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To apply Remote Sensing for global Environment and Disaster Study using Satellite Imagery in South-East Asia, the Pacific and other regions and promote Geoinformatic education and capacity building to new generation for global green biodiversity preservation and balancing |
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Keywords
- Computational Sciences for Remote Sensing and Spatial Data Analysis
- Satellite imagery
- Global Environment and Disaster Monitoring
- Spatial Data Visualization, Geo-Visualization
- Near Real-time Automatic Multi-Temporal (Time-Series) Geo-Spatial Data Analysis
- Global Warming and
Climate Change
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1. Global Environment and Disaster Monitoring
- Thermal Remote Sensing
- Earth/Land Surface Temperature (LST)
- Active Fire / Wild Fire / Forest Fire / Burn Area
- Drought
- Volcano Eruption
- Greenhouse Gases Emission Detection and monitoring
- Global Warming / Climate Change
- Solar Energy
- Remote Sensing and Oceanography
- Sea Surface Temperature (SST)
- Chlorophyll-a Concentration,
- Ocean Color Monitoring
- Sediment estimation
- Water Quality
- Atmospheric Remote Sensing
- Air Quality, Dust Storm monitoring
- Automatic Clouds Detection
- Atmospheric Correction
- Urban Environment Study
- Cryosphere Remote Sensing using MODIS
- Snow, Ice and Glacier Cover Monitoring
- Remote Sensing, GIS for Public Health
2. System Development
- Near-Realtime Automatic Remote Sensing Imagery Processing System
- System Design and Development
with the following characteristics:
- Apply Computational Sciences
- Fully Automatic
- Near Real-time mode
- Multi-temporal resolution / Time-Series
- Multi-spatial resolution (from low to high resolution)
- Big Data Parallel Processing
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