Remote sensing in forestry: current challenges, considerations and directions

FE Fassnacht, JC White, MA Wulder… - … An International Journal …, 2024 - academic.oup.com
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 …

Remote sensing and forest inventories in Nordic countries–roadmap for the future

A Kangas, R Astrup, J Breidenbach… - … Journal of Forest …, 2018 - Taylor & Francis
The Nordic countries have long traditions in forest inventory and remote sensing (RS). In
sample-based national forest inventories (NFIs), utilization of aerial photographs started …

Nationwide native forest structure maps for Argentina based on forest inventory data, SAR Sentinel-1 and vegetation metrics from Sentinel-2 imagery

EMO Silveira, VC Radeloff, S Martinuzzi… - Remote Sensing of …, 2023 - Elsevier
Detailed maps of forest structure attributes are crucial for sustainable forest management,
conservation, and forest ecosystem science at the landscape level. Map** the structure of …

[HTML][HTML] Growing stock monitoring by European National Forest Inventories: Historical origins, current methods and harmonisation

T Gschwantner, I Alberdi, S Bauwens, S Bender… - Forest Ecology and …, 2022 - Elsevier
Wood resources have been essential for human welfare throughout history. Also nowadays,
the volume of growing stock (GS) is considered one of the most important forest attributes …

Use of models in large-area forest surveys: comparing model-assisted, model-based and hybrid estimation

G Ståhl, S Saarela, S Schnell, S Holm, J Breidenbach… - Forest …, 2016 - Springer
This paper focuses on the use of models for increasing the precision of estimators in large-
area forest surveys. It is motivated by the increasing availability of remotely sensed data …

[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 …

[HTML][HTML] Estimating forest volume and biomass and their changes using random forests and remotely sensed data

J Esteban, RE McRoberts, A Fernández-Landa… - Remote Sensing, 2019 - mdpi.com
Despite the popularity of random forests (RF) as a prediction algorithm, methods for
constructing confidence intervals for population means using this technique are still only …

Map** aboveground biomass and its prediction uncertainty using LiDAR and field data, accounting for tree-level allometric and LiDAR model errors

S Saarela, A Wästlund, E Holmström, AA Mensah… - Forest …, 2020 - Springer
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 …

An approach to estimating forest biomass while quantifying estimate uncertainty and correcting bias in machine learning maps

E Emick, C Babcock, GW White, AT Hudak… - Remote Sensing of …, 2023 - Elsevier
Providing forest biomass estimates with desired accuracy and precision for small areas is a
key challenge to incorporating forest carbon offsets into commodity trading programs …

Generalized hierarchical model-based estimation for aboveground biomass assessment using GEDI and landsat data

S Saarela, S Holm, SP Healey, HE Andersen… - Remote Sensing, 2018 - mdpi.com
Recent developments in remote sensing (RS) technology have made several sources of
auxiliary data available to support forest inventories. Thus, a pertinent question is how …