{"help":"Return the metadata of a dataset (package) and its resources. :param id: the id or name of the dataset :type id: string","success":true,"result":[{"id":"0e37cf09-ed96-449e-8237-582f0ffadee1","name":"land-cover-west-africa-250m-resolution-2006","title":"Land Cover of West Africa, 250m resolution, 2006","author":"Ursula Gessner","maintainer":"WASCAL Scientific Research Data Catalog ","maintainer_email":"sysadmin@wascal.org","license_title":"https:\/\/opendatacommons.org\/licenses\/odbl\/1.0\/","notes":"\u003Cp\u003ELand use\/cover classification of West Africa based on multi-sensor earth observation data.\u003C\/p\u003E\n\u003Cp\u003EThe regional land cover\/use map for West Africa has a spatial resolution of 250 m. It is based on earth observation data from three optical and radar sensors. Annual time series of the optical Moderate Resolution Imaging Spectroradiometer (MODIS) are used for discriminating semi-natural vegetation classes and agricultural classes. Envisat Advanced Synthetic Aperture Radar (ASAR) Wide Swath (WS) time series, in combination with MODIS data, are used for delineating permanent and seasonal water bodies. Built-up areas of two density classes are mapped based on radar imagery collected by the satellites TanDEM-X and TerraSAR-X. The accuracy assessment of the multi-sensor land cover map yields an overall accuracy of 80% at legend level 1 (9 classes) and 73% at the more detailed legend level 2 (14 classes).\u003C\/p\u003E\n\u003Cp\u003EFor further details on the mapping approach and a discussion of strengths and limitations on the approach and dataset, we refer to the following publication:\u003C\/p\u003E\n\u003Cp\u003EGessner, Ursula; Machwitz, Miriam; Esch, Thomas; Tillack, Adina; Naeimi, Vahid; Kuenzer, Claudia; Dech, Stefan (2015): Multi-sensor mapping of West African land cover using MODIS, ASAR and TanDEM-X\/TerraSAR-X data. Remote Sensing of Environment, accepted.\u003C\/p\u003E\n","url":"https:\/\/www.wascal-dataportal.org\/?q=dataset\/land-cover-west-africa-250m-resolution-2006","state":"Active","log_message":"Update to resource \u0027Couverture terrestre de l\u0027Afrique de l\u0027Ouest, r\u00e9solution de 250 m, 2006\u0027","private":true,"revision_timestamp":"Mon, 03\/04\/2024 - 20:50","metadata_created":"Mon, 10\/14\/2019 - 09:25","metadata_modified":"Mon, 03\/04\/2024 - 20:50","creator_user_id":"194c0007-bfe7-4a34-8899-abd1126a8cbd","type":"Dataset","resources":[{"id":"32b8c347-0be1-49c4-a9bd-c49dd2e78f2b","revision_id":"","url":"","description":"\u003Cp\u003EClassification de l\u0027utilisation \/ couverture des sols en Afrique de l\u0027Ouest sur la base de donn\u00e9es d\u0027observation de la Terre \u00e0 capteurs multiples.\u003C\/p\u003E\n\u003Cp\u003ELa carte r\u00e9gionale d\u2019utilisation du sol en Afrique de l\u2019Ouest a une r\u00e9solution spatiale de 250 m. Il est bas\u00e9 sur les donn\u00e9es d\u0027observation de la Terre provenant de trois capteurs optiques et radar. Les s\u00e9ries chronologiques annuelles du spectroradiadiom\u00e8tre imageur \u00e0 r\u00e9solution moyenne optique (MODIS) sont utilis\u00e9es pour discriminer les classes de v\u00e9g\u00e9tation semi-naturelles et les classes agricoles. Le radar \u00e0 synth\u00e8se d\u0027ouverture avanc\u00e9 (ASAR) d\u0027Envisat, associ\u00e9 aux donn\u00e9es MODIS, est utilis\u00e9 pour la d\u00e9limitation des masses d\u0027eau permanentes et saisonni\u00e8res. Les zones construites de deux classes de densit\u00e9 sont cartographi\u00e9es \u00e0 partir d\u0027images radar recueillies par les satellites TanDEM-X et TerraSAR-X. L\u0027\u00e9valuation de la pr\u00e9cision de la carte de la couverture terrestre multi-capteurs donne une pr\u00e9cision globale de 80% au niveau de l\u00e9gende 1 (9 classes) et de 73% au niveau de l\u00e9gende plus d\u00e9taill\u00e9 2 (14 classes).\u003C\/p\u003E\n\u003Cp\u003EPour plus de d\u00e9tails sur l\u0027approche de cartographie et une discussion sur les forces et les limites de l\u0027approche et du jeu de donn\u00e9es, nous renvoyons \u00e0 la publication suivante:\u003C\/p\u003E\n\u003Cp\u003EGessner, Ursula; Machwitz, Miriam; Esch, Thomas; Tillack, Adina; Naeimi, Vahid; Kuenzer, Claudia; Dech, Stefan (2015): Cartographie multicapteurs de la couverture terrestre de l\u0027Afrique de l\u0027Ouest \u00e0 l\u0027aide de donn\u00e9es MODIS, ASAR et TanDEM-X \/ TerraSAR-X. T\u00e9l\u00e9d\u00e9tection de l\u0027environnement, accept\u00e9e.\u003C\/p\u003E\n","format":"csv","state":"Active","revision_timestamp":"Mon, 03\/04\/2024 - 20:50","name":"Couverture terrestre de l\u0027Afrique de l\u0027Ouest, r\u00e9solution de 250 m, 2006","mimetype":"csv","size":"","created":"Mon, 10\/14\/2019 - 09:27","resource_group_id":"","last_modified":"Date changed  Mon, 03\/04\/2024 - 20:50"}],"tags":[{"id":"ffe17b96-7f29-4ca5-9f4f-e83701f97a66","vocabulary_id":"2","name":"Climate Agriculture Biodiversity Weather Soil"}]}]}