Using satellite-based soil moisture to detect and monitor spatiotemporal traces of agricultural drought over Bundelkhand region of India

GIScience and Remote Sensing

Volumn 54, Issue 2, 2017, Pages 144-166

  Padhee, Suman Kumar ^a   Nikam, Bhaskar Ramachandra ^b   Dutta, Subashisa ^a   Aggarwal, Shiv Prasad ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY GUWAHATI   (India)

^b INDIAN INSTITUTE OF REMOTE SENSING   (India)

Author keywords

agricultural drought; effective drought index (EDI); satellite soil moisture; spatial downscaling; vegetation condition index (VCI)

Indexed keywords

DOWNSCALING; DROUGHT; ENVIRONMENTAL INDICATOR; SATELLITE IMAGERY; SOIL MOISTURE; SPATIAL DATA; SPATIOTEMPORAL ANALYSIS; VEGETATION INDEX; VISUALIZATION;

BUNDELKHAND; INDIA;

EID: 85011915301     PISSN: 15481603     EISSN: None     Source Type: Journal    
DOI: 10.1080/15481603.2017.1286725     Document Type: Article

References (48)

1. Aggarwal, P. K., 2008. “Global Climate Change and Indian Agriculture:Impacts, Adaptation and Mitigation.” The Indian Journal of Agricultural Sciences 78 (11):911-919.
2. Anderson, W. B., B. F., Zaitchik, C. R., Hain, M. C., Anderson, M. T., Yilmaz, J., Mecikalski, and L., Schultz. 2012. “Towards an Integrated Soil Moisture Drought Monitor for East Africa.” Hydrology and Earth System Sciences 16:2893–2913. doi:10.5194/hess-16-2893-2012.
3. Boken, V. K., A. P., Cracknell, and R. L., Heathcote. 2005. Monitoring and Predicting Agricultural Drought:A Global Study. New York:Oxford University Press.
4. Bolten, J. D., W. T., Crow, X., Zhan, T. J., Jackson, and C. A., Reynolds. 2010. “Evaluating the Utility of Remotely Sensed Soil Moisture Retrievals for Operational Agricultural Drought Monitoring.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 3 (1):57–66. doi:10.1109/JSTARS.2009.2037163.
5. Byun, H.-R., and D. A., Wilhite. 1999. “Objective Quantification of Drought Severity and Duration.” Journal of Climate 12 (9):2747–2756. doi:10.1175/1520-0442(1999)012<2747:OQODSA>2.0.CO;2.
6. 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 (1–2):161–173. doi:10.1080/02757259409532220.
7. Carlson, T., 2007. “An Overview of the “Triangle Method” for Estimating Surface Evapotranspiration and Soil Moisture from Satellite Imagery.” Sensors 7 (8):1612–1629. doi:10.3390/s7081612.
8. Du, Y., F. T., Ulaby, and M. C., Dobson. 2000. “Sensitivity to Soil Moisture by Active and Passive Microwave Sensors.” IEEE Transactions on Geoscience and Remote Sensing 38 (1):105–114. doi:10.1109/36.823905.
9. Farooq, M., A., Wahid, N., Kobayashi, D., Fujita, and S. M. A., Basra. 2009. “Plant Drought Stress:Effects, Mechanisms and Management.” Agronomy for Sustainable Development 29 (1):185–212. doi:10.1051/agro:2008021.
10. Gago, J., C., Douthe, R. E., Coopman, P. P., Gallego, M., Ribas-Carbo, J., Flexas, J., Escalona, and H., Medrano. 2015. “Uavs Challenge to Assess Water Stress for Sustainable Agriculture.” Agricultural Water Management 153:9–19. doi:10.1016/j.agwat.2015.01.020.
11. Guha, A., and V., Lakshmi. 2004. “Use of the Scanning Multichannel Microwave Radiometer (SMMR) to Retrieve Soil Moisture and Surface Temperature over the Central United States.” IEEE Transactions on Geoscience and Remote Sensing 42 (7):1482–1494. doi:10.1109/TGRS.2004.828193.
12. Holzman, M. E., R., Rivas, and M. C., Piccolo. 2014. “Estimating Soil Moisture and the Relationship with Crop Yield Using Surface Temperature and Vegetation Index.” International Journal of Applied Earth Observation and Geoinformation 28 (1):181–192. doi:10.1016/j.jag.2013.12.006.
13. 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.
14. Jiao, W., L., Zhang, Q., Chang, D., Fu, Y., Cen, and Q., Tong. 2016. “Evaluating an Enhanced Vegetation Condition Index (VCI) Based on VIUPD for Drought Monitoring in the Continental United States.” Remote Sensing 8 (3):224. doi:10.3390/rs8030224.
15. Kim, J., and T. S., Hogue. 2012. “Improving Spatial Soil Moisture Representation through Integration of AMSR-E and MODIS Products.” IEEE Transactions on Geoscience and Remote Sensing 50 (2):446–460. doi:10.1109/TGRS.2011.2161318.
16. Kogan, F. N., 1990. “Remote Sensing of Weather Impacts on Vegetation in Non-Homogeneous Areas.” International Journal of Remote Sensing 11 (8):1405–1419. doi:10.1080/01431169008955102.
17. Kondratyev, K. Y., V. V., Melentyev, Y. I., Rabinovich, and E. M., Shulgina. 1977. “Passive Microwave Remote Sensing of Soil Moisture.” Proceedings of 11th International Symposium on Remote Sensing Environment, April 25-29, 1977, University of Michigan, Ann Arbor, USA, 1641-1661.
18. Liu, Y. Y., W. A., Dorigo, R. M., Parinussa, R. A. M., De Jeu, W., Wagner, M. F., McCabe, J. P., Evans, and A. I. J. M., Van Dijk. 2012. “Trend-Preserving Blending of Passive and Active Microwave Soil Moisture Retrievals.” Remote Sensing of Environment 123:280–297. doi:10.1016/j.rse.2012.03.014.
19. Liu, Y. Y., R. M., Parinussa, W. A., Dorigo, R. A. M., De Jeu, W., Wagner, A. I. J. M., Van Dijk, M. F., McCabe, and J. P., Evans. 2011. “Developing an Improved Soil Moisture Dataset by Blending Passive and Active Microwave Satellite-Based Retrievals.” Hydrology and Earth System Sciences 15 (2):425–436. doi:10.5194/hess-15-425-2011.
20. Mao, Y., Z., Wu, H., He, G., Lu, H., Xu, and Q., Lin. 2017. “Spatio-Temporal Analysis of Drought in a Typical Plain Region Based on the Soil Moisture Anomaly Percentage Index.” Science of the Total Environment 576:752–765. doi:10.1016/j.scitotenv.2016.10.116.
21. McKee, T. B., N. J., Doesken, and J., Kleist. 1995. “Drought Monitoring with Multiple Time Scales.”Proceedings of the 9th American Meteorological Society Conference on Applied Climatology, January 15-20, 1995, Dallas, TX, USA, 233–236. http://ccc.atmos.colostate.edu/droughtmonitoring.pdf
22. McNally, A., S., Shukla, K. R., Arsenault, S., Wang, C. D., Peters-Lidard, and J. P., Verdin. 2016. “Evaluating ESA CCI Soil Moisture in East Africa.” International Journal of Applied Earth Observation and Geoinformation 48:96–109. doi:10.1016/j.jag.2016.01.001.
23. Mishra, A. K., and V. P., Singh. 2010. “A Review of Drought Concepts.” Journal of Hydrology 391 (1–2):202–216. doi:10.1016/j.jhydrol.2010.07.012.
24. Morid, S., V., Smakhtin, and M., Moghaddasi. 2006. “Comparison of Seven Meteorological Indices for Drought Monitoring in Iran.” International Journal of Climatology 26 (7):971–985. doi:10.1002/joc.1264.
25. Narasimhan, B., and R., Srinivasan. 2005. “Development and Evaluation of Soil Moisture Deficit Index (SMDI) and Evapotranspiration Deficit Index (ETDI) for Agricultural Drought Monitoring.” Agricultural and Forest Meteorology 133:69–88. doi:10.1016/j.agrformet.2005.07.012.
26. National Rainfed Area Authority. 2008. Report on Drought Mitigation Strategy for Bundelkhand Region of Uttar Pradesh and Madhya Pradesh.
27. Njoku, E. G., and D., Entekhabi. 1996. “Soil Moisture Theories and Observationspassive Microwave Remote Sensing of Soil Moisture.” Journal of Hydrology 184 (1–2):101–129. doi:10.1016/0022-1694(95)02970-2.
28. Palmer, W. C., 1965. “Meteorological Drought.” U.S. Weather Bureau Research Paper 45:58.
29. Patel, N. R., and K., Yadav. 2015. “Monitoring Spatio-Temporal Pattern of Drought Stress Using Integrated Drought Index over Bundelkhand Region, India.” Natural Hazards 77 (2):663–677. doi:10.1007/s11069-015-1614-0.
30. Pérez-Blanco, C. D., G., Standardi, J., Mysiak, R., Parrado, and C., Gutiérrez-Martín. 2016. “Incremental Water Charging in Agriculture. A Case Study of the Regione Emilia Romagna in Italy.” Environmental Modelling & Software 78:202–215. doi:10.1016/j.envsoft.2015.12.016.
31. 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 150:330–339. doi:10.1016/j.agrformet.2009.11.015.
32. Rahmani, A., S., Golian, and L., Brocca. 2016. “Multiyear Monitoring of Soil Moisture over Iran through Satellite and Reanalysis Soil Moisture Products.” International Journal of Applied Earth Observation and Geoinformation 48:85–95. doi:10.1016/j.jag.2015.06.009.
33. Reichle, R. H., R. D., Koster, J., Dong, and A. A., Berg. 2004. “Global Soil Moisture from Satellite Observations, Land Surface Models, and Ground Data:Implications for Data Assimilation.” Journal of Hydrometeorology 5 (3):430–442. doi:10.1175/1525-7541(2004)005<0430:GSMFSO>2.0.CO;2.
34. 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.
35. Rockström, J., J., Barron, and P., Fox. 2002. “Rainwater Management for Increased Productivity among Small-Holder Farmers in Drought Prone Environments.” Physics and Chemistry of the Earth, Parts A/B/C 27 (11–22):949–959. doi:10.1016/S1474-7065(02)00098-0.
36. Rockström, J., and M., Falkenmark. 2000. “Semiarid Crop Production from a Hydrological Perspective:Gap between Potential and Actual Yields.” Critical Reviews in Plant Sciences 19 (4):319–346. doi:10.1080/07352680091139259.
37. Senay, G. B., N. M., Velpuri, S., Bohms, M., Budde, C., Young, J., Rowland, and J. P., Verdin. 2015. “Chapter 9. “Drought Monitoring and Assessment:Remote Sensing and Modeling Approaches for the Famine Early Warning Systems Network”. In Hydro-Meteorological Hazards, Risks and Disasters, edited by J. F., Shroder, P., Paron, and G., Di Baldassarre, 233–262. Boston, MA:Elsevier. doi:10.1016/B978-0-12-394846-5.00009-6.
38. Seshasai, M. V. R., C. S., Murthy, K., Chandrasekar, A. T., Jeyaseelan, P. G., Diwakar, and V. K., Dadhwal. 2016. “Agricultural Drought:Assessment & Monitoring.” Mausam 67 (1):131–142. http://metnet.imd.gov.in/mausamdocs/167111.pdf.
39. Shinde, S. S., and P., Modak. 2013. “Chapter 2.14. “Vulnerability of Indian Agriculture to Climate Change.”.” In Climate Vulnerability, edited by R. A., Pielke, 139–152. Oxford:Academic Press. doi:10.1016/B978-0-12-384703-4.00227-6.
40. Singh, R. P., S., Roy, and F., Kogan. 2003. “Vegetation and Temperature Condition Indices from NOAA AVHRR Data for Drought Monitoring over India.” International Journal of Remote Sensing 24 (22):4393–4402. doi:10.1080/0143116031000084323.
41. 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.
42. Usman, M. T., E., Archer, P., Johnston, and M., Tadross. 2005. “A Conceptual Framework for Enhancing the Utility of Rainfall Hazard Forecasts for Agriculture in Marginal Environments.” Natural Hazards 34 (1):111–129. doi:10.1007/s11069-004-4349-x.
43. Wagner, W., W., Dorigo, R., De Jeu, D., Fernandez, J., Benveniste, E., Haas, and M., Ertl. 2012. “Fusion of Active and Passive Microwave Observations to Create an Essential Climate Variable Data Record on Soil Moisture.” ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences I–7:315–321. doi:10.5194/isprsannals-I-7-315-2012.
44. Wilhite, D. A., 2000. “Chapter 1.” In Drought:A Global Assessment, edited by D. A., Wilhite, 3–18. London:Routledge.
45. Wilhite, D. A., 2005. Drought and Water Crises:Science, Technology, and Management Issues. Vol. 86. Boca Raton, FL:CRC Press, Taylor & Francis Group.
46. Wu, D., J. J., Qu, and X., Hao. 2015. “Agricultural Drought Monitoring Using MODIS-Based Drought Indices over the USA Corn Belt.” International Journal Of Remote Sensing 36 (21):5403–5425. doi:10.1080/01431161.2015.1093190.
47. Zhang, L., W., Jiao, H., Zhang, C., Huang, and Q., Tong. 2017. “Studying Drought Phenomena in the Continental United States in 2011 and 2012 Using Various Drought Indices.” Remote Sensing of Environment 190:96–106. doi:10.1016/j.rse.2016.12.010.
48. Zhao, W., and A., Li. 2013. “A Downscaling Method for Improving the Spatial Resolution of AMSR-E Derived Soil Moisture Product Based on MSG-SEVIRI Data.” Remote Sensing 5 (12):6790–6811. doi:10.3390/rs5126790.