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Satellite-Derived Forest Extent Likelihood Map for Mexico

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data.nasa.gov2024-03-27 更新2025-03-26 收录
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https://data.nasa.gov/dataset/Satellite-Derived-Forest-Extent-Likelihood-Map-for/5g5d-ti3n
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This dataset provides a comparison of forest extent agreement from seven remote sensing-based products across Mexico. These satellite-derived products include European Space Agency 2020 Land Cover Map for Mexico (ESA), Globeland30 2020 (Globeland30), Commission for Environmental Cooperation 2015 Land Cover Map (CEC), Impact Observatory 2020 Land Cover Map (IO), NAIP Trained Mean Percent Cover Map (NEX-TC), Global Land Analysis and Discovery Global 2010 Tree Cover (Hansen-TC), and Global Forest Cover Change Tree Cover 30 m Global (GFCC-TC). All products included data at 10-30 m resolution and represented the state of forest or tree cover from 2010 to 2020. These seven products were chosen based on: a) feedback from end-users in Mexico; b) availability and FAIR (findable, accessible, interoperable, and replicable) data principles; and c) products representing different methodological approaches from global to regional scales. The combined agreement map documents forest cover for each satellite-derived product at 30-m resolution across Mexico. The data are in cloud optimized GeoTIFF format and cover the period 2010-2020. A shapefile is included that outlines Mexico mainland areas.

本数据集对比了七种基于遥感技术的墨西哥森林范围一致性,包括欧洲航天局2020年墨西哥陆地覆盖图(ESA)、Globeland30 2020(Globeland30)、环境合作委员会2015年陆地覆盖图(CEC)、影响观测站2020年陆地覆盖图(IO)、NAIP训练平均覆盖百分比地图(NEX-TC)、Hansen-TC全球土地分析和发现2010年树木覆盖(Hansen-TC)以及GFCC-TC全球森林覆盖变化30米全球树木覆盖。所有产品均包含10-30米分辨率的地理数据,并展示了2010年至2020年间森林或树木覆盖的现状。这七个产品的选取基于以下三个方面:a)墨西哥终端用户反馈;b)数据的可获得性和FAIR(可发现、可访问、互操作和可复制)原则;以及c)代表从全球到区域尺度不同方法论方法的产品。综合一致性地图以30米分辨率记录了墨西哥每个卫星产品的森林覆盖情况。数据采用云优化GeoTIFF格式,覆盖了2010年至2020年期间,并附有一份墨西哥大陆地区的形状文件。
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