土壤水分是陆—气交互作用的重要边界条件,在全球水循环和能量循环中扮演着关键角色,直接影响降水、径流、下渗与蒸散发等水文循环过程,并能反映洪涝和干旱的程度。随着第一颗采用被动微波干涉成像技术的SMOS(Soil Moisture and Ocean S...土壤水分是陆—气交互作用的重要边界条件,在全球水循环和能量循环中扮演着关键角色,直接影响降水、径流、下渗与蒸散发等水文循环过程,并能反映洪涝和干旱的程度。随着第一颗采用被动微波干涉成像技术的SMOS(Soil Moisture and Ocean Salinity)卫星的发射成功,L波段被动微波遥感技术逐渐成为大尺度土壤水分监测的主要手段,促进了"射频干扰的检测与抑制"、"植被光学厚度反演与植被影响校正"以及"土壤粗糙度参数化方案"等关键问题的研究。本文梳理了"基于微波植被指数的L波段多角度数据反演土壤水分算法研究"项目的最新研究成果,同时评述了围绕以上关键技术问题所取得的国内外研究进展,并对土壤水分微波遥感的未来发展进行了展望。展开更多
The Chinese east coastal areas and marginal seas are foggy regions. The development of effective forecasting methods rests upon a comprehensive knowledge of the fog phenomena. This study provides new observations asso...The Chinese east coastal areas and marginal seas are foggy regions. The development of effective forecasting methods rests upon a comprehensive knowledge of the fog phenomena. This study provides new observations associated with the sea togs over the northwestern Yellow Sea by means of L-band radar soundings with a high vertical resolution of 30m. The monthly tem- perature lapse rate, the Richardson Nulnbers, and the humidity show obvious seasonal variations in the lower level of the planetary boundary layer （PBL） that are related to the onset, peak and end of the Yellow Sea fog season. The typical pattern of stratification for the sea fog season in the northwestern Yellow Sea is that a stable layer of about 400 m thick caps a 150 m conditionally unstable layer Besides, the differences between togs and stratus clouds in terms of humidity, turbulence and temperature are analyzed, which is of significance for sea fog forecast and detection by satellites. The thickness of the sea fogs varies in different stages of the fog season, and is associated with the temperature inversion. The numerical simulation proves that the seasonal variations obtained by the radar well represent the situations over the Yellow Sea.展开更多
Differential synthetic aperture radar interferometry (D-InSAR) can only measure one-dimensional surface displacements along the line-of-sight (LOS) direction which greatly inhibits its development and application.In t...Differential synthetic aperture radar interferometry (D-InSAR) can only measure one-dimensional surface displacements along the line-of-sight (LOS) direction which greatly inhibits its development and application.In this paper, we introduce a novel approach to measuring two-dimensional (2-D) surface displacements by exploiting a single InSAR pair, which is called multi-aperture InSAR (MAI) technology.We study the effects of baseline errors and the ionosphere on MAI technology and develop a directional filter and interpolator to minimize the ionospheric effects.A PALSAR image pair covering the 2010 Yushu earthquake is used to estimate the 2-D displacement fields of the earthquake using the MAI approach.The experimental results show that MAI is superior to conventional Offset-Tracking and therefore has great potential in co-seismic displacement measurement and source parameter inversion.展开更多
文摘土壤水分是陆—气交互作用的重要边界条件,在全球水循环和能量循环中扮演着关键角色,直接影响降水、径流、下渗与蒸散发等水文循环过程,并能反映洪涝和干旱的程度。随着第一颗采用被动微波干涉成像技术的SMOS(Soil Moisture and Ocean Salinity)卫星的发射成功,L波段被动微波遥感技术逐渐成为大尺度土壤水分监测的主要手段,促进了"射频干扰的检测与抑制"、"植被光学厚度反演与植被影响校正"以及"土壤粗糙度参数化方案"等关键问题的研究。本文梳理了"基于微波植被指数的L波段多角度数据反演土壤水分算法研究"项目的最新研究成果,同时评述了围绕以上关键技术问题所取得的国内外研究进展,并对土壤水分微波遥感的未来发展进行了展望。
基金the National Scientific and Technological R&D Program Nos 2006AA09Z149,GYHY200706031the Scientific and Technological R&D Program of Qingdao No05-2-NS-35
文摘The Chinese east coastal areas and marginal seas are foggy regions. The development of effective forecasting methods rests upon a comprehensive knowledge of the fog phenomena. This study provides new observations associated with the sea togs over the northwestern Yellow Sea by means of L-band radar soundings with a high vertical resolution of 30m. The monthly tem- perature lapse rate, the Richardson Nulnbers, and the humidity show obvious seasonal variations in the lower level of the planetary boundary layer （PBL） that are related to the onset, peak and end of the Yellow Sea fog season. The typical pattern of stratification for the sea fog season in the northwestern Yellow Sea is that a stable layer of about 400 m thick caps a 150 m conditionally unstable layer Besides, the differences between togs and stratus clouds in terms of humidity, turbulence and temperature are analyzed, which is of significance for sea fog forecast and detection by satellites. The thickness of the sea fogs varies in different stages of the fog season, and is associated with the temperature inversion. The numerical simulation proves that the seasonal variations obtained by the radar well represent the situations over the Yellow Sea.
基金supplied by the Japan Aerospace Exploration Agency(JAXA)(Grant Nos.AO-430 and AO-582)supported by National Natural Science Foun-dation of China(Grant Nos.40974006 and 40774003)+2 种基金National Basic Research Program of China(Grant No.2012CB719903)Research Grants Council(RGC)of the Hong Kong Special Administrative Region(Grant No.PolyU5146/11E)Scholarship Award for an Excellent Doctoral Student granted by the Ministry of Education of China(Grant No.085201001)
文摘Differential synthetic aperture radar interferometry (D-InSAR) can only measure one-dimensional surface displacements along the line-of-sight (LOS) direction which greatly inhibits its development and application.In this paper, we introduce a novel approach to measuring two-dimensional (2-D) surface displacements by exploiting a single InSAR pair, which is called multi-aperture InSAR (MAI) technology.We study the effects of baseline errors and the ionosphere on MAI technology and develop a directional filter and interpolator to minimize the ionospheric effects.A PALSAR image pair covering the 2010 Yushu earthquake is used to estimate the 2-D displacement fields of the earthquake using the MAI approach.The experimental results show that MAI is superior to conventional Offset-Tracking and therefore has great potential in co-seismic displacement measurement and source parameter inversion.
