Samrath Research — Geospatial Data Portal

OPEN ACCESS   tiles.samrath-research.net

This portal serves drone-derived geospatial datasets for Andhra Pradesh — including high-resolution orthophotos, digital elevation models, and land parcel polygons. All datasets are freely accessible via standard OGC services (WMS, WFS, WMTS) and Cloud Optimised GeoTIFF (COG) endpoints. No API key required.

Vector Data — GeoServer
AP Land Parcels — Full State
WMS WFS MVT WMTS

Complete Andhra Pradesh agricultural land parcel dataset. Covers all districts from Srikakulam to Chittoor. Each polygon represents a survey parcel with crop type, sub-district, village, and irrigation details.

9,340,641 polygons EPSG:4326 2026 ogr2ogr → PostGIS 17
Attributes

D_Code, D_Name, SD_Code, SD_Name, V_Name, LGD_Code, REV_Code, Source, SurveyNo, area, khatanumbe, Crop_Super, Crop_Group, Crop_Name, variety, irrigation

Endpoints
https://tiles.samrath-research.net/geoserver/Parceltest/wms
https://tiles.samrath-research.net/geoserver/Parceltest/wfs
https://tiles.samrath-research.net/geoserver/gwc/service/wmts
Layer name: Parceltest:allstatepolygontest  |  WFS filter example: CQL_FILTER=SD_Code='507'  |  MVT format: application/vnd.mapbox-vector-tile
AP Land Parcels — District Subset (755)
WMS WFS MVT

Sub-district level parcel subset covering part of Andhra Pradesh. Same schema as the full-state dataset. Useful for testing and development — faster to load and query.

363,393 polygons EPSG:4326 ogr2ogr → PostGIS 17
Endpoints
https://tiles.samrath-research.net/geoserver/Parceltest/wms
https://tiles.samrath-research.net/geoserver/Parceltest/wfs
Layer name: Parceltest:dist_755
Raster Data — TiTiler (COG)

All raster layers are served as Cloud Optimised GeoTIFF (COG) via TiTiler. Tile URL pattern: /cog/tiles/WebMercatorQuad/{z}/{x}/{y}.png?url=<file-path>

IITT Campus — Guntur COG

High-resolution drone survey of IIT Tirupati (Guntur campus). Flown using DJI drone. Processed with OpenDroneMap (ODM) at 2 cm/pixel resolution using ultra-quality SfM photogrammetry. Includes orthophoto, Digital Surface Model (DSM), and Digital Terrain Model (DTM).

80.5568–80.5747°E, 16.4153–16.4269°N ODM v3.5.5, 2 cm/px
LayerFileSizeInfo
Orthophoto p5p6_ortho.tif 1.76 GB info
DSM p5p6_dsm.tif 1.08 GB info
DTM p5p6_dtm.tif 0.07 GB info
APSDMA Flood Survey — Vijayawada (Sep 2024) COG

Emergency drone survey flown for APSDMA (Andhra Pradesh State Disaster Management Authority) during the September 2024 Krishna river floods in Vijayawada. Three flood-affected areas surveyed: Bhavanipuram, Jakkampudi, and Singhnagar. Orthophotos and DEMs processed by student teams, converted to COG with DEFLATE compression using rio-cogeo.

Sep 3–11, 2024 Student-processed → rio-cogeo Vijayawada, Krishna District
LayerFileSizeInfo
Bhavanipuram Orthobhavanipuram_ortho.tif1.08 GBinfo
Jakkampudi Orthojakkampudi_ortho.tif0.34 GBinfo
Singhnagar Orthosinghnagar_ortho.tif1.02 GBinfo
Bhavanipuram DEMapsdma/bhavanipuram_dem.tif2.0 GBinfo
Jakkampudi DEMapsdma/jakkampudi_dem.tif0.69 GBinfo
Singhnagar DEMapsdma/singhnagar_dem.tif1.81 GBinfo
Jakkampudi Ortho (full)apsdma/jakkampudi_ortho.tif6.43 GBinfo
Mangalgiri LULC Survey (2026) COG

Land Use / Land Cover drone survey of Mangalgiri, Andhra Pradesh. Flown Jan 18–20, 2026. ~17,000 DJI images across 5 survey areas. Processed with OpenDroneMap at maximum quality (2 cm/pixel, ultra SfM, dspsift features). Additional areas still processing.

Jan 2026 ODM v3.5.5, ultra quality Mangalgiri, Guntur District
LayerFileInfo
Part 1A Orthomangalgiri_part1a.tifinfo
Parts 1B, route2, 1D, 2A — processing in progress