Mapping Forest Aboveground Biomass with MODIS and Fengyun-3C VIRR Imageries in Yunnan Province, Southwest China Using Linear Regression, K-Nearest …

H Chen, Z Qin, DL Zhai, G Ou, X Li, G Zhao, J Fan… - Remote Sensing, 2022 - mdpi.com
The aboveground biomass (AGB) of a forest is an important indicator of the forest's terrestrial
carbon storage and its relation to climate change. Due to the advantage of extensive spatial …

Modelling Forest Ecosystems: A crossroad between scales, techniques and applications

JA Blanco, A Ameztegui, F Rodríguez - Ecological Modelling, 2020 - Elsevier
Forests are likely the most complex ecosystems on Earth, as they cross scales from the
largest and longest-lived organisms on the planet (trees) with a myriad of diminutive …

[HTML][HTML] Combining sample plot stratification and machine learning algorithms to improve forest aboveground carbon density estimation in northeast China using …

M Chen, X Qiu, W Zeng, D Peng - Remote Sensing, 2022 - mdpi.com
Timely, accurate estimates of forest aboveground carbon density (AGC) are essential for
understanding the global carbon cycle and providing crucial reference information for …

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 …

Estimating burn severity and carbon emissions from a historic megafire in boreal forests of China

W Xu, HS He, TJ Hawbaker, Z Zhu… - Science of the total …, 2020 - Elsevier
Wildfires, especially those of large size, worsen air quality and alter the carbon cycle through
combustion of large quantities of biomass and release of carbon into the atmosphere. The …

Spatial-temporal changes in soil organic carbon and pH in the Liaoning Province of China: A modeling analysis based on observational data

L Qi, S Wang, Q Zhuang, Z Yang, S Bai, X Jin, G Lei - Sustainability, 2019 - mdpi.com
Quantification of soil organic carbon (SOC) and pH, and their spatial variations at regional
scales, is a foundation to adequately assess agriculture, pollution control, or environmental …

Evaluating k-Nearest Neighbor (kNN) Imputation Models for Species-Level Aboveground Forest Biomass Mapping in Northeast China

Y Fu, HS He, TJ Hawbaker, PD Henne, Z Zhu… - Remote sensing, 2019 - mdpi.com
Quantifying spatially explicit or pixel-level aboveground forest biomass (AFB) across large
regions is critical for measuring forest carbon sequestration capacity, assessing forest …

Spatially explicit reconstruction of post-megafire forest recovery through landscape modeling

W Xu, HS He, JS Fraser, TJ Hawbaker… - … Modelling & Software, 2020 - Elsevier
Megafires are large wildfires that occur under extreme weather conditions and produce
mixed burn severities across diverse environmental gradients. Assessing megafire effects …

基于随机森林模型的青藏高原森林地上生物量遥感估算

张鹏超, 梁宇, 刘波, 马天啸, 吴苗苗 - 生态学杂志, 2023 - cje.net.cn
遥感数据可以实时快速获取森林属性信息, 利用遥感技术数据估算的森林地上生物量(
aboveground biomass, AGB) 具有空间连续性且精度较高的优势. 与低纬度或低海拔的森林 …

A comprehensive evaluation model for forest fires based on MCDA and machine learning: A case study of Zhenjiang City, China

R Xing, W Ju, H Lu - Environment, Development and Sustainability, 2024 - Springer
In recent years, forest fire accidents around the world have caused many casualties and
property losses. Therefore, the development of a new risk model to assess the risk of forest …