A new index for extracting built-up land features using Landsat satellite imagery
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 ind...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
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| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/07/e3sconf_errachidia2024_03005.pdf |
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| author | Jellouli Amine Chakouri Mohcine El Hachimi Jaouad Hajaj Soufiane Jari Abdessamad Adiri Zakaria |
| author_facet | Jellouli Amine Chakouri Mohcine El Hachimi Jaouad Hajaj Soufiane Jari Abdessamad Adiri Zakaria |
| author_sort | Jellouli Amine |
| collection | DOAJ |
| description | 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). |
| format | Article |
| id | doaj-art-bcede9ad1fd24166a363da1c8517a051 |
| institution | Kabale University |
| issn | 2267-1242 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-bcede9ad1fd24166a363da1c8517a0512025-02-05T10:49:23ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016070300510.1051/e3sconf/202560703005e3sconf_errachidia2024_03005A new index for extracting built-up land features using Landsat satellite imageryJellouli Amine0Chakouri Mohcine1El Hachimi Jaouad2Hajaj Soufiane3Jari Abdessamad4Adiri Zakaria5Geomatics, Georesources and Environment Laboratory, Sultan Moulay Slimane University, Beni Mellal, Faculty of Sciences and TechniquesGeomatics, Georesources and Environment Laboratory, Sultan Moulay Slimane University, Beni Mellal, Faculty of Sciences and TechniquesGeomatics, Georesources and Environment Laboratory, Sultan Moulay Slimane University, Beni Mellal, Faculty of Sciences and TechniquesGeomatics, Georesources and Environment Laboratory, Sultan Moulay Slimane University, Beni Mellal, Faculty of Sciences and TechniquesGeomatics, Georesources and Environment Laboratory, Sultan Moulay Slimane University, Beni Mellal, Faculty of Sciences and TechniquesGeo-Environment and Mineralogical and Hydrological Prospecting, University Mohammed First, Laboratory of Geo-Heritage, Faculty of SciencesLand 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).https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/07/e3sconf_errachidia2024_03005.pdfindexremote sensingmonitoringbuilt-uplandsat |
| spellingShingle | Jellouli Amine Chakouri Mohcine El Hachimi Jaouad Hajaj Soufiane Jari Abdessamad Adiri Zakaria A new index for extracting built-up land features using Landsat satellite imagery E3S Web of Conferences index remote sensing monitoring built-up landsat |
| title | A new index for extracting built-up land features using Landsat satellite imagery |
| title_full | A new index for extracting built-up land features using Landsat satellite imagery |
| title_fullStr | A new index for extracting built-up land features using Landsat satellite imagery |
| title_full_unstemmed | A new index for extracting built-up land features using Landsat satellite imagery |
| title_short | A new index for extracting built-up land features using Landsat satellite imagery |
| title_sort | new index for extracting built up land features using landsat satellite imagery |
| topic | index remote sensing monitoring built-up landsat |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/07/e3sconf_errachidia2024_03005.pdf |
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