A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems
Remote sensing-based methods of aboveground biomass (AGB) estimation in forest
ecosystems have gained increased attention, and substantial research has been conducted …
ecosystems have gained increased attention, and substantial research has been conducted …
Monitoring forest structure to guide adaptive management of forest restoration: a review of remote sensing approaches
With the demand for, and scale of, ecological restoration increasing globally, effectiveness
monitoring remains a significant challenge. For forest restoration, structural complexity is a …
monitoring remains a significant challenge. For forest restoration, structural complexity is a …
[HTML][HTML] Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR
Quantifying forest biomass stocks and their dynamics is important for implementing effective
climate change mitigation measures by aiding local forest management, studying processes …
climate change mitigation measures by aiding local forest management, studying processes …
Above ground biomass estimation in an African tropical forest with lidar and hyperspectral data
The estimation of above ground biomass in forests is critical for carbon cycle modeling and
climate change mitigation programs. Small footprint lidar provides accurate biomass …
climate change mitigation programs. Small footprint lidar provides accurate biomass …
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 …
Aboveground biomass variability across intact and degraded forests in the Brazilian Amazon
Deforestation rates have declined in the Brazilian Amazon since 2005, yet degradation from
logging, fire, and fragmentation has continued in frontier forests. In this study we quantified …
logging, fire, and fragmentation has continued in frontier forests. In this study we quantified …
Fusion of airborne LiDAR data and hyperspectral imagery for aboveground and belowground forest biomass estimation
Vegetation biomass is a key biophysical parameter for many ecological and environmental
models. The accurate estimation of biomass is essential for improving the accuracy and …
models. The accurate estimation of biomass is essential for improving the accuracy and …
The role of remote sensing in process-scaling studies of managed forest ecosystems
Sustaining forest resources requires a better understanding of forest ecosystem processes,
and how management decisions and climate change may affect these processes in the …
and how management decisions and climate change may affect these processes in the …
Forest aboveground biomass estimation in Zhejiang Province using the integration of Landsat TM and ALOS PALSAR data
In remote sensing–based forest aboveground biomass (AGB) estimation research, data
saturation in Landsat and radar data is well known, but how to reduce this problem for …
saturation in Landsat and radar data is well known, but how to reduce this problem for …
Impacts of degradation on water, energy, and carbon cycling of the Amazon tropical forests
Selective logging, fragmentation, and understory fires directly degrade forest structure and
composition. However, studies addressing the effects of forest degradation on carbon, water …
composition. However, studies addressing the effects of forest degradation on carbon, water …