High-Res Satellite LULC Mapping
Budget: $15 – $25 USD
I have secured high-resolution satellite imagery and now need a complete land-use / land-cover classification delivered as ready-to-use GIS layers. The study area is already defined; what I am missing is an experienced remote-sensing specialist who can take the raw scenes, run an accurate supervised or object-based classification in tools such as ArcGIS Pro, QGIS, ENVI or similar, and hand back clean, well-documented results.
Scope of work
• Pre-process the imagery (radiometric and atmospheric corrections, mosaicking if necessary).
• Design and execute the LULC classification that best captures urban, agricultural, water, forest and any other relevant classes present.
• Validate accuracy with an appropriate confusion matrix and brief explanation of the methodology.
• Package final deliverables as GeoTIFF rasters and corresponding vector shapefiles, all projected to the area’s standard CRS, accompanied by a concise report outlining steps, parameters and accuracy figures.
Acceptance
I will consider the job complete once the map layers open flawlessly in QGIS, overall accuracy meets accepted industry thresholds, and the report makes the workflow reproducible.
If you enjoy turning raw pixels into actionable GIS layers, this should be a straightforward project.
Scope of work
• Pre-process the imagery (radiometric and atmospheric corrections, mosaicking if necessary).
• Design and execute the LULC classification that best captures urban, agricultural, water, forest and any other relevant classes present.
• Validate accuracy with an appropriate confusion matrix and brief explanation of the methodology.
• Package final deliverables as GeoTIFF rasters and corresponding vector shapefiles, all projected to the area’s standard CRS, accompanied by a concise report outlining steps, parameters and accuracy figures.
Acceptance
I will consider the job complete once the map layers open flawlessly in QGIS, overall accuracy meets accepted industry thresholds, and the report makes the workflow reproducible.
If you enjoy turning raw pixels into actionable GIS layers, this should be a straightforward project.