The Niassa Selous Key Landscape for Conservation Land Cover and Validation Datasets (2000-2017)

The Niassa Selous land cover and change dataset covers an area of 139 163km² and mapped with 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 and change maps were derived (LC: 2017, LCC: 2000). The maps were 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 3943 verified land cover points based on the [up to] 32 modular level land cover 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). 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. 2017), modular level<br> [plaus20XXr] - corresponding class for the land cover map (i.e. 2017), 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.尼亚萨-塞卢斯土地覆盖与变化数据集（Niassa Selous land cover and change dataset）覆盖面积达139163平方千米，基于联合国粮食及农业组织（Food and Agriculture Organization, FAO）的土地覆盖分类系统（Land Cover Classification System, LCCS），以二分法（包含8种土地覆盖类别）与模块化分级（最多支持32种土地覆盖类别）两种制图层级开展制图工作。本数据集依托高分辨率光学卫星影像生成密集时序数据，由此衍生得到专题土地覆盖与变化图（土地覆盖图：2017年版，土地覆盖变化图：2000年版）。 所有制图成果均经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。本次共享的独立验证数据集共包含3943个经核实的土地覆盖样本点，对应最多32种模块化分级土地覆盖类别。 此外，本次共享还提供了两套基于FAO LCCS的预设符号系统（QGIS图例文件），分别适配土地覆盖与验证数据集，以简化成果可视化操作（分别对应二分法与模块化分级两种制图层级）。 有关研究区选取、制图与验证的详细技术细节，请参阅对应研究论文：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（已投稿，《地球系统科学数据》（Earth System Science Data））。 数据格式：矢量数据（土地覆盖/变化数据集为多边形矢量shapefile格式；验证数据集为点矢量shapefile格式）；地理坐标系：土地覆盖/变化数据集采用世界大地测量系统1984（World Geodetic System 1984, EPSG:4326），基准面为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]——二分法分级代码； [map_code]——模块化分级代码； [class_name]——对应模块化类别名称。 验证数据集属性（部分字段并非全部存在）： [plaus200X]——变化图（如2000年）对应的模块化分级类别； [plaus200Xr]——变化图（如2000年）对应的聚合类别； [plaus20XX]——土地覆盖图（如2017年）对应的模块化分级类别； [plaus20XXr]——土地覆盖图（如2017年）对应的聚合类别。 所有shapefile的属性命名遵循统一结构，详见论文表2《二分法与模块化分级专题土地覆盖/利用类别》及对应论文的“3.5 验证数据集制作”章节。