Greater Virunga Key Landscape for Conservation Land Cover Change and Validation Datasets (2019)

The Greater Virunga land cover change dataset covers an area of 39062km2 and mapped with both dichotomous (8 land cover classes) and modular (up to 32 land cover classes) levels based on FAO's Land Cover Classification System (LCCS). High-resolution optical satellite imagery were used to generate dense time-series data from which the thematic land cover change map was derived (2019). The map was fully verified and validated by an independent team to achieve the Copernicus Global Land Monitoring Programme's strict data quality requirements. An independent validation dataset was also collected and it is shared here. The validation dataset contains 2998 verified land cover points based on the [up to] 14 aggregated land cover change classes. Furthermore, two predefined symbology (QGIS legend files) for the land cover and validation datasets based on FAO's LCCS is also shared here to ease the visualization of them (Dichotomous and Modular levels). Further details regarding the sites selection, mapping and validation procedures are described in the corresponding publication: Szantoi, Zoltan; Brink, Andreas; Lupi, Andrea (2021): An update and beyond: key landscapes for conservation land cover and change monitoring, thematic and validation datasets for the African, Caribbean and Pacific region (in review, Earth System Science Data/). Related dataset: https://doi.pangaea.de/10.1594/PANGAEA.915849 Data format: vector (shapefile, polygon - LC/LCC dataset), vector (shapefile, point - validation dataset), Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326), Minimum mapping unit: 3ha for land cover and 0.5ha for land cover change Land cover/change dataset attributes: [map_codeA] - dichotomous level, [map_code} - modular level, [class_name] - corresponding modular class name. Validation dataset attributes (not all are present): [plaus200X] - corresponding class for the change map (i.e. 2000), modular level [plaus200Xr] - corresponding class for the change map (i.e. 2000), aggregated classes [plaus20XX] - corresponding class for the land cover map (i.e. 2015), modular level [plaus20XXr] - corresponding class for the land cover map (i.e. 2015), aggregated classes The naming of all attributes follow the same structure in all shapefiles - see Table 2 Dichotomous and Modular thematic land cover/use classes and in the "3.5 Validation dataset production" section in the corresponding publication.大维龙加土地覆盖变化数据集（Greater Virunga land cover change dataset）覆盖面积达39062平方千米，基于联合国粮食及农业组织（Food and Agriculture Organization, FAO）土地覆盖分类系统（Land Cover Classification System, LCCS），分别以二分类（8类土地覆盖）和模块化（最多32类土地覆盖）两个层级开展制图工作。 研究采用高分辨率光学卫星影像生成密集时序数据集，据此推导得到2019年专题土地覆盖变化图。该地图已由独立团队完成全面核查与验证，满足哥白尼全球土地监测计划（Copernicus Global Land Monitoring Programme）严苛的数据质量要求。本次共享同步包含独立采集的验证数据集，该数据集包含基于[最多]14个聚合土地覆盖变化类别的2998个经核查的土地覆盖点位。 此外，本次共享还提供了两套基于FAO LCCS预定义的土地覆盖与验证数据集符号体系（QGIS图例文件），以简化二者的可视化操作，分别对应二分类与模块化层级。 关于研究区选取、制图与验证流程的更多细节，请参阅对应发表论文：Szantoi, Zoltan; Brink, Andreas; Lupi, Andrea (2021): 升级版及拓展：非洲、加勒比与太平洋地区保护关键景观土地覆盖与变化监测、专题及验证数据集（已投稿至《地球系统科学数据》/Earth System Science Data）。 关联数据集：https://doi.pangaea.de/10.1594/PANGAEA.915849 数据格式：矢量形状文件（shapefile，多边形——土地覆盖/土地覆盖变化数据集）、矢量形状文件（shapefile，点——验证数据集） 土地覆盖/土地覆盖变化数据集地理坐标系：1984世界大地测量系统（World Geodetic System 1984, EPSG:4326）及其基准面（EPSG:6326） 最小制图单元：土地覆盖为3公顷，土地覆盖变化为0.5公顷 土地覆盖/变化数据集属性： [map_codeA]——二分类层级编码， [map_code]——模块化层级编码， [class_name]——对应模块化类别名称。 验证数据集属性（并非所有字段均存在）： [plaus200X]——变化图对应类别（如2000年），模块化层级， [plaus200Xr]——变化图对应类别（如2000年），聚合类别， [plaus20XX]——土地覆盖图对应类别（如2015年），模块化层级， [plaus20XXr]——土地覆盖图对应类别（如2015年），聚合类别。 所有矢量文件的属性命名均遵循统一结构，详见论文中的表2《二分类与模块化专题土地覆盖/利用类别》及对应论文的“3.5 验证数据集制作”章节。