[HTML][HTML] Modeling carbon storage in urban vegetation: Progress, challenges, and opportunities
Urban vegetation (UV) and its carbon storage capacity are critical for terrestrial carbon
cycling and global sustainable development goals (SDGs). With complex spatial distribution …
cycling and global sustainable development goals (SDGs). With complex spatial distribution …
[HTML][HTML] Need and vision for global medium-resolution Landsat and Sentinel-2 data products
Global changes in climate and land use are threatening natural ecosystems, biodiversity,
and the ecosystem services people rely on. This is why it is necessary to track and monitor …
and the ecosystem services people rely on. This is why it is necessary to track and monitor …
A deep learning method for building height estimation using high-resolution multi-view imagery over urban areas: A case study of 42 Chinese cities
Abstract Knowledge of building height is critical for understanding the urban development
process. High-resolution optical satellite images can provide fine spatial details within urban …
process. High-resolution optical satellite images can provide fine spatial details within urban …
[HTML][HTML] National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series
Urban areas and their vertical characteristics have a manifold and far-reaching impact on
our environment. However, openly accessible information at high spatial resolution is still …
our environment. However, openly accessible information at high spatial resolution is still …
[HTML][HTML] Mapping crop type in Northeast China during 2013–2021 using automatic sampling and tile-based image classification
Northeast China is one of the most major grain banks in China and has an overwhelming
influence on food security. To mitigate the challenges caused by increasing food demands …
influence on food security. To mitigate the challenges caused by increasing food demands …
High-resolution maps of material stocks in buildings and infrastructures in Austria and Germany
The dynamics of societal material stocks such as buildings and infrastructures and their
spatial patterns drive surging resource use and emissions. Two main types of data are …
spatial patterns drive surging resource use and emissions. Two main types of data are …
Mapping tree species diversity in temperate montane forests using Sentinel-1 and Sentinel-2 imagery and topography data
Detailed information on spatial patterns of tree species diversity (TSD) is essential for
biodiversity assessment, forest disturbance monitoring, and the management and …
biodiversity assessment, forest disturbance monitoring, and the management and …
[HTML][HTML] Arctic shrub expansion revealed by Landsat-derived multitemporal vegetation cover fractions in the Western Canadian Arctic
Warming induced shifts in tundra vegetation composition and structure, including
circumpolar expansion of shrubs, modifies ecosystem structure and functioning with …
circumpolar expansion of shrubs, modifies ecosystem structure and functioning with …
[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] 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 …