Agricultural drought monitoring using MODIS-based drought indices over the USA Corn Belt

References

• Anderson, M. C., C. Hain, B. Wardlow, A. Pimstein, J. R. Mecikalski, and W. P. Kustas. 2011. “Evaluation of Drought Indices Based on Thermal Remote Sensing of Evapotranspiration over the Continental United States.” Journal of Climate 24 (8): 2025–2044. doi:10.1175/2010JCLI3812.1.
   Web of Science ®Google Scholar
• Anderson, M. C., W. P. Kustas, J. M. Norman, C. R. Hain, J. R. Mecikalski, L. Schultz, M. P. González-Dugo, C. Cammalleri, G. d’Urso, A. Pimstein, and F. Gao. 2011. “Mapping Daily Evapotranspiration at Field to Continental Scales Using Geostationary and Polar Orbiting Satellite Imagery.” Hydrology and Earth System Sciences 15 (1): 223–239. doi:10.5194/hess-15-223-2011.
   Web of Science ®Google Scholar
• Anyamba, A., and C. Tucker. 2012. “Historical Perspectives on AVHRR NDVI and Vegetation Drought Monitoring.” In Remote Sensing of Drought Innovative Monitoring Approaches, edited by B. D. Wardlow, M. C. Andersen, and J. P. Verdin, 23–50. Boca Raton, FL: CRC Press.
   Google Scholar
• Anyamba, A., C. 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.
   Web of Science ®Google Scholar
• 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.
   Web of Science ®Google Scholar
• 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.
   Web of Science ®Google Scholar
• Caccamoa, G., L. A. Chisholma, R. A. Bradstock, and M. L. Puotinena. 2011. “Assessing the Sensitivity of MODIS to Monitor Drought in High Biomass Ecosystems.” Remote Sensing of Environment 115 (10): 2626–2639. doi:10.1016/j.rse.2011.05.018.
   Web of Science ®Google Scholar
• Carlson, T. N., R. R. Gillies, and E. M. Perry. 1994. “A Method to Make Use of Thermal Infrared Temperature and NDVI Measurements to Infer Surface Soil Water Content and Fractional Vegetation Cover.” Remote Sensing Reviews 9: 161–173. doi:10.1080/02757259409532220.
   Google Scholar
• Carlson, T. N., R. R. Gillies, and T. J. Schmugge. 1995. “An Interpretation of Methodologies for Indirect Measurement of Soil Water Content.” Agricultural and Forest Meteorologyy 77: 191–205. doi:10.1016/0168-1923(95)02261-U.
   Web of Science ®Google Scholar
• Ceccato, P., S. Flasse, S. Tarantola, S. Jacquemoud, and J.-M. Gregoire. 2001. “Detecting Vegetation Leaf Water Content Using Reflectance in the Optical Domain.” Remote Sensing of Environment 77 (1): 22–33. doi:10.1016/S0034-4257(01)00191-2.
   Web of Science ®Google Scholar
• Ceccato, P., N. Gobron, S. Flasse, B. Pinty, and S. Tarantola. 2002. “Designing a Spectral Index to Estimate Vegetation Water Content from Remote Sensing Data: Part 1: Theoretical Approach.” Remote Sensing of Environment 82 (2–3): 188–197. doi:10.1016/S0034-4257(02)00037-8.
   Web of Science ®Google Scholar
• Choi, M., J. M. Jacobs, M. C. Anderson, and D. D. Bosch. 2013. “Evaluation of Drought Indices via Remotely Sensed Data with Hydrological Variables.” Journal of Hydrology 476: 265–273. doi:10.1016/j.jhydrol.2012.10.042.
   Web of Science ®Google Scholar
• Fensholt, R., and I. Sandholt. 2003. “Derivation of a Shortwave Infrared Water Stress Index from MODIS Near- and Shortwave Infrared Data in a Semi-Arid Environment.” Remote Sensing of Environment 87 (1): 111–121. doi:10.1016/j.rse.2003.07.002.
   Web of Science ®Google Scholar
• Gao, B.-C. 1996. “NDWI—A Normalized Difference Water Index for Remote Sensing of Vegetation Liquid Water from Space.” Remote Sensing of Environment 58: 257–266. doi:10.1016/S0034-4257(96)00067-3.
   Web of Science ®Google Scholar
• Ghulam, A., Q. Qin, and Z. Zhan. 2007. “Designing of the Perpendicular Drought Index.” Environmental Geology 52 (6): 1045–1052. doi:10.1007/s00254-006-0544-2.
   Web of Science ®Google Scholar
• Gitelson, A. A., Y. Gritz, and M. N. Merzlyak. 2003. “Relationships between Leaf Chlorophyll Content and Spectral Reflectance and Algorithms for Non-Destructive Chlorophyll Assessment in Higher Plant Leaves.” Journal of Plant Physiology 160: 271–282. doi:10.1078/0176-1617-00887.
   PubMed Web of Science ®Google Scholar
• 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): L06407. doi:10.1029/2006gl029127.
   Web of Science ®Google Scholar
• Gu, Y., E. Hunt, B. Wardlow, J. B. Basara, J. F. Brown, and J. P. Verdin. 2008. “Evaluation of MODIS NDVI and NDWI for Vegetation Drought Monitoring Using Oklahoma Mesonet Soil Moisture Data.” Geophysical Research Letters 35: L22401. doi:10.1029/2008GL035772.
   Web of Science ®Google Scholar
• Hardisky, M. A., V. Klemas, and R. M. Smart. 1983. “The Influences of Soil Salinity, Growth Form, and Leaf Moisture on the Spectral Reflectance of Spartinaalterniflora Canopies.” Photogrammetric Engineering & Remote Sensing 49: 77–83.
   Web of Science ®Google Scholar
• Hart, J. F. 1986. “Change in the Corn Belt.” Geographical Review 76: 51–72. doi:10.2307/214784.
   Web of Science ®Google Scholar
• Heim, R. R. 2002. “A Review of Twentieth-Century Drought Index Used in the United States.” Bulletin of the American Meteorological Society 83: 1149–1165. doi:10.1175/1520-0477(2002)083<1149:AROTDI>2.3.CO;2.
   Web of Science ®Google Scholar
• Hunt, E. R., and B. N. Rock. 1989. “Detection of Changes in Leaf Water Content Using near and Middle-Infrared Reflectances.” Remote Sensing of Environment 49: 43–54.
   Google Scholar
• 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: 85–98. doi:10.1016/S0034-4257(03)00174-3.
   Web of Science ®Google Scholar
• Karnieli, A., M. Bayasgalan, Y. Bayarjargal, N. Agam, S. Khudulmur, and C. J. Tucker. 2006. “Comments on the use of the Vegetation Health Index over Mongolia.” International Journal of Remote Sensing 27 (10): 2017–2024. doi:10.1080/01431160500121727.
   Web of Science ®Google Scholar
• Kerr, E. 2012. “Brutal Drought Depresses Agriculture Thwarting U.S. and Texas Economies.” In Southwest Economy, edited by M. Weiss, 10–13. Dallas, TX: Federal Reserve Bank of Dallas.
   Google Scholar
• Kimery, A. 2012. “FEMA – Dealing with the Drought.” Homeland Security Today. Accessed 8 August 2013. http://www.hstoday.us/channels/fema/single-article-page/dealing-with-the-drought.html
   Google Scholar
• Kogan, F., R. Stark, A. Gitelson, L. Jargalsaikhan, C. Dugrajav, and S. Tsooj. 2004. “Derivation of Pasture Biomass in Mongolia from Avhrr-Based Vegetation Health Indices.” International Journal of Remote Sensing 25 (14): 2889–2896. doi:10.1080/01431160410001697619.
   Web of Science ®Google Scholar
• Kogan, F. N. 1995a. “Application of Vegetation Index and Brightness Temperature for Drought Detection.” Advances in Space Research 15: 91–100. doi:10.1016/0273-1177(95)00079-T.
   PubMed Web of Science ®Google Scholar
• Kogan, F. N. 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: 655–668. doi:10.1175/1520-0477(1995)076<0655:DOTLIT>2.0.CO;2.
   Web of Science ®Google Scholar
• Kogan, F. N. 1997. “Global Drought Watch from Space.” Bulletin of the American Meteorological Society 78 (4): 621–636. doi:10.1175/1520-0477(1997)078<0621:GDWFS>2.0.CO;2.
   Web of Science ®Google Scholar
• Marshall, M. T., C. Funk, and J. Michaelsen. 2012. “Agricultural Drought Monitoring in Kenya Using Evapotranspiration Derived from Remote Sensing and Reanalysis Data.” In Remote Sensing of Drought: Innovative Monitoring Approaches, edited by B. D. Wardlow, M. C. Anderson, and J. P. Verdin, 169–196. Boca Raton, FL: CRC Press.
   Google Scholar
• McKee, T. B., N. J. Doesken, and J. Kleist. 1995. Drought Monitoring with Multiple Time Scales. Preprints, 9th Conference on Applied Climatology, Dallas, TX, January 15–20, 233–236.
   Google Scholar
• Moran, M. S., T. R. Clarke, Y. Inoue, and A. Vidal. 1994. “Estimating Crop Water Deficit Using the Relation between Surface-Air Temperature and Spectral Vegetation Index.” Remote Sensing of Environment 49 (3): 246–263. doi:10.1016/0034-4257(94)90020-5.
   Web of Science ®Google Scholar
• Naresh Kumar, M., C. S. Murthy, M. V. R. Sesha Sai, and P. S. Roy. 2009. “On the Use of Standardized Precipitation Index (SPI) for Drought Intensity Assessment.” Meteorological Applications 16 (3): 381–389. doi:10.1002/met.136.
   Web of Science ®Google Scholar
• Nghiem, S. V. 2007. National Drought Monitoring System for Drought Early Warning Using Hydrologic and Ecologic Observations from NASA Satellite Data. Pasadena, CA: Jet Propulsion Laboratory.
   Google Scholar
• 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.
   Web of Science ®Google Scholar
• Palmer, W. C. 1965. Meteorological Drought. U.S. Department of Commerce Weather Bureau Research Paper No. 45, 58p. Washington, DC: U.S. Department of Commerce Weather Bureau.
   Google Scholar
• Patel, N. R., B. R. Parida, V. Venus, S. K. Saha, and V. K. Dadhwal. 2012. “Analysis of Agricultural Drought Using Vegetation Temperature Condition Index (VTCI) from Terra/Modis Satellite Data.” Environmental Monitoring and Assessment 184 (12): 7153–7163. doi:10.1007/s10661-011-2487-7.
   PubMed Web of Science ®Google Scholar
• Prince, S. D. 1990. “High Temporal Frequency Remote Sensing of Primary Production Using NOAA AVHRR.” Applications of Remote Sensing in Agruculture 4: 169–183.
   Google Scholar
• Qin, Q., A. Ghulam, L. Zhu, L. Wang, J. Li, and P. Nan. 2008. “Evaluation of MODIS Derived Perpendicular Drought Index for Estimation of Surface Dryness over Northwestern China.” International Journal of Remote Sensing 29: 1983–1995. doi:10.1080/01431160701355264.
   Web of Science ®Google Scholar
• Quiring, S. M., and T. N. Papakryiakou. 2003. “An Evaluation of Agricultural Drought Indices for the Canadian Prairies.” Agricultural and Forest Meteorology 118 (1–2): 49–62. doi:10.1016/s0168-1923(03)00072-8.
   Web of Science ®Google Scholar
• 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.
   Web of Science ®Google Scholar
• 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.
   Web of Science ®Google Scholar
• Rossi, S., and S. Niemeyer. 2012. “Drought Monitoring Using Fraction of Absorbed Photosynthetically Active Radiation Estimates Derived from MERIS.” In Remote sensing of Drought Innovative Monitoring Approaches, edited by B. Wardlow, M. C. Andersen, and J. P. Verdin, 95–120. Boca Raton, FL: CRC press.
   Google Scholar
• Rouse, J. W., R. H. Hass, J. A. Schell, and D. W. Deering. 1973. Monitoring Vegetation Systems in the Great Plains with ERTS. Paper presented at the the 3rd Earth Resources Technology Satellite-1 symposium, Greenbelt, MD, December 10–14.
   Google Scholar
• Sandholt, I., K. Rasmussen, and J. Andersen. 2002. “A Simple Interpretation of the Surface Temperature/Vegetation Index Space for Assessment of Surface Moisture Status.” Remote Sensing of Environment 79: 213–224. doi:10.1016/S0034-4257(01)00274-7.
   Web of Science ®Google Scholar
• Seiler, R. A., F. Kogan, and J. Sullivan. 1998. “Avhrr-Based Vegetation and Temperature Condition Indices for Drought Detection in Argentina.” Advances in Space Research 21: 481–484. doi:10.1016/S0273-1177(97)00884-3.
   Web of Science ®Google Scholar
• Sheffield, J., and E. F. Wood. 2011. Drought: Past Problems and Future Scenarios. London: Taylor & Francis.
   Google Scholar
• Sun, W., P.-X. Wang, S.-Y. Zhang, D.-H. Zhu, J.-M. Liu, J.-H. Chen, and H.-S. Yang. 2008. “Using the Vegetation Temperature Condition Index for Time Series Drought Occurrence Monitoring in the Guanzhong Plain, PR China.” International Journal of Remote Sensing 29 (17–18): 5133–5144. doi:10.1080/01431160802036557.
   Web of Science ®Google Scholar
• Svoboda, M., D. LeComte, M. Hayes, R. Heim, K. Gleason, and J. Angel. 2002. “The Drought Monitor.” Bulletin of the American Meteorological Society 83: 1181–1190. doi:10.1175/1520-0477(2002)083<1181:TDM>2.3.CO;2.
   Web of Science ®Google Scholar
• 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.
   Web of Science ®Google Scholar
• Thenkabail, P. S., M. S. D. N. Gamage, and V. U. Smakhtin. 2004. “The Use of Remote Sensing Data for Drought Assessment and Monitoring in Southwest Asia.” Research Report 85. Colombo, Sri Lanka: International Water Management Institute.
   Google Scholar
• Townshend, J. R. G., and C. Justice. 2002. “Towards Operational Monitoring of Terrestrial Systems by Moderate-Resolution Remote Sensing.” Remote Sensing of Environment 83: 351–359. doi:10.1016/S0034-4257(02)00082-2.
   Web of Science ®Google Scholar
• Tucker, C. J. 1979. “Red and Photographic Infrared Linear Combinations for Monitoring Vegetation.” Remote Sensing of Environment 8: 127–150. doi:10.1016/0034-4257(79)90013-0.
   Web of Science ®Google Scholar
• Unganai, L. S., and F. N. Kogan. 1998. “Drought Monitoring and Corn Yield Estimation in Southern Africa from AVHRR Data.” Remote Sensing of Environment 63: 219–232. doi:10.1016/S0034-4257(97)00132-6.
   Web of Science ®Google Scholar
• USDA. 2013. Crop Production 2012 Summary. Washington, DC: U.S. Department of Agriculture, National Agricultural Statistics Service.
   Google Scholar
• 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.
   Web of Science ®Google Scholar
• Wang, L., and J. J. Qu. 2007. “NMDI: A Normalized Multi-Band Drought Index for Monitoring Soil and Vegetation Moisture with Satellite Remote Sensing.” Geophysical Research Letters 34: 20. doi:10.1029/2007GL031021.
   Web of Science ®Google Scholar
• Wang, P., X. Li, J. Gong, and C. Song. 2001. Vegetation Temperature Condition Index and Its Application for Drought Monitoring. Paper presented at the 2001 International Geoscience and Remote Sensing Symposium, Sydney, Australia, July 9–14.
   Google Scholar
• Whilhite, D. A. 2009. “Drought Monitoring as a Component of Drought Preparedness Planning.” In Coping with Drought Risk in Agriculture and Water Supply Systems, edited by A. Iglesias, A. Cancelliere, D. A. Wilhite, L. Garrote, and F. Cubillo, 3–19, Springer Science and Business Media B.V.
   Google Scholar
• Wilhelmi, O. V., and D. A. Wilhite. 2002. “Assessing Vulnerability to Agricultural Drought: A Nebraska Case.” Natural Hazards 25: 37–58. doi:10.1023/A:1013388814894.
   Web of Science ®Google Scholar
• Wilhite, D. A. 2000. Drought: A Global Assessment, Natural and Disasters Series. London: Routledge.
   Google Scholar
• Wilhite, D. A., M. D. Svoboda, and M. J. Hayes. 2007. “Understanding the Complex Impacts of Drought: A Key to Enhancing Drought Mitigation and Preparedness.” Water Resources Management 21: 763–774. doi:10.1007/s11269-006-9076-5.
   Web of Science ®Google Scholar
• Yilmaz, M. T., E. R. Hunt, and T. J. Jackson. 2008. “Remote Sensing of Vegetation Water Content from Equivalent Water Thickness Using Satellite Imagery.” Remote Sensing of Environment 112: 2514–2522. doi:10.1016/j.rse.2007.11.014.
   Web of Science ®Google Scholar