Drought monitoring in Iran using the perpendicular drought indices

International Journal of Applied Earth Observation and Geoinformation

Volumn 18, Issue 1, 2012, Pages 119-127

  Shahabfar, Alireza ^a   Ghulam, Abduwasit ^b   Eitzinger, Josef ^a  

^a UNIVERSITY OF NATURAL RESOURCES AND LIFE SCIENCES   (Austria)

^b Saint Louis University   (United States)

Author keywords

Drought monitoring; Droughts in Iran; Perpendicular drought indices; Remote sensing

Indexed keywords

DROUGHT; ERROR CORRECTION; ESTIMATION METHOD; MODIS; MONITORING SYSTEM; REMOTE SENSING; SATELLITE DATA; SATELLITE IMAGERY; SEMIARID REGION; TIME SERIES ANALYSIS;

IRAN;

EID: 84864510821     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2012.01.011     Document Type: Article

References (38)

1. Alijani, B., Ghohroudi, M.N., Arabi, N., 2008. Developing a climate model for Iran using GIS. Theor. Appl. Climatol. 92 (1-2), 103-112.
2. Bajgiran, P.R., Darvishsefat, A.A., Khalili, A., Makhdoum, M.F., 2008. Using A VHRRbased vegetation indices for drought monitoring in the Northwest of Iran. J. Arid Environ. 72 (6), 1086-1096.
3. Baret, F., Clevers, J.G.P.W., Steven, M.D., 1995. The robustness of canopy gap fraction estimations from red and near-infrared reflectances: a comparison of approaches. Remote Sens. Environ. 54 (2), 14-151.
4. Dai, A., 2011. Drought under global warming: a review. Wiley Interdiscip. Rev. Clim. Change 2 (1), 45-65.
5. Dai, A., Trenberth, K.E., Qian, T., 2004. A global data set of Palmer Drought Severity Index for 1870-2002: relationship with soil moisture and effects of surface warming. J. Hydrometeorol. 5 (6), 1117-1130.
6. Ebrahimi, M., Matkan, A.A., Darvishzadeh, R., 2010. Remote sensing for drought assessment in arid regions (a case study of central part of Iran, Shirkooh Yazd). In: Wagner, W., Székely, B. (Eds.), ISPRS TC VII Symposium - 100 Years ISPRS. Vienna, Austria, July 5-7, 2010. Vol. XXXVIII, Part 7B, pp. 199-203.
7. Ghulam, A., Qin, Q., Kusky, T.M., Li, Z-L., 2008. A re-examination of perpendicular drought indices. Int. J. Remote Sens. 29 (20), 6037-6044.
8. Ghulam, A., Qin, Q., Zhan, Z., 2007a. Designing of the perpendicular drought index. Environ. Geol. 52 (6), 1045-1052.
9. Ghulam, A., Qin, Q., Teyip, T., Li, Z.L., 2007b. Modified perpendicular drought index: a real time drought monitoring method. ISPRS J. Photogramm. 62 (2), 150-164.
10. Goward, S.N., Hope, A.S., 1989. Evaporation from combined reflected solar and emitted terrestrial radiation: preliminary FIFE results from AVHRR data. Adv. Space Res. 9 (7), 239-249.
11. Heim, R.R., 2002. A review of twentieth-century drought indices used in the United States. B. Am. Meteorol. Soc. 83 (8), 1149-1165.
12. Huete, A., Didan, K., Miura, T., Rodriguez, E.P., Gao, X., Ferreir, L.G., 2002. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sens. Environ. 83 (1-2), 195-213.
13. Hulme, M., Kelly, P.M., 1993. Exploring the links between desertification and climate change. Environment 35, 4-11, and 39-45.
14. IPCC Technical Paper VI, 2008. Climage Change and Water.
15. Jiang, Z., Huete, A., Chen, J., Chen, Y., Li, J., Yan, G., Zhang, X., 2006. Analysis of NDVI and scaled difference vegetation index retrievals of vegetation fraction. Remote Sens. Environ. 101 (3), 366-378.
16. Kendall, M.G., Stuart, A., 1977. The Advanced Theory of Statistics. Charles Griffin & Company, London, High Wycombe.
17. Kogan, F.N., 1995. Application of vegetation index and brightness temperature for drought detection. Adv. Space Res. 11 (11), 91-100.
18. Kogan, F.N., 1997. Global drought watch from space. B. Am. Meteorol. Soc. 78 (4), 621-636.
19. Landau, S., Everitt, B., 2004. A Handbook of Statistical Analyses using SPSS. Chapman & Hall/CRC, Boca Raton, FL.
20. Matkan, A.A., Darvishzadeh, R., Hosseiniasl, A., Ebrahimi, M., 2010. Estimation of vegetation fraction in arid areas using ALOS imagery. Proc. SPIE 7824 (78242E), doi:10.1117/12.864826.
21. Matsushita, B., Yang, W., Chen, J., Onda, Y., Qiu, G., 2007. Sensitivity of the enhanced vegetation index (EVI) and normalized difference vegetation index (NDVI) to topographic effects: a case study in high-density cypress forest. Sensors 7 (11), 2636-2651.
22. Mccarthy, J.J., Canziani, O.F., Leary, N.A., Dokken, D.J., White, K.S. (Eds.), 2001. Climate change 2001 - Impacts, Adaptation and vulnerability: Contribution of Working Group II to the Third Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge.
23. McKee, T.B., Doesken, N.J., Kleist, J., 1993. The relationship of drought frequency and duration to time scales. In: Proceedings of the 8th Conference on Applied Climatology. American Meteorological Society, Boston, pp. 179-184.
24. Morid, S., Smakhtinb, V., Moghaddasi, M., 2006. Comparison of seven meteorological indices for drought monitoring in Iran. Int. J. Climatol. 26 (7), 971-985.
25. Nemani, R.R., Running, S.W., 1989. Estimation of regional surface resistance to evapotranspiration from NDVI and thermal infrared AVHRR data. J. Appl. Meteorol. 28 (4), 276-284.
26. Nicholson, S.E., Farrar, T.J., 1994. The influence of soil type on the relationships between NDVI, rainfall, and soil moisture in semi-arid Botswana: I. NDVI response to rainfall. Remote Sens. Environ. 50 (2), 107-120.
27. OFDA/CRED International Disaster Database, 2011. Université catholique de Louvain - Brussels - Belgium, Available from .
28. Parry, M.L., Canziani, O.F., Palutikof, J.P., van der Linden, P.J., Hanson, C.E. (Eds.), 2007. Climate Change 2007 - Impacts, Adaptation and Vulnerability: Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge.
29. Price, J.C., 1990. Using spatial context in satellite data to infer regional scale evaportranspiration. IEEE T. Geosci. Remote. 28 (5), 940-948.
30. Qin, Q., Ghulam, A., Zhu, L., Wang, L., Li, J., Nan, P., 2008. Evaluation of MODIS derived perpendicular drought index for estimation of surface dryness over northwestern China. Int. J. Remote Sens. 29 (7), 1983-1995.
31. Quiring, S.M., Ganesh, S., 2010. Evaluating the utility of the Vegetation Condition Index (VCI) for monitoring meteorological drought in Texas. Agric. Forest. Meteorol. 150 (3), 330-339.
32. Rungsipanich, A., Chansury, W., 2008. Application of perpendicular drought index in the drought assessment in northeast region of Thailand using MODIS data. In: Proceedings of Asian Conference on Remote Sensing, http://www.a-a-rs. org/acrs/proceeding/ACRS2008/Papers/TS%2030.2.pdf.
33. Sandholt, I., Rasmussen, K., Andersen, J., 2002. A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status. Remote Sens. Environ. 79 (2-3), 213-224.
34. Shahabfar, A., Eitzinger, J., 2011. Agricultural drought monitoring in semi-arid and arid areas using MODIS data. J. Agric. Sci. 149, 403-414.
35. Shahabfar, A., Eitzinger, J., 2009. An evaluation of drought indices in different climatic regions. In: European Geosciences Union General Assembly, 19-24 April 2009, Vienna, Austria, Vol. 11, EGU2009-456.
36. Shindell, D.T., Faluvegi, G., Miller, R.L., Schmidt, G.A., Hansen, J.E., Sun, S., 2006. Solar and anthropogenic forcing of tropical hydrology. Geophys. Res. Lett. 33, 1-5.
37. Tucker, C.J., Choudhury, B.J., 1987. Satellite remote sensing of drought conditions. Remote Sens. Environ. 23 (2), 243-251.
38. Unganai, L.S., Kogan, F.N., 1998. Drought monitoring and corn yield estimation in southern Africa from AVHRR data. Remote Sens. Environ. 63 (3), 219-232.