成果/Result
- Optimal Support Vector Machines for Forest Above-ground Biomass Estimation from Multisource Remote Sensing data被引量：15收藏
- 作者：Guo, Ying[1] Li, Zengyuan[1] Zhang, Xu[1] Chen, Er-xue[1] Bai, Lina[1]
- 机构：Chinese Acad Forestry
- 来源：2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) 2012
- 关键词：SVM KNN RBFNN BPNN random forest forest above-ground biomass multisource remote sensing estimation
- FOREST CANOPY CLOSURE ESTIMATION IN GREATER KHINGAN FOREST BASED ON GF-2 daTA被引量：8收藏
- 作者：Sun, Shanshan[1] Li, Zengyuan[1] Tian, Xin[1] Gao, Zhihai[1] Wang, Chongyang[1]
- 机构：Chinese Acad Forestry;Forestry Planning & Design Acad Forest Prod Ind
- 来源：2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019) 2019
- 关键词：Forest canopy closure (FCC) support vector machine (SVM) Chinese high-resolution satellite-2 (GF-2)
- DETECTION THE EXPANSION OF MARINE AQUACULTURE IN SANSHA BAY BY REMOTE SENSING被引量：6收藏
- 作者：Xue, Mei[1,2] Chen, YunZhi[1] Tian, Xin[2] Yan, Min[2] Zhang, ZhaoPeng[2]
- 机构：Fuzhou Univ;Chinese Acad Forestry
- 来源：IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM 2018
- 关键词：Sansha Bay Cage culture Algae culture SVM Monitor
- DEFORMATION VELOCITY MONITORING IN KUNMING CITY USING ASCENDING AND DESCENDING SENTINEL-1A daTA WITH SBAS-INSAR TECHNIQUE被引量：5收藏
- 作者：Guo, Shipeng[1] Ji, Yongjie[1] Tian, Xin[2] Zhang, Wangfei[1] Kang, Wei[1]
- 机构：Southwest Forestry Univ;Chinese Acad Forestry
- 来源：IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM 2020
- 关键词：SBAS-InSAR time-series Dianchi Lake subsidence
- DOMINANT TREES ANALYSIS USING UAV LIdaR AND PHOTOGRAMMETRY被引量：4收藏
- 作者：Liu, Qingwang[1] Li, Shiming[1] Tian, Xin[1] Fu, Liyong[1]
- 机构：Chinese Acad Forestry
- 来源：IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM 2020
- 关键词：UAV Lidar Photogrammetry CHM
- RETRIEVAL OF FOREST ABOVE GROUND BIOMASS USING AUTOMATIC KNN MODEL被引量：3收藏
- 作者：Li Chunmei[1,2] Tian Xin[2] Li Zengyuan[2] Chen Erxue[2] Zhang Wangfei[1]
- 机构：Southwest Forestry Univ;Chinese Acad Forestry
- 来源：2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) 2016
- 关键词：biomass AKNN estimation
- ESTIMATION OF GROSS PRIMARY PRODUCTIVITY OF FOUR TYPES OF FOREST IN CHINA被引量：2收藏
- 作者：Fan Wenwu[1,2] Tian Xin[1] Ling Feilong[2] Yan Min[1]
- 机构：Chinese Acad Forestry;Fuzhou Univ
- 来源：2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) 2016
- 关键词：TG model MOD_17 GPP forest
- SIMULATION OF CARBON FLUX OF FOREST ECOSYSTEM BY BIOME-BGC AND MODIS-PSN MODELS被引量：2收藏
- 作者：Yan, Min[1] Li, Zengyuan[1] Tian, Xin[1] Chen, Erxue[1] Zhang, Wangfei[1]
- 机构：Chinese Acad Forestry
- 来源：2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) 2014
- 关键词：carbon flux Biome-BGC MODIS-PSN combination the Qilian Mountains
- ESTIMATION OF NET PRIMARY PRODUCTIVITY BY BEPS MODEL-A CASE STUDY IN FUJIAN PROVINCE被引量：2收藏
- 作者：Xue, Mei[1,2] Chen, YunZhi[2] Jia, LiangLiang[2] Wang, XiaoQin[2] Yan, Min[1]
- 机构：Chinese Acad Forestry;Fuzhou Univ
- 来源：2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) 2017
- 关键词：BEPS model Fujian Province NPP MODIS data
- DYNAMIC ANALYSIS AND MODELING OF FOREST ABOVE-GROUND BIOMASS被引量：2收藏
- 作者：Tian, Xin[1] Li, Zengyuan[1] Guo, Yun[1] Yan, Min[1] Chen, Erxue[1]
- 机构：Chinese Acad Forestry
- 来源：2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) 2014
- 关键词：Dynamic analysis and modeling remote sensing forest carbon Biome-BGC model
- VERTICAL CANOPY COVER RETRIEVAL FOR GREATER KHINGAN FOREST BASED ON A GEOMETRIC-OPTICAL MODEL USING LANDSAT daTA被引量：1收藏
- 作者：Gu, Chengyan[1] Tian, Xin[1] Li, Zengyuan[1]
- 机构：Chinese Acad Forestry
- 来源：2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) 2016
- 关键词：Forest vertical canopy cover Li-Strahler geometric-optical model
- IMPROVMENT OF BIOME-BGC MODEL BY INCORPORATION AND daTA ASSIMILATION被引量：1收藏
- 作者：Yan, Min[1] Tian, Xin[1] Li, Zengyuan[1] Chen, Erxue[1]
- 机构：Chinese Acad Forestry
- 来源：2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) 2016
- 关键词：carbon flux Biome-BGC GLASS LAI EnKF
- REMOTELY SENSED MONITORING FOREST CHANGES-A CASE STUDY IN THE JINHE TOWN OF INNER MONGOLIA被引量：1收藏
- 作者：Sun, Hong[1] Tian, Xin[1] Li, Zengyuan[1] Chen, Erxue[1] Wang, Wei[2]
- 机构：Chinese Acad Forestry;Acad Forestry Inventory & Planning
- 来源：2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) 2017
- 关键词：forest changes VFC AGB forest fire disaster
- FOREST STAND HEIGHT ESTIMATION USING ZIYUAN-3 TRI-STEREO IMAGERY AND LIdaR被引量：1收藏
- 作者：Li, Shiming[1] Liu, Qingwang[1] Wang, Ning[2] Li, Zengyuan[1] Chen, Erxue[1]
- 机构：Chinese Acad Forestry;China Acad Launch Vehicle Technol
- 来源：2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019) 2019
- 关键词：Forest stand height ZY-3 tri-stereo imagery LidaR zy3-lidar CHM
- WINTER WHEAT IDENTIFICATION USING MULTI-TEMPORAL ENVISAT ASAR daTA - A CASE STUDY AT TONGZHOU DISTRICT, BEIJING被引量：0收藏
- 作者：Bai Lina[1] Wang Bengyu[1] Tian Xin[1] Lu Ying[1] Yang Yongtian[]
- 机构：Chinese Acad Forestry
- 来源：2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) 2012
- 关键词：ENVISAT ASAR data Winter Wheat Multi-Temporal Filter Classification and Identification
- REGIONAL FOREST ABOVE-GROUND BIOMASS RETRIEVAL BY OPTIMIZED K-NN ALGORITHM IN NORTHEAST CHINA被引量：0收藏
- 作者：Tian, Xin[1,2] Chen, Erxue[1] Li, Zengyuan[1] Su, Z. Bob[2] Bai, Lina[1]
- 机构：Chinese Acad Forestry;Univ Twente
- 来源：2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) 2013
- 关键词：k-NN method forest above-ground biomass optimized configuration
- CLASSIFY TREE SPECIES FROM POINT CLOUDS GENERATED BY DIFFERENT LASER SENSORS: A MULTI-VIEW PROJECTION STRATEGY被引量：0收藏
- 作者：Luo, Xin[1] Tian, Xin[1] Liu, Bingjie[3] Li, Yang[2] Chen, Shuxin[1]
- 机构：Chinese Acad Forestry;Northeast Forestry Univ;Shanxi Agr Univ
- 来源：2024 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2024) 2024
- 关键词：light detection and ranging (LidaR) tree species classification deep learning point cloud
- AdaPTING 3-PG MODEL TO SIMULATE EARLY FOREST GROWTH DYNAMICS IN HIGHLY BURNT AREAS ACROSS daXING ANLING MOUNTAIN IN CHINA被引量：0收藏
- 作者：Lin, Simei[1] Huang, HuaGuo[1] Tian, Xin[2]
- 机构：Beijing Forestry Univ;Chinese Acad Forestry
- 来源：IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM 2020
- 关键词：3-PG model fire disturbance fertility rate productivity
- A FAST ITERATIVE FEATURES SELECTION FOR THE K-NEAREST NEIGHBOR被引量：0收藏
- 作者：Han, Zongtao[1,2] Wang, Wei[3] Li, Zengyuan[1] Chen, Erxue[1] Wang, Qiuping[4]
- 机构：Chinese Acad Forestry;Fuzhou Univ;State Forestry Adm Peopless Republ China;Weihais Marine Environm Monitoring Ctr
- 来源：2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) 2017
- 关键词：KNN-FIFS features selection above-ground biomass
- UNCERTAINTY ANALYSIS OF FOREST ABOVE-GROUND BIOMASS INCREMENTS IN SOUTHERN QILIAN MOUNTAINS被引量：0收藏
- 作者：Han, Zongtao[1,2] Tian, Xin[1] Jiang, Hong[2] Ling, FeiLong[2] Yan, Min[1]
- 机构：Chinese Acad Forestry;Fuzhou Univ
- 来源：2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) 2016
- MODELING OF FOREST ABOVE-GROUND BIOMASS DYNAMICS USING MULTI-SOURCE daTA AND INCORPORATED MODELS: A CASE STUDY OVER THE QILIAN MOUNTAINS被引量：0收藏
- 作者：Tian, Xin[1] Li, Zengyuan[1] Chen, Erxue[1] Yan, Min[1,2] Han, Zongtao[1,3]
- 机构：Chinese Acad Forestry;Chinese Acad Sci;Fuzhou Univ
- 来源：2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) 2017
- 关键词：Forest above-ground biomass dynamics MODIS MOD_17 GPP model Biome-BGC
- INDIVIDUAL TREE CROWN SEGMENTATION IN SUBTROPICAL BROADLEAF FORESTS USING UAV-BASED ULTRAHIGH-RESOLUTION RGB daTA被引量：0收藏
- 作者：Zhu, Ruoning[1] Chai, Guoqi[2] Tian, Xin[3]
- 机构：China Construct First Grp;Beijing Forestry Univ;Chinese Acad Forestry
- 来源：IGARSS 2024-2024 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, IGARSS 2024 2024
- 关键词：tree crown segmentation subtropical broadleaf forests watershed segmentation normalized cut
- ESTIMATING EFFECTIVE LEAF AREA INDEX USING LI-STRAHLER GEOMETRIC-OPTICAL MODEL, LANDSAT 7 ETM+, AND AIRBORNE LIdaR IN THE GREATER KHINGAN MOUNTAINS OF CHINA被引量：0收藏
- 作者：Gu, Chengyan[1] Wang, Chongyang[2] Tian, Xin[2] Li, Zengyuan[2] Sun, Shanshan[2]
- 机构：Natl Forestry & Grassland Adm;Chinese Acad Forestry
- 来源：2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019) 2019
- 关键词：Effective leaf area index Li-Strahler geometric-optical model Airborne LidaR Landsat 7 ETM+ data
