ENG
INA
Expert Field Group (EFG) Technology of Remote Sensing for Land, Coastal, and Atmospheric
Expertise Research Group (KBK)
Land, Coastal, and Atmospheric Remote Sensing Technology
A collaborative hub for remote sensing, UAV, and AI research aimed at sustainable natural resource management and supporting Net Zero Emission 2060 goals.
Explore Research Roadmap
2. Key Research Focus
2.1 Land (Terrestrial & Inland Waters)
Goal: Analyze lake ecosystem quality via RS/GIS and design sustainable mitigation programs for lake functions.
- Ecosystem Quality Monitoring: Bio-physical analysis of waters (Chlorophyll-a, TSS, temperature), trophic status, and environmental degradation.
- Environmental & Boundary Dynamics: Mapping land cover changes in catchments, ecosystem impact analysis, and lake shoreline monitoring.
2.2 Coastal & Marine
Goal: Mitigate coastal degradation, blue carbon valuation, and modernize capture fisheries.
- Degradation & Mitigation: Shoreline dynamics, bathymetry, vulnerability identification (CVI, InVEST), and coastal land-use evaluation.
- Blue Carbon & Net Zero: Quantification of mangrove/seagrass/coral carbon stocks, emission estimation, and Net Zero scenario modeling.
- Oceanography & Fishing Grounds: Development of SST/Chlorophyll algorithms, time-series prediction models, and potential fishing zone maps.
2.3 Atmosphere & Sea-Air Interaction
Goal: Evaluate satellite products, analyze rainfall patterns, study air-sea interactions, and estimate impacts of global phenomena (ENSO/IOD).
- Tropical Meteorology: Diurnal rainfall mapping and satellite data accuracy evaluation.
- Air-Sea Interaction: Study of air-sea energy exchange in coastal and offshore regions.
- Climate Correlation: Relationships between rainfall and Sea Surface Temperature (SST) anomalies.
3. Research Roadmap (2025–2030)
2025Baseline
- Establishment of coastal ecosystem & blue carbon baseline maps.
- Integration of field data, satellite imagery, and GIS.
- Initiation of cross-sector collaborations.
2026AI & Automation
- Automated mangrove detection via Machine/Deep Learning.
- Coastal Vulnerability Index (CVI) mapping.
- Algorithms for lake Trophic Status & diurnal rainfall.
2027WebGIS & Integration
- Development of spatial databases based on WebGIS.
- Fishing Ground mapping & Air-Sea interaction studies.
- Capacity building for local governments in RS data usage.
2028Carbon Market & Forecast
- Spatial recommendation models for green development.
- Supporting data for global carbon credit claims.
- Forecasting algorithms for PFZ & climate anomalies.
2029Policy Impact
- Provision of real-time forecasting data on WebGIS.
- Policy recommendations for carbon incentives & national climate mitigation.
4. Strategic Contributions
- Evidence-Based Policy: Assisting government in spatial planning (RTRW) and data-driven conservation.
- Industry & ESG: Supporting the tourism and aquaculture sectors in monitoring environmental impacts.
- Green Economy: Partnering in the development of carbon trading technology and green investments.
- Data Transparency: Providing public access to environmental quality data via digital platforms.
5. Research Activities
5.1 Ongoing Research
- Quantifying Mangrove GPP across Bali using Multi-temporal Satellite Imagery.
5.2 Completed Research
- Spatio-Temporal Variation Trends of Mangrove Canopy Cover (Benoa Bay).
- Comparing Soil Erosion Rate Predictions (USLE Method).
- Geospatial Technology: Influence of ENSO/IOD & EBBI Mapping.
- Observation of spatial patterns on rainfall response to ENSO (TMPA).
- Maritime Continent rainfall variability (TRMM era).
- Multitemporal MODIS images for rice field mapping in Bali.
- Changes in Gross Primary Production (GPP) in tourism city.
UDAYANA UNIVERSITY