Mapping fine-scale building heights in urban agglomeration with spaceborne lidar

X Ma, G Zheng, X Chi, L Yang, Q Geng, J Li… - Remote Sensing of …, 2023 - Elsevier
The increasing availability of 3-D urban data yields new insights into urban developments
and their implications for population density, energy consumption, and the carbon budget …

Modelling aboveground biomass of a multistage managed forest through synergistic use of Landsat-OLI, ALOS-2 L-band SAR and GEDI metrics

H Padalia, A Prakash, T Watham - Ecological Informatics, 2023 - Elsevier
To better understand forest carbon budgets and design forest-based climate change
mitigation solutions, reliable biomass estimation is critical. Integrating multi-sensor remote …

Improved object-based estimation of forest aboveground biomass by integrating LiDAR data from GEDI and ICESat-2 with multi-sensor images in a heterogeneous …

L Chen, C Ren, G Bao, B Zhang, Z Wang, M Liu… - Remote Sensing, 2022 - mdpi.com
Accurate and effective mapping of forest aboveground biomass (AGB) in heterogeneous
mountainous regions is a huge challenge but an urgent demand for resource managements …

Comparison of GEDI LiDAR data capability for forest canopy height estimation over broadleaf and needleleaf forests

M Rajab Pourrahmati, N Baghdadi, I Fayad - Remote Sensing, 2023 - mdpi.com
The GEDI LiDAR system was specifically designed to detect vegetation structure and has
proven to be a suitable tool for estimating forest biophysical parameters, especially canopy …

Mixed tropical forests canopy height mapping from spaceborne LiDAR GEDI and multisensor imagery using machine learning models

R Gupta, LK Sharma - Remote Sensing Applications: Society and …, 2022 - Elsevier
Spatial mapping of forests canopy height (Hcanopy) provides an opportunity to assess
above-ground biomass, net primary productivity, carbon dioxide (CO 2) sequestration …

Improving heterogeneous forest height maps by integrating GEDI-based forest height information in a multi-sensor mapping process

D Morin, M Planells, N Baghdadi, A Bouvet, I Fayad… - Remote Sensing, 2022 - mdpi.com
Forests are one of the key elements in ecological transition policies in Europe. Sustainable
forest management is needed in order to optimise wood harvesting, while preserving carbon …

Combining GEDI and Sentinel-2 for wall-to-wall mapping of tall and short crops

S Di Tommaso, S Wang, DB Lobell - Environmental Research …, 2021 - iopscience.iop.org
High resolution crop type maps are an important tool for improving food security, and remote
sensing is increasingly used to create such maps in regions that possess ground truth labels …

Quantifying temperate forest diversity by integrating GEDI LiDAR and multi-temporal sentinel-2 imagery

C Ren, H Jiang, Y Xi, P Liu, H Li - Remote Sensing, 2023 - mdpi.com
Remotely sensed estimates of forest diversity have become increasingly important in
assessing anthropogenic and natural disturbances and their effects on biodiversity under …

Forest Aboveground Biomass Estimation and Inventory: Evaluating Remote Sensing-Based Approaches

MN Khan, Y Tan, AA Gul, S Abbas, J Wang - Forests, 2024 - mdpi.com
Remote sensing datasets offer robust approaches for gaining reliable insights into forest
ecosystems. Despite numerous studies reviewing forest aboveground biomass estimation …

Individual tree structural parameter extraction and volume table creation based on near-field LiDAR data: a case study in a subtropical planted forest

S Gao, Z Zhang, L Cao - Sensors, 2021 - mdpi.com
Individual tree structural parameters are vital for precision silviculture in planted forests. This
study used near-field LiDAR (light detection and ranging) data (ie, unmanned aerial vehicle …