遇见数据集

Regiowood: Forest types 2019

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data.europa2024-06-27 收录
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Maps of forest types in Greater Region 2019 \- Source: Project INTERREG VA Regiowood II (https://www.regiowood2.info/) \- Data sources and processing: \- France/Lorraine: SPOT4-5 images acquired in 2005, RapidEye images acquired in 2010 and 2011. Treatment: ICube-SERTIT University of Strasbourg (https://sertit.unistra.fr) \- Belgium: aerial image coverage of 2009, 2012 and 2016, LiDAR coverage 2014. Treatment: Gembloux Agro-Bio Tech University of Liège (https://www.gembloux.ulg.ac.be/gestion-des-ressources-forestieres) \- Germany and Luxembourg: cadastral data, Landsat 8 of 2014. . Treatment: Umweltfernerkundung & GeoInformatik University of Trier (https://www.fernerkundung.uni-trier.de/) \- Data from 2016 onwards: Sentinel-2 A/B. Although the classification is based on different methodologics by region, the end result is a coherent cross-border map. The accuracy of the classification is 88 %. Please note that date of the background map data “Air images” may be different from Regiowood data depending on the sub-entity of the Greater Region.

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