Land cover maps of Antananarivo (capital of Madagascar) produced by processing multisource satellite imagery and geospatial reference data
We describe a reference spatial database and four land use maps of Antananarivo city produced over 2017 reference year using a methodology combining machine learning and object based image analysis (OBIA). These maps are produced by processing satellite images using the Moringa land cover processing...
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| Format: | Article |
| Language: | English |
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Elsevier
2020-08-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340920308465 |
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| author | Dupuy Stéphane Defrise Laurence Gaetano Raffaele Andriamanga Valérie Rasoamalala Eloise |
| author_facet | Dupuy Stéphane Defrise Laurence Gaetano Raffaele Andriamanga Valérie Rasoamalala Eloise |
| author_sort | Dupuy Stéphane |
| collection | DOAJ |
| description | We describe a reference spatial database and four land use maps of Antananarivo city produced over 2017 reference year using a methodology combining machine learning and object based image analysis (OBIA). These maps are produced by processing satellite images using the Moringa land cover processing chain developed in our laboratory. We use a single very high spatial resolution (VHSR) Pleiades image, a time series of Sentinel-2 and Landsat-8 images, a Digital Terrain Model (DTM) and the aforementioned reference database. According to the Moringa workflow, the Pleiades image is used to generate a suitable object layer at VHSR using a segmentation algorithm. Each object is then classified using variables from the time series and information from the DTM. The reference database used to train the supervised classification algorithm is here described, as well as the 4 land cover maps produced at four different hierarchically nested nomenclature levels. For a number of classes going from 2 to 20, overall accuracies range from 94% to 74%. Such land cover products are very rare in Madagascar, so we have decided to make them openly accessible and usable by land managers and researchers. |
| first_indexed | 2024-12-13T02:21:03Z |
| format | Article |
| id | doaj.art-f1f75a90018041e08901be742ad60ba9 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-12-13T02:21:03Z |
| publishDate | 2020-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-f1f75a90018041e08901be742ad60ba92022-12-22T00:02:47ZengElsevierData in Brief2352-34092020-08-0131105952Land cover maps of Antananarivo (capital of Madagascar) produced by processing multisource satellite imagery and geospatial reference dataDupuy Stéphane0Defrise Laurence1Gaetano Raffaele2Andriamanga Valérie3Rasoamalala Eloise4CIRAD, UMR TETIS, F-97410 Saint-Pierre, Réunion, France; CIRAD, UMR TETIS, F-34398, Montpellier, France; TETIS, AgroParisTech, CIRAD, CNRS, INRAE, Univ Montpellier, Montpellier, France; Corresponding author at: CIRAD, UMR TETIS, F-97410 Saint-Pierre, Réunion, France.CIRAD, UMR TETIS, 101, Antananarivo, Madagascar; CIRAD, UMR TETIS, F-34398, Montpellier, France; TETIS, AgroParisTech, CIRAD, CNRS, INRAE, Univ Montpellier, Montpellier, FranceCIRAD, UMR TETIS, F-34398, Montpellier, France; TETIS, AgroParisTech, CIRAD, CNRS, INRAE, Univ Montpellier, Montpellier, FranceCIRAD, UMR TETIS, 101, Antananarivo, MadagascarCIRAD, UMR TETIS, 101, Antananarivo, MadagascarWe describe a reference spatial database and four land use maps of Antananarivo city produced over 2017 reference year using a methodology combining machine learning and object based image analysis (OBIA). These maps are produced by processing satellite images using the Moringa land cover processing chain developed in our laboratory. We use a single very high spatial resolution (VHSR) Pleiades image, a time series of Sentinel-2 and Landsat-8 images, a Digital Terrain Model (DTM) and the aforementioned reference database. According to the Moringa workflow, the Pleiades image is used to generate a suitable object layer at VHSR using a segmentation algorithm. Each object is then classified using variables from the time series and information from the DTM. The reference database used to train the supervised classification algorithm is here described, as well as the 4 land cover maps produced at four different hierarchically nested nomenclature levels. For a number of classes going from 2 to 20, overall accuracies range from 94% to 74%. Such land cover products are very rare in Madagascar, so we have decided to make them openly accessible and usable by land managers and researchers.http://www.sciencedirect.com/science/article/pii/S2352340920308465Remote sensingLand cover mapSpatial databaseLandsat-8Sentinel-2Pleiades |
| spellingShingle | Dupuy Stéphane Defrise Laurence Gaetano Raffaele Andriamanga Valérie Rasoamalala Eloise Land cover maps of Antananarivo (capital of Madagascar) produced by processing multisource satellite imagery and geospatial reference data Data in Brief Remote sensing Land cover map Spatial database Landsat-8 Sentinel-2 Pleiades |
| title | Land cover maps of Antananarivo (capital of Madagascar) produced by processing multisource satellite imagery and geospatial reference data |
| title_full | Land cover maps of Antananarivo (capital of Madagascar) produced by processing multisource satellite imagery and geospatial reference data |
| title_fullStr | Land cover maps of Antananarivo (capital of Madagascar) produced by processing multisource satellite imagery and geospatial reference data |
| title_full_unstemmed | Land cover maps of Antananarivo (capital of Madagascar) produced by processing multisource satellite imagery and geospatial reference data |
| title_short | Land cover maps of Antananarivo (capital of Madagascar) produced by processing multisource satellite imagery and geospatial reference data |
| title_sort | land cover maps of antananarivo capital of madagascar produced by processing multisource satellite imagery and geospatial reference data |
| topic | Remote sensing Land cover map Spatial database Landsat-8 Sentinel-2 Pleiades |
| url | http://www.sciencedirect.com/science/article/pii/S2352340920308465 |
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