A review of general methods for quantifying and estimating urban trees and biomass

M Yang, X Zhou, Z Liu, P Li, J Tang, B Xie, C Peng - Forests, 2022 - mdpi.com
Understanding the biomass, characteristics, and carbon sequestration of urban forests is
crucial for maintaining and improving the quality of life and ensuring sustainable urban …

Aboveground mangrove biomass estimation in Beibu Gulf using machine learning and UAV remote sensing

Y Tian, H Huang, G Zhou, Q Zhang, J Tao… - Science of the Total …, 2021 - Elsevier
On the basis of canopy height variables, vegetation index, texture index, and laser point
cloud index measured with unmanned aerial vehicle (UAV) low altitude remote sensing, we …

Estimating above-ground biomass of maize using features derived from UAV-based RGB imagery

Y Niu, L Zhang, H Zhang, W Han, X Peng - Remote Sensing, 2019 - mdpi.com
The rapid, accurate, and economical estimation of crop above-ground biomass at the farm
scale is crucial for precision agricultural management. The unmanned aerial vehicle (UAV) …

[HTML][HTML] Aboveground biomass of typical invasive mangroves and its distribution patterns using UAV-LiDAR data in a subtropical estuary: Maoling River estuary …

Y Tian, Q Zhang, H Huang, Y Huang, J Tao, G Zhou… - Ecological …, 2022 - Elsevier
Quantitative assessment of aboveground biomass (AGB) and spatial distribution pattern of
exotic mangrove plants (Sonneratia apetala) is of great significance for blue carbon …

Quantification of carbon sequestration by urban forest using Landsat 8 OLI and machine learning algorithms in Jodhpur, India

S Uniyal, S Purohit, K Chaurasia, SS Rao… - Urban Forestry & Urban …, 2022 - Elsevier
Urban forests play a significant role in carbon cycling. Quantification of Aboveground
Biomass (AGB) is critical to understand the role of urban forests in carbon sequestration. In …

A proposed ensemble feature selection method for estimating forest aboveground biomass from multiple satellite data

Y Zhang, J Liu, W Li, S Liang - Remote Sensing, 2023 - mdpi.com
Feature selection (FS) can increase the accuracy of forest aboveground biomass (AGB)
prediction from multiple satellite data and identify important predictors, but the role of FS in …

Application of a novel multiscale global graph convolutional neural network to improve the accuracy of forest type classification using aerial photographs

H Pei, T Owari, S Tsuyuki, Y Zhong - Remote Sensing, 2023 - mdpi.com
The accurate classification of forest types is critical for sustainable forest management. In
this study, a novel multiscale global graph convolutional neural network (MSG-GCN) was …

Two decades progress on the application of remote sensing for monitoring tropical and sub-tropical natural forests: a review

E Gyamfi-Ampadu, M Gebreslasie - Forests, 2021 - mdpi.com
Forest covers about a third of terrestrial land surface, with tropical and subtropical zones
being a major part. Remote sensing applications constitute a significant approach to …

Quantification of biophysical parameters and economic yield in cotton and rice using drone technology

S Pazhanivelan, R Kumaraperumal, P Shanmugapriya… - Agriculture, 2023 - mdpi.com
New agronomic opportunities for more informed agricultural decisions and enhanced crop
management have been made possible by drone-based near-ground remote sensing …

Examining the Potential of Sentinel Imagery and Ensemble Algorithms for Estimating Aboveground Biomass in a Tropical Dry Forest

MH Salazar Villegas, M Qasim, E Csaplovics… - Remote Sensing, 2023 - mdpi.com
Accurate estimations of aboveground biomass (AGB) in tropical forests are crucial for
maintaining carbon stocks and ensuring effective forest management. By combining remote …