| Issue |
E3S Web Conf.
Volume 607, 2025
6th International Conference of GIS USERS (ERRACHIDIA GIS-USERS’2024)
|
|
|---|---|---|
| Article Number | 03005 | |
| Number of page(s) | 7 | |
| Section | Cartography-Planning-Urbanism | |
| DOI | https://doi.org/10.1051/e3sconf/202560703005 | |
| Published online | 22 January 2025 | |
A new index for extracting built-up land features using Landsat satellite imagery
1 Geomatics, Georesources and Environment Laboratory, Sultan Moulay Slimane University, Beni Mellal, Faculty of Sciences and Techniques, Morocco.
2 Geo-Environment and Mineralogical and Hydrological Prospecting, University Mohammed First, Laboratory of Geo-Heritage, Faculty of Sciences, 60000 Oujda, Morocco.
* Corresponding author: aminejellouli90@gmail.com
Land features mapping in urban regions are changing rapidly over time as a result of continuous urbanization. Spatial remote sensing allows continuous monitoring of this change using multi-date image data and providing a synoptic view. In light of this, a new spectral index based on pre-existing indices is suggested for the purpose of extracting built-up features in the Beni Mellal study area utilizing two Landsat-5 TM and Landsat-8 OLI images from 2013 and 2023. This time range of ten years enables the spatial and temporal monitoring of built-up surfaces. The accuracy of the results obtained is confirmed by using Pearson's correlation to land surface temperature and the two spectral indices, the Normalized Difference Moisture Index (NDMI) and Normalized Difference Vegetation Index (NDVI).
Key words: Index / remote sensing / monitoring / built-up / Landsat
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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