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Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm
Satellite time-series data are bolstering global change research, but their use to elucidate
land changes and vegetation dynamics is sensitive to algorithmic choices. Different …
land changes and vegetation dynamics is sensitive to algorithmic choices. Different …
[HTML][HTML] Is field-measured tree height as reliable as believed–A comparison study of tree height estimates from field measurement, airborne laser scanning and …
Quantitative comparisons of tree height observations from different sources are scarce due
to the difficulties in effective sampling. In this study, the reliability and robustness of tree …
to the difficulties in effective sampling. In this study, the reliability and robustness of tree …
The impact of geolocation uncertainty on GEDI tropical forest canopy height estimation and change monitoring
Abstract The Global Ecosystem Dynamics Investigation (GEDI) LiDAR provides new
spaceborne vegetation canopy structural information including relative canopy height …
spaceborne vegetation canopy structural information including relative canopy height …
Vegetation index weighted canopy volume model (CVMVI) for soybean biomass estimation from unmanned aerial system-based RGB imagery
Crop biomass estimation with high accuracy at low-cost is valuable for precision agriculture
and high-throughput phenoty**. Recent technological advances in Unmanned Aerial …
and high-throughput phenoty**. Recent technological advances in Unmanned Aerial …
The shape of trees: Reimagining forest ecology in three dimensions with remote sensing
How ecologists think about above‐ground forest structure and dynamics is fundamentally
shaped by the data we can collect. This has historically been limited to what is possible with …
shaped by the data we can collect. This has historically been limited to what is possible with …
[HTML][HTML] Above-ground biomass estimation from LiDAR data using random forest algorithms
L Torre-Tojal, A Bastarrika, A Boyano… - Journal of …, 2022 - Elsevier
Random forest (RF) models were developed to estimate the biomass for the Pinus radiata
species in a region of the Basque Autonomous Community where this species has high …
species in a region of the Basque Autonomous Community where this species has high …
[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 …