Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years
Quantifying ecosystem carbon fluxes and stocks is essential for better understanding the
global carbon cycle and improving projections of the carbon-climate feedbacks. Remote …
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
Remote sensing-based methods of aboveground biomass (AGB) estimation in forest
ecosystems have gained increased attention, and substantial research has been conducted …
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
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 …
spatial resolution is invaluable for the management of dryland forest resources in areas at …
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 …
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
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 …
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 …
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 …
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
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 …
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 …
on forests at the national scale. On the other hand, continuous maps of forest attributes are …