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Remote sensing in forestry: current challenges, considerations and directions
Remote sensing has developed into an omnipresent technology in the scientific field of
forestry and is also increasingly used in an operational fashion. However, the pace and level …
forestry and is also increasingly used in an operational fashion. However, the pace and level …
[HTML][HTML] An integrated approach for post-disaster flood management via the use of cutting-edge technologies and UAVs: A review
Rapid advances that improve flood management have facilitated the disaster response by
providing first aid services, finding safe routes, maintaining communication and develo** …
providing first aid services, finding safe routes, maintaining communication and develo** …
A novel CNN-LSTM-based approach to predict urban expansion
Time-series remote sensing data offer a rich source of information that can be used in a wide
range of applications, from monitoring changes in land cover to surveillance of crops …
range of applications, from monitoring changes in land cover to surveillance of crops …
GEDI launches a new era of biomass inference from space
Accurate estimation of aboveground forest biomass stocks is required to assess the impacts
of land use changes such as deforestation and subsequent regrowth on concentrations of …
of land use changes such as deforestation and subsequent regrowth on concentrations of …
[PDF][PDF] Aboveground woody biomass product validation good practices protocol
L Duncanson, J Armston, M Disney, V Avitabile… - 2021 - pure.iiasa.ac.at
Remote sensing (RS) studies aiming at map** forest biomass typically rely on ground-
based estimates of biomass for calibration or validation. Whatever the biophysical variable …
based estimates of biomass for calibration or validation. Whatever the biophysical variable …
Improved semisupervised UNet deep learning model for forest height map** with satellite SAR and optical data
In this study, we introduce an improved semisupervised deep learning approach, and
demonstrate its suitability for modeling the relationship between forest structural parameters …
demonstrate its suitability for modeling the relationship between forest structural parameters …
Estimating changes in forest attributes and enhancing growth projections: a review of existing approaches and future directions using airborne 3D point cloud data
Abstract Purpose of Review The increasing availability of three-dimensional point clouds,
including both airborne laser scanning and digital aerial photogrammetry, allow for the …
including both airborne laser scanning and digital aerial photogrammetry, allow for the …
Forest aboveground biomass estimation and inventory: Evaluating remote sensing-based approaches
Remote sensing datasets offer robust approaches for gaining reliable insights into forest
ecosystems. Despite numerous studies reviewing forest aboveground biomass estimation …
ecosystems. Despite numerous studies reviewing forest aboveground biomass estimation …
Map** aboveground biomass and its prediction uncertainty using LiDAR and field data, accounting for tree-level allometric and LiDAR model errors
Background The increasing availability of remotely sensed data has recently challenged the
traditional way of performing forest inventories, and induced an interest in model-based …
traditional way of performing forest inventories, and induced an interest in model-based …
How many bootstrap replications are necessary for estimating remote sensing-assisted, model-based standard errors?
When probability samples are not available, the model-based framework may be the only
option for constructing inferences in the form of prediction intervals for population means …
option for constructing inferences in the form of prediction intervals for population means …