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FARMLAND AND URBAN AREA DYNAMICS MONITORING INchina USING remote sensing AND SPATIALSTATISTICS METHODOLOGY

Chinese Geographical Science 2001年第1期11卷 42-49页

作者： LIU Ming-liang, ZHUANG Da-fang, LIU Ji-yuan (Institute of remote sensing Applications, the Chinese Academy of Sciences, beijing 100101, P. R.{3. Institute of Geographical Sciences and Natural Resources Research, the Chinese Academy of Sciences, Beij Institute of remote sensing Applications the Chinese Academy of Sciences Beijing P. R. China Institute of Geographical Sciences and Natural Resources Research the Chinese Academy of Sciences Beijing P. R. China

With the need in the global change research project for the land -use/land-cover change information, most international and regional research organization or groups have put amounts of efforts to improve of the dynamics monitoring and database updating techniques. With the pressure on nature environment from increasing population and decreasing farmland be- coming significant more and more in china, the farmland urban dynamics in historical and current times, even the change trends in the future, should be monitored and analyzed serving for regional and national social, economic and environmental sustain- able development in the long future. Based on spatial and temporal series of land -use/land-cover database resources, Chinese Academy of Sciences designed a sampling framework for monitoring farmland and urban area dynamics in regional and national level. In order to test the accuracy of the sampling schema for national and regional level, we took two provinces area into overall covered change detecting process with TM images data through being inter’Preted by {3.ization on the screen. The result shows that our stratified random sampling schema is suitable for monitoring land -use/land-cover change at national and regional level with quick response, high accuracy and low expenses. The land-use/land-cover change (LUCC) information can update the LUTEA database for global change research during certain period so that the forecasting process and evaluating analysis on land resources and environment under human and natural driving force will get essential data and produce valuable conclusions.

关键词： Land-use/Land-cover change spatial sampling scheme remote sensing

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Development of distributed time-variant gain model for nonlinear hydrological systems

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Science china Earth Sciences 2005年第6期48卷 713-723页

作者： XIA Jun1, 2, WANG Gangsheng1, TAN Ge1, YE Aizhong2 & G. H. Huang3.1. key laboratory of Water Cycle & Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, beijing 100101,{3. 2. State key laboratory of Water Resources & Hydropower Engineering Sciences, Wuhan University, Wuhan 43.072,{3. 3. Faculty of Engineering, University of Regina, 3.3. Wascana Parkway, Regina, Sask., S4S 0A2, Canada Correspondence should be addressed to Xia Jun key laboratory of Water Cycle & Related Land Surface Processes Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China State key laboratory of Water Resources & Hydropower Engineering Sciences Wuhan University Wuhan China Faculty of Engineering University of Regina Sask Canada

In this paper, a rainfall-runoff modeling system is developed based on a nonlinear Volterra functional series and a hydrological conceptual modeling approach. Two models, i.e. the time-variant gain model (TVGM) and the distributed time-variant gain model (DTVGM) that are built on the platform of digital Elevation Model (DEM), remote sensing (RS) and Unit Hydro-logical Process were proposed. The developed DTVGM model was applied to two cases in the Heihe River Basin that is located in the arid and semiarid region of northwestern{3. and the Chaobai River basin located in the semihumid region of northern{3.. The results indicate that, in addition to the classic dynamic differential approach to describe nonlinear processes in hy-drological systems, it is possible to study such complex processes through the proposed sys-tematic approach to identify prominent hydrological relations. The DTVGM, coupling the advan-tages of both nonlinear and distributed hydrological models, can simulate variant hydrological processes under different environment conditions. Satisfactory results were obtained in fore-casting the time-space variations of hydrological processes and the relationships between land use/cover change and surface runoff variation.

关键词： hydrological process, nonlinearity, time-variant gain model, distributed hydrological model.

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On MSDT inversion with multi-angle remote sensing data

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Science china Earth Sciences 2007年第3期50卷 422-429页

作者： FENG XiaoMing1,2 & ZHAO YingShi1 1 College of Resources and environment, Graduate University of the Chinese Academy of Sciences, beijing 100049, china 2 Institute of {3. sensing Applications, Chinese Academy of Sciences, beijing 100101, china College of Resources and environment Graduate University of the Chinese Academy of Sciences Beijing 100049 China Institute of remote sensing Applications Chinese Academy of Sciences Beijing 100101China College of Resources and environment Graduate University of the Chinese Academy of Sciences Beijing 100049 China

With the wavelet transform, image of multi-angle remote sensing is decomposed into multi-resolution. With data of each resolution, we try target-based multi-stages inversion, taking the inversion result of coarse resolution as the prior information of the next inversion. The result gets finer and finer until the resolution of satellite observation. In this way, the target-based multi-stages inversion can be used in remote sensing inversion of large-scaled coverage. With MISR data, we inverse structure parameters of vegetation in semiarid grassland of the Inner Mongolia Autonomous Region. The result proves that this way is efficient.

关键词： target-based multi-stages inversion multi-angle remote sensing wavelet transform

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Spatial pattern of land cover change in china's semiarid environment

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Journal of Arid Land 2009年第1期1卷 16-25页

作者： BaoLin LI1 and QiMing ZHOU2 1 State key laboratory of environment and Resources Information System, Institute of Geographical Sciences and Resources Research, Chinese Academy of Sciences, {3. 100101, china 2 Department of Geography, Hong Kong Baptist University, Kowloon Tong, Hong Kong, china State key laboratory of environment and Resources Information System Institute of Geographical Sciences and Resources Research Chinese Academy of Sciences Department of Geography Hong Kong Baptist University

This study seeks a routine to quantify spatial pattern of land cover changes in semiarid environment of china based on post-classification comparison method. The method consists of three major steps: (1) the image classification and unification of classified results based on two-level land cover classification themes, (2) the establishment of land cover change classes based on an unification land cover classification theme, (3. the reclassification and mapping of land cover change classes with three overall classes including no-change, gain and loss based on the unification land cover class. This method was applied to detect the spatial pattern of land cover changes in Yinchuan Plain, one of famous irrigation agricultural zones of the Yellow River, china. The results showed the land cover had undergone a remarkable change from 1991 to 2002 in the study area (the changed area was over 3.%). Rapid increase of cropland (12.5%), built-up area (13..4%) and rapid decrease of bare ground (51.7%) were alarming. The spatial pattern of land cover changes showed clear regional difference in the study area and was clearly related to human activities or natural factors. Thus, it obtained a better understanding of the human impact on the fragile ecosystem of china’s semiarid environment.

关键词： change detection spatial pattern land cover semiarid zone of china remote sensing human activities

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Object-oriented land cover classification using HJ-1 remote sensing imagery

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Science china Earth Sciences 2010年第S1期53卷 34-44页

作者： SUN ZhongPing1,SHEN WenMing1,WEI Bin1,LIU XiaoMan1,SU Wei2,ZHANG Chao2 & YANG JianYu2 1 Satellite environment Center,Ministry of environmental Protection,beijing 100094,{3. 2 College of Information and Electrical Engineering,{3. Agricultural University,beijing 100083.{3. Satellite environment Center Ministry of Environmental Protection Beijing China College of Information and Electrical Engineering China Agricultural University Beijing China

The object-oriented information extraction technique was used to improve classification accuracy,and addressed the problem that HJ-1 CCD remote sensing images have only four spectral bands with moderate spatial *** used two key techniques:the selection of optimum image segmentation scale and the development of an appropriate object-oriented information extraction *** the principle of minimizing merge cost of merging neighboring pixels/objects,we used spatial autocorrelation index Moran's I and the variance index to select the optimum segmentation *** Nearest Neighborhood(NN) classifier based on sampling and a knowledge-based fuzzy classifier were used in the object-oriented information extraction *** this classification step,feature optimization was used to improve information extraction accuracy using reduced data *** two techniques were applied to land cover information extraction for Shanghai city using a HJ-1 CCD *** indicate that the information extraction accuracy of the object-oriented method was much higher than that of the pixel-based method.

关键词： HJ-1 remote sensing imagery object-oriented optimum scale of image segmentation Nearest Neighborhood(NN) classification fuzzy classification

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Study on the Effects of Natural Factors on Water Conservation Capacity of Qilian Mountain

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Meteorological and environmental Research 2011年第11期2卷 46-48,63页

作者： GAN Xiao-li 1,SUN De-quan 1,2,3.ZHANG Lin-bo 2,3.JIA Qing-tang 2,3.1.School of Water Resources and environment,china University of Geosciences,beijing 100083.china 2.key laboratory of State environment Protection Regional Eco-process and Function Assessment,beijing 100012,china 3.Chinese Research Academy of environmental Sciences,beijing 100012,china

[Objective]The study aimed at analyzing the effects of natural factors on water conservation capacity of Qilian Mountain.[Method] Based on water conservation quantity,elevation data and SPOT-VEGETATION remote sensing data of Qilian Mountain in 2003.the relationship between water conservation quantity and influencing factors like elevation,slope,aspect and vegetation index varying greatly in the studied area was analyzed quantitatively by means of statistical method,and the effects of natural factors on water conservation capacity of Qilian Mountain were discussed on the basis of water conservation capacity.[Result]In water conservation district of Qilian Mountain,water conservation amount was higher in the region with elevation of 3.600-4 200 m or slope of 15°-40°;sunny slope (with slope of 90°-180°) and the area with high vegetation coverage had the strongest water conservation capacity.[Conclusion]The research could provide scientific references for the management of water resources and vegetation protection in Qilian Mountain.

关键词： Water conservation amount Qilian Mountain Water conservation capacity china

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Regional Yield Estimation of Summer Maize Based on Assimilation of remotely Sensed LAI into EPIC Model

Regional Yield Estimation of Summer Maize Based on Assimilat...

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2010 Second IITA International Conference on Geoscience and remote sensing (IITA-GRS 2010)

作者： Jianqiang REN1,2,Fushui YU1,2,Zhongxin CHEN1,2,,Jun QIN3.1 key laboratory of Resources remote-{3. & digital Agriculture,Ministry of Agriculture,beijing 100081,china 2 Institute of Agricultural Resources & Regional Planning,Chinese Academy of Agricultural Sciences,beijing 100081,china 3.Institute of Tibetan Plateau Research,Chinese Academy of Sciences,beijing 100085,china

In order to acquire more accurate crop yield information,the global optimization algorithm SCE-UA was used to integrate leaf area index derived from remote sensing with crop growth model EPIC to simulate regional summer maize yield and field management information in Huanghuaihai Plain in china. The results showed that the mean relative error of estimated summer maize yield was 4.3.% and RMSE was 0.44t/ha. Compared with the actual field observation data,the mean relative error of simulated sowing date,plant density and net nitrogen fertilization application rate was 1.85%,-7.78% and -10.60% respectively. These above simulated results could meet need of accuracy of crop growth simulation and yield estimation at regional scale. It was proved that integrating remotely sensed LAI with EPIC model based on SCE-UA for simulating regional summer maize yield and field management information was feasible and reliable.

关键词： data assimilation global optimization algorithm Crop growth model EPIC yield estimation remote sensing LAI

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Landscape distribution characteristics of northern foothill belts of Tianshan Mountains

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Journal of Geographical Sciences 2002年第1期12卷 23-28页

作者： CHENG Wei-ming, ZHOU Cheng-hu, TANG Qi-cheng, YAO Yong-huiZHANG Bai-ping (State key laboratory of Resources and environment Information System, Institute ofGeographic Sciences and Natural Resources Research, CAS, {3. 100101, china) State key laboratory of Resources and environment Information System Institute of Geographic Sciences and Natural Resources Research CAS Beijing China

The foothill belts of Tianshan Mountains are about 280 km long and 60 km wide, and the study area extends from Kuitun city to Fukang city. They are transitional belts between mountains and plains, appearing in three rows of folds with different morphologies and their age becoming younger from south to north. Based on GIS and RS methods, and materials of the previous researchers, this paper deals with the genetics of the foothill belts and their landscape features resulting from folding by neotectonic movements, and also describes their length, width and slope by remote sensing image interpretation. The characteristics of the foothill belts are found to be very important for the surrounding environment by preventing groundwater from flowing into plains, changing groundwater, increasing flow of surface runoff, in addition to their roles in protecting the surrounding environment. The purpose of this paper is to provide an in-depth understanding of the foothill belts and influence on its surrounding environment.

关键词： foothill belts foothill landscape geomorphic landscape geomorphic remote sensing Tianshan Mountains

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Macrophysical properties of specific cloud types from radiosonde and surface active remote sensing measurements over the ARM Southern Great Plains site

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Atmospheric and Oceanic Science Letters 2017年第1期10卷 29-35页

作者： ZHANG Jin-Qiang CHEN Hong-Bin key laboratory of Middle Atmosphere and Global environment Observation Center of Technical Support and Service IAPCA

Accurate observation of clouds is challenging because of the high variability and complexity of cloud types and *** using the long-term cloud data collected during the ARM program at the Southern Great Plains central facility during 2001-2010,the consistencies and differences in the macrophysical properties of clouds between radiosonde and ground-based active remote sensing are quantitatively evaluated according to six cloud types：low;mid-low（ML）;high-midlow;mid;high-mid（HM）;and high.A similar variability trend is exhibited by the radiosonde and surface observations for the cloud fractions of the six cloud ***,the magnitudes of the differences between the two methods are different among the six cloud types,with the largest difference seen in the high *** distribution of the cloud-base height of the ML,mid,and HM clouds agrees in both methods,whereas large differences are seen in the cloud-top height for the ML and high *** cloud thickness variations generally agree between the two datasets for the six cloud types.

关键词： Cloud macrophysical properties cloud types radiosonde remote sensing

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中国北方13.土地利用景观格局变化分析(19891999)

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水土保持学报 2005年第5期19卷 143-146页

作者：李月臣宫鹏陈晋刘春霞何春阳环境演变与自然灾害教育部重点实验室北京师范大学资源学院北京100875 遥感科学国家重点实验室中国科学院遥感应用研究北京100101 重庆师范大学地理科学学院重庆400047

以北方13.为研究区,对该区1989～1999年的宏观土地利用景观格局变化进行了分析.结果表明:决定该区景观格局的主体要素类型为草地、难利用地和林地,其次为耕地.1989～1999年期间,区内景观异质性程度在逐渐提高, 土地利用向着多样化和均... 详细信息

以北方13.为研究区,对该区1989～1999年的宏观土地利用景观格局变化进行了分析.结果表明:决定该区景观格局的主体要素类型为草地、难利用地和林地,其次为耕地.1989～1999年期间,区内景观异质性程度在逐渐提高, 土地利用向着多样化和均匀化方向发展.景观空间格局变化特征是:耕地、林地和城镇用地破碎度最大;林地、草地和水域受到人类活动的严重干扰,斑块空间分布不断分散和破碎化,分离度和破碎度指标增加.草地的破碎度增加最为显著,严重影响该区农牧业的正常生产.景观要素之间的转化关系主要表现为林、草地和耕地之间的相互转化,以及草地退化为难利用地.表征了该区生态建设实践和生态破坏活动的相互作用以及草地的严重退化趋势,说明北方13.存在较为严重生态环境问题,急需解决.

关键词：景观格局变化土地利用北方13.

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