Xiaoguang Jiang

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This letter presents a method to calculate the width ω over the half-period of the cosine term in a diurnal temperature cycle (DTC) model. ω deduced from the thermal diffusion equation (TDE) is compared with ω obtained from solar geometry. The results demonstrate that ω deduced from the TDE describes the shape of the DTC model more adequately around sunrise(More)
Coal fires are common and serious phenomena in most coal-producing countries in the world. Coal fires not only burn valuable non-renewable coal reserves but also severely affect the local and global environment. The Rujigou coalfield in Shizuishan City, Ningxia, NW China, is well known for being a storehouse of anthracite coal. This coalfield is also known(More)
1 University of Chinese Academy of Sciences, Beijing 100049, China; E-Mails: zhaoenyusdu@163.com (E.Z.); hongyuanh@gmail.com (H.H.) 2 Key Laboratory of Quantitative Remote Sensing Information Technology, Academy of Opto-Electronics, Chinese Academy of Sciences, Beijing 100094, China; E-Mail: caixiagao2010@hotmail.com 3 College of Geography and Planning,(More)
infrared data Xinhong Wang , Xiaoying OuYang , Zhao-Liang Li , Xiaoguang Jiang, Lingling Ma a. Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China. Email: xhwang@aoe.ac.cn b. Academy of Opto-electronics, Chinese Academy of(More)
Currently, the main difficulty in separating the land surface temperature (LST) and land surface emissivity (LSE) from field-measured hyperspectral Thermal Infrared (TIR) data lies in solving the radiative transfer equation (RTE). Based on the theory of wavelet transform (WT), this paper proposes a method for accurately and effectively separating LSTs and(More)
LiDAR (Light Detection And Ranging) remote sensing has been used to extract surface information as it can acquire highly accurate object shape characteristics using geo-registered 3D-points, and therefore, proven to be satisfactory for many applications, such as high-resolution elevation model generation, 3-D city mapping, vegetation structure estimation,(More)
Few studies have considered the spatiotemporal changes in wetland land cover based on type 2 fuzzy sets using long-term series of remotely sensed data. This paper presents an improved interval type 2 fuzzy c-means (IT2FCM*) approach to analyse the spatial and temporal changes in the geomorphology of the Beidagang wetland in North China from 1975 to 2015(More)