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Spectral response of rice(Oryza sativa L.) leaves to Fe^(2.) stress

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Science china(Life Sciences) 2009年第8期52卷 747-753页

作者： CHI GuangYu1,2.CHEN Xin1,SHI Yi1 & LIU XinHui3.1 Key Laboratory of Terrestrial Ecological Process,Institute of Applied Ecology,Chinese Academy of Sciences,Shenyang 110016,china 2.Graduate School of Chinese Academy of Sciences,{3. 100049,china 3.State Key Joint Laboratory of Environmental Simulation and Pollution Control,School of Environment,{3. normal university,{3. 1.0875,china Key Laboratory of Terrestrial Ecological Process Institute of Applied Ecology Chinese Academy of Sciences Shenyang 110016 China Graduate School of Chinese Academy of Sciences Beijing 100049 China State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Beijing Normal University Beijing 100875 China

In the management of lake eutrophication,the regulation effect of Fe is considered,in addition to the controlling nitrogen-and phosphorus *** on the "Fe hypothesis",this paper tentatively applied plant spectral response to the remote sensing early-warning mechanism of lake eutrophication.A laboratory water culture experiment with rice(Oryza sativa L.) was conducted to study Fe uptake by plants and the chlorophyll concentration and visible-near infrared spectrum of vegetable leaves as well as their interrelations under Fe{1. *** spectral indices,i.e.,A1.integral value of the changes of spectral reflectivity in the range 460―670 nm under Fe{1. stress),A{1.integral value of the changes of spectral reflectivity in the range of 760―1.00 nm under Fe{1. stress) and S(blue-shift range of red edge curve under Fe{1. stress),were used to establish quantitative models about the relationships between the rice leaf spectrum and Fe{1. *** the increase of Fe{1. in a culture solution,the Fe content in rice plants increased,while the chlorophyll concentration in vegetative leaves *** spectral reflectivity of vegetable leaves increased in the visible light band but decreased in the near infrared band,and the blue-shift range of the red edge curve *** indices A1.A{1.and S all had significant correlations with the Fe content in rice leaves,the correlation coefficient being respectively 0.951.P 1.,?0.988(P 1. and 0.851.P 1.,and simulated(multiple correlation coefficients R{1.> 0.96) and predict the Fe level in rice leaves.

关键词： rice(Oryza sativa L.) spectrum Fe2. lake eutrophication

Ontology-based analysis of multi-scale modeling of geographical features

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Science china(Technological Sciences) 2006年第z2期49卷 121-131页

作者： WANG Yanhui, LI Xiaojuan & GONG Huili Key Laboratory of Three-Dimensional Information Acquisition and Application, Ministry of Education, Capital normal {1., {2. 1.003.,{3. {2. Key Laboratory of Resource Environment and gis, Capital normal {1., {2. 1.003.,{3. Capital normal Univ Minist Educ Key Lab Dimens Informat Acquisit & Applicat 3 Beijing 100037 Peoples R China Capital normal Univ Beijing Key Lab Resource Environm Beijing 100037 Peoples R China Capital normal Univ GIS Beijing 100037 Peoples R China

As multi-scale databases based on scale series of map data are built, conceptual models are needed to define proper multi-scale representation formulas and to extract model entities and the relationships among them. However, the results of multi-scale conceptual abstraction schema may differ, according to which cognition, abstraction and application views are utilized, which presents an obvious obstacle to the reuse and sharing of spatial data. To facilitate the design of unified, common and objective abstract schema views for multi-scale spatial databases, this paper proposes an ontology-based analysis method for the multi-scale modeling of geographical features. It includes a three-layer ontology model, which serves as the framework for common multi-scale abstraction schema; an explanation of formulary abstractions accompanied by definitions of entities and their relationships at the same scale, as well as different scales,which are meant to provide strong feasibility, expansibility and speciality functions; and a case in point involving multi-scale representations of road features, to verify the method's feasibility.

关键词： multi-scale representation, ontology-based analysis, multi-scale data modeling, hierarchical ontology.

4D and application of land reclamation in mining area

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中国有色金属学会会刊：英文版 2005年第S1期15卷 49-52页

作者： XIE Hong-quan~(1,2.), HU Zhen-qi~1, JING Hai-tao~3. GAO Yong-jiu~(4), CHEN Qiu-ji~(5), FENG Zhong-ke~(6) (1. china university of Mining and Technology({2. Campus), {2. 100083. china 2. Hebei Polytechnic university, Tangshan 063.09, china 3. Xuzhou normal university, Xuzhou 2.1009, china 4. Tangshan Branch, china Coal Research Institute, Tangshan 063.12. china 5. Henan Polytechnic university, Jiaozuo 454000, china 6. {2. Forestry university, {2. 100083. china) china Univ Min & Technol Beijing 100083 Peoples R China Hebei Polytech Univ Tangshan 063009 Peoples R China Xuzhou normal Univ Xuzhou 221009 Peoples R China china COal Res Inst Tangshan Branch Tangshan 063012 Peoples R China Henen Polytech Univ Jiaozuo 454000 Peoples R China beijing Forestry Univ Beijing 100083 Peoples R China

4D products are basic mode of digitized products that are made by combining model remote sensing with {1. technology, and have already brought everybody’s high recognition. Coal mining makes great destroy to land of coal mining area, and ecological environment becomes worse, therefore land reclamation of mining area has already turned into investigated emphases. 4D meaning is briefly introduced, and its six characteristics are expounded in this paper. Production technique and application status of 4D are summarized, and existed problems are analyzed in developed aspect. Land reclamation of mining area is a complex system engineering, and application of 4D products can be impenetrated in whole process. Otherwise 4D has broad application scope in land management of mining area and mine information construction. Compound of remote sensing and DTM can be apply to solve mine survey, monitor of surface and marginal slope and so on.

关键词： 4D produce land reclamation remote sensing image data resource

Eco-Environmental Vulnerability Evaluation in the Yellow River Basin,china

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Pedosphere 2008年第2期18卷 171-182页

作者： WANG Si-Yuan LIU Jing-Shi YANG Cun-Jian Institute of Tibetan Plateau Research Chinese Academy of Sciences Beijing 100085 （China） Institute of Electronics Chinese Academy of Sciences Beijing 100080 （China） Centre of RS and gis Applications Sichuan Normal University Chengdu 610066 （China）

Using remote sensing(RS)data and geographical information system({1.),eco-environmental vulnerability and its changes were analyzed for the Yellow River Basin,*** objective of this study was to improve our understanding of eco-environmental changes so that a strategy of sustainable land use could be *** environmental numerical model was developed using spatial principal component analysis(SPCA)*** model contains twelve factors that include variables of land use,soil erosion,topography,climate,and *** this model,synthetic eco- environmental vulnerability index(SEVI)was computed for 1.90 and 2.00 for the Yellow River *** SEVI was classified into six levels,potential,slight,light,medium,heavy,and very heavy,following the natural breaks classification. The eco-environmental vulnerability distribution and its changes over the ten years from 1.90 to 2.00 were analyzed and the driving factors of eco-environmental changes were *** results show that the eco-environmental vulnerability in the study area was at medium level,and the eco-environmental quality had been gradually improved on the ***,the eco-environmental quality had become worse over the ten years in some *** the study area,population growth,vegetation degradation,and governmental policies for eco-environmental protection were found to be the major factors that caused the eco-environmental changes over the ten years.

关键词： eco-environmental vulnerability geographic information system (gis) remote sensing (RS) spatial principal component analysis Yellow River Basin

Change of surface cover greenness in china between {1.00 and {1.1.

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Chinese Science Bulletin 2012年第22期57卷 2835-2845页

作者： LIU Shuang1.4& GONG Peng1.2.{1.State Key Laboratory of remote Sensing Science, Jointly Sponsored by Institute of remote Sensing Applications of Chinese Academy of Sciences,and {2. normal university, {2. 1.01.1. china 2.nstitute for Global Change Studies & Center for Earth System Science, Tsinghua university, {2. 1.0084, china {1.epartment of Environmental Science, Policy and Management, university of California, Berkeley, CA9472., USA 4Graduate university of Chinese Academy of Sciences, {2. 1.0049, china State Key Laboratory of remote Sensing Science Jointly Sponsored by Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University Beijing China Graduate university of Chinese Academy of Sciences Beijing China Institute for Global Change Studies & Center for Earth System Science Tsinghua University Beijing China Department of Environmental Science Policy and Management University of California Berkeley USA

Surface greenness reflects the situation of vegetation *** index calculated from the Red and Near Infrared bands of remote sensing images,whose values indicate the level of photosynthetic activity,is monotonically related to surface greenness when vegetation canopy does not fully cover the background *** for desert regions,vegetation index is positively correlated with vegetation ***,vegetation index can be used to study the change in greenness of desert *** study collected MODIS {1.ized Difference Vegetation Index (NDVI) data from 2.00 to 2.1. and analyzed their change over{2. in this *** results showed that an increasing trend of NDVI occurred over 66.84% (OLS fitting) or 64.2.% (LAD fitting) of{2.,indicating that{2.'s greenness is increasing ***,desertification of{2. *** showing large increase in greenness are found in Shaanxi,Shanxi,Ningxia,Henan,Shandong,Qinghai,and Gansu while regions with large decrease in greenness are found in Northeast Inner Mongolia,South Tibet,Jiangsu,and *** of Qinghai,Gansu,Xinjiang and South Tibet could probably be driven by climate *** of greenness in Northeast Inner Mongolia was related to agricultural *** of greenness in Jiangsu and Shanghai was related to rapid *** factors did not exhibit obvious correspondence to the large increase in greenness in Shaanxi,Shanxi,Ningxia and Gansu,indicating that the changes might have been caused by human *** reduction of desert areas in{2. could probably have been caused by human management and protection at the national scale.

关键词：中国地表覆盖归一化植被指数植被覆盖度沙漠地区 NDVI 西藏南部气候因素

Parallel algorithm for real-time contouring from grid DEM on modern GPUs

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Science china(Technological Sciences) 2010年第S1期53卷 33-37页

作者： CHEN Zhuo,SHEN Lei,ZHAO YanQing & YANG ChongJun State Key Laboratory of remote Sensing Science,Jointly Sponsored by the Institute of remote Sensing Applications of Chinese Academy of Sciences and {2. {3. university,{2. 1.01.1.china 1. State Key Laboratory of remote Sensing Science Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University Beijing 100101 China

A real-time algorithm for constructing contour maps from grid DEM data is *** runs completely within the programmable 3. visualization *** interpolation is paralleled by rasterizer units in the graphics card,and contour line extraction is paralleled by pixel *** each frame of the rendering,we first make an elevation gradient map out of original terrain vertex data,then figure out the final contour lines with image-space processing,and directly blend the results on the original scene to obtain a final scene with contour map using *** implement this method in our global 3.-digitalearth system with Direct3.?9.0c API and tested on some consumer level PC *** arbitrary scene with certain LOD level,the process takes less than 1. ms,giving topologically correct,anti-aliased contour lines.

关键词： contour map contour lines paralleled computing 3. terrain GPU digital earth

The definition of effective emissivity of land surface at the scale of remote sensing pixels

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Chinese Science Bulletin 1999年第23期44卷 2154-2158页

作者： LI Xiaowen and WANG Jindi Research Center for remote Sensing and {1., {2. {3. Unirersity, Keying 1.0875, china Center for remote Sensing, Boston Univ. , MA02.1., USA Research Center for remote Sensing and CIS Beijing Normal University Beijing China Center for remote Sensing Boston Univ. USA

remote sensing (RS) of land surface temperature (LST) is a very challenging problem at the present development stage of RS science. Tremendous efforts have been devoted to atmosphere correction and temperature emissivity separation (TES) of new LST product algorithms. However, the mechanism of directionality of thermal emission from land surface remains unknown, and even worse, there are confusions on the definition of the effective emissivity of land surface at the scale of RS pixels. The mechanism of directionality of thermal emission

关键词： non-isothermal pixel effective emissivity. directionality of thermal emission.

Quantitative estimation of the shrub canopy LAI from atmosphere-corrected HJ-1.CCD data in Mu Us Sandland

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Science china Earth Sciences 2010年第S1期53卷 26-33页

The leaf area index(LAI) is an important ecological parameter that characterizes the interface between vegetation canopy and the *** addition,it is used by most process-oriented ecosystem *** paper investigates the potential of HJ-1.CCD data combined with linear spectral unmixing and an inverted geometric-optical model for the retrieval of the shrub LAI in Wushen Banner of Inner Mongolia in the Mu Us ***(Moderate Resolution Atmospheric Radiance and Transmittance Model) was used for atmospheric *** was extracted using the threshold of the normalized difference vegetation index,with which water bodies and farmland were separated,in combination with a vegetation map of the People's Republic of{1.(1.1.00000).Using the geometric-optical model,we derive the per-pixel reflectance as a simple linear combination of two components,namely sunlit background and *** fraction of sunlit background is related to the shrub *** the support of HJ-1.CCD data,we employ linear spectral unmixing to obtain the fraction of sunlit background in an atmospherically corrected HJ *** addition,we use the measured shrub canopy structural parameters for shrub communities to invert the geometric-optical model and retrieve the pixel-based shrub *** total,1. sample plots collected in Wushen Banner of Inner Mongolia are used for *** results of the shrub LAI show good agreement with R2.of 0.81. and a root-mean-squared error of 0.1.3.

关键词： shrub leaf area index inversion HJ-1 data geometric-optical model MODTRAN Mu Us Sandland

Study on movement inertia in the Earth multi-body system

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Science china(Technological Sciences) 2006年第z2期49卷 70-79页

作者： CHEN Xiaofei, BI Siwen & GONG Huili Key Laboratory of 3. Information Acquisition and Application, Ministry of Education, Capital {1. university, {2. 1.003.,{3. National Key Laboratory of remote Sensing Science, Institute of remote Sensing Applications (IRSA), Chinese Academy of Sciences, {2. 1.01.1.{3. Capital normal Univ Minist Educ Key Lab D Informat Acquisit & Applicat Beijing 100037 Peoples R China Chinese Acad Sci Inst Remote Sensing Applicat Natl Key Lab Remote Sensing Sci Beijing 100101 Peoples R China

This paper summarizes the first movement and mass centre of stratum-block movement inertia in the Earth multi-body system and introduces its application. It also elaborates the moment of inertia and the products of inertia: the inertia dyadic transformation of reference system and the parallel axis theorem of stratum-block movement inertia of the Earth multi-body system. It provides an academic foundation for research on the dynamic model of Earth multi-body system.

关键词： Earth multi-body system, stratum block, movement inertia.