Conference Agenda

Estimation Of Forest Change Using Shortwave SAR

Henrik Persson, Langning Huo

Swedish University of Agricultural Sciences, Sweden

Green Attack or Overfitting? Comparing Machine-learning- and Vegetation-index-based Methods to Early Detect European Spruce Bark Beetle Attacks Using Multispectral Drone Images

Langning Huo, Eva Lindberg, Jonas Bohlin, Henrik Jan Persson

Swedish University of Agricultural Sciences, Sweden

Assessment of High-resolution Airborne Multi-band Polarimetric SAR to Estimate Forest Stem Volume in Boreal Forest of China

Yaxiong Fan, Lei Zhao, Erxue Chen, Kunpeng Xu, Yunmei Ma

Institute of Forest Resources Information Technique, Chinese Academy of Forestry, China, People's Republic of

Tracking Forest Disturbance in Northeast China's Cold Temperate Forests Using a Temporal Sequence of Landsat Data

Xiang Jia

Beijing Forestry University, People's Republic of China

A Multi-Temporal Polarization SAR Classification Method Based on Time-Variant Scattering Features

Li Gao¹, Zhiyuan Lin¹, Qiang Yin¹, Wen Hong²

1: College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, P. R. China; 2: Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, P. R. China

Multi-Band CARSS Airborne PolSAR Image Fusion Classification

Shuo Li, Qiang Yin

College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China, China, People's Republic of

Temporal Dual-polarization SAR Crop Classification Based on Coherence Optimization

Yuming Du, Qiang Yin

College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, P.R. China

Estimation Of Boreal Forest Above Ground Biomass Based On Dual-frequency Interferometric SAR Data

YunMei Ma, Lei Zhao, ErXue Chen, ZengYuan Li, YaXiong Fan, KunPeng Xu

中国林业科学研究院, China, People's Republic of

Comparison of Phase Calibration methods for TomoSAR Imaging and Applications over Forested Areas

Xu Kunpeng, Zhao Lei, Chen Erxue, Li Zengyuan, Fan Yaxiong, Ma Yunmei

Chinese academy of forestry, China, People's Republic of

Generation of Daily Mid-high Spatial Resolution Surface Reflectance Dataset and its Application in Grassland Monitoring

Hanwen Cui^1,2, Xiaosong Li¹, Chaochao Chen¹, Ziyu Yang¹, Licheng Zhao¹, Tong Shen¹

1: Aerospace Information Research Institute,Chinese Academy of Sciences, Beijing ,China; 2: School of Geography and Environment Science, Guizhou Normal University, Guiyang, China

Characteristics of Vegetation Dynamic Changes in the Beijing-Tianjin Sandstorm Source Area in the Past 20 Years

Changlong Li¹, Zhihai Gao², Bin Sun²

1: Guangzhou College of Commerce, China, People's Republic of; 2: Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, China

Remotely Sensed Vegetation Indices Detect Differing Drought Responses Between Sitka spruce (Picea sitchensis) Genotypes

Gerrard English¹, Juan Suarez², Jacqueline Rosette¹

1: Swansea University, United Kingdom; 2: Forest Research, United Kingdom

Methods for assessing forest stress with satellite Remote Sensing

James Alan Hitchcock, Juan Suárez

Forest Research, Northern Research Station, Roslin, Midlothian EH25 9SY, Scotland, UK

Potential Assessment of LBI for Forest Carbon Sink Measurement

Liming Du^1,2, Yong Pang^1,2

1: Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China;; 2: Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China;

Satellite Reflectance Validation based on BRDF Reconstructed Airborne Hyperspectral Data

Wen Jia^1,2, Yong Pang^1,2

1: Institute of Forest Resource Information Techniques Chinese Academy of Forestry, China, People's Republic of; 2: Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration

An Optimized Method to Validate High Resolution Gross Primary Production Based on Flux Tower Measurement

Tao Yu, Yong Pang, Xiaodong Niu, Zengyuan Li

Institute of Forest Resource Information Techniques, Chinese Academy of Forestry

Dispersal Limitation Dominates The Spatial Distribution Of Forest Fuel Loads In Chongqing, China

Shan Wang, Zhongke Feng, Xuanhan Yang, Zhichao Wang

Beijing forestry university

A Study On The Simulation And Prediction Of Land Use Change And Carbon Storage In Beijing Under Multiple Scenarios Based On The Plus-Invest Model

Wenxu Ji, Zhongke Feng, Zhichao Wang

Beijing Forestry University, China, People's Republic of

The Research on Evapotranspiration Estimation and Analysis in Typical Area in China and Europe

Liang Zhu¹, Zonghan Ma¹, Bingfang Wu¹, Qinghan Dong²

1: State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China; 2: Department of Remote Sensing, Flemish Institute of Technological Research, Mol, Belgium

_{Retrieving the Crop Growth and Management Information at Field Level with Multiple Source Satellite Data for the Sustainable Agricultural Development}

Jinlong Fan¹, Pierre Defourny²

1: National Satellite Meteorological Center, China Meteorological Administration, China, People's Republic of; 2: Universite Catholique de Louvain, Belgium

Dr5 59061: Satellite Observations for Improving Irrigation Water Management

Li Jia¹, Marco Mancini², Chaolei Zheng¹, Chiara Corbari², Qiting Chen¹, Nicola Paciolla², Min Jiang¹, Yu Bai^1,3, Tianjie Zhao¹, Jing Lu¹, Guangcheng Hu¹, Massimo Menenti¹, Ali Bennour^1,3

1: Aerospace Information Research Institute, Chinese Academy of Sciences; 2: Dept of Civil and Enviromental enginnering, Politecnico di Milano; 3: University of Chinese Academy of Sciences

Linking Agroecosystem Monitoring with Carbon Farming through Multi-Source Remote Sensing Observations

Carsten Montzka¹, Liang Liang², Shuguo Wang², Jordan Steven Bates¹, Bagher Bayat¹, Wensong Liu², David Mengen¹, Wenqin Huang¹, Shirin Moradi¹, Yuquan Qu¹, Rahul Raj¹, Visakh Sivaprasad¹, Renmin Yang^2,3, Lijuan Wang²

1: Institute of Bio- and Geosciences: Agrosphere (IBG-3), Forschungszentrum Jülich, Jülich 52428, Germany; 2: School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China; 3: School of Earth System Science, Tianjin University, Tianjin 300072, China

Sino-Eu Optical Data to Predict Agronomical Variables and to Monitor and Forecast Crop Pests and Diseases

Wenjiang Huang¹, Guijun Yang², Hao Yang², Pignatti Stefano³, Casa Raffaele⁴, Laneve Giovanni⁵

1: Aerospace Information Research Institute, Chinese Academy of Sciences, China; 2: Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, China; 3: Institute of Methodologies for Environmental Analysis, Potenza, Italy; 4: University of Tuscia, Viterbo, Italy; 5: University of Rome Sapienza-SIA, Rome, Italy

Round table discussion

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Mapping Forest Parameters and Forest Damage for Sustainable Forest Management from Data Fusion of Satellite Data

Xiaoli Zhang¹, Langning Huo², Ning Zhang³, Henrik Persson², Yueting Wang¹, Eva Lindberg², Niwen Li¹, Ivan Huuva², Guoqi Chai¹, Lingting Lei¹, Long Chen¹, Johan Fransson², Xiang Jia¹, Zongqi Yao¹

1: Beijing Forestry University, China; 2: Swedish University of Agricultural Sciences, Sweden; 3: Beijing Research Center for Information Technology in Agriculture, China

Characterization Of Vegetated Areas Using Time-Series Of Polarimetric Sar Data And Tomographic Processing

Laurent Ferro-Famil^1,2, Erxue Chen³, Zengyuan Li³, Zhao Lei³, Wen Hong⁴, Qian Yin⁵, Xinwu Li⁴, Xing Peng⁶, Thuy Le Toan²

1: ISAE-SUPAERO & CESBIO, France; 2: CESBIO, France; 3: CAF/IFRIT, Beijing, China; 4: AIRCAS, Beijing, China; 5: BUCT, Beijing, China; 6: U. of Geosciences, Wuhan, China

3^rd Year Progress of CEFO Project (China-ESA Forest Observation)

Yong Pang^1,2, Juan Suárez⁴, James Hitchcock⁴, Gerrard English⁴, Liming Du^1,2, Wen Jia^1,2, Antony Walker⁴, Jacqueline Rosette³, Zengyuan Li^1,2, Shiming Li^1,2, Shili Meng^1,2, Xiaodong Niu^1,2, Tao Yu^1,2, Xiaojun Liang^1,2, Ming Yan^1,2, Qian Lv^1,2

1: Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China;; 2: Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China;; 3: Global Environmental Modelling and Earth Observation (GEMEO), Department of Geography, Swansea University, Swansea SA2 8PP, UK; 4: Forest Research, Northern Research Station, Roslin, Midlothian EH25 9SY, Scotland, UK

Grassland Degradation Detection and Assessment by Remotre Sensing

Bin Sun¹, Zhihai Gao¹, Alan Grainger², Xiaosong Li³, Yifu Li¹, Ziyu Yan¹, Wei Yue¹

1: 1 Institute of Forest Resource Information Techniques, Chinese Academy of Forestry; 2: School of Geography ,University of Leeds; 3: Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences