Title of the Project: Urban Growth & Food Production
Challenge: Estimate land potential available for agriculture
Urbanisation in Africa is on a meteoric rise and this results in the expansion of cities/urban areas. The increase urban land area reduces the land available for crop farming and also poses a threat on protected areas and biodiversity. The availability and size of farmland has a direct impact on food production level and thus, a decreasing farmland size will result in lower food production.
We, therefore, seek to estimate land potential available for agriculture which will enable city planners protect agricultural land from urban growth through sustainable zoning.
The story behind the project:
Mr. Samuel Song is a 54 year old farmer in Kadey Department (District) in Cameroon. Mr. Song has many years of experience in farming but in recent times he has been losing a lot of land to urban development. His complaints to the city authorities have proven futile and he is afraid to lose all the land available to him in the nearest future.
Available datasets used:
- 2000 Landsat 7 ETM+ from USGS Earth Explorer
- 2019 Landsat 8 (OLI_TIRS) from Remotepixel.ca
- Administrative data from AGDIC-Hackathon website
- Forest data from AGDIC-Hackathon website
- OSM Data (Buildings, POIs) from OpenStreetMap
- Radiometric Calibration (Conversion of Digital Number to Reflectance)
- Image Subset via AOI (Area of Interest)
- Training of Sites (Identified land cover types)
- Supervised classification
- Generation of Classification maps
- Generation of charts to show trends