Exploring pathways linking greenspace to health: Theoretical and methodological guidance
Background In a rapidly urbanizing world, many people have little contact with natural
environments, which may affect health and well-being. Existing reviews generally conclude …
environments, which may affect health and well-being. Existing reviews generally conclude …
Advancements in the remote sensing of landscape pattern of urban green spaces and vegetation fragmentation
The recent global urban expansion has seen a massive decline and loss in the connectivity
of urban vegetation. In urban areas, some vegetation patches have increasingly become …
of urban vegetation. In urban areas, some vegetation patches have increasingly become …
[HTML][HTML] Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks
During the last two decades, forest monitoring and inventory systems have moved from field
surveys to remote sensing-based methods. These methods tend to focus on economically …
surveys to remote sensing-based methods. These methods tend to focus on economically …
Exploring land use/land cover changes, drivers and their implications in contrasting agro-ecological environments of Ethiopia
This study examined the trends, driving factors, and implications of land use/land cover
(LULC) dynamics over the past 35 years (1982–2017) in three watersheds of the drought …
(LULC) dynamics over the past 35 years (1982–2017) in three watersheds of the drought …
Wheat yellow rust detection using UAV-based hyperspectral technology
Yellow rust is a worldwide disease that poses a serious threat to the safety of wheat
production. Numerous studies on near-surface hyperspectral remote sensing at the leaf …
production. Numerous studies on near-surface hyperspectral remote sensing at the leaf …
The new hyperspectral satellite PRISMA: Imagery for forest types discrimination
Different forest types based on different tree species composition may have similar spectral
signatures if observed with traditional multispectral satellite sensors. Hyperspectral imagery …
signatures if observed with traditional multispectral satellite sensors. Hyperspectral imagery …
Evaluation of Sentinel-2 time-series for mapping floodplain grassland plant communities
Monitoring grassland plant communities is crucial for understanding and managing
biodiversity. Previous studies indicate that mapping these natural habitats from single-date …
biodiversity. Previous studies indicate that mapping these natural habitats from single-date …
Combining LiDAR and hyperspectral data for aboveground biomass modeling in the Brazilian Amazon using different regression algorithms
Accurate estimates of aboveground biomass (AGB) in tropical forests are critical for
supporting strategies of ecosystem functioning conservation and climate change mitigation …
supporting strategies of ecosystem functioning conservation and climate change mitigation …
The Effects of Spatial Resolution and Resampling on the Classification Accuracy of Wetland Vegetation Species and Ground Objects: A Study Based on High Spatial …
J Chen, Z Chen, R Huang, H You, X Han, T Yue… - Drones, 2023 - mdpi.com
When employing remote sensing images, it is challenging to classify vegetation species and
ground objects due to the abundance of wetland vegetation species and the high …
ground objects due to the abundance of wetland vegetation species and the high …
[HTML][HTML] Evaluation of urban green space in terms of thermal environmental benefits using geographical detector analysis
X Wang, Q Meng, L Zhang, D Hu - International Journal of Applied Earth …, 2021 - Elsevier
Urban green space (UGS) plays an indispensable role in urban spaces, providing important
ecological services to compensate for natural environment functions damaged by rapid …
ecological services to compensate for natural environment functions damaged by rapid …