Telangana LULC GeoJSON Needed
Budget: $30 – $250 AUD
I’m assembling a study that relies on precise land-use and land-cover information for the whole of Telangana, so I need a complete boundary dataset at field-level granularity. The output must be delivered as a single, well-structured GeoJSON file that I can load directly into QGIS or Python geopandas without extra conversion.
What I expect from the final file
• Coverage: the entire state of Telangana, clipped to the official state boundary.
• Detail: high-resolution polygons that distinguish individual fields or parcels, not just district or mandal outlines.
• Attributes: a clear LULC code and readable class name for every polygon (e.g., crop type, water, built-up, forest, barren, etc.).
• Projection: WGS-84 (EPSG:4326) to keep things web-map friendly.
• Clean geometry: no self-intersections, duplicates, or slivers, and topology should validate in common GIS tools.
If you already have a vetted dataset, great—just confirm its source and currency. If it needs to be compiled or digitised from satellite imagery or government layers, please outline your process so I know the quality I’m getting.
Once delivered, I’ll run a quick overlay check across sample AOIs and validate attribute consistency. After that, I can approve payment right away. Looking forward to your proposal and a fast turnaround.
What I expect from the final file
• Coverage: the entire state of Telangana, clipped to the official state boundary.
• Detail: high-resolution polygons that distinguish individual fields or parcels, not just district or mandal outlines.
• Attributes: a clear LULC code and readable class name for every polygon (e.g., crop type, water, built-up, forest, barren, etc.).
• Projection: WGS-84 (EPSG:4326) to keep things web-map friendly.
• Clean geometry: no self-intersections, duplicates, or slivers, and topology should validate in common GIS tools.
If you already have a vetted dataset, great—just confirm its source and currency. If it needs to be compiled or digitised from satellite imagery or government layers, please outline your process so I know the quality I’m getting.
Once delivered, I’ll run a quick overlay check across sample AOIs and validate attribute consistency. After that, I can approve payment right away. Looking forward to your proposal and a fast turnaround.