基于GF-1 WFV卫星图像的中国森林覆盖地图,支持开放土地使用/覆盖数据集
Xueli Peng1,2, Guojin He3,4,5,6, Guizhou Wang1,2
1Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China.
Scientific data
|December 18, 2024
概括
通过深度学习开发了新的16米分辨率中国森林覆盖地图FCM16. 这份准确的地图为中国的生态研究和可持续森林管理提供了关键数据.
科学领域:
- 林业科学 林业科学
- 遥感 遥感 遥感 遥感
- 地理信息系统 (GIS) 是指地理信息系统.
背景情况:
- 森林对全球气候和生态至关重要,中国占世界森林面积的5%.
- 准确的森林覆盖数据对于生态研究和可持续森林管理至关重要,但目前的地图不足.
- 近几十年来,中国的森林覆盖面发生了重大变化,需要更新地图.
研究的目的:
- 为2020年制定一个精确的16米分辨率的中国森林覆盖地图.
- 为了解决缺乏高分辨率,准确的森林覆盖地图用于生态和管理目的.
- 为分析中国的森林资源提供可靠的数据集.
主要方法:
- 一个新的森林分类框架,整合弱监督的深度学习和开源数据知识.
- 使用GF-1宽视野 (WFV) 卫星图像进行数据采集.
- 开发了2020年中国16米分辨率 (FCM16) 的森林覆盖地图.
主要成果:
- FCM16地图实现了高精度,总体精度为94.64% ± 0.12%.
- 制造商的准确率达到91.12%±0.27%,用户的准确率为87.31%±0.34%,对136,385个样本点进行验证.
- 与现有数据集的比较证实了FCM16.的可靠性和优越性.
结论:
- FCM16是2020年中国森林覆盖面的可靠和准确表示.
- 这种高分辨率的森林地图是社会和生态分析的宝贵资源.
- 开发的框架为未来的高分辨率土地覆盖地图提供了一个有希望的方法.
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