Abstract

This study examined the transformation of fertile peri-urban land surrounding large Algerian cities. Khemis El Khechna municipality in Boumerdes province was a case study for this phenomenon. Researchers utilized remote sensing techniques through Geographic Information Systems (GIS) to quantify land-use change. Specifically, the Normalized Difference Vegetation Index (NDVI) contributed to finding regions with high biodiversity and healthy vegetation, while the Normalized Difference Built-up Index (NDBI) highlighted areas of concentrated buildings. This data was crucial in identifying wastelands or potential wastelands. The ultimate goal was to promote the development of such areas as an alternative to encroaching on productive farmland. The indexes and their database hold great promise for agriculture in the form of a national cadaster. The method could also be easily applied to other African countries, by promoting the utilization of wasteland and the adoption of precise farming methods.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.