Land cover changes on the West-African coastline from the Saloum Delta (Senegal) to Rio Geba (Guinea-Bissau) between 1979 and 2015

To map vegetation and land cover changes on the West-African coastline using LANDSAT TM scenes taken at different dates, we applied a stacking of undirected classifications. The first step consists in interpreting the radiometric classes obtained via undirected classification so as to form the class...

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Main Author: Julien Andrieu
Format: Article
Language:English
Published: Taylor & Francis Group 2018-01-01
Series:European Journal of Remote Sensing
Subjects:
Online Access:http://dx.doi.org/10.1080/22797254.2018.1432295
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spelling doaj-d8167fe3fb3c43b0b3940042172c3eba2020-11-25T02:00:14ZengTaylor & Francis GroupEuropean Journal of Remote Sensing2279-72542018-01-0151131432510.1080/22797254.2018.14322951432295Land cover changes on the West-African coastline from the Saloum Delta (Senegal) to Rio Geba (Guinea-Bissau) between 1979 and 2015Julien Andrieu0Université Côte d’Azur, CNRS, ESPACETo map vegetation and land cover changes on the West-African coastline using LANDSAT TM scenes taken at different dates, we applied a stacking of undirected classifications. The first step consists in interpreting the radiometric classes obtained via undirected classification so as to form the classes of the thematic nomenclature. The classification is subsequently improved by increasing radiometric contrasts within each of the classes. To do so, a Principal Component Analysis is applied to the LANDSAT channel. Then, a second classification within the classes enables to reallocate correctly those pixels that were wrongly classified previously. Cross-analysing the 2015 LANDSAT images and maps from earlier decades revealed that between the end of the years 1970 and the mid-2010s, wooded areas increased by 2% for the mangrove and 3.5% for dry land. This positive result is the outcome of significant regressions of woodlands compensated by even more significant progressions. It is in the mangrove that progression prevails over regression, especially in the last fifteen years. Finally, an opposition between particularly stable sectors and particularly changing sectors was observed, given that areas having gone through two changes or more are larger than those having gone through one change only in 36 years.http://dx.doi.org/10.1080/22797254.2018.1432295Remote sensinglandcover changemangroveWest-Africachange analysis
collection DOAJ
language English
format Article
sources DOAJ
author Julien Andrieu
spellingShingle Julien Andrieu
Land cover changes on the West-African coastline from the Saloum Delta (Senegal) to Rio Geba (Guinea-Bissau) between 1979 and 2015
European Journal of Remote Sensing
Remote sensing
landcover change
mangrove
West-Africa
change analysis
author_facet Julien Andrieu
author_sort Julien Andrieu
title Land cover changes on the West-African coastline from the Saloum Delta (Senegal) to Rio Geba (Guinea-Bissau) between 1979 and 2015
title_short Land cover changes on the West-African coastline from the Saloum Delta (Senegal) to Rio Geba (Guinea-Bissau) between 1979 and 2015
title_full Land cover changes on the West-African coastline from the Saloum Delta (Senegal) to Rio Geba (Guinea-Bissau) between 1979 and 2015
title_fullStr Land cover changes on the West-African coastline from the Saloum Delta (Senegal) to Rio Geba (Guinea-Bissau) between 1979 and 2015
title_full_unstemmed Land cover changes on the West-African coastline from the Saloum Delta (Senegal) to Rio Geba (Guinea-Bissau) between 1979 and 2015
title_sort land cover changes on the west-african coastline from the saloum delta (senegal) to rio geba (guinea-bissau) between 1979 and 2015
publisher Taylor & Francis Group
series European Journal of Remote Sensing
issn 2279-7254
publishDate 2018-01-01
description To map vegetation and land cover changes on the West-African coastline using LANDSAT TM scenes taken at different dates, we applied a stacking of undirected classifications. The first step consists in interpreting the radiometric classes obtained via undirected classification so as to form the classes of the thematic nomenclature. The classification is subsequently improved by increasing radiometric contrasts within each of the classes. To do so, a Principal Component Analysis is applied to the LANDSAT channel. Then, a second classification within the classes enables to reallocate correctly those pixels that were wrongly classified previously. Cross-analysing the 2015 LANDSAT images and maps from earlier decades revealed that between the end of the years 1970 and the mid-2010s, wooded areas increased by 2% for the mangrove and 3.5% for dry land. This positive result is the outcome of significant regressions of woodlands compensated by even more significant progressions. It is in the mangrove that progression prevails over regression, especially in the last fifteen years. Finally, an opposition between particularly stable sectors and particularly changing sectors was observed, given that areas having gone through two changes or more are larger than those having gone through one change only in 36 years.
topic Remote sensing
landcover change
mangrove
West-Africa
change analysis
url http://dx.doi.org/10.1080/22797254.2018.1432295
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