Monitoring temperate forest degradation on Google Earth Engine using Landsat time series analysis
Current estimates of forest degradation are associated with large uncertainties. However,
recent advancements in the availability of remote sensing data (eg, the free data policies of …
recent advancements in the availability of remote sensing data (eg, the free data policies of …
[HTML][HTML] Mapping grassland mowing events across Germany based on combined Sentinel-2 and Landsat 8 time series
Spatially explicit knowledge on grassland extent and management is critical to understand
and monitor the impact of grassland use intensity on ecosystem services and biodiversity …
and monitor the impact of grassland use intensity on ecosystem services and biodiversity …
[HTML][HTML] Quantifying drought effects in Central European grasslands through regression-based unmixing of intra-annual Sentinel-2 time series
Severe droughts caused unprecedented impacts on grasslands in Central Europe in 2018
and 2019. Yet, spatially varying drought impacts on grasslands remain poorly understood as …
and 2019. Yet, spatially varying drought impacts on grasslands remain poorly understood as …
Monitoring shifting cultivation in Laos with Landsat time series
Shifting cultivation is an agricultural practice in which plots of land are cultivated temporarily,
then abandoned, and vegetation is allowed to regenerate during fallow periods. Shifting …
then abandoned, and vegetation is allowed to regenerate during fallow periods. Shifting …
Spatial validation of spectral unmixing results: A systematic review
RM Cavalli - Remote Sensing, 2023 - mdpi.com
The pixels of remote images often contain more than one distinct material (mixed pixels),
and so their spectra are characterized by a mixture of spectral signals. Since 1971, a shared …
and so their spectra are characterized by a mixture of spectral signals. Since 1971, a shared …
[HTML][HTML] A generalized framework for drought monitoring across central European grassland gradients with Sentinel-2 time series
Fractional cover time series of photosynthetic vegetation (PV), non-photosynthetic
vegetation (NPV), and soil from remote sensing provide essential detail to understand how …
vegetation (NPV), and soil from remote sensing provide essential detail to understand how …
Object-based change detection for vegetation disturbance and recovery using Landsat time series
Z Wang, C Wei, X Liu, L Zhu, Q Yang… - GIScience & Remote …, 2022 - Taylor & Francis
Accurate characterization of historical trends in vegetation change at the landscape scale is
necessary for resource management and ecological assessment. Vegetation disturbance …
necessary for resource management and ecological assessment. Vegetation disturbance …
[HTML][HTML] Multidecadal grassland fractional cover time series retrieval for Germany from the Landsat and Sentinel-2 archives
Time series data provided by the Sentinel-2 and Landsat satellite missions offer manifold
opportunities for grassland monitoring. The high intra-annual observation density of Sentinel …
opportunities for grassland monitoring. The high intra-annual observation density of Sentinel …
[HTML][HTML] Learning the variations in annual spectral-temporal metrics to enhance the transferability of regression models for land cover fraction monitoring
Monitoring the Earth by annually mapping land cover (LC) fractions helps to better
understand the ongoing processes and changes of land use and land management. At 10 to …
understand the ongoing processes and changes of land use and land management. At 10 to …
Spatio‐temporal dynamics of aboveground biomass in China's oasis grasslands between 1989 and 2021
P Chen, S Wang, Y Liu, Y Wang, J Song, Q Tang… - Earth's …, 2024 - Wiley Online Library
Grassland provides multiple ecosystem services and plays a key role in preventing desert
encroachment and maintaining oasis stability. In China, the area of cropland in oases has …
encroachment and maintaining oasis stability. In China, the area of cropland in oases has …