Automated attribution of forest disturbance types from remote sensing data: A synthesis
Remote sensing is widely used to detect forest disturbances (eg, wildfires, harvest, or
outbreaks of pathogens or insects) over spatiotemporal scales that are infeasible to capture …
outbreaks of pathogens or insects) over spatiotemporal scales that are infeasible to capture …
Review of drivers of forest degradation and deforestation in Southeast Asia
Abstract Even though Southeast Asia is a hotspot of forest degradation and deforestation,
thorough reviews of the drivers of forest degradation and deforestation are lacking in the …
thorough reviews of the drivers of forest degradation and deforestation are lacking in the …
A spatial and temporal analysis of forest dynamics using Landsat time-series
TH Nguyen, SD Jones, M Soto-Berelov… - Remote sensing of …, 2018 - Elsevier
Understanding forest dynamics at the landscape scale is critical given the demands of
sustainable forest management and climate change mitigation. This study proposes an …
sustainable forest management and climate change mitigation. This study proposes an …
Improved change monitoring using an ensemble of time series algorithms
EL Bullock, CE Woodcock, CE Holden - Remote Sensing of Environment, 2020 - Elsevier
An ensemble of time series algorithms improves land change monitoring. The methodology
combines the Continuous Change Detection and Classification (CCDC; Zhu & Woodcock …
combines the Continuous Change Detection and Classification (CCDC; Zhu & Woodcock …
[HTML][HTML] Human or natural? Landscape context improves the attribution of forest disturbances mapped from Landsat in Central Europe
Disturbances have increased in Central Europe's forests, but whether changes in
disturbance regimes are driven by natural or human causes remains unclear. Satellite …
disturbance regimes are driven by natural or human causes remains unclear. Satellite …
Detecting forest changes using dense Landsat 8 and Sentinel-1 time series data in tropical seasonal forests
The accurate and timely detection of forest disturbances can provide valuable information for
effective forest management. Combining dense time series observations from optical and …
effective forest management. Combining dense time series observations from optical and …
Forest disturbances and the attribution derived from yearly Landsat time series over 1990–2020 in the Hengduan Mountains Region of Southwest China
Y Li, Z Wu, X Xu, H Fan, X Tong, J Liu - Forest Ecosystems, 2021 - Springer
Background Natural forests in the Hengduan Mountains Region (HDMR) have pivotal
ecological functions and provide diverse ecosystem services. Capturing long-term forest …
ecological functions and provide diverse ecosystem services. Capturing long-term forest …
Threatened ecosystems of Myanmar. An IUCN Red List of ecosystems assessment. Version 1.0.
[Excerpt:] Myanmar's Red List of Ecosystems is a tool to understand our threats and plan for
conservation and sustainable management. Forests constitute the dominant ecosystems in …
conservation and sustainable management. Forests constitute the dominant ecosystems in …
Linking disturbance history to current forest structure to assess the impact of disturbances in tropical dry forests
Tropical dry forests are widespread, harbour vast amounts of carbon and unique
biodiversity, and underpin the livelihoods of millions. A variety of natural and anthropogenic …
biodiversity, and underpin the livelihoods of millions. A variety of natural and anthropogenic …
Myanmar's terrestrial ecosystems: Status, threats and conservation opportunities
Myanmar is highly biodiverse, with more than 16,000 plant, 314 mammal, 1131 bird, 293
reptile, and 139 amphibian species. Supporting this biodiversity is a variety of natural …
reptile, and 139 amphibian species. Supporting this biodiversity is a variety of natural …