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FIA Landcover County Estimates - 2017 (Feature Layer)

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agdatacommons.nal.usda.gov2024-11-23 更新2025-01-22 收录
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https://agdatacommons.nal.usda.gov/articles/dataset/FIA_Landcover_County_Estimates_-_2017_Feature_Layer_/25973233/1
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This feature class represents forest area estimates (and percent sampling error) by county for the year 2017. The data was generated from the Forest Inventory Analysis (FIA) using the EVALIDator web tool (https://apps.fs.usda.gov/Evalidator/evalidator.jsp). The areas were calculated within county limits using the US Census Bureau's county spatial data (https://www.census.gov/geo/maps-data/data/cbf/cbf_counties.html). Features and attributes of the county layer were adapted to match attributes within the FIA database (FIADB) and features have been generalized by removing vertices to enhance performance. Future iterations of this dataset will be produced using refined methods and higher resolution spatial data. Metadata and DownloadsThis record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService CSV Shapefile GeoJSON KML For complete information, please visit https://data.gov.

本特征类代表2017年各县的森林面积估计值(及抽样误差百分比)。数据由森林清查分析(FIA)利用EVALIDator网络工具(https://apps.fs.usda.gov/Evalidator/evalidator.jsp)生成。面积计算在县界范围内进行,使用的是美国人口普查局的县空间数据(https://www.census.gov/geo/maps-data/data/cbf/cbf_counties.html)。县层级的要素和属性被调整以匹配FIA数据库(FIADB)内的属性,并通过移除顶点进行要素简化以优化性能。本数据集的后续版本将采用更精细的方法和更高分辨率的地理空间数据进行生成。元数据与下载:本记录来源于为https://data.gov目录提供数据的美国农业部企业数据目录。本记录的数据包括以下资源:ISO-19139元数据、ArcGIS Hub数据集、ArcGIS地理服务、CSV、Shapefile、GeoJSON。欲获取完整信息,请访问https://data.gov。
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