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光学信息分解被动微波土壤湿度方法

DOI: 10.3724/SP.J.1047.2012.00652, PP. 652-657

Keywords: TVDI,MODIS,土壤蒸散效率,被动微波,土壤湿度

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Abstract:

土壤水分是一个重要生态参量,以被动微波反演土壤水分,不受天气影响,且其算法成熟。但是星载被动微波数据的空间分辨率较低,可适合大区域尺度研究。本文将1km分辨率光学数据MODIS和25km分辨率被动微波数据AMSR-E2级土壤湿度产品结合,利用NDVI-Ts特征空间,去除植被影响,结合前人提出的裸土蒸散模型,将研究区被动微波土壤湿度数据分解,得到1km分辨率土壤体积含水量。将其反演结果与1km温度植被干旱指数(TVDI)进行趋势和数值比较,其相关性达到0.569。同时,利用实测样点的土壤重量含水量,与得到的1km分辨率土壤体积含水量数据进行比较,其增减趋势一致,结果具有可信度。但对定量结果尚需进一步验证和提高。

References

[1]  Crow W T & Zhan X. Continental-scale evaluation of remotely sensed soil moisture products[J]. IEEE Geoscience and Remote Sensing Letters, 2007,4(3):451-455.
[2]  Prigent C, Aires F, Rossow W B, et al. Sensitivity of satellite microwave and infrared observations to soil moisture at a global scale: Relationship of satellite observations to in situ soil moisture measurements[J]. Journal of Geophysical Research, 2005,110:D07110.
[3]  Wagner W, Bloschl G, Pampaloni P, et al. Operational readiness of microwave remote sensing of soil moisture for hydrologic applications[J]. Nordic Hydrology, 2007,38(1):1-20.
[4]  Pellenq J, Kalma J, Boulet G, et al. A disaggregation scheme for soil moisture based on topography and soil depth[J]. Journal of Hydrology, 2003, 276(1-4):112-127.
[5]  Kim G, Barros A P. Downscaling of remotely sensed soil moisture with a modified fractal interpolation method using contraction mapping and ancillary data[J]. Remote Sensing of Environment, 2002,83(3):400-413.
[6]  Zhan X, Houser P R, Walker J P, et al. A method for retrieving high-resolution surface soil moisture from hydros L-band radiometer and Radar observations[J]. Geoscience and Remote Sensing, IEEE Transactions, 2006, 44(6):1534-1544.
[7]  Chauhan N S, Miller S, Ardanuy P. Spaceborne soil moisture estimation at high resolution: a microwave-optical /IR synergistic approach[J]. International Journal of Remote Sensing, 2003,24(22):4599-4622.
[8]  Merlin O, Chehbouni A, Kerr Y, et al. A downscaling method for distributing surface soil moisture within a microwave pixel: Application to the Monsoon'90 data[J]. Remote Sensing of Environment, 2006,101:379-389.
[9]  Merlin O, Chehbouni A, Kerr Y. A combined modeling and multi-spectral/multi-resolution remote sensing approach for disaggregation of surface soil moisture: Application to SMOS configuration[J]. IEEE Transactions on Geoscience and Remote Sensing, 2005,43(9):2036-2050.
[10]  Merlin O, Walker J P, Chehbouni A, et al. Towards deterministic downscaling of SMOS soil moisture using MODIS derived soil evaporative efficiency[J]. Remote Sensing of Environment, 2008,112:3935-3946.
[11]  Merlin O, Bitar A, Walker J, et al. An improved algorithm for disaggregating microwave-derived soil moisture based on red, near-infrared and thermal-infrared data[J]. Remote Sensing of Environment, 2010,114:2305-2316.
[12]  Yang K, Koike T, Kaihotsu I, et al. Validation of a dual-pass microwave land data assimilation system for estimating surface soil moisture in semiarid regions[J]. Journal of Hydrometeorology, 2009,10:780-793.
[13]  王颖,宫辉力,赵文吉,等. 北京野鸭湖湿地资源变化特征[J]. 地理学报,2005,60(4):656-664.
[14]  Carlson T, Gillies R, Perry E. A method to make use of thermal infrared temperature and NDVI measurements to infer surface soil water content and fractional vegetation cover[J]. Remote Sensing Reviews, 1994,9:161-173.
[15]  Anderson M C, Norman J M, Mecikalski J R, et al. A climatological study of evapotranspiration and moisture stress across the continental united states based on thermal remote sensing: 2. surface moisture climatology[J]. Journal of Geophysical Research, 2007,112:D11112.
[16]  Nishida K, Nemani R R, Glassy J M, et al. Development of an evapotranspiration index from Aqua/MODIS for monitoring surface moisture status[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003,41(2): 493-501.
[17]  Carlson T N, Gillies R R, Schmugge T J. An interpretation of methodologies for indirect measurement of soil water content[J]. Agricultural and Forest Meteorology, 1995,77:191-205.
[18]  Price J C. The potential of remotely sensed thermal infrared data to infer surface soil moisture and evaporation[J]. Water Resources Research, 1980,16:787-795.
[19]  Gentine P, Entekhabi D, Chehbouni A, et al. Analysis of evaporative fraction diurnal behavior[J]. Agricultural and Forest Meteorology, 2007,143:13-29.
[20]  Komatsu T S. Towards a robust phenomenological expression of evaporation efficiency for unsaturated soil surfaces[J]. Journal of Applied Meteorology, 2003,42:1330-1334.
[21]  Thom A S and Oliver H R. On Penman's equation for estimating regional evaporation[J]. Journal of the Royal Meteorological Society,1977,103:345-357.
[22]  Sarwar A and Bill R. Mapping evapotranspiration in the Indus Basin using ASTER data[J]. International Journal of Remote Sensing, 2007,28:5037-5046.
[23]  Liu S, Mao D, Jia L. Evaluating parameterizations of aerodynamic resistance to heat transfer using field measurements[J]. Hydrology and Earth System Sciences, 2007,11:769-783.
[24]  Shangguan W, Dai Y, Liu B, et al. A soil particle-size distribution dataset for regional land and climate modeling in China[J]. Geoderma, 2012,171:85-92.
[25]  Sandholt I, Rasmussen K, Andersen J. A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status[J]. Remote Sensing of Environment, 2001,79:213-224.

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