Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years

J Xiao, F Chevallier, C Gomez, L Guanter… - Remote Sensing of …, 2019 - Elsevier
Quantifying ecosystem carbon fluxes and stocks is essential for better understanding the
global carbon cycle and improving projections of the carbon-climate feedbacks. Remote …

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 …

Improving above ground biomass estimates of Southern Africa dryland forests by combining Sentinel-1 SAR and Sentinel-2 multispectral imagery

RM David, NJ Rosser, DNM Donoghue - Remote Sensing of Environment, 2022 - Elsevier
Having the ability to make accurate assessments of above ground biomass (AGB) at high
spatial resolution is invaluable for the management of dryland forest resources in areas at …

[图书][B] LiDAR remote sensing and applications

P Dong, Q Chen - 2017 - taylorfrancis.com
Ideal for both undergraduate and graduate students in the fields of geography, forestry,
ecology, geographic information science, remote sensing, and photogrammetric …

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 …

Generalizing predictive models of forest inventory attributes using an area-based approach with airborne LiDAR data

M Bouvier, S Durrieu, RA Fournier… - Remote Sensing of …, 2015 - Elsevier
This study proposed modifying the conceptual approach that is commonly used to model
development of stand attribute estimates using airborne LiDAR data. New models were …

Measuring individual tree diameter and height using GatorEye High-Density UAV-Lidar in an integrated crop-livestock-forest system

AP Dalla Corte, FE Rex, DRA Almeida, CR Sanquetta… - Remote Sensing, 2020 - mdpi.com
Accurate forest parameters are essential for forest inventory. Traditionally, parameters such
as diameter at breast height (DBH) and total height are measured in the field by level …

Scale-dependent and driving relationships between spatial features and carbon storage and sequestration in an urban park of Zhengzhou, China

X Jia, H Han, Y Feng, P Song, R He, Y Liu… - Science of The Total …, 2023 - Elsevier
Research indicates that urban ecosystems can store large amounts of carbon. However, few
studies have examined how the spatial features of park greenspace affect its carbon …

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 …

Mapping attributes of Canada's forests at moderate resolution through kNN and MODIS imagery

A Beaudoin, PY Bernier, L Guindon… - Canadian Journal of …, 2014 - cdnsciencepub.com
Canada's National Forest Inventory (NFI) sampling program is designed to support reporting
on forests at the national scale. On the other hand, continuous maps of forest attributes are …