Application of remote sensing data in large-scale monitoring of wetlands

SS Shinkarenko, SA Bartalev - Cosmic Research, 2024 - Springer
The present review examines existing technologies for mapping wetland ecosystems (WEs)
based on remote sensing data. WEs are the most valuable ecosystems with a high …

[HTML][HTML] Aboveground biomass estimation in forests with random forest and Monte Carlo-based uncertainty analysis

Z Li, S Bi, S Hao, Y Cui - Ecological Indicators, 2022 - Elsevier
Estimates of aboveground biomass (AGB) in forests and the associated uncertainty are
important pieces of information outlined in the United Nations Framework Convention on …

Reliability and integrity of forest sector statistics—a major constraint to effective forest policy in Russia

AI Pyzhev, RV Gordeev, EA Vaganov - Sustainability, 2020 - mdpi.com
Russia owns one-fifth of the world's forest-covered area but has never been the leader of the
global forest sector nor in gross output or relative productivity. The issues of the Russian …

Estimation of boreal forest growing stock volume in russia from sentinel-2 msi and land cover classification

WG Rees, J Tomaney, O Tutubalina, V Zharko… - Remote Sensing, 2021 - mdpi.com
Growing stock volume (GSV) is a fundamental parameter of forests, closely related to the
above-ground biomass and hence to carbon storage. Estimation of GSV at regional to global …

[HTML][HTML] Spatio-Temporal Analysis of Forest Growing Stock Volume and Carbon Stocks: A Case Study of Kandry-Kul Natural Park, Russia

A Volkov, L Belan, E Bogdan, A Suleymanov… - Land, 2023 - mdpi.com
This paper presents the evaluation and digital mapping of forest growing stock volume
(GSV) and carbon stocks of the natural park Kandry-Kul (Republic of Bashkortostan …

Analyzing the saturation of growing stem volume based on ZY-3 stereo and multispectral images in planted coniferous forest

T Zhang, H Lin, J Long, M Zhang… - IEEE Journal of Selected …, 2021 - ieeexplore.ieee.org
Recently, remote sensing (RS) technology are becoming an increasingly important
technology in estimating forest growing stem volume (GSV), and the saturation issue of …

Comparison of multiple machine learning models for estimating the forest growing stock in large-scale forests using multi-source data

H Huang, D Wu, L Fang, X Zheng - Forests, 2022 - mdpi.com
The forest growing stock is one of the key indicators in monitoring forest resources, and its
quantitative estimation is of great significance. Based on multi-source data, including …

A New Forest Growing Stock Volume Estimation Model Based on AdaBoost and Random Forest Model

X Wang, C Zhang, Z Qiang, W Xu, J Fan - Forests, 2024 - mdpi.com
Forest growing stock volume is a crucial indicator for assessing forest resources. However,
contemporary machine learning models used in estimating forest growing stock volume …

Comparison of three active microwave models of forest growing stock volume based on the idea of the water cloud model

T Zhang, H Sun, Z Xu, H Xu, D Wu, L Wu - Remote Sensing, 2023 - mdpi.com
Forest growing stock volume (GSV) is an essential aspect of ecological carbon stock
monitoring. The successive launches of spaceborne microwave satellites have provided a …

[HTML][HTML] Enhancing the Precision of Forest Growing Stock Volume in the Estonian National Forest Inventory with Different Predictive Techniques and Remote Sensing …

TO Omoniyi, A Sims - Remote Sensing, 2024 - mdpi.com
Estimating forest growing stock volume (GSV) is crucial for forest growth and resource
management, as it reflects forest productivity. National measurements are laborious and …