Improving extraction of forest canopy height through reprocessing ICESat-2 ATLAS and GEDI data in sparsely forested plain regions

R Wang, Y Lu, D Lu, G Li - GIScience & Remote Sensing, 2024 - Taylor & Francis
Forest canopy height (FCH) is one of the most important variables for carbon stock
estimation. While many studies have focused on extracting FCH from spaceborne LiDAR in …

[HTML][HTML] Validation of the vertical canopy cover profile products derived from GEDI over selected forest sites

Y Li, H Fang, Y Wang, S Li, T Ma, Y Wu… - Science of Remote …, 2024 - Elsevier
Canopy cover (CC) quantifies the proportion of canopy materials projected vertically onto
the ground surface. CC is a crucial canopy structural variable and is commonly used in …

[HTML][HTML] Using Landsat time series and bi-temporal GEDI to compare spectral and structural vegetation responses after fire

S Huettermann, S Jones, M Soto-Berelov… - International Journal of …, 2023 - Elsevier
Passive and active spaceborne remote sensing technologies play a key role in monitoring
forests across large areas, particularly when combining the advantages of both sensor …

Forest emissions reduction assessment using optical satellite imagery and space LiDAR fusion for carbon stock estimation

Y Jiao, D Wang, X Yao, S Wang, T Chi, Y Meng - Remote Sensing, 2023 - mdpi.com
Forests offer significant climate mitigation benefits, but existing emissions reduction
assessment methodologies in forest-based mitigation activities are not scalable, which limits …

Mapping the forest height by fusion of ICESat-2 and multi-source remote sensing imagery and topographic information: A case study in Jiangxi province, China

Y Luo, S Qi, K Liao, S Zhang, B Hu, Y Tian - Forests, 2023 - mdpi.com
Forest canopy height is defined as the distance between the highest point of the tree canopy
and the ground, which is considered to be a key factor in calculating above-ground biomass …

Evaluation of height metrics and above-ground biomass density from GEDI and ICESat-2 over Indian tropical dry forests using airborne LiDAR data

SR Rodda, RR Nidamanuri, R Fararoda… - Journal of the Indian …, 2024 - Springer
The new-era space-borne LiDAR systems, viz. ICESat-2 and GEDI, offer new possibilities for
mapping terrain and canopy heights through geophysical data products, viz ATL08 (ICESat …

[HTML][HTML] Mapping vegetation height and identifying the northern forest limit across Canada using ICESat-2, Landsat time series and topographic data

H Travers-Smith, NC Coops, C Mulverhill… - Remote Sensing of …, 2024 - Elsevier
The northern forest-tundra ecotone is one of the fastest warming regions of the globe.
Models of vegetation change generally predict a northward advance of boreal forests and …

Predicting the forest canopy height from LiDAR and multi-sensor data using machine learning over India

SM Ghosh, MD Behera, S Kumar, P Das, AJ Prakash… - Remote Sensing, 2022 - mdpi.com
Forest canopy height estimates, at a regional scale, help understand the forest carbon
storage, ecosystem processes, the development of forest management and the restoration …

[HTML][HTML] Evaluation of GEDI footprint level biomass models in Southern African Savannas using airborne LiDAR and field measurements

X Li, K Wessels, J Armston, L Duncanson… - Science of Remote …, 2024 - Elsevier
Savannas cover more than 20% of the Earth and account for the third largest stock of global
aboveground biomass yet estimates of their above ground biomass density (AGBD) are very …

How to Find Accurate Terrain and Canopy Height GEDI Footprints in Temperate Forests and Grasslands?

V Moudrý, J Prošek, S Marselis… - Earth and Space …, 2024 - Wiley Online Library
Abstract Filtering approaches on Global Ecosystem Dynamics Investigation (GEDI) data
differ considerably across existing studies and it is yet unclear which method is the most …