Spectral saturation in the remote sensing of high-density vegetation traits: A systematic review of progress, challenges, and prospects
The saturation of spectral reflectance within densely vegetated regions is a renowned
challenge that has precluded the optimal use of broad-band remotely sensed data and its …
challenge that has precluded the optimal use of broad-band remotely sensed data and its …
[HTML][HTML] Comparison of Sentinel-2 and Landsat 8 imagery for forest variable prediction in boreal region
H Astola, T Häme, L Sirro, M Molinier, J Kilpi - Remote Sensing of …, 2019 - Elsevier
We compared the performance of Sentinel-2 and Landsat 8 data for forest variable
prediction in the boreal forest of Southern Finland. We defined twelve modelling setups to …
prediction in the boreal forest of Southern Finland. We defined twelve modelling setups to …
Improving accuracy estimation of Forest Aboveground Biomass based on incorporation of ALOS-2 PALSAR-2 and Sentinel-2A imagery and machine learning: A case …
The main objective of this research is to investigate the potential combination of Sentinel-2A
and ALOS-2 PALSAR-2 (Advanced Land Observing Satellite-2 Phased Array type L-band …
and ALOS-2 PALSAR-2 (Advanced Land Observing Satellite-2 Phased Array type L-band …
Aboveground biomass estimation using multi-sensor data synergy and machine learning algorithms in a dense tropical forest
Forest aboveground biomass (AGB) is an important factor for tracking global carbon cycle to
tackle the impact of climate change. Among all available remote sensing data and methods …
tackle the impact of climate change. Among all available remote sensing data and methods …
Canopy height estimation using sentinel series images through machine learning models in a mangrove forest
Canopy height serves as a good indicator of forest carbon content. Remote sensing-based
direct estimations of canopy height are usually based on Light Detection and Ranging …
direct estimations of canopy height are usually based on Light Detection and Ranging …
Integration of GF2 optical, GF3 SAR, and UAV data for estimating aboveground biomass of China's largest artificially planted mangroves
Accurate methods to estimate the aboveground biomass (AGB) of mangroves are required
to monitor the subtle changes over time and assess their carbon sequestration. The AGB of …
to monitor the subtle changes over time and assess their carbon sequestration. The AGB of …
Research pathways of forest above-ground biomass estimation based on SAR backscatter and interferometric SAR observations
M Santoro, O Cartus - Remote Sensing, 2018 - mdpi.com
Estimation of forest biomass with synthetic aperture radar (SAR) and interferometric SAR
(InSAR) observables has been surveyed in 186 peer-reviewed papers to identify major …
(InSAR) observables has been surveyed in 186 peer-reviewed papers to identify major …
[HTML][HTML] A multi-baseline forest height estimation method combining analytic and geometric expression of the RVoG model
B Zhang, H Zhu, W Song, J Zhu, J Dai, J Zhang, C Li - Forests, 2024 - mdpi.com
As an important parameter of forest biomass, forest height is of great significance for the
calculation of forest carbon stock and the study of the carbon cycle in large-scale regions …
calculation of forest carbon stock and the study of the carbon cycle in large-scale regions …
Slope-adaptive waveform metrics of large footprint lidar for estimation of forest aboveground biomass
The effect of terrain slope on large footprint lidar waveforms is still a great challenge to the
accurate mapping of forest aboveground biomass (AGB), although previous studies have …
accurate mapping of forest aboveground biomass (AGB), although previous studies have …
[HTML][HTML] Potential of texture from SAR tomographic images for forest aboveground biomass estimation
Abstract Synthetic Aperture Radar (SAR) texture has been demonstrated to have the
potential to improve forest biomass estimation using backscatter. However, forests are 3D …
potential to improve forest biomass estimation using backscatter. However, forests are 3D …