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Information flow and controlling in regularization inversion of quantitative remote sensing

Science china Earth Sciences 2005年第1期48卷 74-83页

作者： YANG Hua, XU Wangli, ZHAO Hongrui, CHEN Xue & WANG Jindi research center for remote sensing and gis, School of geography, beijing normal university, State key laboratory of remote sensing Science, beijing key laboratory for remote sensing of {14. and digital Cities, beijing 100875, china Department of Mathematics, beijing normal university, beijing 100875, china 1. research center for remote sensing and gis School of Geography Beijing Normal University State Key Laboratory of Remote Sensing Science Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities 100875 Beijing China 2. Department of Mathematics Beijing Normal University 100875 Beijing China

In order to minimize uncertainty of the inversed parameters to the largest extent by making full use of the limited information in remote sensing data, it is necessary to understand what the information flow in quantitative remote sensing model inversion is, thus control the information flow. Aiming at this, the paper takes the linear kernel-driven model inversion as an example. At first, the information flow in different inversion methods is calculated and analyzed, then the effect of information flow controlled by multi-stage inversion strategy is studied, finally, an information matrix based on USM is defined to control information flow in inversion. It shows that using Shannon entropy decrease of the inversed parameters can express information flow more properly. Changing the weight of a priori knowledge in inversion or fixing parameters and partitioning datasets in multi-stage inversion strategy can control information flow. In regularization inversion of remote sensing, information matrix based on USM may be a better tool for quantitatively controlling information flow.

关键词： regularization inversion, information flow, Shannon entropy decrease, information matrix.

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Study on NDVI-T_s space by combining LAI and evapotranspiration

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Science china Earth Sciences 2006年第7期49卷 747-754页

作者： HAN Lijuan1,2,3, WANG Pengxin4, YANG Hua1,2,3, LIU Shaomin1,2,3 & WANG Jindi1,2,3 1. research center for remote sensing and gis, School of geography, beijing normal university, beijing 100875, china 2. State key laboratory of remote sensing Science, beijing 100875, china 3. {14. key laboratory for remote sensing of environment and digital Cities, beijing 100875, china 4. Department of Information Management, College of Information and Electronic Engineering, china Agricultural university, {14. 100083, china 1. research center for remote sensing and gis School of Geography Beijing Normal University Beijing 100875 China 2. State key laboratory of remote sensing Science Beijing 100875 China 3. beijing key laboratory for remote sensing of environment and digital Cities Beijing 100875 China 4. Department of Information Management College of Information and Electronic Engineering China Agricultural University Beijing 100083 China

This paper focuses on interpreting the different spatial relationships between NDVI and Ts, a triangular or a trapezoid, and on analyzing transformation conditions, the physical and ecological meanings of the vegetation index-surface temperature space as well. Further, we use the Tempera-ture-Vegetation Dryness Index (TVDI) to explain the existent meaning of a triangular space after NDVI reaches its saturated state by employing the relationships between NDVI, LAI and evapotranspiration. The specific relations between NDVI and Ts are useful for describing, validating and updating land surface models.

关键词： NDVI, land surface temperature, evapotranspiration, leave area index.

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Synchronous estimation of DTM and fractional vegetation cover in forested area from airborne LIDAR height and intensity data

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Science china(Technological Sciences) 2008年第S2期51卷 176-187页

作者： BAO YunFei1,2,CAO ChunXiang1,ZHANG Hao1,CHEN ErXue3,HE QiSheng1,2,HUANG HuaBing1,LI ZengYuan3,LI XiaoWen1,4 & GONG Peng1 1 State key laboratory of remote sensing Science,jointly sponsored by the Institute for remote sensing Applications of Chinese Academy of Sciences and beijing normal university,beijing 100101,china 2 Graduate university of the Chinese Academy of Sciences,beijing 100049,china 3 Institute of Forest Resource Information Technique,the Chinese Academy of Forestry,beijing 100091,china 4.research center for remote sensing and gis,Department of {14. and beijing key laboratory for remote sensing of environment and digital Sites,beijing normal university,{24.,china State key laboratory of remote sensing Science jointly sponsored by the Institute for Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University Beijing 100101 China Graduate university of the Chinese Academy of Sciences Beijing 100049 China Institute of Forest Resource Information Technique the Chinese Academy of Forestry Beijing 100091 China research center for remote sensing and gis Department of Geography and Beijing Key Laboratory for Remote Sensing of Environment and Digital Sites Beijing Normal University Beijing 100875 China

We proposed a method to separate ground points and vegetation points from discrete return,small footprint airborne laser scanner data,called skewness change *** method,which makes use of intensity of laser scanner data,is especially applicable in steep,and forested *** does not take slope of forested area into account,while other algorithms consider the change of slope in steep forested *** ground points and vegetation points can be used to estimate digital terrain model(DTM) and fractional vegetation cover,respectively.A few vegetation points which were classified into the ground points were removed as noise before the generation of *** method was tested in a test area of 10000 square meters.A LiteMapper -5600 laser system was used and a flight was carried out over a ground of 700―800 *** this tested area,a total number of 1546 field measurement ground points were measured with a total station TOPCON GTS-602 and TOPCON GTS -7002 for validation of DTM and the mean error value is -18.5 cm and the RMSE(root mean square error) is ±20.9 cm.A data trap sizes of 4m in diameter from airborne laser scanner data was selected to compute vegetation fraction *** of fractional vegetation cover was carried out using 15 hemispherical photographs,which are georeferenced to centimeter accuracy by differential *** gap fraction was computed over a range of zenith angles 10° using the gap light analyzer(GLA) from each hemispherical *** R2 for the regression of fractional vegetation cover from these ALS data and the respective field measurements is *** this study presents a method for synchronous estimation of DTM and fractional vegetation cover in forested area from airborne LIDAR height and intensity data.

关键词： LIDAR intensity skewness synchronous DTM fractional vegetation cover

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Comments on scaling effect of reciprocity in BRDF study

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Progress in Natural Science:Materials International 2004年第3期 95-96页

作者： ZHAO Hongrui* and WANG Jindi(research center for remote sensing and gis, Department of geography, beijing normal university, beijing key laboratory for remote sensing of environment and digital Cities, beijing 100875, {14.) researchcenterforremotesensingandgis DepartmentofGeographyBeijingNormalUniversityBeijingKeyLaboratoryforRemoteSensingofEnvironmentandDigitalCitiesBeijing100875China

Reciprocity principle is a common theory in electromagnetics and optics. It is also one of the general principles of the radiation transformation theory. However, in many remote sensing studies, this principle cannot be always supported by experimental data, especially when the scaling effect of the remote sensing image pixel is considered. The debate over the issue of whether the reciprocity principle can be used as a fundamental standard in evaluating the effectiveness of remote sensing observations has lasted for years. Using geometrical optics model, Li and Wan proved the existence of the scaling effect in applying the reciprocity principle to a remote sensing image pixel in 1998. In 2002, Snyder challenged Li’s proof, and attempted to prove that reciprocity principle is universally valid without any scale limitation. In this paper, we will argue with Snyder’s theory and point out that Snyder’s theory had neglected an important condition used in Li’s proof and, as a result, drawn the wrong conclusion. Here we will restate Li’s condition in his demonstration and offer a further proof to verify that reciprocity principle cannot be applied unconditionally to the study of bi directional reflectance distribution function (BRDF) of land surfaces in field or satellite remote sensing observation scale.

关键词： BRDF reciprocity scaling effect.

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使用PB数据管道对象实现多数据库备份与更新

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计算机工程与应用 2004年第26期40卷 163-165页

作者：赵祥刘素红屈永华王培娟北京师范大学地理学与遥感科学学院遥感与地理信息系统研究中心北京100875 北京师范大学地理学与遥感科学学院遥感科学国家重点实验室北京100875 北京师范大学地理学与遥感科学学院环境遥感与数字城市北京市重点实验室北京100875

论文介绍了PowerBuilder数据管道(DataPipeline)对象的主要特点与作用,结合数据库存储过程的使用,提出后台多数据库备份与更新的策略及关键技术,并给出其实现方法,为多数据库维护与使用提供了一个实例。

关键词： PowerBuilder数据管道多数据库备份与更新

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基于Multigen/Vega的校园VR仿真系统的实现——以中国矿业大学为例

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系统仿真学报 2004年第9期16卷 1995-1998页

作者：宋金玲肖寒盛业华王锦地北京师范大学地理学与遥感科学学院遥感与地理信息系统研究中心遥感科学国家重点实验室环境遥感与数字城市北京市重点实验室北京100875 中国矿业大学环测学院徐州221008 南京师范大学地理科学学院南京210097

虚拟现实技术对于城市规划和城市的可持续发展有着非常重要的意义,它的长足进步,为真实景观的再现提供了有效手段。本论文在已有的二维地理信息系统数据的基础上进行校园数据的获取与组织,利用虚拟现实技术实现校园全景的三维重建,采用... 详细信息

虚拟现实技术对于城市规划和城市的可持续发展有着非常重要的意义,它的长足进步,为真实景观的再现提供了有效手段。本论文在已有的二维地理信息系统数据的基础上进行校园数据的获取与组织,利用虚拟现实技术实现校园全景的三维重建,采用层次型与面向对象相结合的三维数据结构,构造了校园全景的仿真模型,并实现了校园全景的驱动显示,为校园规划和可持续发展更可靠的保证。

关键词：虚拟现实 Multigen Vega 仿真

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人文与经济地理学的传承与创新：青年学者的责任

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地理研究 2018年第3期37卷 449-472页

作者：陈明星周素红何深静叶超汪明峰孙威王开泳刘艳军朱晟君马海涛姚华松马仁锋张华余建辉吴康王丰龙黄耿志赵荣钦郝庆刘春腊郑捷刘海猛中国科学院地理科学与资源研究所区域可持续发展分析与模拟院重点实验室北京100101 中山大学地理科学与规划学院广州510275 香港大学城市规划与设计系中国香港999077 华东师范大学地理科学学院上海200241 华东师范大学城市与区域科学学院上海200241 东北师范大学地理科学学院长春130024 北京大学城市与环境学院北京100871 广州大学广州发展研究院广州510405 宁波大学昂热大学联合学院地理与空间信息技术系宁波315211 环境遥感与数字城市北京市重点实验室北京师范大学地理科学学部北京100875 首都经济贸易大学城市经济与公共管理学院北京100070 华东师范大学城市发展研究院上海200062 广州地理研究所广州510070 华北水利水电大学资源与环境学院郑州450045 中国国土资源经济研究院北京101149 湖南师范大学资源与环境科学学院长沙410081 嘉兴港区开发建设管理委员会嘉兴314201

2018年1月27-28日,人文与经济地理学青年论坛暨第二届中国科学院区域可持续发展分析与模拟重点实验室青年论坛在北京国家会议中心成功举办。青年论坛以"人文与经济地理学的传承与创新:青年学者的责任与行动"为主题。莅临会场的院士、前... 详细信息

2018年1月27-28日,人文与经济地理学青年论坛暨第二届中国科学院区域可持续发展分析与模拟重点实验室青年论坛在北京国家会议中心成功举办。青年论坛以"人文与经济地理学的传承与创新:青年学者的责任与行动"为主题。莅临会场的院士、前辈和主管部门领导纷纷表示鼓励、支持和关怀青年人才的更快更好的成长。在这样的背景下,以这次青年论坛主题为题,在新时代传承和创新人文与经济地理学,青年学者责无旁贷,追寻地理学家的精神,集中探讨青年学者的责任与行动,展示人文与经济地理青年学者的思考和风采。

关键词：人文与经济地理学青年学者责任行动传承创新新时代

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