[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] L-Band Synthetic Aperture Radar and Its Application for Forest Parameter Estimation, 1972 to 2024: A Review
Z Ye, J Long, T Zhang, B Lin, H Lin - Plants, 2024 - mdpi.com
Optical remote sensing can effectively capture 2-dimensional (2D) forest information, such
as woodland area and percentage forest cover. However, accurately estimating forest …
as woodland area and percentage forest cover. However, accurately estimating forest …
Aboveground biomass of salt-marsh vegetation in coastal wetlands: Sample expansion of in situ hyperspectral and Sentinel-2 data using a generative adversarial …
Coastal wetlands are main components of the “blue carbon” ecosystems in coastal zones.
Salt-marsh biomass is especially important regarding climate-change mitigation. Generating …
Salt-marsh biomass is especially important regarding climate-change mitigation. Generating …
The NASA AfriSAR campaign: Airborne SAR and lidar measurements of tropical forest structure and biomass in support of current and future space missions
In 2015 and 2016, the AfriSAR campaign was carried out as a collaborative effort among
international space and National Park agencies (ESA, NASA, ONERA, DLR, ANPN and …
international space and National Park agencies (ESA, NASA, ONERA, DLR, ANPN and …
TomoSense: A unique 3D dataset over temperate forest combining multi-frequency mono-and bi-static tomographic SAR with terrestrial, UAV and airborne lidar, and …
S Tebaldini, MM d'Alessandro, LMH Ulander… - Remote Sensing of …, 2023 - Elsevier
The TomoSense experiment was funded by the European Space Agency (ESA) to support
research on remote sensing of forested areas by means of Synthetic Aperture Radar (SAR) …
research on remote sensing of forested areas by means of Synthetic Aperture Radar (SAR) …
A new synergistic approach for Sentinel-1 and PALSAR-2 in a machine learning framework to predict aboveground biomass of a dense mangrove forest
Mangroves are well-recognized for their very high carbon sequestration potential. However,
studies on their role in global carbon cycling and climate change are hindered due to lack of …
studies on their role in global carbon cycling and climate change are hindered due to lack of …
Machine learning prediction of above-ground biomass in pure Calabrian pine (Pinus brutia Ten.) stands of the Mediterranean region, Türkiye
S Bulut - Ecological Informatics, 2023 - Elsevier
Above-ground biomass (AGB) is an important component for identifying carbon stocks,
monitoring the impacts of climate change, and evaluating merchantable timber. Accurate …
monitoring the impacts of climate change, and evaluating merchantable timber. Accurate …
First assessment of optical and microwave remotely sensed vegetation proxies in monitoring aboveground carbon in tropical Asia
Tropical Asia has shown a strong greening trend in recent years. However, detailed
knowledge about changes in carbon stocks remain uncertain as only few studies have used …
knowledge about changes in carbon stocks remain uncertain as only few studies have used …
Forest Above-Ground Biomass Inversion Using Optical and SAR Images Based on a Multi-Step Feature Optimized Inversion Model
W Zhang, L Zhao, Y Li, J Shi, M Yan, Y Ji - Remote Sensing, 2022 - mdpi.com
Forest biomass change monitoring is essential for climate change. Synthetic aperture radar
(SAR) and optimal remote sensing (RS) data are two very helpful data sources for forest …
(SAR) and optimal remote sensing (RS) data are two very helpful data sources for forest …
Cross-scale mapping of above-ground biomass and shrub dominance by integrating UAV and satellite data in temperate grassland
Shrub encroachment, characterized by the proliferation of shrubs into grasslands, is a
challenge faced by grasslands worldwide that significantly impacts livestock production and …
challenge faced by grasslands worldwide that significantly impacts livestock production and …