A comprehensive drought monitoring method integrating MODIS and TRMM data

International Journal of Applied Earth Observation and Geoinformation

Volumn 23, Issue 1, 2013, Pages 245-253

  Du, Lingtong ^a,d   Tian, Qingjiu ^a   Yu, Tao ^b   Meng, Qingyan ^b   Jancso, Tamas ^c   Udvardy, Peter ^c   Huang, Yan ^a  

^a NANJING UNIVERSITY   (China)

^b BEIJING NORMAL UNIVERSITY   (China)

^c UNIVERSITY OF WEST HUNGARY   (Hungary)

^d NINGXIA UNIVERSITY   (China)

Author keywords

Drought; Moderate resolution imaging; Principal component analysis; Spectroradiometer; Synthesized drought index; Tropical rainfall measuring mission

Indexed keywords

DROUGHT; MODIS; PRINCIPAL COMPONENT ANALYSIS; SATELLITE DATA; SATELLITE IMAGERY; TRMM; VEGETATION COVER; WATER BUDGET;

CHINA; SHANDONG;

EID: 84880286885     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2012.09.010     Document Type: Article

References (56)

1. Almazroui, M., 2011. Calibration of TRMM rainfall climatology over Saudi Arabia during 1998-2009. Atmospheric Research 99 (3-4), 400-414.
2. Avena, G.C., Ricotta, C., Volpe, F., 1999. The influence of principal component analysis on the spatial structure of a multispectral dataset. International Journal of Remote Sensing 20 (17), 3367-3376.
3. Begueršaa, S., Vicente-Serrano, S.M., Martšanez, A., 2010. A multiscalar global drought dataset: the SPEIbase - a new gridded product for the analysis of drought variability and impacts. Bulletin of the American Meteorological Society 91 (10), 1351-1356.
4. Bhuiyan, C., Singh, 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 (4), 289-302.
5. Brown, J.F., Wardlow, B.D., Tadesse, T., Hayes, M.J., Reed, B.C., 2008. The vegetation drought response index (VegDRI): a new integrated approach for monitoring drought stress in vegetation. GIScience & Remote Sensing 45 (1), 16-46.
6. Chen, J., Jönsson, P., Tamura, M., Gu, Z., Matsushita, B., Eklundh, L., 2004. A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter. Remote Sensing of Environment 91 (3-4), 332-344.
7. Dai, A., 2011. Drought under global warming: a review. WIREs Climate Change 2 (1), 45-65.
8. Deng, J.S., Wang, K., Deng, Y.H., Qi, G.J., 2008. PCA-based land-use change detection and analysis using multitemporal and multisensor satellite data. International Journal of Remote Sensing 29 (16), 4823-4838.
9. Du, L., Tian, Q., Huang, Y., Liu, J., 2012. Drought monitoring based on TRMM data and its reliability validation in Shandong province. Transactions of the Chinese Society of Agricultural Engineering 28 (2), 121-126 (in Chinese).
10. Eastman, J.R., Fulk, M., 1993. Long sequence time-series evaluation using standardized principal components. Photogrammetric Engineering and Remote Sensing 59 (6), 991-996.
11. Gallo, K., Ji, L., Reed, B., Dwyer, J., Eidenshink, J., 2004. Comparison of MODIS and AVHRR 16-day normalized difference vegetation index composite data. Geophysical Research Letters 31 (7), http://dx.doi.org/10.1029/2003GL019385[L07502].
12. Gao, Z.Q., Gao, W., Chang, N.B., 2011. Integrating temperature vegetation dryness index (TVDI) and regional water stress index (RWSI) for drought assessment with the aid of LANDSAT TM/ETM+ images. International Journal of Applied Earth Observation and Geoinformation 13 (3), 495-503.
13. Gebrehiwot, T., van der Veen, A., Maathuis, B., 2011. Spatial and temporal assessment of drought in the Northern highlands of Ethiopia. International Journal of Applied Earth Observation and Geoinformation 13 (3), 309-321.
14. Guttman, N.B., 1999. Accepting the standardized precipitation index: a calculation algorithm. Journal of the American Water Resources Association 35 (2), 311-322.
15. Hayes, M.J., Svoboda, M.D., Wilhite, D.A., Vanyarkho, O.V., 1999. Monitoring the 1996 drought using the standardized precipitation index. Bulletin of the American Meteorological Society 80 (3), 429-438.
16. Heim, R.R., 2002. A review of twentieth-century drought indices used in the United States. Bulletin of the American Meteorological Society 83 (8), 1149-1166.
17. Huffman, G.J., Adler, R.F., Arkin, P., Chang, A., Ferraro, R., Gruber, A., Janowiak, J., McNab, A., Rudolf, B., Schneider, U., 1997. The global precipitation climatology project (GPCP) combined precipitation dataset. Bulletin of the American Meteorological Society 78 (1), 5-20.
18. Huffman, G.J., Adler, R.F., Rudolf, B., Schneider, U., Keehn, P.R., 1995. Global precipitation estimates based on a technique for combining satellite-based estimates, rain gauge analysis, and NWP model precipitation information. Journal of Climate 8 (5), 1284-1295.
19. Islam, M.N., Uyeda, H., 2005. Comparison of TRMM 3B42 products with surface rainfall over Bangladesh. In: IGARSS 2005: Proceedings of IEEE International Geoscience and Remote Sensing Symposium, vols. 1-8, pp. 4112-4115.
20. Islam, M.N., Uyeda, H., 2007. Use of TRMM in determining the climatic characteristics of rainfall over Bangladesh. Remote Sensing of Environment 108 (3), 264-276.
21. 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 (10), 2653-2668.
22. Karnieli, A., Bayasgalan, M., Bayarjargal, Y., Agam, N., Khudulmur, S., Tucker, C.J., 2006. Comments on the use of the vegetation health index over Mongolia. International Journal of Remote Sensing 27 (10), 2017-2024.
23. Keyantash, J., Dracup, J.A., 2002. The quantification of drought: an evaluation of drought indices. Bulletin of the American Meteorological Society 83, 1167-1180.
24. Kogan, F.N., 1995a. Application of vegetation index and brightness temperature for drought detection. Advances in Space Research 15 (11), 91-100.
25. 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 (5), 655-668.
26. Kogan, F.N., 1997. Global drought watch from space. Bulletin of the American Meteorological Society 78 (4), 621-636.
27. Kogan, F.N., Stark, R., Gitelson, A., Jargalsaikhan, L., Dugrajav, C., Tsooj, S., 2004. Derivation of pasture biomass in Mongolia from AVHRR-based vegetation health indices. International Journal of Remote Sensing 25 (14), 2889-2896.
28. Kogan, F.N., Sullivan, J., 1993. Development of global drought-watch system using NOAA/AVHRR data. Advances in Space Research 13 (5), 219-222.
29. Kogan, F.N., Yang, B., Wei, G., Zhiyuan, P., Xianfeng, J., 2005. Modelling corn production in China using AVHRR-based vegetation health indices. International Journal of Remote Sensing 26 (11), 2325-2336.
30. Kummerow, C., Barnes, W., Kozu, T., Shiue, J., Simpson, J., 1998. The tropical rainfall measuring mission (TRMM) sensor package. Journal of Atmospheric and Oceanic Technology 15 (3), 809-817.
31. Labedzki, L., 2007. Estimation of local drought frequency in central Poland using the standardized precipitation index SPI. Irrigation and Drainage 56 (1), 67-77.
32. Lasaponara, R., 2006. On the use of principal component analysis (PCA) for evaluating interannual vegetation anomalies from SPOT/VEGETATION NDVI temporal series. Ecological Modelling 194 (4), 429-434.
33. Liu, W.T., Juárez, R.I.N., 2001. ENSO drought onset prediction in northeast Brazil using NDVI. International Journal of Remote Sensing 22 (17), 3483-3501.
34. Liu, W.T., Kogan, F.N., 1996. Monitoring regional drought using the vegetation condition index. International Journal of Remote Sensing 17 (14), 2761-2782.
35. Ma Y.P. Wang, S.L., Zhang, l., Hou, Y.Y., Zhuang, L.W., He, Y.B., Wang, F.T., 2008. Monitoring winter wheat growth in North China by combining a crop model and remote sensing data. International Journal of Applied Earth Observation and Geoinformation 10 (4), 426-437.
36. McKee, T.B., Doesken, N.J., Kleist, J., 1993. The relationship of drought frequency and duration to time scales. In: Proceedings of Eighth Conference on Applied Climatology, Anaheim, CA. American Meteorological Society, Boston, MA, pp. 179-184.
37. McKee, T.B., Doesken, N.J., Kleist, J.,1995. Drought monitoring with multiple time scales. In: Proceedings of the Ninth Conference on Applied Climatology. American Meteorological Society, Boston, MA, pp. 233-236.
38. Moffitt, C.B., Hossain, F., Adler, R.F., Yilmaz, K.K., Pierce, H.F., 2011. Validation of a TRMM-based global flood detection system in Bangladesh. International Journal of Applied Earth Observation and Geoinformation 13 (2), 165-177.
39. Ntale, H.K., Gan, T.Y., 2003. Drought indices and their application to East Africa. International Journal of Climatology 23 (11), 1335-1357.
40. Palmer, W.C., 1965. Meteorological droughts. U.S. Department of Commerce Weather Bureau Research Paper 45, 58 pp.
41. 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 (3), 330-339.
42. Ren, J., Chen, Z., Zhou, Q., Tang, H., 2008. Regional yield estimation for winter wheat with MODIS-NDVI data in Shandong, China. International Journal of Applied Earth Observation and Geoinformation 10 (4), 403-413.
43. 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.
44. Richards, J.A., Jia, X., 2006. Remote Sensing Digital Image Analysis: An Introduction. Springer Verlag, Berlin, Germany.
45. Salazar, L., Kogan, F., Roytman, L., 2007. Use of remote sensing data for estimation of winter wheat yield in the United States. International Journal of Remote Sensing 28 (17), 3795-3811.
46. Salazar, L., Kogan, F., Roytman, L., 2008. Using vegetation health indices and partial least squares method for estimation of corn yield. International Journal of Remote Sensing 29 (1), 175-189.
47. 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 (22), 4393-4402.
48. Tucker, C., D'Souza, D., 1996. History of the use of AVHRR data for land applications. In: Souza, G.D., Selward, A.S., Malingreau, J.P. (Eds.), Advances in the Use of NOAA-AVHRR Data for Land Applications. Kluwer Academic Publishers, Dordrecht, pp. 1-19.
49. Udelhoven, T., Stellmes, M., del Barrio, G., Hill, J., 2009. Assessment of rainfall and NDVI anomalies in Spain (1989-1999) using distributed lag models. International Journal of Remote Sensing 30 (8), 1961-1976.
50. Unganai, L.S., Kogan, F.N., 1998. Drought monitoring and corn yield estimation in Southern Africa from AVHRR data. Remote Sensing of Environment 63 (3), 219-232.
51. USDA, 2011. Drought May Impact China's 2011 Winter Wheat Crop. http://www.pecad.fas.usda.gov/highlights/2011/01/China/ (accessed 15.01.12).
52. Vicente-Serrano, S.M., 2007. Evaluating the impact of drought using remote sensing in a Mediterranean, semi-arid region. Natural Hazards 40 (1), 173-208.
53. Wan, Z., Dozier, J., 1996. A generalized split-window algorithm for retrieving landsurface temperature from space. IEEE Transactions on Geoscience and Remote Sensing 34 (4), 892-905.
54. Wang, J., Price, K.P., Rich, P.M., 2001. Spatial patterns of NDVI in response to precipitation and temperature in the central Great Plains. International Journal of Remote Sensing 22 (18), 3827-3844.
55. Yao, Y., Liang, S., Qin, Q., Wang, K., Zhao, S., 2011. Monitoring global land surface drought based on a hybrid evapotranspiration model. International Journal of Applied Earth Observation and Geoinformation 13 (3), 447-457.
56. Zhao, M.S., Running, S.W., 2010. Drought-induced reduction in global terrestrial net primary production from 2000 through 2009. Science 329 (5994), 940-943.