Agricultural drought monitoring in semi-arid and arid areas using MODIS data

Journal of Agricultural Science

Volumn 149, Issue 4, 2011, Pages 403-414

  Shahabfar, A ^a   Eitzinger, J ^a  

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

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURAL LAND; ARID REGION; CLIMATE CONDITIONS; DATA SET; DEVELOPING WORLD; DROUGHT; DROUGHT STRESS; ENVIRONMENTAL MONITORING; EVAPOTRANSPIRATION; IRRIGATION; MODIS; REMOTE SENSING; RESOLUTION; SATELLITE DATA; SATELLITE IMAGERY; SEMIARID REGION; TEMPORAL ANALYSIS; TEMPORAL VARIATION; VEGETATION INDEX; WATER BUDGET; WHEAT;

IRAN;

TRITICUM AESTIVUM;

EID: 79960168027     PISSN: 00218596     EISSN: 14695146     Source Type: Journal    
DOI: 10.1017/S0021859610001309     Document Type: Article

References (40)

1. ALLEN, R. G., PEREIRA, L. S., RAES, D. & SMITH, M. (1998). Crop Evapotranspiration Guidelines for Computing Crop Water Requirements. FAO Irrigation and Drainage Paper No. 56. Rome, Italy: FAO.
2. ANYAMBA, A. & TUCKER, C. J. (2005). Analysis of Sahelian vegetation dynamics using NOAA-AVHRR NDVI data from 1981-2003. Journal of Arid Environments 63, 596-614. (Pubitemid 40984989)
3. BAJGIRAN, P. R., DARVISHSEFAT, A. A., KHALILI, A. & MAKHDOUM, M. F. (2008). Using AVHRR-based vegetation indices for drought monitoring in the Northwest of Iran. Journal of Arid Environments 72, 1086-1096.
4. BARET, F., CLEVERS, J.G.P.W. & STEVEN, M.D. (1995). The robustness of canopy gap fraction estimates from red and near-infrared reflectances: a comparison of approaches. Remote Sensing of Environment 54, 141-151. (Pubitemid 3000643)
5. BHUIYANA, C., SINGHA, R.P. & KOGAN, F.N. (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, 289-302. (Pubitemid 44734658)
6. CLARKE, D. (1998). CROPWAT for Windows User's Guide, version 4.2. Southampton, UK: Institute of Irrigation and Development Studies (IIDS), University of Southampton.
7. DAI, A. (in press). Drought under global warming: a review. Wiley Interdisciplinary Reviews: Climate Change. doi: 10.1002/wcc.81.
8. DASTANE, N.G. (1978). Effective Rainfall in Irrigated Agriculture. FAO Irrigation and Drainage Papers 25. Rome, Italy: FAO.
9. DIOUF, A. & LAMBIN, E. F. (2001). Monitoring land-cover changes in semi-arid regions: remote sensing data and field observations in the Ferlo, Senegal. Journal of Arid Environments 48, 129-148. (Pubitemid 32602270)
10. FAN, Y.Q. & CAI, H. J. (2002). Comparison of crop water requirements computed by single crop coefficient approach and dual crop coefficient approach. Journal of Hydraulic Engineering 3, 50-54.
11. GHULAM, A., QIN, Q., KUSKY, T. & LI, Z. L. (2008). A reexamination of perpendicular drought indices. International Journal of Remote Sensing 29, 6037-6044.
12. GHULAM, A., QIN, Q., TEYIP, T. & LI, Z. L. (2007b). Modified perpendicular drought index (MPDI): a real-time drought monitoring method. ISPRS Journal of Photogrammetry and Remote Sensing 62, 150-164. (Pubitemid 46856860)
13. GHULAM, A., QIN, Q. & ZHAN, Z. (2007a). Designing of the perpendicular drought index. Environmental Geology 52, 1045-1052. (Pubitemid 46742706)
14. HARTMANN, T., DI BELLA, C. & ORICCHIO, P. (2003). Assessment of the possible drought impact on farm production in the SE of the province of Buenos Aires, Argentina. ISPRS Journal of Photogrammetry and Remote Sensing 57, 281-288. (Pubitemid 36224757)
15. HUETE, A., DIDAN, K., MIURA, T., RODRIGUEZ, E.P., GAO, X. & FERREIRA, L.G. (2002). Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment 83, 195-213. (Pubitemid 35307469)
16. JAIN, S. K., KESHRI, R., GOSWAMI, A., SARKAR, A. & CHAUDHRY, A. (2009). Identification of drought-vulnerable areas using NOAA AVHRR data. International Journal of Remote Sensing 30, 2653-2668.
17. JI, L. & PETERS, A. J. (2003). Assessing vegetation response to drought in the northern Great Plains using vegetation and drought indices. Remote Sensing of Environment 87, 85-98. (Pubitemid 37261471)
18. KOGAN, F.N. (1995). Application of vegetation index and brightness temperature for drought detection. Advances in Space Research 15, 91-100.
19. KOGAN, F.N. (1997). Global drought watch from space. Bulletin of the American Meteorological Society 78, 621-636.
20. LAND ANDWATER DEVELOPMENT DIVISION (2003). Digital Soil Map of the World and Derived Soil Properties (On CD-ROM). Rome, Italy: FAO.
21. LI, Y. L., GAO, S.H. & GUA, J. P. (2004). Analysis of water supply and demand for crops in the dry cropland of China. Climatic and Environmental Research 9, 331-341 (in Chinese).
22. LU, Y., TAO, H. & WU, H. (2007). Dynamic drought monitoring in Guangxi using revised temperature vegetation dryness index. Wuhan University Journal of Natural Sciences 12, 663-668.
23. MALAKOUTI, M. J., KHOUGHAR, Z. & KHADEMI, Z. (2004). Innovative Approaches to Balanced Nutrition of Wheat: a Compilation of Papers. Agronomy Department. Ministry of Jihad-e-Agriculture. Tehran, Iran: Sana Publishing Co.
24. MARTINY, N., CAMBERLIN, P., RICHARD, Y. & PHILIPPON, N. (2006). Compared regimes of NDVI and rainfall in semiarid regions of Africa. International Journal of Remote Sensing 27, 5201-5223. (Pubitemid 46978562)
25. MORID, S., SMAKHTIN, V. & MOGHADDASI, M. (2006). Comparison of seven meteorological indices for drought monitoring in Iran. International Journal of Climatology 26, 971-985.
26. MURTHY, C. S., SESHA SAI, M. V. R., CHANDRASEKAR, K. & ROY, P. S. (2009). Spatial and temporal responses of different crop-growing environments to agricultural drought: a study in Haryana state, India using NOAA AVHRR data. International Journal of Remote Sensing 30, 2897-2914.
27. 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. International Journal of Remote Sensing 29, 1983-1995. (Pubitemid 351460591)
28. QUIRING, S.M. & GANESH, S. (2010). Evaluating the utility of the Vegetation Condition Index (VCI) for monitoring meteorological drought in Texas. Agricultural and Forest Meteorology 150, 330-339.
29. RHEE, J., IM, J. & CARBONE, G. J. (2010). Monitoring agricultural drought for arid and humid regions using multi-sensor remote sensing data. Remote Sensing of Environment 114, 2875-2887.
30. SHAHABFAR, A. & EITZINGER, J. (2009). Different responses of MODIS-derived drought indices in a variety of agroclimatic conditions. In Impact of Climate Change and Adaptation in Agriculture. International Symposium, University of Natural Resources and Applied Life Sciences (BOKU), Vienna, 22-23 June 2009. Extended Abstracts (Eds J. Eitzinger & G. Kubu), pp. 140-143. BOKU-Met Report 17. Vienna: BOKU. Available online at: http://www.adagio-eu.org/ documents/BOKU-Met-Report-17. pdf (Verified 17 Nov 2010).
31. SINGH, R. P., ROY, S. & KOGAN, F. (2003). Vegetation and temperature condition indices from NOAA AVHRR data for drought monitoring over India. International Journal of Remote Sensing 24, 4393-4402. (Pubitemid 37507369)
32. SONG, X., SAITO, G., KODAMA, M. & SAWADA, H. (2004). Early detection system of drought in East Asia using NDVI from NOAA/AVHRR data. International Journal of Remote Sensing 25, 3105-3111. (Pubitemid 38982748)
33. SUN, R., GAO, X., LIU, C.M. & LI, X.W. (2004). Evapotranspiration estimation in the Yellow River Basin, China using integrated NDVI data. International Journal of Remote Sensing 25, 2523-2534. (Pubitemid 38861379)
34. VERMOTE, F. E., TANRE, D., DEUZE, L. J., HERMAN, M. & MORCRETTE, J. J. (1997). Second simulation of the satellite signal in the solar spectrum: an overview. IEEE Transactions on Geoscience and Remote Sensing 35, 675-686. (Pubitemid 127771105)
35. WANG, D.W., ZHOU, D. M., ZHANG, J.P. & ZANG, S.G. (1998). Research on soil moisture dynamics and production effect of water-fertilized coupling in the dry land of Taihanshan Mountain area. Agricultural Research in Arid Areas 16, 32-40 (in Chinese).
36. YANG, Y., FENGA, Z., HUANG, H.Q. & LIN, Y. (2008). Climate-induced changes in crop water balance during 1960-2001 in Northwest China. Agriculture, Ecosystems and Environment 127, 107-118.
37. YUE, W. & TAN, W. (2007). The relationship between land surface temperature and NDVI with remote sensing: application to Shanghai Landsat 7 ETM+ data. International Journal of Remote Sensing 28, 3205-3226. (Pubitemid 47208982)
38. ZHAO, J. B., XU, Z. L., ZHONG, Z.Z. & MAO, X. S. (2000). Field Water Balance in the Dry Land of Northwest China. Beijing: China Agriculture Press (in Chinese).
39. ZHAO, S. L. (1996). Introduction to Catchment Agriculture. Xi'an, China: Shaanxi Science and Technology Press (in Chinese).
40. ZIAEI, A.N. & SEPASKHAH, A. R. (2003). Model for simulation of winter wheat yield under dryland and irrigated conditions. Agricultural Water Management 58, 1-17. (Pubitemid 35337432)