Data for detailed temporal mapping of global human modification from 1990 to 2017

Data on the extent, patterns, and trends of human land use are critically important to support global and national priorities for conservation and sustainable development. To inform these issues, we created a series of detailed global datasets for 1990, 2000, 2010, 2015, and 2017 to evaluate temporal and spatial trends of land use modification of terrestrial lands (excluding Antarctica). Our novel datasets are detailed (0.09 km2 resolution), temporally consistent (for 1990-2015), comprehensive (11 change stressors, 14 current), robust (using an established framework and incorporating classification errors and parameter uncertainty), and strongly validated. We also provide a dataset for ~2017 with 14 stressors for an even more comprehensive dataset. Also provided is a land/water mask to support subsequent analyses. For more details on the methods, please see: Theobald, D. M., Kennedy, C., Chen, B., Oakleaf, J., Baruch-Mordo, S., and Kiesecker, J.: Earth transformed: detailed mapping of global human modification from 1990 to 2017, Earth Syst. Sci. Data., https://doi.org/10.5194/essd-2019-252, 2020 Detailed global datasets for 1990, 2000, 2010, and 2015 for land use modification of terrestrial lands (excluding Antarctica) are provided here. These data were calculated using the degree of human modification approach that combines the proportion of a pixel of a given stressor (i.e. footprint) times the intensity of that stressor (ranging from 0 to 1.0). Our novel datasets are detailed (0.09 km2 resolution), temporally consistent (for 1990-2015), comprehensive (11 change stressors, 14 current), robust (using an established framework and incorporating classification errors and parameter uncertainty), and strongly validated. We also provide a dataset for ~2017 with 14 stressors for an even more comprehensive dataset, but it should not be used to calculate change with the other datasets (1990-2015). Also provided is a land/water mask (~2015 conditions) to support subsequent analyses. The file gHM_landLakeReservoirOcean300m.zip provides a land/water mask, and differentiates land, ocean, lakes, and reservoirs to allow subsequent analyses to support subsequent analyses. We also provide 5 datasets representing major stressor groups (i.e. built-up, ag/timber, energy/mining, transportation/corridors, and human intrusion) that are components of the full dataset that contains all stressors.全球和国家层面的保护与可持续发展优先事项，亟需依托人类土地利用范围、格局与趋势相关数据予以支撑。为助力此类议题的推进，我们构建了一套针对1990年、2000年、2010年、2015年及2017年的精细化全球数据集，用于评估陆地（terrestrial lands，不含南极洲）土地利用改造的时空变化趋势。本新型数据集具备如下特性：空间分辨率（resolution）精细（0.09 km²）、时间一致性良好（针对1990-2015年时段）、覆盖维度全面（涵盖11种变化压力源（stressor）与14种现状压力源）、结果稳健可靠（采用成熟框架构建，并纳入分类误差与参数不确定性）且经过严格验证。我们还提供了一份约2017年的数据集，包含14种压力源，以实现更全面的数据集覆盖。此外，配套提供了陆地/水体掩膜（land/water mask）数据，用于支撑后续分析。如需了解方法细节，请参阅：Theobald, D. M., Kennedy, C., Chen, B., Oakleaf, J., Baruch-Mordo, S., 及 Kiesecker, J.: Earth transformed: detailed mapping of global human modification from 1990 to 2017, Earth Syst. Sci. Data., https://doi.org/10.5194/essd-2019-252, 2020 本文档提供了1990年、2000年、2010年及2015年的陆地（terrestrial lands，不含南极洲）土地利用改造精细化全球数据集。此类数据通过人类改造程度方法计算得出，该方法将给定压力源（stressor，即footprint）的像元（pixel）占比与该压力源的强度（取值范围为0至1.0）相乘。 本新型数据集具备如下特性：空间分辨率精细（0.09 km²）、时间一致性良好（针对1990-2015年时段）、覆盖维度全面（涵盖11种变化压力源与14种现状压力源）、结果稳健可靠（采用成熟框架构建，并纳入分类误差与参数不确定性）且经过严格验证。 我们还提供了一份约2017年的数据集，包含14种压力源，以实现更全面的数据集覆盖，但该数据集不可与其他1990-2015年的数据集一同用于变化量计算。此外，配套提供了基于2015年左右状况的陆地/水体掩膜数据，用于支撑后续分析。 文件gHM_landLakeReservoirOcean300m.zip包含陆地/水体掩膜数据，可区分陆地、海洋、湖泊与水库，以支撑后续分析工作。 我们还提供了5个代表主要压力源组的数据集（即建成区、农业/林业、能源/采矿、交通/廊道与人类侵扰），这些数据集是包含所有压力源的完整数据集的组成部分。