010.09.006.
43. Rouse, J. W., R. H. Haas, J. A. Schell, and, D. W. Deering. 1973. " Monitoring Vegetation Systems in the Great Plains with ERTS." In Proceedings of the Third ERTS Symposium, 309-317. Washington, DC: NASA.
44. Solano, R., K. Didan, A. Jacobson, and, A. Huete. 2010. MODIS Vegetation Index (MOD13) C5 Users Guide Version 2. Accessed April 17, 2014. http://vip.arizona.edu/documents/MODIS/MODIS-VI-UsersGuide-01-2012.pdf
45. 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. doi: 10.1175/1520-0477(2002)083<1181:TDM>2.3.CO;2.
46. Swain, S., B. D. Wardlow, S. Narumalani, T. Tadesse, and, K. Callahan. 2011. " Assessment of Vegetation Response to Drought in Nebraska Using Terra-MODIS Land Surface Temperature and Normalized Difference Vegetation Index." GIScience & Remote Sensing 48 (3): 432-455. doi: 10.2747/1548-1603.48.3.432.
47. Tucker, C. J. 1979. " Red and Photographic Infrared Linear Combinations for Monitoring Vegetation." Remote Sensing of Environment 8 (2): 127-150. doi: 10.1016/0034-4257(79)90013-0.
48. Tucker, C. J., and, B. J. Choudhury. 1987. " Satellite Remote Sensing of Drought Conditions." Remote Sensing of Environment 23 (2): 243-251. doi: 10.1016/0034-4257(87)90040-X.
49. US Department of Agriculture-National Agricultural Statistics Service. 2010. Usual Planting and Harvesting Dates for U.S. Field Crops. Washington, DC: USDA NASS.
50. US Department of Agriculture-National Agricultural Statistics Service. 2014. " Quick Stats 2.0. " Accessed May 3. http://quickstats.nass.usda.gov
51. Wan, Z., P. Wang, and, X. Li. 2004. " Using MODIS Land Surface Temperature and Normalized Difference Vegetation Index Products for Monitoring Drought in the Southern Great Plains, USA." International Journal of Remote Sensing 25 (1): 61-72. doi: 10.1080/0143116031000115328.
52. Wilhite, D. 2005. " Drought." In Encyclopedia of World Climatology, 1st ed., edited by J. E. Oliver. Dordrecht: Springer. doi: 10.1007/1-4020-3266-8-70.
53. World Meteorological Organization. 2012. Standardized Precipitation Index User Guide, 1090. Geneva: World Meteorological Organization. http://www.wamis.org/agm/pubs/SPI/WMO-1090-EN.pdf.
54. Xu, L., A. Samanta, M. H. Costa, S. Ganguly, R. R. Nemani, and, R. B. Myneni. 2011. " Widespread Decline in Greenness of Amazonian Vegetation due to the 2010 Drought." Geophysical Research Letters 38 (7): 2-5. doi: 10.1029/2011GL046824.
55. Yagci, A. L., L. Di, and, M. Deng. 2013. " The Effect of Land-Cover Change on Vegetation Greenness-Based Satellite Agricultural Drought Indicators: A Case Study in the Southwest Climate Division of Indiana, USA." International Journal of Remote Sensing 34 (20): 6947-6968. doi: 10.1080/01431161.2013.810824.
56. Yagci, A. L., L. Di, and, M. Deng. 2014. " The Influence of Land Cover-Related Changes on the NDVI-Based Satellite Agricultural Drought Indices." In 2014 IEEE Geoscience and Remote Sensing Symposium, 2054-2057. Quebec City, QC: IEEE. doi: 10.1109/IGARSS.2014.6946868.
57. Zhou, L., J. Zhang, J. Wu, L. Zhao, M. Liu, A. Lü, and, Z. Wu. 2012. " Comparison of Remotely Sensed and Meteorological Data-Derived Drought Indices in Mid-Eastern China." International Journal of Remote Sensing 33 (6): 1755-1779. doi: 10.1080/01431161.2011.600349.