Abstract
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.
Highlights
Land cover maps of Antananarivo 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)
Repository name: CIRAD Dataverse Data identification number: Land Use Map: Dupuy, Stéphane; Defrise, Laurence; Gaetano, Raffaele; Burnod, Perrine, 2019, "Antananarivo - 2017 Land cover map", doi:10.18167/DVN1/NHE34C, CIRAD Dataverse, V2 Reference database: Laurence, Defrise; Andriamanga, Valérie; Rasoamalala, Eloise; Dupuy, Stéphane; Burnod, Perrine, 2019, "Antananarivo - Madagascar - 2017, Land use reference spatial database", doi:10.18167/DVN1/5TZOOW, CIRAD Dataverse, V1 Direct URL to data: Data are referenced in the CIRAD Dataverse and are hosted on CIRAD’s Aware Geographic catalog
Summary
Repository name: CIRAD Dataverse Data identification number: Land Use Map: Dupuy, Stéphane; Defrise, Laurence; Gaetano, Raffaele; Burnod, Perrine, 2019, "Antananarivo - 2017 Land cover map", doi:10.18167/DVN1/NHE34C, CIRAD Dataverse, V2 Reference database: Laurence, Defrise; Andriamanga, Valérie; Rasoamalala, Eloise; Dupuy, Stéphane; Burnod, Perrine, 2019, "Antananarivo - Madagascar - 2017, Land use reference spatial database", doi:10.18167/DVN1/5TZOOW, CIRAD Dataverse, V1 Direct URL to data: Data are referenced in the CIRAD Dataverse and are hosted on CIRAD’s Aware Geographic catalog. Tonneau, analyzing Urban Agriculture’s Contribution to a Southern City’s Resilience through Land Cover Mapping: The Case of Antananarivo, Capital of Madagascar, Remote Sensing. The reference database can be used by remote sensing specialists to assess new methods for land cover mapping and other classification algorithms. Mixed habitat Residential area Rural housing Industrial, commercial and military area Quarry, landfill and construction site Brick extraction Bare non-agricultural soil. Herbaceous savannah Shrub savannah Tree savannah Pines Water bodies Wetland Rice Watercress Vegetable crop Cassava Other rainfed crop Fallows, pasture and bare agricultural soil Fruit crop TOTAL
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