Assessment of remotely sensed drought features in vulnerable agriculture

Natural Hazards and Earth System Science

Volumn 12, Issue 10, 2012, Pages 3139-3150

  Dalezios, N R ^a   Blanta, A ^a   Spyropoulos, N V ^b  

^a School of Agricultural Sciences   (Greece)

^b AGRICULTURAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURE; ASSESSMENT METHOD; AVHRR; DROUGHT; EOS; HYDROMETEOROLOGY; NATURE-SOCIETY RELATIONS; NOAA SATELLITE; REMOTE SENSING; TEMPORAL ANALYSIS; VULNERABILITY;

GREECE; THESSALY;

EID: 84867973756     PISSN: 15618633     EISSN: 16849981     Source Type: Journal    
DOI: 10.5194/nhess-12-3139-2012     Document Type: Article

References (32)

1. Anderson, M. C., Hain, C., Wardlow, B., Pimstein, A., Mecikalski, J. R., and Kustas, W. P.: Evaluation of drought indices based on Thermal remote sensing of evapotranspiration over the continental United States, J. Climate, 24, 2025-2044, 2011.
2. Blaney, H. F. and Criddle, W. D.: Determining water requirements in irrigated areas from climatological and irrigation data, USDA Soil Conservation Service, Technical Paper, No. 96, 48 pp., 1950.
3. Becker, F. and Li, Z. L.: Towards a local "split window" method over land surface, Int. J. Remote Sens., 3, 369-393, 1990. (Pubitemid 20693697)
4. Caccamo, G., Chisholm, L. A., Bradstock, R. A., and Puotinen, M. L.: Assessing the sensitivity of MODIS to monitor drought in high biomass ecosystems, Remote Sens. Environ., 115, 2626- 2639, 2011.
5. Colwell, N. R.: Remote sensing research for agricultural applications (USA), California University, Berkeley, Space Sciences Laboratory, 1984.
6. Dalezios, N. R.: Objective Rainfall Evaluation in Radar Hydrology, J. Water Resour. Plan. Manag., 114, 531-546, 1988.
7. Dalezios, N. R., Loukas, A., Vasiliades, L., and Liakopoulos, H.: Severity-Duration-Frequency Analysis of Droughts and Wet Periods in Greece, Hydrol. Sci., 45, 751-770, 2000.
8. Dalezios, N. R., Bampzelis D., and Domenikiotis, C.: An integrated methodological procedure for alternative drought mitigation in Greece, European Water, 27/28, 53-73, 2009.
9. Du, L., Tian, Q., Huang, Y., and Liu, J: Drought monitoring based on TRMM data and its reliability validation in Shandong province, Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 28, 121-126, 2012.
10. Foot, J. S.: Hazard warning in meteorology: the importance of remote sensing, in: Proceedings of IDNDR Conference on Natural Hazards and Remote Sensing, London, UK, 8-9 March, 13-16, 1993.
11. Heim Jr., R. R.: A Review of Twentieth- Century Drought Indices Used in the United States, B. Am. Meteorol. Soc., 83, 1149- 1165, 2002. (Pubitemid 35184165)
12. Huang, S., Dahal, D., Young, C., Chander, G., and Liu, S.: Integration of Palmer Drought Severity Index and remote sensing data to simulate wetland water surface from 1910 to 2009 in Cottonwood Lake area, North Dakota, Remote Sens. Environ., 115, 3377-3389, 2011.
13. Jenkins, G. M. and Watts, D. G.: Spectral analysis and its applications, Holden-Day, San Francisco, 525 pp., 1968.
14. Kanellou, E., Domenikiotis, C., Tsiros, E., and Dalezios, N. R.: Satellite-based Drought Estimation in Thessaly, EuropeanWater, 23/24, 111-122, 2009.
15. Kanellou, E., Spyropoulos, N., and Dalezios, N. R.: Geoinformatic Intelligence Methodologies for Drought Spatiotemporal Variability in Greece, Water Resour. Manage., 26, 1089-1106, 2011.
16. Keyantash, J. and Dracup, J. A.: The Quantification of Drought: An Evaluation of Drought Indices, B. Am. Meteorol. Soc., 83/8, 1167-1180, 2002. (Pubitemid 35173647)
17. Loukas A., Vasiliades, L., and Dalezios, N. R.: Hydroclimatic variability of regional droughts in Greece using the Palmer Moisture Anomaly Index, Nordic Hydrol., 33, 425-442, 2002. (Pubitemid 36225587)
18. McVicar, T. R. and Jupp, D. L. B.: The Current and Potential Operational Uses of Remote Sensing to Aid Decisions on Drought Exceptional Circumstances in Australia: a Review, Agr. Systems, 57, 399-468, 1998. (Pubitemid 28397757)
19. Mishra, A. K. and Singh, V. P.: Drought modeling - A review, Rev. J. Hydrol., 403, 157-175, 2011.
20. Nash, J. E. and Sutcliffe, J. V.: River flow forecasting through conceptual models, Part-1: A discussion of principles, J. Hydrol., 10, 282-290, 1970.
21. Palmer, W. C.: Meteorological drought. Research Paper No. 45, US Department of Commerce,Weather Bureau,Washington, DC, 58 pp., 1965.
22. Peled, E., Dutra, E., Viterbo, P., and Angert, A.: Technical Note: Comparing and ranking soil drought indices performance over Europe, through remote-sensing of vegetation, Hydrol. Earth Syst. Sci., 14, 271-277, doi:10.5194/hess-14-271-2010, 2010.
23. Percival, D. B. and Walden, A. T.: Spectral analysis for physical applications-multitaper and conventional univariate techniques, Cambridge University Press, New York, 612 pp., 1993.
24. Piechota, T. C. and Dracup, J. A.: Drought and Regional Hydrology Variation in the United States: associations with the El Nino- Southern Oscillation Water Resour. Res., 32, 1359-1373, 1996.
25. Rhee, J., Im, J., and Carbone, G. J.: Monitoring agricultural drought for arid and humid regions using multi-sensor remote sensing data, Remote Sens. Environ., 114, 2875-2887, 2010.
26. Steinemann, A., Hayes, M. J., and Cavalcanti, L.: Drought indicators and triggers, in: Drought and Water Crises, Science Technology and Management Issues, edited by: Wilhite, D., Marcer Dekker Publ., 71-90, 2005.
27. Thenkabail, P. S., Gamage, M. S. D. N., and Smakhtin, V. U.: The Use of Remote Sensing Data for Drought Assessment and Monitoring in Southwest Asia, Research Report, International Water Management Institute, 85, 1-25, 2004.
28. Tsakiris, G. and Vangelis, H.: Establishing a Drought Index Incorporating Evapotraspiration, European Water, 9/10, 3-11, 2005.
29. Tsakiris, G., Pangalou D., and Vangelis, H.: Regional drought assessment based on the Reconnaissance Drought Index (RDI), Water Resour. Manage., 21, 821-833, 2007. (Pubitemid 46672161)
30. Van de Griend, A. A. and Owe, M.: On the relationship between thermal emissivity and the normalized difference vegetation index for natural surfaces, Int. J. Remote Sens., 14, 1119-1137, 1993.
31. Williams, J. B: Direct reception of satellite data for in-country warning, monitoring and mitigation of natural disasters in the developing world: the LARST approach, Hazard warning in meteorology: the importance of remote sensing, in: Proceedings of IDNDR Conference on Natural Hazards and Remote Sensing, London, UK, 8-9 March, 22-25, 1993.
32. Zhou, L., Zhang, J., Wu, J., Zhao, L., Liu, M., Lu, A., and Wu, Z.: Comparison of remotely sensed and meteorological data-derived drought indices in mid-eastern China, Int. J. Remote Sens., 33, 1755-1779, 2012.