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Estimating forest aboveground biomass using HJ-1 Satellite CCD and ICESat GLAS waveform data

science china Earth sciences 2010年第S1期53卷 16-25页

作者： guo zhifeng1,chi hong1,2 & sun guoqing1,{3. key laboratory of Remote sensing science,jointly sponsored by the institute of Remote sensing applications of {{13. and Beijing normal university,institute of Remote sensing applications,{{13.,Beijing 100101,china 2Graduate university of {{13.,Beijing 100049,china 3.epartment of Geography university of Maryland,College Park,MD 20742,USA state key laboratory of Remote {3. science Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University Institute of Remote Sensing Applications Chinese Academy of Sciences Beijing China Graduate university of chinese academy of sciences Beijing China Department of Geography university of Maryland College Park USA

The ecosystem in northeastern china and the Russian Far East is a hotspot of scientific research into the global carbon *** aboveground biomass(AGB) is an important component in the land surface carbon *** this study,using forest inventory data and forest distribution data,the AGB was estimated for forest in Daxinganlin in northeastern china by combining charge-coupled device(CCD) data from the Small Satellite for Disaster and Environment Monitoring and Forecast(HJ-1) and Geoscience Laser Altimeter System(GLAS) waveform data from the Ice,Cloud and land Elevation Satellite(ICESat).The forest AGB prediction models were separately developed for different forest types in the research area at GLAS footprint level from GLAS waveform parameters and field survey plot biomass in the Changqing(CQ) Forest Center,which was calculated from forest inventory *** resulted statistical regression models have a R2=0.68 for conifer and R2=0.71 for broadleaf *** models were used to estimate biomass for all GLAS footprints of forest located in the study *** GLAS footprint biomass coupled with various spectral reflectivity parameters and vegetation indices derived from HJ-1 satellite CCD data were used in multiple regression analyses to establish biomass prediction models(R2=0.55 and R2=0.52 for needle and broadleaf respectively).Then the models were used to produce a forest AGB map for the whole study area using the HJ-1 *** data obtained from forest inventory data of the Zhuanglin(ZL) Forest Center were used as independent field measurements to validate the AGB estimated from HJ-1 CCD data(R2=0.71).About 80% of biomass samples had an error less than 20 t ha-1,and the mean error of all validation samples is 5.74 t *** pixel-level biomass map was then stratified into different biomass levels to illustrate the AGB spatial distribution pattern in this *** was found that HJ-1 wide-swath data and GLAS waveform data can be combined to estim

关键词： Disaster and Environment Monitoring and Forecast Satellite ICESat GLAS waveform boreal forest forest aboveground biomass multiple linear regression

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Monitoring of rice crop using ENVISAT ASAR data

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science china Earth sciences 2006年第7期49卷 755-763页

作者： DONG Yanfang1, 2, sun guoqing1,3.& PANG Yong4 1. state {3. laboratory of Remote sensing science, institute of Remote sensing applications, chinese academy of sciences, Beijing 100101, china 2. Graduate {{13. of chinese academy of sciences, Beijing 10003., china 3. Department of Geography, {{13. of Maryland, College Park, MD 20742, USA 4. Forest Remote sensing Lab, Research institute of Forest Resource and Information Technology, chinese academy of For-estry, Beijing 100091, china state key laboratory of Remote {3. science Institute of Remote Sensing Applications Chinese Academy of Sciences Beijing China Graduate university of chinese academy of sciences Beijing China Department of Geography University of Maryland College Park USA Forest Remote sensing Lab Research Institute of Forest Resource and Information Technology Chinese Academy of Forestry Beijing China

Because of the cloudy conditions during the rice growth period, rice is one of the agri-cultural crops most suited to monitoring with the SAR instruments. Backscatter response measured by SAR is correlated with rice conditions, including height, density, biomass and structure, which are variable at different growing stages. In this paper, multi-date ENVISAT ASAR Alternating Polarization Mode (APMode) imageries were acquired during the rice crop growing cycle. At the same time, the rice parameters were measured in field. A continuous canopy model was used to compute the back-scattering from rice fields during the growth cycle, and the relationship between rice parameters and radar backscattering coefficients from both ASAR and modeling was analyzed. The effects of polari-zation, incidence angle and polarization on radar backscattering coefficients were analyzed. It was found that simulated radar backscatter has similar trends as ASAR data. This will be meaningful for the further research of rice parameters estimation from ASAR data. Different features show signifi-cantly different signatures in ASAR images and they follow some certain laws, so rice area can be accurately mapped by using multi-temporal SAR images, then rice yield can be estimated.

关键词： rice, ASAR, radar backscattering, model.

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Improvement of a 3. radar backscattering model using matrix-doubling method

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science china Earth sciences 2010年第7期53卷 1029-1035页

作者： NI WenJian1,2, guo zhifeng1 & sun guoqing{3. state key laboratory of Remote sensing science, jointly sponsored by the institute of Remote sensing {{13. of chinese academy of sciences and Beijing normal university, Beijing 100101, china 2 Graduate university of chinese academy of sciences, Beijing 100049, china 3.Department of Geography, university of Maryland, College Park, MD 27042, USA state key laboratory of Remote {3. science jointly sponsored by the 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 Department of Geography University of Maryland College Park USA

Radiative transfer models have been widely used to simulate the radar backscattering from forested areas. A three-dimensional radar backscatter model of forest canopy developed in previous studies takes full account of spatial position of trees in a forest stand, and the interactions among crown, trunk and ground surface. The model predicted well for the co-polarized backscatter measurements, but underestimated the backscattering for cross-polarization, primarily because only the first-order scattering within tree crowns was considered in the model. The backscattering at cross-polarization depends strongly on multiple scatter- ing within tree crowns. To produce good estimations for cross-polarized component, the matrix-doubling method is employed here to compute multiple-scattering within the crown. The modified model is compared with the original model, and the field forest measurements and AIRSAR data are used for validation of the modified model. The cross-polarization backscattering is improved in different degrees for different crown structures and at different bands.

关键词： remote sensing forestry electromagnetic propagation radar backscattering model matrix-doubling

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In flight MTF monitoring and compensation for CCD camera on CBERS-02

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science china(Technological sciences) 2005年第S2期48卷 29-43页

作者： GU Xingfa1,2,3. LI Xiaoying1,2,4, MIN Xiangjun5, YU Tao1,2, sun Jijuan5, ZENG Yong1,2,4, XU Hua1,2 & guo Ding2,6 1. state {3. laboratory of Remote sensing science, jointly sponsored by the institute of Remote sensing applications of chinese academy of sciences and Beijing {{13. university, Beijing 100101, china 2. The Center for National Spaceborne Demonstration, Beijing 100101, china 3. Institut National de la Recherche Agronomique, Climat Sol Environnement, 84914 Avignon, France 4. Graduate university of chinese academy of sciences, Beijing 10003., china 5. china Center for Resource Satellite Data and Application, Beijing 10083., china 6. university of Electronic science and Technology of china, Chengdu 610054, china state key laboratory of Remote {3. science Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University The Center for National Spaceborne Demonstration

In this article, the approach of simulating ideal tarp scene was proposed to determine the MTF for CCD camera on CBERS-02. The MTF acquired from this technique was compared to those from some common methods. MTFs achieved from different approaches were employed to compensate the CCD images based on three restoration algorithms: the iterative method, the Wiener filter and the modified inverse filter (MIF). The two-dimensional MTF was established with the value at frequency 0.5 for 45° directional MTF as the value at its four corners. This article addressed the variations of the restored CCD images with different techniques of constructing two-dimensional MTF, restoring algorithms and determining the in-flight MTFs. Results showed images restored with the MTF determined from the technique of simulating ideal tarp scene represent the real scene best. And the restoration technique based on the MIF would produce better restored images than the other two techniques. This research also demonstrated that the two-dimensional MTF used for restoration should be interpolated under the control of the MTF for 45° axis, rather than by multiplying the cross-orbit MTF with along-orbit MTF.

关键词： CBERS-02 CCD MTF the technique of simulating ideal tarp scene.

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Estimations of Net Primary Productivity and Evapotranspiration Based on HJ-1A/B Data in Jinggangshan City, china

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Journal of Mountain science 2013年第5期10卷 777-789页

作者： ZHANG Rong-hua sun Rui DU Jun-ping ZHANG Ting-long TANG Yao XU hong-wei YANG Sheng-tian JIANG Wei-guo state key laboratory of Remote {3. science Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of Chinese Academy of Sciences School of Geography and Remote sensing sciences Beijing Normal University Beijing key laboratory of Environmental Remote sensing and City Digitalization College of Resources and Environment Northwest Agricultural and Forestry University The academy of Disaster Reduction and Emergency Management Ministry of Civil Affairs and Ministry of Education Beijing Normal University

Net primary productivity （NPP） and evapotranspiration （ET） are two key variables in the carbon and water cycles of terrestrial ecosystems. In this study, to test a newly developed NPP algorithm designed for H J-1 A/B data and to evaluate the usage of HJ-1 A/B data in the quantitative assessment of environments, NPP and ET in Jinggangshan city, Jiangxi province, are calculated using H J-1 A/B data. The results illustrate the following：（1） The NPP and ET in Jinggangshan city in 2olo both show obvious seasonal variation, with the highest values in summer and the lowest values in winter, and relatively higher values were observed in autumn than in spring. （2） The spatial pattern indicates that the annual NPP is high in the southern area in Jinggangshan city and low in the northern area. Additionally, high NPP is distributed in forests located in areas with high elevation, and low NPP is found in croplands at low elevations. ET has no significant north-south difference, with high values in the southeast and northwest and low values in the southwest, and high ET is distributed in forests at low elevations in contrast to low ET in forests in high-elevation areas and in cropland and shrub grassland in low-elevation areas. （3. Compared to the MODIS product, the range of H J-1 NPP is larger, and the spatial pattern is more coincident with the topography. The range of H J-1 ET is smaller than that of the MODIS product, and ET is underestimated to some extent but can reflect the effect of topography. This study suggests that the algorithm can be used to estimate NPP and ET in a subtropical monsoon climate if remotely sensed images with high spatial resolution are available.

关键词： Net primary productivity Remotesensing Evapotranspiration HJ-~A/B data

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Development in the application of laser-induced breakdown spectroscopy in recent years:A review

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Frontiers of physics 2021年第2期16卷 45-69页

作者： Lian-Bo guo Deng Zhang Lan-Xiang sun Shun-Chun Yao Lei Zhang Zhen-Zhen Wang Qian-Qian Wang hong-Bin Ding Yuan Lu Zong-Yu Hou Zhe Wang Wuhan National laboratory for Optoelectronics(WNLO) Huazhong University of Science and TechnologyWuhan 430074China state key laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesSheyang 110016China School of Electric Power South China University of TechnologyGuangzhou 510640China state key laboratory of Quantum Optics and Quantum Optics Devices Institute of Laser SpectroscopyShanxi UniversityTaiyuan 030006China state key laboratory of Multiphase Flow in Power Engineering Xi'an Jiaotong UniversityXi'an 710049China key laboratory of Photonic Information Technology School of Optics and PhotonicsBeijing Institute of TechnologyBeijing 100081China School of Physics Dalian University of TechnologyNo.2 Linggong RoadGanjingzi DistrictDalian 116024China Optics and Optoelectronics laboratory Ocean University of ChinaQingdao 266100China state key Lab of Power Systems Department of Energy and Power EngineeringTsinghua UniversityBeijing 100084China

Laser-induced breakdown spectroscopy(LIBS)has been widely studied due to its unique advantages such as remote sensing,real-time multi-elemental detection and none-to-little *** the efforts of researchers around the world,LIBS has been developed by leaps and ***,in recent years,more and more chinese LIBS researchers have put tremendous energy in promoting LIBS *** is worth mentioning that the application of LIBS in a specific field has its special application background and technical difficulties,therefore it may develop in different stages.A review summarizing the current development status of LIBS in various fields would be helpful for the development of LIBS technology as well as its applications especially for chinese LIBS community since most of the researchers in this field work in *** the present work,we summarized the research status and latest progress of main research groups in coal,metallurgy,and water,*** on the current research status,the challenges and opportunities of LIBS were evaluated,and suggestions were made to further promote LIBS applications.

关键词： laser-induced breakdown spectroscopy application

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基于深度学习的花岗伟晶岩型锂铍矿物识别研究

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地学前缘 2023年第5期30卷 185-196页

作者：蒋果周可法王金林白泳孙国庆汪玮中国科学院空间应用工程与技术中心北京100049 中国科学院新疆生态与地理研究所荒漠与绿洲生态国家重点实验室新疆乌鲁木齐830011 新疆矿产资源与数字地质重点实验室新疆乌鲁木齐830011 中国科学院新疆矿产资源研究中心新疆乌鲁木齐830011 中国科学院大学北京100049 中国科学院空天信息创新研究院北京100190

虽然遥感技术在大宗型金属矿产资源勘查方面取得了非常卓越的成效,但将其应用于稀有金属矿物提取的成果较少,尤其是对硬岩型锂铍矿物识别,主要受光谱分辨率、含矿岩体与围岩物性差异小、锂铍矿物光谱区分差异小等因素限制。为此,本研究... 详细信息

虽然遥感技术在大宗型金属矿产资源勘查方面取得了非常卓越的成效,但将其应用于稀有金属矿物提取的成果较少,尤其是对硬岩型锂铍矿物识别,主要受光谱分辨率、含矿岩体与围岩物性差异小、锂铍矿物光谱区分差异小等因素限制。为此,本研究通过野外采集含锂铍矿物伟晶岩和围岩样品并测量其光谱数据,使用光谱增强技术凸显光谱特征,对比分析特征吸收参数相似度模型和深度神经网络模型对矿物识别精度的影响。结果表明:(1)结合包络线去除和混合高斯模型提取的光谱吸收特征参数更简洁且具有更强的地质内涵;(2)光谱增强技术可提高模型识别精度,对比原始光谱,基于对数一阶导数光谱构建的模型的总体精度提高了0.05;(3.从总体精度看,深度卷积神经网络(总体精度=0.78)比浅层网络模型(反向传播模型总体精度=0.55和极限学习机模型总体精度=0.73.能够取得更好的效果。因此,结合高光谱技术和深度学习能够有效快速地识别花岗伟晶岩型矿物,为航空-航天成像高光谱影像直接提取锂铍矿物提供科学依据。

关键词：锂、铍光谱变换 MICA 深度学习高光谱

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A new method to retrieve aerosol optical thickness from satellite images on a parallel system

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Particuology 2009年第5期7卷 392-398页

作者： Jianping guo Huadong Xiao Yong Xue Huizheng Che Xiaoye Zhang Chunxiang Cao Jie Guang Hao Zhang CenterforAtmosphere Watch and Services Chinese Academy of Meteorological Sciences China Meteorological Administration Beijing 100081 China National Meteorological Information Center China Meteorological Administration Beijing 100081 China state key laboratory of Remote {3. sciences Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University Institute of Remote Sensing Applications Chinese Academy of Sciences PO Box 9718 Beijing 100101 China Department of Computing London Metropolitan University 166-220 Holloway Road London N7 8DB UK

A wide variety of algorithms have been developed to monitor aerosol burden from satellite images. Still, few solutions currently allow for real-time and efficient retrieval of aerosol optical thickness （AOT）, mainly due to the extremely large volume of computation necessary for the numeric solution of atmospheric radiative transfer equations. Taking into account the efforts to exploit the SYNergy of Terra and Aqua Modis （SYNTAM, an AOT retrieval algorithm）, we present in this paper a novel method to retrieve AOT from Moderate Resolution Imaging Spectroradiometer （MODIS） satellite images, in which the strategy of block partition and collective communication was taken, thereby maximizing load balance and reducing the overhead time during inter-processor communication. Experiments were carried out to retrieve AOT at 0.44, 0.55, and 0.67μm of MODIS/Terra and MODIS/Aqua data, using the parallel SYNTAM algorithm in the IBM System Cluster 1600 deployed at china Meteorological Administration （CMA）. Results showed that parallel implementation can greatly reduce computation time, and thus ensure high parallel efficiency. AOT derived by parallel algorithm was validated against measurements from ground-based sun-photometers; in all cases, the relative error range was within 20%, which demonstrated that the parallel algorithm was suitable for applications such as air quality monitoring and climate modeling.

关键词： AOT Parallel computation Block partitioning Message Passing Interface (MPI)

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变角度下主被动微波遥感联合降尺度方法

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遥感学报 2021年第4期25卷 952-961页

作者：郭鹏赵天杰施建成孙彦龙黄硕牛升达山东农业大学信息科学与工程学院泰安271018 中国科学院空天信息创新研究院遥感科学国家重点实验室北京100101 中国科学院国家空间科学中心北京100190 上海航天电子技术研究所上海201109 上海卫星工程研究所上海201109

被动微波遥感土壤水分空间分辨率低,无法满足干旱监测、洪水预测以及灌溉管理等区域水利和农业等行业应用需求。中国在民用空间基础设施中规划论证的“陆地水资源卫星”搭载了雷达和辐射计主被动一体化微波载荷,通过主被动联合降尺度可... 详细信息

被动微波遥感土壤水分空间分辨率低,无法满足干旱监测、洪水预测以及灌溉管理等区域水利和农业等行业应用需求。中国在民用空间基础设施中规划论证的“陆地水资源卫星”搭载了雷达和辐射计主被动一体化微波载荷,通过主被动联合降尺度可以获取高分辨率(~5 km)的土壤水分,但其采用了一维合成孔径技术,主被动微波传感器观测的地面入射角是变化的,这给土壤水分反演及降尺度带来诸多挑战。本文从主被动微波遥感的物理机理和谱分析两种角度出发,利用闪电河流域的航空飞行试验数据,分析研究了基于主被动微波观测时间序列回归分析和基于谱分析的降尺度算法在辐射计和雷达入射角不同时的适用性。结果表明,在辐射计入射角度22.5°-27.5°时,基于主被动微波观测时间序列回归分析方法在27.5°时降尺度的结果最好,V极化和H极化的RMSE分别为7.57 K和7.46 K。基于谱分析方法在辐射计入射角度为22.5°和25°时得到的降尺度结果较好,V极化和H极化的最小RMSE分别为7.13.K和6.61 K,比基于主被动微波观测时间序列回归分析方法分别降低了0.44 K和0.85 K。基于主被动时间序列观测回归分析的降尺度方法,依赖于主被动微波观测的时间序列观测,当时序观测较短时,可能会因为回归分析的不稳定对降尺度结果造成较大的影响,而基于谱分析的降尺度方法则不需要依赖于长时间的时序观测。

关键词：微波遥感辐射计雷达降尺度土壤水

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基于激光雷达数据的物种分布模拟:以美国加州内华达山脉南部区域食鱼貂分布模拟为例

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生物多样性 2018年第8期26卷 878-891页

作者：周中一刘冉时书纳苏艳军李文楷郭庆华中山大学地理科学与规划学院广州510275 中国科学院植物研究所植被与环境变化国家重点实验室北京100093 中国科学院大学北京100049

生态位模型通过拟合物种分布与环境变量之间的关系提供物种空间分布预测,在生物多样性研究中有广泛应用。激光雷达(LiDAR)是一种新兴的主动遥感技术,已被大量应用于森林三维结构信息的提取,但其在物种分布模拟的应用研究比较缺乏。本研... 详细信息

生态位模型通过拟合物种分布与环境变量之间的关系提供物种空间分布预测,在生物多样性研究中有广泛应用。激光雷达(LiDAR)是一种新兴的主动遥感技术,已被大量应用于森林三维结构信息的提取,但其在物种分布模拟的应用研究比较缺乏。本研究以美国加州内华达山脉南部地区的食鱼貂(Martes pennanti)的分布模拟为例,探索Li DAR技术在物种分布模拟中的有效性。生态位模型采用5种传统多类分类器,包括神经网络、广义线性模型、广义可加模型、最大熵模型和多元自适应回归样条模型,并使用正样本–背景学习(presence and background learning,PBL)算法进行模型校正;同时对这5种模型使用加权平均进行模型集成,作为第6个模型。此外,一类最大熵模型也被用于模拟该物种的空间分布。模型的连续输出和二值输出分别使用AUC(area under the receiver operating characteristic curve)以及基于正样本–背景数据的评价指标F_(pb)进行评价。结果表明,仅考虑气候因子(温度和降水)时,7个模型的AUC和F_(pb)平均值分别为0.779和1.077;当考虑Li DAR变量(冠层容重、枝下高、叶面积指数、高程、坡度等)后,AUC和F_(pb)分别为0.800和1.106。该研究表明,Li DAR数据能够提高食鱼貂空间分布的预测精度,在物种分布模拟方面存在一定的应用价值。

关键词：生态位模型激光雷达食鱼貂正样本–背景学习最大熵

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