Climate change and adaptation of mountain societies in Central Asia: uncertainties, knowledge gaps, and data constraints
S Xenarios, A Gafurov, D Schmidt-Vogt… - Regional Environmental …, 2019 - Springer
Mountain societies in developing and low-income countries are highly vulnerable to the
impacts of climate change, which can severely threaten their livelihoods. The situation of …
impacts of climate change, which can severely threaten their livelihoods. The situation of …
[HTML][HTML] TransU-Net++: Rethinking attention gated TransU-Net for deforestation mapping
Deforestation has become a major cause of climate change, and as a result, both
characterizing the drivers and estimating segmentation maps of deforestation have piqued …
characterizing the drivers and estimating segmentation maps of deforestation have piqued …
Evaluation of machine learning algorithms for forest stand species mapping using Sentinel-2 imagery and environmental data in the Polish Carpathians
Abstract Information about forest stand species distribution is essential for biodiversity
modelling, forest disturbances, fire hazard and drought monitoring, biomass and carbon …
modelling, forest disturbances, fire hazard and drought monitoring, biomass and carbon …
Forest stand species mapping using the Sentinel-2 time series
Accurate information regarding forest tree species composition is useful for a wide range of
applications, both for forest management and scientific research. Remote sensing is an …
applications, both for forest management and scientific research. Remote sensing is an …
Mapping agricultural land abandonment from spatial and temporal segmentation of Landsat time series
Agricultural land abandonment is a common land-use change, making the accurate
mapping of both location and timing when agricultural land abandonment occurred …
mapping of both location and timing when agricultural land abandonment occurred …
Monitoring cropland abandonment with Landsat time series
Cropland abandonment is a widespread land-use change, but it is difficult to monitor with
remote sensing because it is often spatially dispersed, easily confused with spectrally similar …
remote sensing because it is often spatially dispersed, easily confused with spectrally similar …
[HTML][HTML] Understanding the robustness of spectral-temporal metrics across the global Landsat archive from 1984 to 2019–a quantitative evaluation
The Landsat archive is one of the richest Earth observation datasets available and provides
long-term data at fairly high temporal and spatial resolution globally. Temporal aggregation …
long-term data at fairly high temporal and spatial resolution globally. Temporal aggregation …
[HTML][HTML] FCD-AttResU-Net: An improved forest change detection in Sentinel-2 satellite images using attention residual U-Net
Abstract Forest Change Detection (FCD) is a critical component of natural resource
monitoring and conservation strategies, enabling informed decision-making. Various …
monitoring and conservation strategies, enabling informed decision-making. Various …
Spatial-temporal mapping of forest vegetation cover changes along highways in Brunei using deep learning techniques and Sentinel-2 images
Infrastructure development is a leading driver of forest cover loss in the tropics, resulting in a
significant decrease in biodiversity. With recent advancements in digital image processing …
significant decrease in biodiversity. With recent advancements in digital image processing …
Land-cover change in the Caucasus Mountains since 1987 based on the topographic correction of multi-temporal Landsat composites
Mountainous regions are changing rapidly across the world due to both land-use change
and climate change. Given the importance of mountainous regions for ecosystem services …
and climate change. Given the importance of mountainous regions for ecosystem services …