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 …
Use of remote sensing data to improve the efficiency of national forest inventories: A case study from the United States national forest inventory
AJ Lister, H Andersen, T Frescino, D Gatziolis… - Forests, 2020 - mdpi.com
Globally, forests are a crucial natural resource, and their sound management is critical for
human and ecosystem health and well-being. Efforts to manage forests depend upon …
human and ecosystem health and well-being. Efforts to manage forests depend upon …
Imputation of Individual Longleaf Pine (Pinus palustris Mill.) Tree Attributes from Field and LiDAR Data
Abstract Light Detection and Ranging (LiDAR) has demonstrated potential for forest
inventory at the individual-tree level. The aim in this study was to predict individual-tree …
inventory at the individual-tree level. The aim in this study was to predict individual-tree …
The ICESat-2 laser altimetry mission
W Abdalati, HJ Zwally, R Bindschadler… - Proceedings of the …, 2010 - ieeexplore.ieee.org
Satellite and aircraft observations have revealed that remarkable changes in the Earth's
polar ice cover have occurred in the last decade. The impacts of these changes, which …
polar ice cover have occurred in the last decade. The impacts of these changes, which …
A bottom-up approach to segment individual deciduous trees using leaf-off lidar point cloud data
Abstract Light Detection and Ranging (Lidar) can generate three-dimensional (3D) point
cloud which can be used to characterize horizontal and vertical forest structure, so it has …
cloud which can be used to characterize horizontal and vertical forest structure, so it has …
Satellite lidar vs. small footprint airborne lidar: Comparing the accuracy of aboveground biomass estimates and forest structure metrics at footprint level
The use of lidar remote sensing for mapping the spatial distribution of canopy characteristics
has the potential to allow an accurate and efficient estimation of tree dimensions and canopy …
has the potential to allow an accurate and efficient estimation of tree dimensions and canopy …
Review of remote sensing-based methods for forest aboveground biomass estimation: Progress, challenges, and prospects
Quantifying forest aboveground biomass (AGB) is essential for elucidating the global carbon
cycle and the response of forest ecosystems to climate change. Over the past five decades …
cycle and the response of forest ecosystems to climate change. Over the past five decades …
Comparing canopy metrics derived from terrestrial and airborne laser scanning in a Douglas-fir dominated forest stand
Accurate estimates of vegetation structure are important for a large number of applications
including ecological modeling and carbon budgets. Light detection and ranging (LiDAR) …
including ecological modeling and carbon budgets. Light detection and ranging (LiDAR) …
Characterizing forest canopy structure with lidar composite metrics and machine learning
A lack of reliable observations for canopy science research is being partly overcome by the
gradual use of lidar remote sensing. This study aims to improve lidar-based canopy …
gradual use of lidar remote sensing. This study aims to improve lidar-based canopy …
Earth science applications of ICESat/GLAS: A review
The Ice, Cloud, and Land Elevation Satellite (ICESat) completed 19 successful campaigns
for Earth observation missions following its launch in 2003. The Geoscience Laser Altimeter …
for Earth observation missions following its launch in 2003. The Geoscience Laser Altimeter …