NIR-red spectral space based new method for soil moisture monitoring

Science in China, Series D: Earth Sciences

Volumn 50, Issue 2, 2007, Pages 283-289

  Zhan, ZhiMing ^a,b   Qin, QiMing ^a   Ghulan, Abduwasit ^a   Wang, DongDong ^a  

^a PEKING UNIVERSITY   (China)

^b Environmental Protection Bureau of Dongcheng District   (China)

Author keywords

NIR red spectral space; Quantitative remote sensing; Remote monitoring of soil moisture; Soil drought; Soil moisture

Indexed keywords

DROUGHT; EVAPOTRANSPIRATION; REMOTE SENSING; SPECTRUM ANALYSIS; TRIANGULATION;

NEAR-INFRARED-RED SPECTRAL REFLECTANCE; SOIL MOISTURE MONITORING; SPATIAL DISTRIBUTION;

SOIL MOISTURE;

DROUGHT; NEAR INFRARED; REMOTE SENSING; SOIL MOISTURE; SPECTRAL REFLECTANCE;

EID: 33847108515     PISSN: 10069313     EISSN: 18622801     Source Type: Journal    
DOI: 10.1007/s11430-007-2004-6     Document Type: Article

References (31)

1. Xiao Q G, Chen W Y, Sheng Y W, et al. A study on soil moisture monitoring using NOAA satellite. Quart J Appl Meteorol (in Chinese), 1994, 5(2): 312-317
2. Liu P J, Zhang L, Kurban A, et al. A method for monitoring soil water contents using satellite remote sensing. J Remote Sens (in Chinese), 1997, 1(2): 135-138
3. Waston K, Rowen L C, Offield T W. Application of thermal modeling in geologic interpretation of IR images. Remote Sens Environ, 1971, 3: 2017-2041
4. Price J C. Thermal inertia mapping: A new view of the earth. J Geophys Res, 1977, 82: 2582-2590
5. Price J C. On the analysis of thermal infrared imagery: The limited utility of apparent thermal inertia. Remote Sensing Environ, 1985, 18: 59-93
6. Kahle A B. A simple thermal model of the Earth's surface for geologic mapping by remote sensing. J Geophys Res, 1977, 82: 1673-1680
7. England A W. Radiobrightness of diurnally heated freezing soil. IEEE Trans Geosci Remote Sensing, 1990, 28(3): 464-476
8. England A W, Galantowicz J F, Schretter M S. The radio brightness thermal inertia measure of soil moisture. IEEE Trans Geosci Remote Sensing, 1992, 30(1): 132-139
9. Zhang R H. A remote sensing thermal inertia model for soil moisture and its application. Chin Sci Bull, 1992, 37: 306-311
10. Tian G L. A method for remote monitoring of soil moisture. Remote Sens Environ (China) (in Chinese), 1991, 6(2): 89-99
11. Yu T, Tian G L. The application of thermal inertia method the monitoring of soil moisture of north China plain based on NOAA/AVHRR data. J Remote Sens (in Chinese), 1997, 1(1): 24-31
12. Jackson R D, Idso S B. Canopy temperature as a crop water stress indicator. Water Resour Res 1981, 17: 133-138
13. Tian G L, Yang X H, Zheng K. Remote sensing model for wheat drought monitoring. Remote Sens Environ (China) (in Chinese), 1992, 7(2): 83-89
14. Wigneron J P, Calvet J C, Pellarin T. et al. Retrieving near-surface soil moisture from microwave radiometric ovservations: Current status and future plans. Remote Sens Environ, 2003, 85: 489-506
15. Huisman J A, Hubbard S S, Redman J D, et al. Measuring soil water content with ground penetrating radar: A review. Vadose Zone Journal, 2003, 2: 476-491
16. Cashion J, Lakshmni V, Bosch D, et al. Microwave remote sensing of soil moisture: Evaluation of the TRMM microwave imager (TMI) satellite for Little River Watershed Tifton, Georgia. J Hydrol, 2005, 307: 242-253
17. Jin Y Q. Data analysis of the spaceborne SSM/I over crop areas of the Northern China. J Remote Sensing (in Chinese), 1998, 2(1): 19-25
18. Wang C, Qi J, Moran S, et al. Soil moisture estimation in a semiarid rangeland using ERS-2 and TM imagery. Remote Sens Environ, 2004, 90: 178-189
19. Goward S N, Hope A S. Evaporation from combined reflected solar and emitted terrestrial radiation:pReliminary FIFE results from AVHRR data. Adv Space Res, 1989, 9: 239-249
20. Price J C. Using spatial context in satellite data to infer regional scale evaportranspiration. IEEE Trans Geosci Remote Sensing, 1990, 28: 940-948
21. Ridd M K. Exploring a V-I-S (vegetation-impervious surface-soil) model for urban ecosystem analysis through remote sensing: Comparative anatomy for citied. Int J Remote Sens, 1995, 16: 2165-2185
22. Gillies R R, Carlson T N. Thermal remote sensing of surface soil water content with partial vegetation cover for incorporation into climate models. J App Meteorol, 1995, 34: 745-756
23. Gillies R R, Carlson T N, Cui J. et al. A verification of the 'triangle method for obtaining surface soil water content and energy fluxes from remote measurements of the normalized difference vegetation index (NDVI) and surface radiant temperature. Int J Remote Sens, 1997, 18(5): 3145-3166
24. s space by combining LAI and evapotranspiration. Sci China Ser D-Earth Sci, 2006, 49(7): 747-754
25. Wang P X, Wan Z, Gong J, et al. Advances in drought monitoring by using remotely sensed normalized difference vegetation index and land surface temperature products. Adv Earth Sci (in Chinese), 2003, 18(8): 527-533
26. Wang P X, Gong J Y, Li X W. Vegetation temperature condition index and its application for drought monitoring. Geomet Inf Sci Wuhan Uni (in Chinese), 2001, 26: 412-418
27. Ghulam A, Qin Q, Wang L., et al. Development of Broadband Albedo Based Ecological Safety Monitoring Index. In: Proceedings of 2004 IEEE Int Geosci Remote Sens Symp (IGARSS), September 20-24, 2004, Anchorage, Alaska, Egan Convention Center, USA, VI:4115-4118
28. Zhao W J, Tamura M, Takahashi H. Atmospheric and Spectral Corrections for Estimating Surface Albedo from Satellite Data Using 6S Code. Remote Sens Environ, 2000, 76: 202-212
29. Richardson A J, Wiegand C L. Distinguishing vegetation from soil background information. Photogramm Eng Remote Sens, 1977, 43(12): 1541-1552
30. Li X, Dong W. Methods research on monitoring drought by using remote sensing and GIS. Remote Sens Technol Appl (in Chinese), 1996, 11(3): 7-15.
31. Guo N, Chen T Y, Lei J Q., et al. Estimating farmland soil moisture in eastern Gansu province using NOAA satellite data. Quart J Appl Meteorol (in Chinese), 1997, 8(2): 212-218