Deep learning for forest inventory and planning: a critical review on the remote sensing approaches so far and prospects for further applications
Data processing for forestry applications is challenged by the increasing availability of multi-
source and multi-temporal data. The advancements of Deep Learning (DL) algorithms have …
source and multi-temporal data. The advancements of Deep Learning (DL) algorithms have …
[HTML][HTML] Estimating changes in forest attributes and enhancing growth projections: A review of existing approaches and future directions using airborne 3D point cloud …
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 …
[HTML][HTML] Estimating forest stock volume in Hunan Province, China, by integrating in situ plot data, Sentinel-2 images, and linear and machine learning regression …
The forest stock volume (FSV) is one of the key indicators in forestry resource assessments
on local, regional, and national scales. To date, scaling up in situ plot-scale measurements …
on local, regional, and national scales. To date, scaling up in situ plot-scale measurements …
From comprehensive field inventories to remotely sensed wall-to-wall stand attribute data—a brief history of management inventories in the Nordic countries
M Maltamo, P Packalen… - Canadian Journal of Forest …, 2021 - cdnsciencepub.com
Forest management inventories (FMIs) provide critical information, usually at the stand level,
for forest management planning. A typical FMI includes (i) the delineation of the inventory …
for forest management planning. A typical FMI includes (i) the delineation of the inventory …
Harnessing data assimilation and spatial autocorrelation for forest inventory
Spatially explicit uncertainties in forest above-ground biomass predictions for population
units are underestimated if spatial structure in the form of residual spatial autocorrelation …
units are underestimated if spatial structure in the form of residual spatial autocorrelation …
China's larch stock volume estimation using Sentinel-2 and LiDAR data
T Yu, Y Pang, X Liang, W Jia, Y Bai, Y Fan… - Geo-spatial …, 2023 - Taylor & Francis
ABSTRACT Forest Stock Volume (FSV) is one of the key indicators in forestry resource
investigation and management on local, regional, and national scales. Limited by the …
investigation and management on local, regional, and national scales. Limited by the …
[HTML][HTML] Why ecosystem characteristics predicted from remotely sensed data are unbiased and biased at the same time–and how this affects applications
Remotely sensed data are frequently used for predicting and mapping ecosystem
characteristics, and spatially explicit wall-to-wall information is sometimes proposed as the …
characteristics, and spatially explicit wall-to-wall information is sometimes proposed as the …
Remote sensing-assisted data assimilation and simultaneous inference for forest inventory
Data assimilation (DA) has a broad category of mathematical procedures for updating and
calibrating existing predictions or parameter estimates using new observations. Typical DA …
calibrating existing predictions or parameter estimates using new observations. Typical DA …
Data assimilation of growing stock volume using a sequence of remote sensing data from different sensors
N Lindgren, H Olsson, K Nyström… - Canadian Journal of …, 2022 - Taylor & Francis
Abstract Airborne Laser Scanning (ALS) has implied a disruptive transformation of how data
are gathered for forest management planning in Nordic countries. We show in this study that …
are gathered for forest management planning in Nordic countries. We show in this study that …
[HTML][HTML] Importance of calibration for improving the efficiency of data assimilation for predicting forest characteristics
Data assimilation (DA) is often used for merging observations to improve the predictions of
the current and future states of characteristics of interest. In forest inventory, DA has so far …
the current and future states of characteristics of interest. In forest inventory, DA has so far …