遇见数据集

EnviroAtlas land cover dataset

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Zenodo2022-02-25 更新2026-05-25 收录
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This dataset contains imagery, land cover, and object layers for four of the cities covered by the EPA’s EnviroAtlas dataset: Pittsburgh, PA, Phoenix, AZ, Durham, NC, and Austin, TX. The dataset consists of 10 test tiles and 5 validation tiles in each city, with an additional 10 training tiles and 8 (total) validation tiles in Pittsburgh, subsetting the total area that the EnviroAtlas dataset covers in each city. The EnviroAtlas label definitions are explained in Pilant et al. 2020. In the processed prior files included in this dataset, channels correspond to: 0: water 1: impervious surface 2: soil and barren 3: trees and forest (and shrub in AZ) 4: grass and herbaceous Specifically, this dataset is in the same format as the "Chesapeake Land Cover" dataset and contains the following layers: NAIP 1m aerial imagery (year = 2010 for Pittsburgh, P and Phoenix, AZ, and year = 2012 for Durham NC, and Austin TX https://www.fsa.usda.gov/programs-and-services/aerial-photography/imagery-programs/naip-imagery/index https://planetarycomputer.microsoft.com/dataset/naip NLCD 2016 https://www.mrlc.gov/data OpenStreetMap roads https://www.openstreetmap.org/ OpenStreetMap waterways, waterbodies, water= max(waterways, waterbodies) https://www.openstreetmap.org/ Microsoft building footprints https://github.com/Microsoft/USBuildingFootprints EnviroAtlas 1m land cover labels: https://www.epa.gov/enviroatlas/about-data Prior probabilities of the 1m land cover labels (with OSM and building data fused into prior) Prior probabilities of the 1m land cover labels (without OSM or building data) For more information on how the OpenStreetMap layers are downloaded and processed, as well as how the prior probabilities are calculated, see the accompanying GitHub repository: Version 1.1 fixes an issue with the spatial index file.

本数据集包含美国环境保护署(Environmental Protection Agency, EPA)的EnviroAtlas数据集覆盖的四座城市的影像、土地覆盖与地物图层,分别为宾夕法尼亚州匹兹堡(Pittsburgh, PA)、亚利桑那州菲尼克斯(Phoenix, AZ)、北卡罗来纳州达勒姆(Durham, NC)与德克萨斯州奥斯汀(Austin, TX)。该数据集在每座城市内均包含10个测试瓦片与5个验证瓦片;其中匹兹堡额外包含10个训练瓦片,且其验证瓦片总计为8个,所有瓦片均从各城市EnviroAtlas数据集覆盖的总区域中裁剪得到。EnviroAtlas的标签定义详见Pilant等人2020年的研究文献。在本数据集附带的预处理文件中,各通道对应类别如下:0:水体;1:不透水地表;2:土壤与裸地;3:树木与森林(亚利桑那州菲尼克斯的该通道包含灌木类地物);4:草地与草本植被。具体而言,本数据集格式与"Chesapeake Land Cover"数据集一致,包含以下图层: 1. NAIP(National Agricultural Imagery Program)1米分辨率航空影像:匹兹堡与菲尼克斯的影像年份为2010年,达勒姆与奥斯汀的影像年份为2012年,相关链接:https://www.fsa.usda.gov/programs-and-services/aerial-photography/imagery-programs/naip-imagery/index、https://planetarycomputer.microsoft.com/dataset/naip 2. 2016年国家土地覆盖数据库(National Land Cover Database, NLCD 2016),相关链接:https://www.mrlc.gov/data 3. 开放街道地图(OpenStreetMap)道路图层,相关链接:https://www.openstreetmap.org/ 4. 开放街道地图水系与水体图层:水体取值为水系与水体的最大值,相关链接:https://www.openstreetmap.org/ 5. 微软建筑轮廓数据集,相关链接:https://github.com/Microsoft/USBuildingFootprints 6. EnviroAtlas 1米分辨率土地覆盖标签,相关链接:https://www.epa.gov/enviroatlas/about-data 7. 融合开放街道地图与建筑数据后的1米土地覆盖标签先验概率 8. 未使用开放街道地图或建筑数据的1米土地覆盖标签先验概率 有关开放街道地图图层的下载与处理流程,以及先验概率的计算方法,详见配套GitHub仓库。版本1.1修复了空间索引文件的相关问题。

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Zenodo
创建时间:
2022-02-25
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