CarbonMap
A geospatial AI dashboard for mapping agro-industrial residue suitability for biomass-derived carbon nanomaterial production in West Java, Indonesia.
Interactive Geospatial Dashboard
Layer and Filters
District boundary
Rule-based suitability
ML predicted suitability
U-Net predicted suitability
U-Net prediction confidence
Agro-industrial facilities
Major roads
Residue potential by district
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Model Comparison
Suitability Legend
Very Low
Low
Moderate
High
Very High
Confidence Ramp
LowHigh
Selected Feature
Name: Not available
Displayed class: Not available
Rule class: Not available
Residue: Not available
Commodity: Not available
Class Distribution
Hotspot Explorer
| Rank | District | Class |
|---|
Project Information
- Author
- Dimas Bangkit Sanjaya, Desvita Nursayla Putri Cantika, Salwa Asysyifa Khoerunisa, Nazwa Hilda Syafira, Muhammad Luqmanul Hakim, and Junervin
- Institution
- Agro-industrial Engineering Study Program, Faculty of Computer Science and Engineering, Universitas Linggabuana PGRI Sukabumi
- Citation
- D. B. Sanjaya et al., “CarbonMap: A multi-source geospatial AI framework for mapping agro-industrial residue potential for biomass-derived carbon nanomaterial production in West Java, Indonesia,” manuscript in preparation, 2026.
Source Categories
Sentinel-2 / Copernicus spectral indices
VIIRS nighttime lights
ESA WorldCover and cropland mask
OpenStreetMap major roads
West Java district boundaries
Agro-industrial facility candidates
Agricultural production and residue estimates
Rule-based, ML, U-Net, and DeepLabV3Plus model outputs