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 …

[HTML][HTML] TransU-Net++: Rethinking attention gated TransU-Net for deforestation mapping

A Jamali, SK Roy, J Li, P Ghamisi - International Journal of Applied Earth …, 2023 - Elsevier
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 …

Evaluation of machine learning algorithms for forest stand species mapping using Sentinel-2 imagery and environmental data in the Polish Carpathians

E Grabska, D Frantz, K Ostapowicz - Remote Sensing of Environment, 2020 - Elsevier
Abstract Information about forest stand species distribution is essential for biodiversity
modelling, forest disturbances, fire hazard and drought monitoring, biomass and carbon …

Forest stand species mapping using the Sentinel-2 time series

E Grabska, P Hostert, D Pflugmacher, K Ostapowicz - Remote Sensing, 2019 - mdpi.com
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 …

Mapping agricultural land abandonment from spatial and temporal segmentation of Landsat time series

H Yin, AV Prishchepov, T Kuemmerle, B Bleyhl… - Remote sensing of …, 2018 - Elsevier
Agricultural land abandonment is a common land-use change, making the accurate
mapping of both location and timing when agricultural land abandonment occurred …

Monitoring cropland abandonment with Landsat time series

H Yin, A Brandão Jr, J Buchner, D Helmers… - Remote Sensing of …, 2020 - Elsevier
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 …

[HTML][HTML] Understanding the robustness of spectral-temporal metrics across the global Landsat archive from 1984 to 2019–a quantitative evaluation

D Frantz, P Rufin, A Janz, S Ernst… - Remote Sensing of …, 2023 - Elsevier
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 …

[HTML][HTML] FCD-AttResU-Net: An improved forest change detection in Sentinel-2 satellite images using attention residual U-Net

K Kalinaki, OA Malik, DTC Lai - … Journal of Applied Earth Observation and …, 2023 - Elsevier
Abstract Forest Change Detection (FCD) is a critical component of natural resource
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

K Kalinaki, OA Malik, DTC Lai, RS Sukri… - Ecological …, 2023 - Elsevier
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 …

Land-cover change in the Caucasus Mountains since 1987 based on the topographic correction of multi-temporal Landsat composites

J Buchner, H Yin, D Frantz, T Kuemmerle… - Remote Sensing of …, 2020 - Elsevier
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 …