A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems

D Lu, Q Chen, G Wang, L Liu, G Li… - International Journal of …, 2016 - Taylor & Francis
Remote sensing-based methods of aboveground biomass (AGB) estimation in forest
ecosystems have gained increased attention, and substantial research has been conducted …

The potential and challenge of remote sensing‐based biomass estimation

D Lu - International journal of remote sensing, 2006 - Taylor & Francis
Remotely sensed data have become the primary source for biomass estimation. A summary
of previous research on remote sensing‐based biomass estimation approaches and a …

Improved estimation of rice aboveground biomass combining textural and spectral analysis of UAV imagery

H Zheng, T Cheng, M Zhou, D Li, X Yao, Y Tian… - Precision …, 2019 - Springer
Crop aboveground biomass (AGB) is one of the most important indicators in crop breeding
and crop management, and can be used for crop yield prediction. A number of vegetation …

High density biomass estimation for wetland vegetation using WorldView-2 imagery and random forest regression algorithm

O Mutanga, E Adam, MA Cho - … Journal of Applied Earth Observation and …, 2012 - Elsevier
The saturation problem associated with the use of NDVI for biomass estimation in high
canopy density vegetation is a well known phenomenon. Recent field spectroscopy …

Improving forest aboveground biomass estimation using seasonal Landsat NDVI time-series

X Zhu, D Liu - ISPRS Journal of Photogrammetry and Remote …, 2015 - Elsevier
Spatially explicit knowledge of aboveground biomass (AGB) in large areas is important for
accurate carbon accounting. Landsat data have been widely used to provide efficient and …

Estimating aboveground biomass using Sentinel-2 MSI data and ensemble algorithms for grassland in the Shengjin Lake Wetland, China

C Li, L Zhou, W Xu - Remote Sensing, 2021 - mdpi.com
Wetland vegetation aboveground biomass (AGB) directly indicates wetland ecosystem
health and is critical for water purification, carbon cycle, and biodiversity conservation …

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 …

Examining spectral reflectance saturation in Landsat imagery and corresponding solutions to improve forest aboveground biomass estimation

P Zhao, D Lu, G Wang, C Wu, Y Huang, S Yu - Remote Sensing, 2016 - mdpi.com
The data saturation problem in Landsat imagery is well recognized and is regarded as an
important factor resulting in inaccurate forest aboveground biomass (AGB) estimation …

Influence of variable selection and forest type on forest aboveground biomass estimation using machine learning algorithms

Y Li, C Li, M Li, Z Liu - Forests, 2019 - mdpi.com
Forest biomass is a major store of carbon and plays a crucial role in the regional and global
carbon cycle. Accurate forest biomass assessment is important for monitoring and mapping …

Combining texture, color, and vegetation indices from fixed-wing UAS imagery to estimate wheat growth parameters using multivariate regression methods

J Zhang, X Qiu, Y Wu, Y Zhu, Q Cao, X Liu… - … and Electronics in …, 2021 - Elsevier
Precision crop management in modern agriculture requires timely and effective acquisition
of crop growth information. Recently, unmanned aerial systems (UASs) have rapidly …