Authors are requested to follow the guidelines set out here and to submit respective abstracts under topics listed, but are not limited to, the followings:

1. Remote Sensing and its Applications

  • Remote Sensing for Sustainable Development
  • Land Use Applications and Land Cover Dynamics
  • Forest and Vegetation Applications and Modeling
  • Agriculture, Urban and Environment Concerns
  • Wetlands and Inland Waters Modeling
  • Numerical Weather Prediction and Data Assimilation
  • Risk and Disaster Management (Extreme Weather, Earthquakes, Volcanoes, etc)
  • Remote Sensing for Climate Change Impacts
  • Atmospheric Sounding and Ionospheric Remote Sensing
  • Ocean Biology (Color) and Water Quality
  • Ocean Temperature and Salinity

2. Algorithms and Image Processing Techniques

  • Image Segmentation
  • Patten Recognition
  • Feature Extraction and Reduction
  • Object Detection and Recognition
  • Classification and Clustering
  • Inversion Techniques
  • Change Detection and Temporal Analysis
  • Point Cloud Processing
  • Digital Elevation Modeling
  • 3D mapping
  • Data Fusion and Data Mining
  • SAR and InSAR Processing
  • Hyperspectral Data Processing and Analysis

3.Sensors, Platforms and Calibration

  • Spaceborne SAR and Hyperspectral Missions
  • LIDAR Sensors
  • UAV and Airborne Platforms
  • High Altitude Platforms
  • SAR and Microwave Sensing
  • Microwave Radiometer Calibration
  • SAR and Radar Instrument Calibration
  • Microwave Radiometer Instruments

4. Photogrammetry and its Applications

  • Close-range Photogrammetry
  • Mono- and Stereo Photogrammetry
  • Digital Surface Model and Digital Elevation Model
  • Point Cloud Generation, Processing and Analysis

5. Geo-Spatial Science, Geographic Information Systems (GIS), Web GIS and Mapping

  • Geo-Spatial Science for Sustainable Development
  • Geo-Spatial Data Services for Economic Sustainability
  • Geosciences and Remote Sensing for Disaster Management, Urban Resilience and Tourism
  • Land Management and Land Information System
  • GIS and Navigation
  • Spatial Data Analysis and Geo-Data Management
  • Web Mapping Technology and Web Map and Feature Services with Open Geo-Spatial Consortium
  • Location based services and applications

6. Cloud Computing, Big Data and AI in Remote Sensing

  • Cloud computing and storage
  • Artificial intelligence and machine learning
  • Computer vision and image processing
  • Data Analytics and AI Techniques in Remote Sensing

7. Global Navigation Satellite Systems

  • GNSS Surveying and Geodesy
  • Differential GPS and RTK (real-time kinematic) systems
  • CORS Network Real-Time Kinematic Positioning
  • Precise Point Positioning (PPP)
  • Local Area Augmentation System (LAAS) and Ground Based Augmentation System (GBAS)

8. Education and Policy

  • Education and Remote Sensing
  • Remote Sensing Data and Policy Decisions
  • Capacity Building, Education and Training
  • Legal, Ethical and Social Issues