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Kharita Challenges

Learning paths

Each path is an ordered sequence with a stated outcome — something you will be able to do, not a topic you will have covered.

Track
Spatial Analysis3 pathsPostGIS / SQL1 pathPython1 pathRemote Sensing1 pathCartography2 pathsData Management2 paths

1 of 10 paths

  1. Rasters for the vector analyst

    Remote Sensing

    Take delivered rasters through acceptance, summarise a categorical and a continuous band correctly, compute zonal statistics across a CRS boundary without resampling the pixels, turn pixel counts into ground area on a geographic grid, and combine three rasters into one defensible table.

    Three delivered rasters — a land-cover map, a July Sentinel-2 scene, an elevation model — worked from acceptance to a programme brief: histograms, zonal statistics, band maths, pixel areas, and the projection rule that keeps them honest.

    8 steps · ~6 h · 2,150 XP

    Begins with Accept the rasters, or send them back

    Start: Accept the rasters, or send them back
    Show the 8 steps
    1. Accept the rasters, or send them backintermediateDifficulty: intermediate~35 min
    2. What is Greater London made of?beginnerDifficulty: beginner~25 min
    3. Why a cloud-optimised GeoTIFF is cheap to serveintermediateDifficulty: intermediate~30 min
    4. Which boroughs have the least tree cover?intermediateDifficulty: intermediate~40 min
    5. How green was London on 11 July 2025?intermediateDifficulty: intermediate~35 min
    6. Mean NDVI per borough, across a projection boundaryadvancedDifficulty: advanced~50 min
    7. How much of each borough lies below ten metres?intermediateDifficulty: intermediate~40 min
    8. Defend a borough greening shortlistadvancedDifficulty: advanced~110 min