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 …

Recent development in copula and its applications to the energy, forestry and environmental sciences

MI Bhatti, HQ Do - International Journal of Hydrogen Energy, 2019 - Elsevier
In recent years, copula models are being used in all areas of human endeavors including
energy, environment, social, natural and physical sciences. Copulas are the most powerful …

A comparison of modeling methods for predicting forest attributes using LiDAR metrics

A Adhikari, CR Montes, A Peduzzi - Remote Sensing, 2023 - mdpi.com
Recent advancements in laser scanning technology have demonstrated great potential for
the precise characterization of forests. However, a major challenge in utilizing metrics …

Lidar supported estimators of wood volume and aboveground biomass from the Danish national forest inventory (2012–2016)

S Magnussen, T Nord-Larsen, T Riis-Nielsen - Remote Sensing of …, 2018 - Elsevier
National forest inventories (NFI) provide estimates of forest resources at the national and
regional level but are also increasingly used as basis for mapping forest resources based on …

Conjugating remotely sensed data assimilation and model-assisted estimation for efficient multivariate forest inventory

Z Hou, K Yuan, G Ståhl, RE McRoberts… - Remote Sensing of …, 2023 - Elsevier
Remote sensing aims to provide precise information on forest ecosystems under climate and
land use changes, much of which is in the form of parameters estimated for biotic and abiotic …

A tutorial on model-assisted estimation with application to forest inventory

KS McConville, GG Moisen, TS Frescino - Forests, 2020 - mdpi.com
National forest inventories in many countries combine expensive ground plot data with
remotely-sensed information to improve precision in estimators of forest parameters. A …

On the model-assisted regression estimators using remotely sensed auxiliary data

RE McRoberts, E Næsset, J Heikkinen, Q Chen… - Remote Sensing of …, 2022 - Elsevier
The model-assisted difference and regression estimators are increasingly used with forest
inventory and remotely sensed data to increase the precision of estimates of inventory …

Effects of model-overfit on model-assisted forest inventory in boreal forests with remote sensing data

DN Cosenza, S Saarela, J Strunk… - … Journal of Forest …, 2024 - academic.oup.com
While remote sensing can be an effective tool in building a forest inventory, field
measurements and model fitting can be both expensive and challenging. One strategy to …

Review and synthesis of estimation strategies to meet small area needs in Forest inventory

GT Dettmann, PJ Radtke, JW Coulston… - Frontiers in Forests …, 2022 - frontiersin.org
Small area estimation is a growing area of research for making inferences over geographic,
demographic, or temporal domains smaller than those in which a particular survey data set …