作者机构：
[Li, Jianyong; Dodson, John; Li, JY; Dodson, J; Yan, Hong; Lu, Fengyan] Chinese Acad Sci, State Key Lab Loess & Quaternary Geol, Inst Earth Environm, Xian 710075, Peoples R China.;[Dodson, John] Univ New South Wales, Sch Biol Earth & Environm Sci, Sydney, NSW 2033, Australia.;[Zhang, David D.; Lee, Harry F.] Univ Hong Kong, Dept Geog, Pokfulam Rd, Hong Kong, Hong Kong, Peoples R China.;[Zhang, David D.; Lee, Harry F.] Univ Hong Kong, Int Ctr China Dev Study, Pokfulam Rd, Hong Kong, Hong Kong, Peoples R China.;[Zhang, Xiaojian] Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210093, Jiangsu, Peoples R China.
摘要：
Our understanding on the spatial-temporal patterns of climatic variability over the last few millennia in the East Asian monsoon-dominated northern China (NC), and its role at a macro-scale in affecting the prosperity and depression of Chinese dynasties is limited. Quantitative high-resolution, regionally-synthesized palaeoclimatic reconstructions as well as simulations, and numerical analyses of their relationships with various fine-scale, numerical agro-ecological, social-economic, and geo-political historical records during the period of China's history, are presented here for NC. We utilize pollen data together with climate modeling to reconstruct and simulate decadal- to centennial-scale variations in precipitation or temperature for NC during the last 2200 years (-200-2000 AD). We find an overall cyclic-pattern (wet/warm or dry/cold) in the precipitation and temperature anomalies on centennial- to millennial-scale that can be likely considered as a representative for the entire NC by comparison with other related climatic records. We suggest that solar activity may play a key role in driving the climatic fluctuations in NC during the last 22 centuries, with its quasi similar to 100, 50, 23, or 22-year periodicity clearly identified in our climatic reconstructions. We employ variation partitioning and redundancy analysis to quantify the independent effects of climatic factors on accounting for the total variation of 17 fine-grained numerical Chinese historical records. We quantitatively illustrate that precipitation (67.4%) may have been more important than temperature (32.5%) in causing the overall agro-ecological and macro-geopolitical shifts in imperial China with NC as the central ruling region and an agricultural heartland over the last 2200 years. (C) 2017 Elsevier Ltd. All rights reserved.
期刊：
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives,2016年41(B3):65-69 ISSN：1682-1750
通讯作者：
Li, C.
作者机构：
[Li, C.] Key Lab Geog Proc Anal & Simulat, Wuhan, Hubei Province, Peoples R China.;[Li, C.; Liu, X. J.] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Peoples R China.;[Deng, T.] Cent China Normal Univ, Sch Fine Arts, Wuhan, Peoples R China.
通讯机构：
[Li, C.] K;[Li, C.] C;Key Lab Geog Proc Anal & Simulat, Wuhan, Hubei Province, Peoples R China.;Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Peoples R China.
会议名称：
23rd Congress of the International-Society-for-Photogrammetry-and-Remote-Sensing (ISPRS)
会议时间：
JUL 12-19, 2016
会议地点：
Prague, CZECH REPUBLIC
会议主办单位：
[Li, C.] Key Lab Geog Proc Anal & Simulat, Wuhan, Hubei Province, Peoples R China.^[Li, C.;Liu, X. J.] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Peoples R China.^[Deng, T.] Cent China Normal Univ, Sch Fine Arts, Wuhan, Peoples R China.
会议论文集名称：
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
关键词：
RFM;High-resolution satellite imagery;over-parameterization;overcorrection;stepwise regression;orthogonal distance regression;Fourier series fitting
摘要：
Over-parameterization and over-correction are two of the major problems in the rational function model (RFM). A new approach of optimized RFM (ORFM) is proposed in this paper. By synthesizing stepwise selection, orthogonal distance regression, and residual systematic error correction model, the proposed ORFM can solve the ill-posed problem and over-correction problem caused by constant term. The least square, orthogonal distance, and the ORFM are evaluated with control and check grids generated from satellite observation Terre (SPOT-5) high-resolution satellite data. Experimental results show that the accuracy of the proposed ORFM, with 37 essential RFM parameters, is more accurate than the other two methods, which contain 78 parameters, in cross-track and along-track plane. Moreover, the over-parameterization and over-correction problems have been efficiently alleviated by the proposed ORFM, so the stability of the estimated RFM parameters and its accuracy have been significantly improved.
作者：
Li, C.;Zhu, Y. J.;Li, G. E.;Zhu, Y. Q.;Li, R. H.;...
期刊：
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives,2016年41(B8):947-951 ISSN：1682-1750
通讯作者：
Wu, Y. J.
作者机构：
[Li, C.; Wu, Y. J.] Key Lab Geog Proc Anal & Simulat, Wuhan, Hubei Province, Peoples R China.;[Li, C.; Zhu, Y. J.; Li, G. E.; Wu, Y. J.] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Peoples R China.;[Li, R. H.; Wang, L.] Changjiang Soil & Water Conservat Monitoring Ctr, Wuhan, Peoples R China.
通讯机构：
[Wu, Y. J.] K;[Wu, Y. J.] C;Key Lab Geog Proc Anal & Simulat, Wuhan, Hubei Province, Peoples R China.;Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Peoples R China.
会议名称：
23rd Congress of the International-Society-for-Photogrammetry-and-Remote-Sensing (ISPRS)
会议时间：
JUL 12-19, 2016
会议地点：
Prague, CZECH REPUBLIC
会议主办单位：
[Li, C.;Wu, Y. J.] Key Lab Geog Proc Anal & Simulat, Wuhan, Hubei Province, Peoples R China.^[Li, C.;Zhu, Y. J.;Li, G. E.;Wu, Y. J.] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Peoples R China.^[Li, R. H.;Wang, L.] Changjiang Soil & Water Conservat Monitoring Ctr, Wuhan, Peoples R China.
会议论文集名称：
International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences
关键词：
Soil and Water Loss;Intensity Estimation;Dynamic Interpretation;Spatial Analysis;Uncertainty;Quality Control
摘要：
Water and soil loss problems are serious in China, especially in the upper and middle reaches of big rivers. This paper dynamically observed water and soil loss in key control regions in Jialing River Basin. Based on remotely sensed images, the method used in this paper is a combination of field investigation and indoor artificial interpretation under the technologies of RS and GIS. The method was proven to be effective of improving the accuracy of interpreting. The result shows the land use types of the researched regions and how they changed among the previous years. Evaluation of water and soil conservation was made. This result can provide references for further policy-making and water and soil loss controlling.
作者机构：
[李畅] Hubei Province Key Laboratory for Geographical Process Analysing &, Modelling, Central China Normal University, Wuhan, 430079, China;[董才林] School of Mathematics and Statistics, Central China Normal University, Wuhan, 430079, China;[马浩] School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China;[李畅] College of Urban and Environmental Science, Central China Normal University, Wuhan, 430079, China
通讯机构：
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China
作者机构：
[Hongchen Wang] Research Institute of Scientific and Technological Development, Wuhan University, Wuhan, Hubei, China;[Chang Li; Yanping Zheng] College of Urban and Environmental Science, Central China Normal University, Wuhan, Hubei, China
通讯机构：
[Chang Li] C;College of Urban and Environmental Science, Central China Normal University, Wuhan, Hubei, China
摘要：
On the basis of sufficient understanding about the general situation of the Lu’an planning area, Anhui Province, this paper uses strengths weakness opportunity threats (SWOT) analysis to analyze the internal and external factors of the development of the planning area itself; then it analyzes the industrial cluster situation in the planning area, and uses GIS space analysis to analyze the industry status of the planning area, integrating it with the geographic space expression to provide references for formulating the economic development program of the Lu’an planning area.
作者机构：
[李畅] Key Lab. of Disaster Reduction and Emergency Response Eng. of the Ministry of Civil Affairs, Beijing 100124, China;[孙明伟] School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China;[李奇] Center for Earth Observation and Digital Earth Chinese Academy of Sciences, Airborne Remote Sensing Center, Beijing 100101, China;[王欢] Investment Dept. of The Third Construction Eng. Ltd. Liability Co. of China Constr. Third Eng. Bur., Wuhan 430074, China;[王欢; 李畅] College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China
通讯机构：
Key Lab. of Disaster Reduction and Emergency Response Eng. of the Ministry of Civil Affairs, China
期刊：
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2014年11(8):1394-1398 ISSN：1545-598X
通讯作者：
Li, Chang
作者机构：
[Li, Chang] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.;[Li, Chang] Minist Civil Affairs China, Key Lab Disaster Reduct & Emergency Response Engn, Beijing 100124, Peoples R China.;[Shi, Wenzhong] Hong Kong Polytech Univ, Joint Spatial Informat Res Lab, Hong Kong, Hong Kong, Peoples R China.;[Shi, Wenzhong] Wuhan Univ, Wuhan 430079, Peoples R China.
通讯机构：
[Li, Chang] C;Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.
关键词：
Generalized-line-based iterative transformation model (GLBITM);ground control lines (GCLs);imagery registration;iterative method with variable weights;polynomial model;posterior variance estimation
摘要：
Imagery registration and rectification is a process of transforming different sets of data into one coordinate system. A new model, i.e., the generalized-line-based iterative transformation model (GLBITM), is proposed by integrating the line-based transformation model (LBTM) and generalized point photogrammetry (GPP). First, the initial value of an affine transformation is acquired by LBTM. Then, on the basis of ground control lines (GCLs), not ground control points, the linear feature adjustment model with GPP is extended to a quadratic polynomial model and utilized to iteratively solve transformation coefficients. This process eliminates the translation amount and recalculates the scale and rotation coefficients. The authors suggest an iterative method with variable weights that is based on posterior variance estimation to improve quality control. A significant characteristic of the GLBITM is that the two endpoints of the corresponding GCLs are not necessarily conjugate points. The GLBITM integrates the advantages of the LBTM and GPP and avoids their respective shortfalls. Finally, this experiment verifies that the GLBITM gives correct, robust, and effective results that can be applied in high-resolution satellite imagery processing of multiple sensors, angles, and resolutions.
期刊：
IOP Conference Series: Earth and Environmental Science,2014年17(1) ISSN：1755-1307
通讯作者：
Zhou, Wei
作者机构：
[Li, Qi; Zhou, Wei] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, 9 Dengzhuang South Rd, Beijing 100094, Peoples R China.;[Li, Chang] Huazhong Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.
通讯机构：
[Zhou, Wei] C;Chinese Acad Sci, Inst Remote Sensing & Digital Earth, 9 Dengzhuang South Rd, Beijing 100094, Peoples R China.
会议名称：
35th International Symposium on Remote Sensing of Environment (ISRSE35)
会议时间：
APR 22-26, 2013
会议地点：
Inst Remote Sensing & Digital Earth, Beijing, PEOPLES R CHINA
会议主办单位：
Inst Remote Sensing & Digital Earth
会议论文集名称：
IOP Conference Series-Earth and Environmental Science
摘要：
Small-Footprint Airborne LiDAR(light detection and ranging) remote sensing is a breakthrough technology for deriving forest canopy structural characteristics. Because the technique is relatively new as applied to canopy measurement in China, there is a tremendous need for experiments that integrate field work, LiDAR remote sensing and subsequent analyses for retrieving the full complement of structural measures critical for forestry applications. Data storage capacity and high processing speed available today have made it possible to digitally sample and store the entire reflected waveform, instead of only extracting the discrete coordinates which form the so-called point clouds. Return waveforms can give more detailed insights into the vertical structure of surface objects, surface slope, roughness and reflectivity than the conventional echoes. In this paper, an improved Expectation Maximum (EM) algorithm is adopted to decompose raw waveform data. Derived forest biophysical parameters, such as vegetation height, subcanopy topography, crown volume, ground reflectivity, vegetation reflectivity and canopy closure, are able to describe the horizontal and vertical forest canopy structure.
期刊：
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2014年11(1):210-214 ISSN：1545-598X
通讯作者：
Hao, Ming
作者机构：
[Zhang, Hua; Hao, Ming] China Univ Min & Technol, Sch Environm Sci & Spatial Informat, Xuzhou 221116, Peoples R China.;[Shi, Wenzhong] Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hong Kong, Hong Kong, Peoples R China.;[Li, Chang] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.
通讯机构：
[Hao, Ming] C;China Univ Min & Technol, Sch Environm Sci & Spatial Informat, Xuzhou 221116, Peoples R China.
关键词：
Expectation-maximization (EM);level set method;remote sensing;unsupervised change detection
摘要：
The level set method, because of its implicit handling of topological changes and low sensitivity to noise, is one of the most effective unsupervised change detection techniques for remotely sensed images. In this letter, an expectation-maximization-based level set method (EMLS) is proposed to detect changes. First, the distribution of the difference image generated from multitemporal images is supposed to satisfy Gaussian mixture model, and expectation-maximization (EM) is then used to estimate the mean values of changed and unchanged pixels in the difference image. Second, two new energy terms, based on the estimated means, are defined and added into the level set method to detect those changes without initial contours and improve final accuracy. Finally, the improved level set method is implemented to partition pixels into changed and unchanged pixels. Landsat and QuickBird images were tested, and experimental results confirm the EMLS effectiveness when compared to state-of-the-art unsupervised change detection methods.
