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

The Yangambi land cover change dataset covers an area of 7276km² 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 2421 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.920854 Data format: vector (shapefile, polygon - LC/LCC dataset), vector (shapefile, point - validation dataset),<br> Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),<br> Minimum mapping unit: 3ha for land cover and 0.5ha for land cover change<br> Land cover/change dataset attributes:<br> [map_codeA] - dichotomous level,<br> [map_code} - modular level,<br> [class_name] - corresponding modular class name.<br> Validation dataset attributes (not all are present):<br> [plaus200X] - corresponding class for the change map (i.e. 2000), modular level<br> [plaus200Xr] - corresponding class for the change map (i.e. 2000), aggregated classes<br> [plaus20XX] - corresponding class for the land cover map (i.e. 2015), modular level<br> [plaus20XXr] - corresponding class for the land cover map (i.e. 2015), aggregated classes<br> 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.扬甘比土地覆盖变化数据集（Yangambi Land Cover Change Dataset）覆盖面积达7276平方千米，基于联合国粮食及农业组织（FAO）土地覆盖分类系统（Land Cover Classification System, LCCS），分别以二分类（8类土地覆盖类型）与模块化（最多32类土地覆盖类型）两种层级完成制图。本研究采用高分辨率光学卫星影像生成密集时序数据，据此衍生出2019年专题土地覆盖变化图。该图集已通过独立团队的全面核查与验证，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。本次共享同时包含一套独立收集的验证数据集，该数据集基于最多14个聚合土地覆盖变化类型，共收录2421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预设的符号体系（QGIS图例文件），分别适配土地覆盖数据集与验证数据集，以简化二者的可视化流程，对应二分类与模块化两种层级。 关于点位选取、制图与验证流程的更多细节，请参阅相关学术论文：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)。相关数据集链接：https://doi.pangaea.de/10.1594/PANGAEA.920854 数据格式：矢量数据（shapefile，多边形——土地覆盖/土地覆盖变化数据集）、矢量数据（shapefile，点——验证数据集）； 地理坐标系（土地覆盖/土地覆盖变化数据集）：1984年世界大地坐标系（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]——二分类层级代码； [map_code]——模块化层级代码； [class_name]——对应模块化分类名称。 验证数据集属性（并非所有属性均存在）： [plaus200X]——变化图对应年份（如2000年）的模块化层级分类； [plaus200Xr]——变化图对应年份（如2000年）的聚合分类； [plaus20XX]——土地覆盖图对应年份（如2015年）的模块化层级分类； [plaus20XXr]——土地覆盖图对应年份（如2015年）的聚合分类。 所有属性的命名在所有shapefile中均遵循统一结构——详见表2《二分类与模块化专题土地覆盖/土地利用类型》以及相关论文的“3.5 验证数据集制作”章节。