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    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. ...

    $117 Average bid
    $117 (평균 입찰가)
    15 건의 입찰

    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. ...

    $112 Average bid
    $112 (평균 입찰가)
    17 건의 입찰

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