I will extract earth observation satellite data for land parcels

S
siva_arul
S
siva_arul
Siva
extract earth observation satellite data for land parcels
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extract earth observation satellite data for land parcels

About this gig

I will extract and process Earth Observation data for your land parcels, farms, fields, or areas of interest using satellite imagery and geospatial datasets.

If you have parcel boundaries in Shapefile, GeoJSON, KML, KMZ, CSV, or any GIS format, I can generate clean parcel-level statistics from satellite data such as Sentinel-2, Landsat, MODIS, ERA5, CHIRPS, DEM, soil, climate, and vegetation datasets.

I can extract indices and variables such as NDVI, EVI, NDWI, NDMI, NBR, SAVI, land surface temperature, rainfall, soil moisture, elevation, slope, land cover, crop condition indicators, and time-series trends.

  • Tool

    • Python

Get to know Siva

Siva
  • FromCzech Republic
  • Member sinceMar 2024
  • Avg. response time9 hours

  • Languages

    English, German
I am a remote sensing and GIS specialist focused on end-to-end geospatial automation. I build workflows for satellite image processing, NDVI monitoring, land cover analysis, change detection, and raster/vector data processing. I can automate data download, preprocessing, analysis, quality checks, and delivery using Python, QGIS, GDAL, Rasterio, GeoPandas, Google Earth Engine, and Apache Airflow. I help clients convert raw geospatial data into repeatable pipelines, maps, reports, and decision-ready outputs.

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