Spatial Informatics Group (SIG)_CEO Interpretation - Demo Change Events
收藏NIAID Data Ecosystem2026-05-01 收录
数据链接：
官方服务：
资源简介：
Demo project forest loss/degradation from different drivers
应用场景：
创建时间：
2023-11-13
相关数据集
Reference data, predictors, and probability grids for forest degradation classes in three sites in the Brazilian Amazon
Forest degradation by fires and selective logging is widespread in the Amazon region. We implemented a gradient boosted classification modeling framework to classify intact, logged, and burned forests
DataONE2022-06-23 更新90
An integrated approach for forest degradation analysis using forest fragmentation and ensemble machine learning in Behali Wildlife Sanctuary, North-East India
The current study employs a novel ensemble machine learning model for forest degradation using forest fragmentation and influencing factors.
DataCite Commons2025-02-05 更新30
Copernicus global forest attribute layers
The spatial forest coverage is derived from the Copernicus Global Land Cover dataset for the assessment year 2019 (accessed in February 2022). We outline the procedure of pre-processing the original C
Figshare2022-09-29 更新20
Data and code for: Betts et al. 2024 Congruent long-term declines in carbon and biodiversity are a signature of forest degradation
Recent global policy initiatives aimed at reducing forest degradation require practical definitions of degradation that are readily monitored. However, consistent approaches for monitoring forest degr
Figshare2024-10-06 更新40
São Luís, Brazil by Celso H. L. Silva-Junior - part of deadtrees.earth
This dataset was supported by funding from the National Council for Scientific and Technological Development (CNPq) under the project YBYRÁ-BR: Space-Time Quantification of CO2 Emissions and Removals
DataCite Commons2025-12-22 更新30
