Crop Water ET Mapping and crop classification map of 6 years
Budget: ₹1,500 – ₹12,500 INR
I need an up-to-date evapotranspiration (ET) map for my area of interest so I can quantify water requirements for rice and understand how those needs vary across the landscape. The final product must show a clear spatial distribution that I can drop straight into my GIS workflow.
What I already have
• A complete set of reliable weather data for the AOI.
• Coordinates and boundary files for the AOI ready to share on project start.
What I need from you
• Model the daily to seasonal ET values specifically for wheat, sugarcane and paddy using the weather records I provide and any satellite or ancillary layers you normally rely on.
• Generate a crop-classified layer so that water-requirement figures are tied directly to the crop fields within the AOI.
• Deliver the finished water-requirement map as a GeoTIFF with an accompanying metadata text file that lists data sources, processing steps, projection, and resolution.
Acceptance criteria
1. GeoTIFF aligns perfectly with the AOI boundary (no shifts, correct CRS).
2. Pixel values correspond to ET in mm/day or mm/season, clearly stated in the metadata.
3. A brief write-up (one page max) summarising methodology and any assumptions.
Accuracy and clarity of the spatial distribution are more important to me than flashy layouts, so lean on proven remote-sensing or FAO-56 methods rather than experimental approaches.
What I already have
• A complete set of reliable weather data for the AOI.
• Coordinates and boundary files for the AOI ready to share on project start.
What I need from you
• Model the daily to seasonal ET values specifically for wheat, sugarcane and paddy using the weather records I provide and any satellite or ancillary layers you normally rely on.
• Generate a crop-classified layer so that water-requirement figures are tied directly to the crop fields within the AOI.
• Deliver the finished water-requirement map as a GeoTIFF with an accompanying metadata text file that lists data sources, processing steps, projection, and resolution.
Acceptance criteria
1. GeoTIFF aligns perfectly with the AOI boundary (no shifts, correct CRS).
2. Pixel values correspond to ET in mm/day or mm/season, clearly stated in the metadata.
3. A brief write-up (one page max) summarising methodology and any assumptions.
Accuracy and clarity of the spatial distribution are more important to me than flashy layouts, so lean on proven remote-sensing or FAO-56 methods rather than experimental approaches.