DOI: 10.5194/hess-19-4765-2015
Scopus记录号: 2-s2.0-84949257775
论文题名: Evaluation of soil moisture downscaling using a simple thermal-based proxy-the REMEDHUS network (Spain) example
作者: Peng J ; , Niesel J ; , Loew A
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2015
卷: 19, 期: 12 起始页码: 4765
结束页码: 4782
语种: 英语
Scopus关键词: Atmospheric temperature
; Climate change
; Complex networks
; Geostationary satellites
; Image reconstruction
; Image resolution
; Land use
; Moisture
; Radiometers
; Remote sensing
; Satellite imagery
; Satellites
; Sensitivity analysis
; Soil moisture
; Soils
; Vegetation
; Agriculture monitoring
; Meteosat second generations
; Microwave remote sensing
; Moderate resolution imaging spectroradiometer
; Satellite soil moisture
; Spatial and temporal resolutions
; Spinning Enhanced Visible and Infrared Imager
; Vegetation temperature condition index
; Soil surveys
; accuracy assessment
; comparative study
; land cover
; land use change
; Meteosat
; model validation
; MODIS
; optimization
; performance assessment
; remote sensing
; satellite data
; soil moisture
; spatiotemporal analysis
; topography
; Spain
英文摘要: Soil moisture retrieved from satellite microwave remote sensing normally has spatial resolution on the order of tens of kilometers, which are too coarse for many regional hydrological applications such as agriculture monitoring and drought prediction. Therefore, various downscaling methods have been proposed to enhance the spatial resolution of satellite soil moisture products. The aim of this study is to investigate the validity and robustness of the simple vegetation temperature condition index (VTCI) downscaling scheme over a dense soil moisture observational network (REMEDHUS) in Spain. First, the optimized VTCI was determined through sensitivity analyses of VTCI to surface temperature, vegetation index, cloud, topography, and land cover heterogeneity, using data from Moderate Resolution Imaging Spectroradiometer∼(MODIS) and MSG SEVIRI (METEOSAT Second Generation-Spinning Enhanced Visible and Infrared Imager). Then the downscaling scheme was applied to improve the spatial resolution of the European Space Agency's Water Cycle Multi-mission Observation Strategy and Climate Change Initiative (ESA CCI) soil moisture, which is a merged product based on both active and passive microwave observations. The results from direct validation against soil moisture observations, spatial pattern comparison, as well as seasonal and land use analyses show that the downscaling method can significantly improve the spatial details of CCI soil moisture while maintaining the accuracy of CCI soil moisture. The accuracy level is comparable to other downscaling methods that were also validated against the REMEDHUS network. Furthermore, slightly better performance of MSG SEVIRI over MODIS was observed, which suggests the high potential of applying a geostationary satellite for downscaling soil moisture in the future. Overall, considering the simplicity, limited data requirements and comparable accuracy level to other complex methods, the VTCI downscaling method can facilitate relevant hydrological applications that require high spatial and temporal resolution soil moisture. © 2015 Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78371
Appears in Collections: 气候变化事实与影响
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作者单位: Max Planck Institute for Meteorology, Hamburg, Germany; Department of Geography, University of Munich (LMU), Munich, Germany
Recommended Citation:
Peng J,, Niesel J,, Loew A. Evaluation of soil moisture downscaling using a simple thermal-based proxy-the REMEDHUS network (Spain) example[J]. Hydrology and Earth System Sciences,2015-01-01,19(12)