Abstract
Numerous natural and anthropogenic factors have caused soil salinization, land surface degradation, and desertification in Keriya County in China’s Xinjiang region. Information from multi-temporal remotely sensed data such as the Soil Salinity Index (SSI) has contributed significantly to an understanding of these environmental changes. The approach to calculating SSI is based on the spectral bands of Landsat Thematic Mapper (TM) or Enhanced Thematic Mapper Plus (ETM+). A soil salinity map of the Keriya County area was produced from Landsat ETM+ images, with an overall accuracy of 72.73% and kappa coefficient of 0.6689. The analysis of the recent evolution of the oasis of Keriya County was carried out by coupling climatic and socioeconomic data with information derived from multi-temporal remotely sensed data such as the SSI, Normalized Difference Vegetation Index (NDVI), and different land use classes. Such analysis appeared to be very useful in identifying and monitoring changes occurring in the oasis ecosystem and for understanding the consequences of human-induced land degradation processes.
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References
Adler-Golden, S.M. 1999. Atmospheric Correction for Short-wave Spectral Imagery Based on MODTRAN4. SPIE Conference Proceedings, Imaging Spectrometry V 3753.
Adler-Golden, et al. 2002. An algorithm for de-shadowing spectral imagery. Proc. 11 th JPL Airborne Earth Science Workshop. March 5–8, 2002. Pasadena, USA.
Ahmad, M., and G.P. Kutcher. 1992. Environmental Issues. Irrigation Planning with Environmental Considerations. Washington DC: World Bank Publications, 37–39.
Asrar, G., et al. 1984. Estimating absorbed photosynthetically active radiation and leaf area index from spectral reflectance in wheat. Agronomy Journal 76:300–306.
Attané I., and Y. Courbage. 2000. Transitional stages and identity boundaries: the case of ethnic minorities in China. Population and Environment 21 (3): 257–280.
Baret, F., and G. Guyot. 1991. Potentials and limits of vegetation indices for LAI and APAR. Remote Sensing of Environment 35:161–173.
Berk, A., et al. 2003. MODTRAN4 Version 3 Revision 1 User’s Manual. Hanscom MA: Air Force Research Laboratory.
Biswas, M.R., and A.K. Biswas. 1980. Combating desertification in China. In: Desertification, Environmental Sciences and Applications, Oxford: Pergamon Press 12:109–177.
Carlson, T.N., W.J. Capehart, and R.R. Gillies. 1995. A new look at the simplified method for remote sensing of daily evapotranspiration. Remote Sensing of Environment 54 (2): 1329–1337.
Cheng, H. 1991. The change of eco-environment and the rational utilization of water resources in the Keriya River Valley. Die Erde, Erg-H6, 133–147.
Choudhury, B.J. 1994. Synergism of multispectral satellite observation for estimating regional land surface evaporation. Remote Sensing of Environment 49 (3): 264–274.
Coque, R., and P. Gentelle. 1991. Désert et désertification en Chine: l’exemple du Xinjiang. Science et changements planétaires/Secheresse 2 (2): 111–118.
Courel, M.F., R.S. Kandel, and S.I. Rasool. 1984. Surface albedo and the Sahel drought. Nature 307: 528–531 [doi: 10.1038/307528a0].
Craig, J.C., S.F. Shih, B.J. Boman, and G.A. Carter. 1998. Detection of salinity stress in citrus trees using narrow-band multispectral imaging. ASAE paper no. 983076, presented at the ASAE Annual International Meeting, Orlando, Florida, USA, July 12–16, 1998.
Debaine-Francfort, C., and I. Abduressul (eds.) 2001. Keriya, mémoire d’un fleuve. Findakly, 245 pages.
Dwivedi, R.S., and B.R.M. Rao. 1992. The selection of the best possible Landsat TM band combination for delineating salt-affected soils. International Journal of Remote Sensing 13 (11): 2051–2058.
Eldiery, A., L.A. Garcia, and R.M. Reich. 2005. Estimating soil salinity from Remote Sensing data in corn fields. Hydrology Days, March 7–9, 2005.
Gentelle, P. 1992. Une géographie du mouvement: le désert du Taklimakan et ses environ comme modèle. Annales de Géographie.
Glantz, M.H. 1998. Creeping environmental problems and sustainable development in the Aral Sea basin. New York: Cambridge University Press.
Goetz, S.J., S.D. Prince, et al. 2000. Interannual variability in global terrestrial primary production: results of a model driven with satellite observations. Journal of Geophysical Research 105(D15): 20077–20091.
Goudie, A.S. 1990. Soil salinity—causes and controls. In: Goudie, A.S. (ed.), Techniques for Desert Reclamation, England: John Wiley and Sons, Ltd., 110–111.
Gupta, S.K., and I.C. Gupta. 1987. Land development and leaching. In: Gupta, S.K., and I.C. Gupta (eds.), Management of Saline Soils and Waters, New Dehli: Mohan Primlani, 136–152.
He, B., et al. 2001. 50 Year Climate Variation Analysis in Yutian County. Urumqi: Xinjiang University Press.
Huete, A.R. 1998. A soil adjusted vegetation index (SAVI). Remote Sensing of Environment 25: 295–309.
Huete, A.R., and C.J. Tucker. 1991. Investigation of soil influences in AVHRR red and near-infrared vegetation index imagery. Internation Journal of Remote Sensing 12 (6): 1223–1242.
Kaufman, Y.J., and C. Sendra. 1988. Algorithm for automatic atmospheric corrections to visible and near-IR satellite imagery. International Journal of Remote Sensing 9: 1357–1381.
Le Houérou, H.N. 1987. Aperçu écologique des déserts chinois. Société Biogéographie 63 (2): 35–69.
Li, C., et al. 1989. The sandy desert and its management in Xinjiang. In: Utilization and Development of Natural Resources in Arid and Semi-arid Lands. Beijing: Science Press.
Lillesand, T.M., and R.W. Kiefer. 1994. Remote Sensing and Image Interpretation. New York: John Wiley and Sons, Inc.
Mainguet, M. 1991. Some solutions to improve dryland agriculture. In: Mainguet, M. (ed.), Desertification: Natural Background and Human Mismanagement, Berlin: Springer-Verlag, 217–224.
Metternicht, G.I., and J.A. Zinck. 1997. Spatial discrimination of salt- and sodium-affected soil surfaces. International Journal of Remote Sensing 18 (2): 2571–2586.
Mougenot, B. 1993. Effect of salts on reflectance and remote sensing of salt affected soils. Cah Orstom, sér Pédol, Vol. XXVIII, No. 1: 45–54.
Moran, M.S., T.R. Clarke, et al. 1994. Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index. Remote Sensing of Environment 49: 246–263.
Postel, S. 1999. Pillar of Sand: Can the Irrigation Miracle Last? New York: W.W. Norton and Co.
Prince, S.D. 1991. Satellite remote sensing of primary production: comparison of results for Sahelian grasslands 1981–1988. International Journal of Remote Sensing 12 (6): 1301–1311.
Richter, R. 1996. A spatially adaptive fast atmospheric correction algorithm. International Journal of Remote Sensing 17 (6): 1201–1214.
Richter, R. 2005. Atmospheric/topographic correction for satellite imagery (ATCOR-2/3 User Guide, Version 6.1). DLG–German Aerospace Center, Remote Sensing Data Center, DLR IB 565-01/05, Wessling, Germany.
Robbins, C.W., and C.L. Wiegand. 1990. Field and laboratory measurements. In: American Society of Civil Engineering, Agricultural Salinity Assessment and Management, New York.
Rumer, B. 1999. Soviet Central Asia. Boston: Unwin Hyman.
Schilfgaarde, J.V. 1974. Drainage for salinity control. Drainage for Agriculture 17: 433–461.
Shi, Y., Z. Wang, et al. 1989. Glacial resources of the arid regions in Northwest China and their utilization. In: Zhao, S. (ed.), Utilization and development of natural resources in arid and semi-arid lands, Beijing: Science Press.
Slater, P.N., et al. 1987. Reflectance and radiance-based methods for the in-flight absolute calibration of multispectral sensors. Remote Sensing of Environment 22:11–37.
Stein, M.A. 1907. Ancient Khotan: Detailed Report of Archaeological Exploration in Chinese Turkestan, Vol 2, Oxford: Clarendon Press.
Srivastava, A., N.K. Tripathi, and K.V.G.K. Gokhale. 1997. Mapping groundwater salinity using IRS-1B LISS II data and GIS techniques. International Journal of Remote Sensing 18 (13): 2853–2862.
Statistical Office of Xinjiang. 2006. Xinjiang Statistical Book 2005. Beijing: China Statistical Publishing House.
UNESCO. 1997. Répartition mondiale des régions arides. Paris.
Wang, T. 1998. Desertification in Western China. In: Akiner, S., Tideman, S. and Hay, J. (eds.), Sustainable development in Central Asia. New York: Palgrave Macmillan, 261.
Wiegand, C.L., J.D. Rhoades, et al. 1994. Photographic and videographic observations for determining and mapping the response of cotton to soil salinity. Remote Sensing of Environment 49: 212–223.
Wilson, R.O., and P.T. Tueller. 1987. Aerial and ground spectral characteristics of rangeland plant communities in Nevada. Remote Sensing of Environment 23:177–191.
Xia, X. 1993. Wondrous Taklimakan. Integrated Scientific Investigation of the Taklimakan Desert. Beijing, New York, Shenzhen: Science Press.
Xie, X., and B. Mao. 1989. The development and management of the Tarim River. In: Zhao, S. (ed.), Utilization and development of natural resources in arid and semi-arid lands, Beijing: Science Press.
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Tashi, Y., Chamard, P.C., Courel, MF., Tiyip, T., Tuerxun, Y., Drake, S. (2010). The Recent Evolution of the Oasis Environment in the Taklimakan Desert, China. In: Schneier-Madanes, G., Courel, MF. (eds) Water and Sustainability in Arid Regions. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-2776-4_4
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