five

Uncovering major types of deforestation frontiers across the world's tropical dry woodlands

收藏
NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://zenodo.org/record/6141798
下载链接
链接失效反馈
官方服务:
资源简介:
These datasets provide maps of deforestation frontier classsification into three themed typologies (severity, spatio temporal patterns and development stage) and archetypes of major frontier patterns. We do this for tropical dry woodland worldwide, for the period of 2000 to 2020, at ~3-km spatial resolution (Coordinate System: WGS_1984_Mollweide, float format). Datasets used for this analysis are publicly available, forest cover and loss data are available at: https://data.globalforestwatch.org/. Deforestation frontiers metrics were calculated and typologies developed in RStudio 1.3.1056. We share the code used to develop frontier metrics, frontier typologies, and archetypes, together with a sample dataset summarized from the originally publicly available dataset. Further details of the datasets can be found in Buchadas et. al. (2022): https://doi.org/10.1038/s41893-022-00886-9   For further questions or issues with the datasets, please contact Ana Buchadas at ana.buchadas@geo.hu-berlin.de.

本数据集面向全球热带干旱林地,生成了森林砍伐前沿(deforestation frontier)的分类地图,将其划分为三类主题类型(严重程度、时空格局与发展阶段),并提供主要前沿格局的典型模式原型。数据集的时间跨度为2000年至2020年,空间分辨率约3千米,采用WGS_1984_Mollweide坐标系(WGS_1984_Mollweide),数据格式为浮点型(float format)。 本分析所用的数据集均为公开可得数据集,其中森林覆盖与损失数据可通过https://data.globalforestwatch.org/获取。森林砍伐前沿指标的计算与分类体系构建均在RStudio 1.3.1056集成开发环境中完成。我们公开了用于构建前沿指标、分类体系及典型模式原型的代码,同时附带一份从原始公开数据集中精简得到的示例数据集。 有关本数据集的更多详细信息可参考Buchadas等人(2022)的研究文献:https://doi.org/10.1038/s41893-022-00886-9 若对本数据集有进一步疑问或相关问题,请联系Ana Buchadas,邮箱地址为ana.buchadas@geo.hu-berlin.de。
创建时间:
2023-06-13
二维码
社区交流群
二维码
科研交流群
商业服务