Conference Agenda

All Authors Contribute to the Air Quality Monitoring and Analysis in Populous areas in China (AQMAP) Project.

Wuke Wang¹, Jieying Ding², Ronald van der A², Gerrit de Leeuw¹, Sarah Safieddine³, Qianqian Zhang⁴, Yingying Yan¹, Cheng Fan⁵, Zhengqiang Li⁵, Ying Zhang⁵

1: China University of Geosciences, Wuhan, China; 2: Royal Netherlands Meteorological Institute (KNMI), The Netherlands; 3: LATMOS, France; 4: National Satellite Meteorological Centre (NSMC), China; 5: Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

Evaluation of EarthCARE Atlid Aerosol Products

Ping Wang¹, Minzheng Duan², Xuemei Wang¹, Sijie Chen³, Diego Alves Gouveia¹, Dave Donovan¹, Gerd-Jan van Zadelhoff¹, Job Wiltink¹, Jan Fokke Meirink¹

1: Royal Netherlands Meteorological Institute (KNMI), The Netherlands, Netherlands, The; 2: Institute of Atmospheric Physics, Chinese Academy of Sciences, China; 3: National Satellite Meteorological Centre (NSMC), China

Marine Added-Value Products Generated by Remotely Sensed Microwave Measurements

Ferdinando Nunziata¹, Xiaofeng Yang²

1: University of Rome "La Sapienza", Italy, Italy; 2: Nanjing University, China

First Year Results of Synergistic Monitoring and Prediction of Ocean Dynamic Environment from Multi-satellite Data

Jingsong Yang¹, Huimin Li², He Wang³, Xiaohui Li¹, Lin Ren¹, Romain Husson⁴, Bertrand Chapron⁵

1: Second Institute of Oceanography, MNR, China; 2: Nanjing University of Information Science and Technology, China; 3: National Ocean Technology Center, MNR, China; 4: Collecte Localisation Satellites, France; 5: Laboratoire d’Océanographie Physique et Spatiale (LOPS), IFREMER, France

EO-AI4ResilientCities: Advancing Urban and Environmental Resilience with AI-Driven Earth Observation

Yifang Ban¹, Peijun Du², Paolo Gamba³, Linlin Lu⁴, Kun Tan⁵, Zhen Xu⁶

1: KTH Royal Institute of Technology, Sweden; 2: Nanjing University, China; 3: University of Pavia, Italy; 4: International Research Center of Big Data for Sustainable Development Goals (CBAS), China; 5: East China Normal University, China; 6: University of Science and Technology of China, China

Earth Observation in Support of Urban Security: New Insights into Urban Heat Risk and Land Subsidence Evolution

Constantinos Cartalis¹, Gong Huili², Mingliang Gao², Konstantinos Philippopoulos¹, Xiaojuan Li², Lin Zhu², Ilias Agathangelidis¹, Beibei Chen², Chaofan Zhou Zhou², Lin Guo², Anastasios Polydoros¹

1: National and Kapodistrian University of Athens, Greece; 2: Capital Normal University, China, People's Republic

Monitoring Crop Growth with Big Earth Observation Satellite Data in Support of Agricultural Management

Jinlong Fan¹, Pierre Defourny²

1: Beijing Normal University, China, China, People's Republic of; 2: Université catholique de Louvain, Belgium

Optical and Thermal Data for Analyzing Agricultural Components for Farmland Applications

Stefano Pignatti¹, Wenjiang Huang², Raffaele Casa³, Giovanni Laneve⁴, Guijun Yang⁵, Zhenhai Li⁶, Yingying Dong², Hao Yang⁵, Biyao Zhang², Linyi Liu², Simone Pascucci¹, Saham Mirzaei¹, Francesco Rossi¹

1: Institute Of Methodologies For Environmental analysis (IMAA)- Italian National Research Council (CNR), C. da S.Loja, 85050 Tito Scalo, Italy; 2: Aerospace Information Research Institute, Chinese Academy of Sciences, No.9 Dengzhuang South Road, Haidian District,Beijing 100094, P.R.China; 3: Department of Agriculture and Forestry Sciences (DAFNE), University of Tuscia, Via San Camillo de Lellis, 01100 Viterbo, Italy; 4: Scuola Ingegneria Aereospaziale (SIA), University of Rome "La Sapienza", Via Eudossiana 18, 00184 Roma, Italy; 5: National Engineering Research Center for Information Technology in Agriculture, No.11 Shuguanghuayuan Middle Road, Haidian District, P.R. China; 6: School of Surveying, Mapping and Spatial Information, Shandong University of Science and Technology 579 Qianwan Harbour Road, Huangdao District, Qingdao 266590, Shandong Province, P.R. China

Detecting Coastal Aggregation Of Macro-Plastic Litter Using Satellite X-Band SAR Imagery

Emanuele Setale

Università di Napoli Parthenope, Italy, Italy

Multi-frequency and Multi-polarization SAR Backscattering of Green Tide

Yuan Guo¹, Ferdinando Nunziata², Andrea Buono³, Maurizio Migliaccio³, Xiaofeng Li¹

1: Institute of Oceanology, Chinese Academy of Sciences, China; 2: University of Rome "La Sapienza", Italy; 3: Università di Napoli Parthenope, Italy

Evaluating and Comparing ASCAT and Sentinel-1 SAR Winds Against NDBC Buoys

Yihong Chen¹, He Wang¹, Xiaoqi Huang¹, Jianhua Zhu¹, Jingsong Yang², Roman Husson³, Bertrand Chapron⁴

1: National Ocean Technology Center, MNR, China; 2: Second Institute of Oceanography, MNR, China; 3: CLS, France; 4: IFREMER, France

Assessment of the Comprehensive Risk of Disaster-Bearing Bodies and Economic Losses in Megacities Based on Future Disaster Scenarios and Input-Output Models

Zhen Li^1,2,3, Jingjing Wang^1,2,3, Qing Zhao^1,2,3

1: Key Laboratory of Geographical Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China; 2: School of Geographic Sciences, East China Normal University, Shanghai 200241, China; 3: Key Laboratory of Spatial-Temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai 200241, China

Inversion Of The 3-D Subsurface Temperature Field In The Northwest Pacific Based On The Spatial-temporal Fusion Model

Jie Sun^1,2, Jungang Yang², Wei Cui²

1: Qingdao Innovation and Development Base of Harbin Engineering University，Qingdao, China.; 2: First Insititute of Oceanography, Ministry of Natural Resources, Qingdao, China.

To What Extent Can EnMAP Data Differentiate Between 6 Similar Winter Cereal Species? A Case Study in Wallonia (Belgium)

Maxime Troiani, Pierre Defourny

Université catholique de Louvain, Belgium, Belgium

A Case Study on Estimation of Soil NOx Emissions in East China Based on Satellite Data

Yaqiu Zhao^1,2, Qianqian Zhang², Jinlong Fan³

1: Chinese Academy of Meteorological Sciences; 2: National Satellite Meteorological Center; 3: Beijing Normal University

Study on Retrieving the Crop Cultivation Practices Using High Resolution Satellite Data

Xueyuan Qian¹, Qiaomei Su¹, Ting Feng², Jinlong Fan², Xianwei Li³

1: Taiyuan University of Technology; 2: Beijing Normal University; 3: Beidahuang Group Jiansanjiang Branch Office, Agriculture development department

Synergies of Cosmic-Ray Neutron Sensors and Remote Sensing Products for Spatial Mapping of Soil Moisture and Vegetation

Louis Trinkle¹, Martin Schrön¹, Toni Schmidt¹, Daniel Altdorff², Daniel Doktor¹, Jian Peng¹

1: Helmholtz Centre for Environmental Research (UFZ), Germany, Germany; 2: University of Potsdam, Germany

Soil Hot Extremes Are Increasing Faster Than Air Hot Extremes: Possible Implications for Agriculture

Almudena Garcia-Garcia^1,2, Louis Trinkle¹, Björn Lundt¹, Jian Peng^1,2

1: Helmholtz Centre for Environmental Research (UFZ), Germany, Germany; 2: Remote Sensing Centre for Earth System Research, Leipzig University, Germany.

Assimilation Of Satellite LST and SSM Retrievals For Irrigation Detection And Evapotranspiration Impact Over Heterogeneous Agricultural Areas

Nicola Paciolla, Chiara Corbari, Marco Mancini

Politecnico di Milano, Italy, Italy

Evapotranspiration Estimation by the Combined Use of an Energy-Water Balance Model and Geostationary Land Surface Temperature Data

Pedro Torralbo Munoz¹, Christian Bossung², Philippe Pinheiro², Kaniska Mallick², Chiara Corbari¹

1: Politecnico di Milano, Milan, Italy; 2: Luxembourg Institute of Science and Technology, Belvaux, Luxembourg

Assessing Irrigation Performance Using Remote Sensing Data and the Budyko Hypothesis: A Case Study in Northwest China

Dingwang Zhou^1,2, Chaolei Zheng¹, Li Jia¹, Massimo Menenti^1,3,4, Jing Lu¹, Qiting Chen¹

1: State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences; 2: University of Chinese Academy of Sciences; 3: Faculty of Civil Engineering and Geosciences, Delft University of Technology; 4: Institute of Tibetan Plateau Research, Chinese Academy of Sciences

Enhancing Soybean LAI Estimation Across Scales with Transfer Learning and Multi-Source Data

Qing Li, Yongyuan Gao, Yelu Zeng

China Agricultural University, China.

Normalized Solar-Induced Chlorophyll Fluorescence (SIF_n) Reveals Drought-Induced Vegetation Physiological-Structural Changes in the North China Plain

Yongyuan Gao¹, Yachang He¹, Qin Li¹, Yanan Wei¹, Tian Hu², Yelu Zeng¹

1: College of Land Science and Technology, China Agricultural University, Beijing 100083, China; 2: Department of Environment Research and Innovation, Luxembourg Institute of Science and Technology, Belvaux, Luxembourg

Integrating UAV-Derived Enhanced Disease Detection Index and Texture Features for Monitoring Southern Corn Rust Severity

Yanan Wei, Guanyu Qiao, Ke Li, Yelu Zeng

College of Land Science and Technology, China Agricultural University, Beijing 100083, China

Monitoring Actual Irrigated Cropland Area in the Hexi Corridor Based on Blue/Green Evapotranspiration using Remote Sensing Observations

Bingkui Wei^1,2, Chaolei Zheng², Dingwang Zhou^2,3, Li Jia²

1: China University of Mining and Technology, Xuzhou 221116, China; 2: State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China; 3: University of Chinese Academy of Sciences, Beijing 100049, China

Debris Flow Risk Assessment via Numerical Simulation: A Case Study in Northeast China

Xiangben Zhang¹, Lianhuan Wei¹, Xiaosong Feng¹, Yaxin Xu¹, Meng Ao¹, Christian Bignami², Cristiano Tolomei², Shiliu Wang¹, Xingyu Pan¹, Yuan Dai¹, Shanjun Liu¹, Ramesh P. Singh³

1: School of Resources and Civil Engineering, Northeastern University, Shenyang, 110819, PR China; 2: Istituto Nazionale di Geofisica e Vulcanologia, Rome, 00143, Italy; 3: Schmid College of Science and Technology, Chapman University, Orange, CA, 92866, USA

Land Subsidence and Its Potential Impact on Infrastructure in the Caudete-Villena Aquifer Area (SE Spain): Insights from EGMS Data

Maria I. Navarro-Hernandez¹, Mi Chen², Javier Valdes-Abellan¹, Marta Gomez-Cebrian¹, Roberto Tomás¹

1: University of Alicante, Alicante, Spain; 2: Capital Normal University, Beijng, China

Phase Gradient Rate-Constrained Minimum Cost Flow Method for Accurate Phase Unwrapping in Large Gradient Deformation Fields

Xiaosong Feng¹, Lianhuan Wei¹, Meng Ao¹, Yian Wang¹, Christian Bignami², Cristiano Tolomei², Xiangben Zhang¹, Shiliu Wang¹

1: School of Resources and Civil Engineering, Northeastern University, Shenyang, 110819, China; 2: Istituto Nazionale di Geofisica e Vulcanologia, Rome, 00143, Italy

Effective Quantification of Bridge Temperature Effects in PS-InSAR Time-Series Deformation Analysis

Yunyue Zhou¹, Xiaoqiong Qin^1,2, Xiaotong Guo¹, Yuzhou Liu^1,2

1: State Key Laboratory of Intelligent Geotechnics and Tunnelling (Shenzhen University); 2: Shenzhen Technology Institute of Urban Public Safety, and Key Laboratory of Urban Safety Risk Monitoring and Early Warning

Railway Deformation Zone Mapping via InSAR Phase Gradient Stacking: Chinese Section of China-Laos Railway

Yangwei Yu¹, Mengshi Yang¹, Ramon F Hanssen², Kang Yin¹, Weibin Huang¹, Hao Wu¹, Siran Chen¹

1: Yunnan University, China, China, People's Republic of; 2: Delft University of Technology，The Netherlands

Taking INSAR Point Scatterers to the Max: Optimizing the Interpretation of a Single Scatterer in Terms of Information

Lina Hagenah¹, Wietske Brouwer¹, Yuqing Wang¹, Mengshi Yang², Wouter Niessen¹, Antonio Napolitano³, Ramon Hanssen¹

1: Delft University of Technology, The Netherlands, Netherlands, The; 2: Yunnan Normal University (YNU), China; 3: University Roma Tre, Italy

A Two-Stage Method Using SegFormer and Convolutional Networks for Noise-Resistant InSAR Phase Unwrapping

XiaoHan Yang¹, Xin Tian¹, Mi Jiang²

1: Southeast University(SEU), Nanjing, China; 2: Sun Yat-sen University(SYSU), Zhuhai, China

Temporal and Spatial Subsidence Monitoring and Prediction of Reclamation Airports Based on Time-series InSAR Measurements

Yuhan Luo, Xiaoqiong Qin, Yanjie Hu, Linfu Xie

Shenzhen University (SZU), China, China, People's Republic of

Calibrating Mono-and Bi-static TomoSAR Data from the TomoSense Campaign

Yanghai Yu¹, Stefano Tebaldini², Mingsheng Liao³

1: National Space Science Center, CAS, China; 2: Politecnico di Milano, Italy; 3: Wuhan University (WHU), China

Forest Fire Scar Detection From Time-series Sentinel-1 Observations Based On Coherence Prediction Using Recurrent Neural Network

Zixuan Qin¹, Hao Feng², Lu Zhang¹, Peng Shen¹

1: Wuhan University, Wuhan 430072, China; 2: The 9th System Design Department of China Areospace Science Industry Corporation, Wuhan 430000, China;

Research Progress of Phase Linking Method in Time-Series InSAR Data Processing

Peng Shen^1,2, Changcheng Wang³, Mingsheng Liao⁴, Lu Zhang⁴, Jie Dong¹, Keren Dai²

1: School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China; 2: State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China; 3: School of Geoscience and Info-Physics, Central South University, Changsha 410083, China; 4: State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

Patterns analysis of ground deformation field in Huaibei Plain based on time-series InSAR and Independent Component Analysis

Yuhan Wan^1,2,3, Qing Zhao^1,2,3, Tianliang Yang^4,5, Jinlu Wang⁶, Xiaojun Kang⁶

1: Key Laboratory of Geographical Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China; 2: School of Geographic Sciences, East China Normal University, Shanghai 200241, China; 3: Key Laboratory of Spatial-Temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai 200241, China; 4: Key Laboratory of Land Subsidence Monitoring and Prevention, Ministry of Land and Resources, Shanghai 200072, China; 5: Shanghai Institute of Geological Survey, Shanghai 200072, China; 6: Fuyang Geo-environmental Monitoring Center, Fuyang, Anhui 236000, China

PANGEA Observatory for the Validation of Aeolus, EarthCARE, and DQ1 Aerosol Products

Andreas Karipis¹, Kalliopi Artemis Voudouri^1,2, Eleni Marinou¹, Maria Tsichla¹, Konstantinos Rizos¹, Ioanna Tsikoudi^1,3, Nikolaos Siomos⁴, Peristera Paschou¹, Georgia Peletidou², Dimitra Kouklaki¹, Alexandra Tsekeri¹, Dimitris Balis², Vassilis Amiridis¹

1: National Observatory of Athens, Greece; 2: Department of Physics, Aristotle University of Thessaloniki, Greece; 3: Department of Physics, Section of Environmental Physics-Meteorology, National and Kapodistrian University of Athens; 4: Meteorological Institute, Ludwig Maximilian Universität München (LMU), 80539 Munich, Germany

Cross-validation For Chinese And European Spaceborne High Spectral Resolution Lidars: ACDL/DQ-1, ATLID/EarthCARE And ALADIN/Aeolus

Kangwen Sun¹, Holger Baars², Guangyao Dai¹, Songhua Wu¹, Ulla Wandinger², Wenrui Long¹

1: College of Marine Technology, Ocean University of China, Qingdao, China; 2: Leibniz Institute for Tropospheric Research, Leipzig, Germany

First Validation Results for EarthCARE‘s ATLID using Ground-based Lidar Observations

Henriette Gebauer¹, Holger Baars¹, Leonard König¹, Athena Augusta Floutsi¹, Moritz Haarig¹, Annett Skupin¹, Ronny Engelmann¹, Felix Fritzsch¹, Tom Gaudek¹, Benedikt Gast¹, Luis Neves², Dietrich Althausen¹, Sabur F. Abdullaev³, Shohina Khalifaeva³, Georg Müller¹, Julian Hofer¹, Kevin Ohneiser¹, Patric Seifert¹, David Donovan⁴, Gerd-Jan van Zadelhoff⁴, Ulla Wandinger¹

1: Leibniz Institute for Tropospheric Research, Leipzig, Germany; 2: Instituto Nacional de Meteorologia e Geografia, Mindelo, Cabo Verde; 3: Physical Technical Institute, National Academy of Sciences of Tajikistan, Dushanbe, Tajikistan; 4: Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands

Aerosol and Cloud Classification and Comparison Based on Chinese and European Spaceborne High Spectral Resolution Lidar: ACDL/DQ-1 and ATLID/EarthCARE

Wenrui Long¹, Guangyao Dai¹, Songhua Wu¹, Ulla Wandinger², Holger Baars², Kangwen Sun¹, Weibiao Chen³, Jiqiao Liu³

1: Ocean University of China, China, China, People's Republic of; 2: Leibniz Institute for Tropospheric Research, Germany; 3: Chinese Academy of Sciences - Shanghai Institute of Optics and Fine Mechanics, China

Sar-Optical Image Matching Enhancement Using Conditional Generative Adversarial Networks

Aigerim Sultanbekova, Timo Balz

LIESMARS, Wuhan University (WHU), China

Memory-based Multimodal Change Detection

Limeng Zhang¹, Zenghui Zhang¹, Weiwei Guo²

1: Shanghai Jiao Tong University (SJTU), China, People's Republic of China; 2: Tongji University, China, People's Republic of China

Experiment, Simulation And Verification Of Looting Holes With SAR

Cem Sonmez Boyoglu, Timo Balz

Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan 430079, China

Robust SAR Coherence Estimation for Low-Coherence Regions Using Machine Learning

Dayuan Liu, Timo Balz

State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing (LIESMARS), Wuhan University, China

Study on FY4B/AGRI Aerosol Retrieval Algorithm and Uncertainty Analysis Based on hourly surface reflectance model

Yidan Si, Lin Chen

National Satellite Meteorological Center

Improvements In The TROPOMI Ozone Profile Retrieval To Enhance Tropospheric Ozone Detection Sensitivity

Serena Di Pede^1,2, Jieying Ding¹, Pepijn Veefkind^1,2, Arno Keppens³, Ronald J. van der A¹

1: KNMI - Royal Netherlands Meterological Institute, de Bilt, The Netherlands; 2: Delf University of Technology, Delft, The Netherlands; 3: Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium

Retrieval of Aerosol Optical Depth and Vertical Extinction Profiles from OCO-2 Oxygen  A-band Observations over China

Hailei LIU¹, Xiaoqing Zhou¹, Ping Wang², Shenglan Zhang¹, Minzheng Duan³

1: Chengdu University of Information Technology (CUIT), Chengdu, China; 2: Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands; 3: Institute of Atmospheric Physics,Chinese Academy of Sciences (IAP), Beijing, China

Observing And Quantifying Wetland Emissions Using Drone AirCore

Janne Nurmela, Marika Honkanen, Rigel Kivi, Hannakaisa Lindqvist

Finnish Meteorological Institute, Finland

Active and Passive Collaborative Remote Sensing CO2 based on DQ-1/DQ-2

Lu Zhang, Xingying Zhang, Xifeng Cao

China Meteorological Administration-National Satellite Meteorological Center, China, China, People's Republic of

Investigating Seasonal Velocity Variations Of Debris-covered And Debris-free Glaciers In High Mountain Asia

Francesca Baldacchino¹, Tobias Bolch¹, Whyjay Zheng², Lei Huang³, Ying Huang¹

1: Graz University of Technology, Austria, Austria; 2: National Central University, Taiwan; 3: Aerospace Information Research Institute, Chinese Academy of Sciences

Machine Learning-Based Methods for Precipitation Phase Discrimination in China

Wangkang She, Kun Yang

Department of Earth System Science,Ministry of Education Key Laboratory for Earth System Modeling,Global Change Research Insititute,Tsinghua University,Beijing 100084,China

An Improved Method for Estimating Glacier Velocity: A Case Study of the Yanong Glacier in the southeastern Tibetan Plateau

Jiu Chen^1,2, Li Jia¹, Massimo Menenti^1,3

1: State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences; 2: University of Chinese Academy of Sciences; 3: Faculty of Civil Engineering and Geosciences, Delft University of Technology

Modeling the water balance of selected glacierized catchments in High Mountain Asia from 1970 to 2100

Achille Jouberton^1,2,3, Thomas E. Shaw¹, Evan Miles^3,4,5, Marin Kneib^6,7, Michael McCarthy^1,3, Yota Sato⁸, Koji Fujita⁹, Francesca Pellicciotti¹

1: Institute for Science and Technology of Austria, Austria; 2: Institute of Environmental Engineering, ETH Zurich, Switzerland; 3: Swiss Federal Research Institute WSL, Birmensdorf, Switzerland; 4: University of Zurich, Department of Geography, Glaciology and Geomorphodynamics Group, Zürich, Switzerland; 5: Department of Geosciences, University of Fribourg, Switzerland; 6: Institut des Géosciences de l’Environnement, Université Grenoble-Alpes, CNRS, IRD, Grenoble, France; 7: Department of Atmospheric and Cryospheric Sciences, University of Innsbruck, Innsbruck, Austria; 8: Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokohama, Japan; 9: Graduate School of Environmental Studies, Nagoya University, Nagoya, Japan

Estimating Curie Point Depth Beneath The Tibetan Plateau And Surrounding Regions Using Bayesian Inference And Wavelet Analysis

Zhang xin

China University of Geosciences, China, China, People's Republic of

Compiled Aeromagnetic Anomaly Data Improving The Spatial Resolution Of The Lithospheric Magnetic Field Model Of China And Surroundings

Pan Zhang¹, Jinsong Du^1,2,3, Chao Chen^1,2

1: Hubei Subsurface Multi-scale Imaging Key Laboratory, School of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China; 2: Key Laboratory of Geological Survey and Evaluation of Ministry of Education, China University of Geosciences, Wuhan 430074, China; 3: State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan 430074, China

A Clustering-based Pre-training Method for Remote Sensing Semantic Segmentation

Hanwen Xu, Chenxiao Zhang, Peng Yue, Kaixuan Wang

Wuhan University (WHU), China, China, People's Republic of

Validation of Reference Forward Model Simulation of Atmospheric Radiative Transfer by Comparison with IASI Satellite Observations

Xumeng Deng, Anu Dudhia, Rui Song

Atmospheric, Oceanic, and Planetary Physics, University of Oxford, Clarendon Laboratory, Parks Road, Oxford, OX1 3PU, UK

Groundwater Level Modeling with Physics-Informed Neural Networks: A Novel Physics-Constrained and Transferable Approach

Zijian Wang^1,2,3,4, Huili Gong^1,2,3,4, Xiaojuan Li^1,2,3,4, Lin Guo^1,2,3,4, Lin Zhu^1,2,3,4, Beibei Chen^1,2,3,4, Mingliang Gao^1,2,3,4, Chaofan Zhou^1,2,3,4, Yinghai Ke^1,2,3,4, Wei Lyu^1,2,3,4

1: Capital Normal University, China, China, People's Republic of; 2: Key Laboratory of Mechanism, Prevention and Mitigation of Land Subsidence, China, People's Republic of; 3: Beijing Laboratory of Water Resources Security, China, People's Republic of; 4: Cangzhou Groundwater and Land Subsidence National Observation and Research Station, China, People's Republic of

Generating Daily High-Resolution Urban Land Surface Temperature Maps using a Conditional Diffusion Model with SDGSat-1 and VIIRS Data

Eric Josef Brune, Yifang Ban

KTH Royal Institute of Technology, Sweden, Sweden

Building Change Detection Based on a Dual-Stream Network with Adaptive Feature Fusion and Cross-Attention Guidance Using SAR and Optical Remote Sensing Imagery

Weiwei Fang^1,2,3, Taotao Zheng^1,2,3, Qing Zhao^1,2,3

1: Key Laboratory of Geographical Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China; 2: School of Geographic Sciences, East China Normal University, Shanghai 200241, China; 3: Key Laboratory of Spatial-Temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai 200241, China

A Classification Method For The Sediment Thickness Of Salt Ponds Based On Sentinel-2 Data

Yibo Zhang¹, Qiang Yin¹, Wen Hong²

1: College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, P.R. China; 2: Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, P.R. China

Time-series Detection Of Water Depth In Darbeson Salt Lake Based On Joint Multispectral Data And LiDAR Data

Minghan Huang, HaoXiang Sun, Fei Ma, Qiang Yin

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

Progressively Synergizing Individual-tree and Area‑based Approaches across Generalized Low-Density Point Cloud for Regional Biomass Estimation

Dan Kong, Yong Pang, Liming Du

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

Monitoring Growth of Regenerated Saplings Through Stratifying Forest Overstory Using Airborne LiDAR Data

Liming Du, Yong Pang, Tao Yu, Zengyuan Li

Chinese Academy of Forestry - Institute of Forest Resource Information Techniques (CAF-IFRIT), China, People's Republic of

Optical Remote Sensing of Salt Lakes from Space: Case study of Aigues Mortes salted field (South France)

Danae Feldis, Maxime Azzoni, Herve Yesou

University of Strasbourg, France, France

Forest Parameters Inversion Based on Airborne P-Band SAR Tomography: A Case Study of the Saihanba Forest

Xin Zhao¹, Jie Dong^2,3, Yanghai Yu⁴, Mingsheng Liao^1,3, Lu Zhang^1,3, Jianya Gong^1,2,3

1: State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Luoyu Road 129, Wuhan, 430079, China; 2: School of Remote Sensing and Information Engineering, Wuhan University, Luoyu Road 129, Wuhan, 430079, China; 3: Hubei Luojia Laboratory, Luoyu Road 129, Wuhan, 430079, China; 4: National Space Science Center, Chinese Academy Sciences, Beijing, 100190, China

Forest Above Ground Biomass Inversion Based on Baseline-Optimized Phase Histogram Technique

Chuanjun Wu¹, Peng Shen², Stefano Tebaldini³, Mingsheng Liao¹

1: State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China; 2: School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China; 3: Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy

Quantifying Glacier Mass Change in the Western Pamirs (2003–2024): Insights from High-Resolution DEM Time Series

Haruki Hagiwara¹, Evan Miles^2,3,4, Achille Jouberton^1,3,5, Francesca Pellicciotti¹

1: Institute of Science and Technology Austria, Klosterneuburg, Austria; 2: Glaciology and Geomorphodynamics Group, Institute of Geography, University of Zurich, Zurich, Switzerland; 3: Mountain Hydrology and Mass Movements, Swiss Federal Institute for Snow, Forest, and Landscape Research, Birmensdorf, Switzerland; 4: Department of Geosciences, University of Fribourg, Fribourg, Switzerland; 5: Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland

Recent Response Of Pamir Glaciers To Intensified Global Warming

Shaoting Ren¹, Evan S. Miles^2,3,4, Michael McCarthy^1,2, Achille Jouberton^1,2,5, Thomas E. Shaw¹, Pascal Buri⁶, Marin Kneib^5,7, Prateek Gantayat¹, Francesca Pellicciotti¹

1: Institute for Science and Technology of Austria, Austria, Austria; 2: Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Birmensdorf, Switzerland; 3: Institute of Geography, University of Zurich, Zurich, Switzerland; 4: Department of Geosciences, University of Fribourg, Switzerland; 5: Institute of Environmental Engineering & Laboratory of Hydraulics, Hydrology and Glaciology, ETH Zurich, Zurich, Switzerland; 6: Geophysical Institute, University of Alaska Fairbanks, Fairbanks, USA; 7: Institut des Géosciences de l’Environnement, Université Grenoble-Alpes, CNRS, IRD, Grenoble, France

A Sample Spatiotemporal Generation Method Using Optical-SAR Fusion For Crop Classification In Cloudy And Rainy Regions

Ruonan Gao, Timo Balz, Yuyan Yan, Boshen Chang, Qingwei Zhuang

State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China

Generation of a Continuous Bias-Free Land Surface Reanalysis Dataset Over EURO-CORDEX for 2000 to 2022

Haojin Zhao¹, Mikael Kaandorp², Harrie-Jan Hendricks Franssen¹

1: Forschungszentrum Jülich GmbH, Jülich, Germany; 2: European Centre for Medium-Range Weather Forecasts (ECMWF), Bonn, Germany

Mapping flood susceptibility using Random Forest Exploiting Satellite Observations and Geomorphic Features

Jorge Saavedra Navarro, Cinzia Albertini, Ruodan Zhuang, Salvatore Manfreda

University of Naples Federico II, Italy, Italy

Along‐Track Marine Geoid Resolution Enhancement With SWOT

Shengjun Zhang¹, Xu Chen¹, Ole Baltazar Andersen², Yongjun Jia³

1: Northeastern University, China, China, People's Republic of; 2: Technical University of Denmark, Denmark; 3: National Satellite Ocean Application Service, China

Performances in Observations of Tropical Cyclones from Simulations of Pencil- and Fan-beam Rotating Scatterometer Systems

Ziming Dong^1,2, Xingou Xu^1,2

1: National Space Science Center, CAS-NSSC, China, China, People's Republic of; 2: School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences

Cloud Top Height from a Lidar Perspective: Cirrus, Multi-Layer Clouds, and other Complex Scenarios

Sijie Chen¹, Muye Yuan², Bo Li¹, Yidan Si¹

1: National Satellite Meteorological Centre (NSMC), China; 2: Shanghai Institute of Satellite Engineering, China

Exploring Aerosol Optical Properties: Validation of EarthCARE ATLID Products with Observations and CAMS Forecast

Xuemei Wang, Ping Wang, Thanos Tsikerdekis, Dave P. Donovan, Job Wiltink, Gerd-Jan van Zadelhoff

Royal Netherlands Meteorological Institute (KNMI), The Netherlands, Netherlands, The

Reconstructing Incomplete Geomagnetic Data from SWARM Satellites using GANs

Maja Pavlovic, Yaxin Bi, Peter Nicholl

University of Ulster, UK, Ireland

Multi-Temporal InSAR Analysis of Karst-Induced Subsidence and Its Effects on Structural Stability at Gharbanyiat Area, Alexandria, Egypt

Mostafa Ewais, Timo Balz

State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing

PSSformer: A Persistent Scatters Selection Method for SAR Interferometry based on Temporal-Spatial Vision Transformers

Yifan Zhang¹, Jordi J. Mallorqui¹, Wen Wang², Yu Qiu^1,3, Yaogang Chen^1,4, Leixin Zhang^1,5, Liqun Liu^4,6

1: CommSensLab, Dept. of Signal Theory and Communications, Universitat Politècnica de Catalunya (UPC), Barcelona, Spain; 2: School of Electrical Engineering, Naval University of Engineering, Wuhan, China; 3: Department of Information Engineering, Harbin Institute of Technology, Harbin, China; 4: School of Geosciences and Info-Physics, Central South University, Changsha, China; 5: School of Environment Science and Spatial Informatics, China University of Mining and Technology, China; 6: Department of Geography, University of Manchester, Manchester, United Kingdom

Biomass Interferometric Stack Phase Calibration: Methods and Simulated Results

Naomi Petrushevsky, Marco Manzoni, Stefano Tebaldini, Yanghai Yu

Politecnico di Milano, Italy

Monitoring Selective Logging Impacts in Tropical Forests Using Sentinel-1 SAR: A Case Study in the Jamari Forest

Ana C. Teixeira^1,2, Leilson Ferreira^1,3, Matus Bakon^1,4,5, Domingos Lopes^1,3,6, Luís Pádua^1,3, Joaquim J. Sousa^1,2

1: Universidade de Trás-os-Montes e Alto Douro (UTAD), Portugal, Portugal; 2: Institute for Systems and Computer Engineering, Technology and Science Porto, Portugal; 3: Centre for the Research and Technology of Agro-Environmental and Biological Sciences, Vila Real, Portugal; 4: University of Presov (UNIPO) Presov, Slovakia; 5: insar.sk Ltd, Presov, Slovakia; 6: Fundacao Coa Parque, Rua Museu Vila Nova De Foz Coa, Portugal

Enhancing Subsidence Detection in Low-Coherence Zones: QPS-InSAR Analysis of Maceió’s Salt Mine Collapse

Ana C. Teixeira^1,2, Matus Bakon^1,3,4, Daniele Perrisin⁵, Joaquim J. Sousa^1,2

1: Universidade de Trás-os-Montes e Alto Douro (UTAD), Portugal, Portugal; 2: Institute for Systems and Computer Engineering, Technology and Science (INESC-TEC), 4200-465 Porto, Portugal; 3: insar.sk Ltd., Konstantinova 3, 08001 Presov, Slovakia; 4: Department of Finance, Accounting and Mathematical Methods, Faculty of Management and Business, University of Presov, Konstantinova 16, 08001 Presov, Slovakia; 5: RASER Limited, Unit 609, 9Wing Hong Street, Lai Chi Kok, Hong Kong, China

Soil Moisture Estimation in Olive Orchards Using Sentinel-1 SAR and Neural Networks

Ana C. Teixeira^1,2, Pedro Marques^3,4, Matus Bakon^1,5,6, Anabela Fernandes-Silva^3,4, Domingos Lopes^4,7,8, Joaquim J. Sousa^1,2

1: Universidade de Trás-os-Montes e Alto Douro (UTAD), Portugal, Portugal; 2: Institute for Systems and Computer Engineering, Technology and Science, Porto, Portugal; 3: Agronomy Department, School of Agrarian and Veterinary Sciences, University of Trás-os-Montes e Alto Douro, Vila Real, Portugal; 4: Centre for the Research and Technology of Agro-Environmental and Biological Sciences, Vila Real, Portugal; 5: Department of Environmental Economy and Management, Faculty of Management and Business, University of Presov (UNIPO), Presov, Slovakia; 6: insar.sk Ltd, Presov, Slovakia; 7: Department of Forestry Sciences and Landscape Architecture, University of Trás-os-Montes e Alto Douro, Vila Real, Portugal; 8: Fundacao Coa Parque, Rua Museu, Vila Nova De Foz Coa, Portugal

Dynamic InSAR Time Series Analysis for Near Real-time Monitoring of the BuiltEnvironment

Yuqing Wang, Wietske Brouwer, Simon van Diepen, Lina Hagenah, Freek van Leijen, Ramon Hanssen

Delft University of Technology, The Netherlands

Ionospheric Response to the May 2024 Geomagnetic Storm within the SAA Region: Analysis with MSS-1, COSMIC-2, and ground-based GNSS Data

Zhe Yang, Jinhun Du

Tongji University, China, China, People's Republic of

Mapping Ancient Irrigation Systems in Southern Iraq using High-Resolution Satellite Imagery

Hope K. Irvine¹, Jennifer L. Makovics², Louise Rayne², Jaafar Jotheri³, Michelle de Gruchy⁴, Deodato Tapete⁵, Francesca Cigna⁶

1: School of Engineering, Newcastle University, NE1 7RU, Newcastle upon Tyne, UK; 2: School of History, Classics and Archaeology, Newcastle University, NE1 7RU, Newcastle upon Tyne, UK; 3: Department of Archaeology, University of Al-Qadisiyah, Iraq; 4: United Nations Satellite Centre (UNOSAT), Geneva, Switzerland; 5: Italian Space Agency (ASI), 00133, Rome, Italy; 6: Institute of Atmospheric Sciences and Climate (ISAC), National Research Council (CNR), 00133, Rome, Italy

On the Combined Assimiation of Swath SWH and Directional Wave Spectra in the Model MFWAM : Update with Sentinel-1C Data

Lotfi Aouf¹, Leon Ferraton¹, Jiuke Wang²

1: Meteo France-CNRM, France, France; 2: Sun-Yat Sen University

Ground Heat Flux Estimates From Machine Learning Techniques

Francisco Jose Cuesta-Valero^1,2, Louis Trinkle¹, Bjorn Lundt¹, Jian Peng¹

1: Department of Remote Sensing, Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germany; 2: Institute for Earth System Science, Univsersitat Leipzig, Leipzig, Germany

ISAC and TES Algorithms Optimization for Topsoil Characterization in View of the LSTM Mission

Francesco Rossi¹, Stefano Pignatti¹, Wenjiang Huang⁵, Raffaele Casa², Giovanni Laneve³, Zhenhai Li⁴, Yingying Dong⁵, Xiaobin Xu⁴

1: Institute Of Methodologies For Environmental analysis (Imaa)- Italian National Research Council (CNR), C. Da S.Loja, 85050 Tito Scalo, Italy; 2: Department Of Agriculture And Forestry Sciences (Dafne), University Of Tuscia, Via San Camillo De Lellis, 01100 Viterbo, Italy; 3: Scuola Ingegneria Aereospaziale (SIA), University Of Rome "La Sapienza", Via Eudossiana 18, 00184 Roma, Italy; 4: Shandong University of Science and Technology (SDUST), P.R.China; 5: Aerospace Information Research Institute, Chinese Academy of Sciences, No.9 Dengzhuang South Road, Haidian District,Beijing 100094, P.R.China

Forest Type Classification Based on Combined Sentinel -1/-2 Data

Marius Rueetschi, Nataliia Rehush, Achilleas Psomas, Lars T. Waser, Christian Ginzler, Zuyuan Wang

Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Switzerland, Switzerland

Urban Functional Zone Change Detection via Multi-Source Temporal Fusion of Street View and Remote Sensing Imagery

Chenghan Yang, Hong Fang, Shanchuan Guo, Peifei Tang, Zilong Xia, Xingang Zhang, Peijun Du

Nanjing University, China, China, People's Republic of

Dynamic Monitoring of Long-term, Fine-grained Ecological Vulnerability in the Hohhot-Baotou-Ordos-Yulin Urban Agglomeration

Chunqiang Li, Shanchuan Guo, Peijun Du

Nanjing University, China

Deep Learning Advancements for Urban Change Detection Using Multitemporal SAR Images from Heterogeneous Sensors

Luigi Russo¹, Silvia Liberata Ullo², Paolo Gamba¹, Zilu Li³

1: University of Pavia, Pavia, Italy; 2: University of Sannio, Benevento, Italy; 3: AIRCAS, China