I will do land use land cover classification and change detection

I classify satellite imagery into land cover classes and quantify what changed between dates, with numbers you can put in a report.

WHAT I CAN DO

• Supervised classification (Random Forest, SVM, Maximum Likelihood)
• - Change detection between any two or more years
• - Urban growth and built-up expansion mapping
• - Vegetation, water, bare soil and agriculture classes
• - Transition matrix and area statistics per class
• - Accuracy assessment with confusion matrix and kappa

WHAT YOU RECEIVE

• Classified maps with legend, scale bar and north arrow
• - Classified rasters and shapefiles you can reuse
• - Area and change tables in Excel or CSV
• - Accuracy figures, reported honestly

WHY ME

Remote sensing engineer and PhD researcher at Capital Normal University, Beijing. I led an urban growth study for the Gilgit Development Authority: Sentinel-2 change detection, housing density 2017 vs 2024, UAV survey at 3-4 cm and a household survey, delivered as land use, land cover and density maps with a technical report.

Data: Landsat 5-9, Sentinel-2, Planet, UAV imagery. Tools: QGIS, ArcGIS, Google Earth Engine, Python.

Send your area and the years you want compared.