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Land cover fraction map** across global biomes with Landsat data, spatially generalized regression models and spectral-temporal metrics
Map** land cover in highly heterogeneous landscapes is challenging, and classifications
have inherent limitations where the spatial resolution of remotely sensed data exceeds the …
have inherent limitations where the spatial resolution of remotely sensed data exceeds the …
[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] 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 …
Large‐scale remote sensing analysis reveals an increasing coupling of grassland vitality to atmospheric water demand
Grasslands provide important ecosystem services to society, including biodiversity, water
security, erosion control, and forage production. Grasslands are also vulnerable to droughts …
security, erosion control, and forage production. Grasslands are also vulnerable to droughts …
Beyond “greening” and “browning”: Trends in grassland ground cover fractions across Eurasia that account for spatial and temporal autocorrelation
Grassland ecosystems cover up to 40% of the global land area and provide many
ecosystem services directly supporting the livelihoods of over 1 billion people. Monitoring …
ecosystem services directly supporting the livelihoods of over 1 billion people. Monitoring …
A qualitative assessment of using ChatGPT as large language model for scientific workflow development
Background Scientific workflow systems are increasingly popular for expressing and
executing complex data analysis pipelines over large datasets, as they offer reproducibility …
executing complex data analysis pipelines over large datasets, as they offer reproducibility …
Large Language Models to the Rescue: Reducing the Complexity in Scientific Workflow Development Using ChatGPT
Scientific workflow systems are increasingly popular for expressing and executing complex
data analysis pipelines over large datasets, as they offer reproducibility, dependability, and …
data analysis pipelines over large datasets, as they offer reproducibility, dependability, and …
Effectiveness of protected areas in the Caucasus Mountains in preventing rangeland degradation
As land use intensifies globally, it increasingly exerts pressure on protected areas. Despite
open, nonforested landscapes comprising up to 40% of protected areas globally …
open, nonforested landscapes comprising up to 40% of protected areas globally …
Usable observations over Europe: evaluation of compositing windows for Landsat and Sentinel-2 time series
Landsat and Sentinel-2 data archives provide ever-increasing amounts of satellite data.
However, the availability of usable observations greatly varies spatially and temporally. Pixel …
However, the availability of usable observations greatly varies spatially and temporally. Pixel …
A half-century of land cover changes in the Caucasus derived from Corona spy satellite and Landsat images
Land cover change substantially affects ecosystems and leaves long-lasting legacies.
Unfortunately, land cover analyses typically begin in the mid-1980s, when 30-m Landsat …
Unfortunately, land cover analyses typically begin in the mid-1980s, when 30-m Landsat …