Spatio-temporal pattern and changes of evapotranspiration in arid Central Asia and Xinjiang of China

Journal of Arid Land

Volumn 4, Issue 1, 2012, Pages 105-112

  Chen, Xi ^a   Li, Bailian ^a,b   Li, Qin ^c   Li, Junli ^a   Abdulla, Saparnov ^d  

^a XINJIANG INSTITUTE OF ECOLOGY AND GEOGRAPHY   (China)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF JINAN   (China)

^d Institute of Soil Science and Agricultural Chemistry   (Kazakhstan)

Author keywords

Arid areas; Central Asia; Evapotranspiration (ET); Remote sensing; SEBS model; Xinjiang of China

Indexed keywords

EID: 84860867743     PISSN: 16746767     EISSN: None     Source Type: Journal    
DOI: 10.3724/SP.J.1227.2012.00105     Document Type: Article

References (21)

1. Chen X. 2008. Land Use and Land Cover Change of Arid Land in China. Beijing: Science Press.
2. Cheng Y F, Wang G X, Xi H Y, et al. 2007. Middle reaches of Heihe River plain area in the recent 35 a study on changes of land surface evapotranspiration. Glaciology and Cryopedology, 293: 406-412.
3. Cui Y L, Xu Y X, Shao J L, et al. 2005. Using remote sensing method for surface steaming method in Yellow River Delta and its relationship with underlying surface. Earth Science Frontiers: Special Issue: 160-164.
4. Guo X Y, Cheng G D. 2004. Application of remote sensing technology to advances in research of land surface evapotranspiration. Progress in Earth Science, 21: 107-114.
5. Guo X Y. 2005. Distribution of evapotranspiration over Heihe River basin using remote sensing method. Progress in Natural Science, 1510: 1266-1270.
6. Jiang H, Liu Z H, Tang J, et al. 2006. Remote sensing technology in the evaporation study on the estimation of progress. Application Technology of Soil and Water Conservation, 3: 37-39.
7. Le J, Shafiqul I. 2001. Estimation of surface evaporation map over southern Great Plains using remote sensing data. Water Resources Research, 37(2): 329-340.
8. Liu J M, Wang Z, Diao Y W. 2006. Distributed model and its application in simulating watershed evapotranspiration and validation. Journal of Applied Ecology, 171: 45-50.
9. Liu S M. 2004. Based on the complementary principle of comparison of regional evapotranspiration estimation model. Geography, 593: 331-340.
10. Nishida K, Nemani R, Glassy J M, et al. 2003. Development of an evapotranspiration index from Aqua/MODIS for monitoring surface moisture status. IEEE Transactions on Geoscience and Remote Sensing, 41(21): 493-501.
11. Priestley C H B, Taylor R J. 1972. On the assessment of surface heat flux and evaporation using large scale parameters. Monthly Weather Review, 100: 81-92.
12. Qiu G, Shi P, Wang L. 2006. Theoretical analysis of a remotely measureable soil evaporation transfer coefficient. Remote Sensing of Environment, 101: 390-398.
13. Si X L, Yang Z Y, Yang Z L. 2003. Regional synthetic evapotranspiration calculation method. Hydrology, 234: 17-21.
14. Su Z. 2000. Remote sensing of land use and vegetation for mesoscale hydrological studies. International Journal of Remote Sensing, 21(2): 213-233.
15. Willem W V, Frank V, Jan F, et al. 2005. Estimation evapotanspiration of European forestes from NOAA-imagery at satellite overpass time: towards an operational processing chain for integrated optical and thermal sensor data products. Remote Sensing of Environment, 96: 256-276.
16. Willem W V, Frank V, Van D, et al. 2006. Soil moisture retrievalusing thermalinertia, determined with visible and thermal spaceborne data, validated for European forests. Remote Sensing of Environment, 101: 299-314.
17. Willem W V, Frank V, Jan F, et al. 2008. Assessment of evapotranspiration and soil moisture content across different scales of observation. Sensors, 8: 70-117.
18. Xu H, Li Y. 2005. Three kinds of desert shrub of the water policy and related physiological performance. Acta Botanica Sinica, 257: 1309-1316.
19. Yu G R, Sun X M. 2006. Principles of Flux Measurement in Terrestrial Ecosystems. Beijing: Higher Education Press.
20. Zhang R H, Sun X M, Zhu Z L, et al. 2002. Based on differential thermal inertia surface evaporation of remote sensing information model and its validation in Shapotou area, Gansu province. Science in China: Series D, 3212: 1041-1050.
21. Zhang X W, Zhang J B. 2006. Xinjiang Meteorological Manual. Beijing: Meteorological Press.