Estimation of forest aboveground biomass and leaf area index based on digital aerial photograph data in Northeast China

D Li, X Gu, Y Pang, B Chen, L Liu - Forests, 2018 - mdpi.com
Forest aboveground biomass (AGB) and leaf area index (LAI) are two important parameters
for evaluating forest growth and health. It is of great significance to estimate AGB and LAI …

A systematic review of remote sensing and machine learning approaches for accurate carbon storage estimation in natural forests

C Matiza, O Mutanga, K Peerbhay… - Southern Forests: a …, 2023 - Taylor & Francis
The assessment of carbon storage in natural forests is paramount in the ongoing efforts
against climate change. While traditional field-based methods for quantifying carbon storage …

Growing stock volume from multi-temporal landsat imagery through google earth engine

S Sanchez-Ruiz, A Moreno-Martinez… - International Journal of …, 2019 - Elsevier
Growing stock volume (GSV) is one of the most important variables for forest management
and is traditionally estimated from ground measurements. These measurements are …

Multi-sensor prediction of stand volume by a hybrid model of support vector machine for regression kriging

L Chen, C Ren, B Zhang, Z Wang - Forests, 2020 - mdpi.com
Quantifying stand volume through open-access satellite remote sensing data supports
proper management of forest stand. Because of limitations on single sensor and support …

[PDF][PDF] Construction of tree species composition map of Estonia using multispectral satellite images, soil map and a random forest algorithm

M Lang, M Kaha, D Laarmann, A Sims - Forestry Studies, 2018 - sciendo.com
Landsat-8 OLI and Sentinel-2 MSI images from years 2015 and 2016, a 1: 10,000 digital soil
map and a large number of reference samples were used with a random forest machine …

[HTML][HTML] Estimating Forest Gross Primary Production Using Machine Learning, Light Use Efficiency Model, and Global Eddy Covariance Data

Z Tian, Y Fu, T Zhou, C Yi, E Kutter, Q Zhang… - Forests, 2024 - mdpi.com
Forests play a vital role in atmospheric CO2 sequestration among terrestrial ecosystems,
mitigating the greenhouse effect induced by human activity in a changing climate. The LUE …

Estimation of standing wood volume and species composition in managed nemoral multi-layer mixed forests by using nearest neighbour classifier, multispectral …

M Lang, T Arumäe, T Lükk, A Sims - Forestry Studies, 2014 - sciendo.com
Nearest neighbour techniques are useful for constructing maps of forest inventory variables
based on sample plot and auxiliary data from remote sensing. The most problematic issue of …

Remote-sensing support for the Estonian National Forest Inventory, facilitating the construction of maps for forest height, standing-wood volume, and tree species …

M Lang, A Sims, K Pärna, R Kangro, M Möls… - Forestry …, 2020 - sciendo.com
Since 1999, Estonia has conducted the National Forest Inventory (NFI) on the basis of
sample plots. This paper presents a new module, incorporating remote-sensing feature …

[PDF][PDF] Assessment of different estimation algorithms and remote sensing data sources for regional level wood volume mapping in hemiboreal mixed forests

M Lang, L Gulbe, A Traškovs, A Stepčenko - Baltic Forestry, 2016 - researchgate.net
Remote sensing data provide opportunity to estimate wood volume in vast areas with lower
financial expenses compared to field measurements. In this study, we tested wood volume …

Leaf area index mapping with airborne lidar, satellite images and ground measurements in Järvselja VALERI test site.

A Kodar, M Lang, T Arumäe, A Eenmäe, J Nilson - 2011 - cabidigitallibrary.org
The aim of this study was to compile the leaf area index (LAI) map of a 3× 3 km VALERI test
site in Järvselja, Estonia. Canopy transmittance measurements of LAI by LAI-2000 Plant …