Remote sensing of biodiversity: what to measure and monitor from space to species?

CS Reddy - Biodiversity and Conservation, 2021 - Springer
Global biodiversity monitoring systems through remote sensing can support consistent
assessment, monitoring, modelling and reporting on biodiversity which are key activities …

Urban impervious surface detection from remote sensing images: A review of the methods and challenges

Y Wang, M Li - IEEE Geoscience and Remote Sensing …, 2019 - ieeexplore.ieee.org
Urban impervious surface (UIS) offers potentially valuable information for the development
of sustainable urban management strategies and environmental change monitoring actions …

Forest inventory with high-density UAV-Lidar: Machine learning approaches for predicting individual tree attributes

AP Dalla Corte, DV Souza, FE Rex… - … and Electronics in …, 2020 - Elsevier
The high dimensionality of data generated by Unmanned Aerial Vehicle (UAV)-Lidar makes
it difficult to use classical statistical techniques to design accurate predictive models from …

Estimating forest structural attributes using UAV-LiDAR data in Ginkgo plantations

K Liu, X Shen, L Cao, G Wang, F Cao - ISPRS journal of photogrammetry …, 2018 - Elsevier
Estimating forest structural attributes in planted forests is crucial for sustainably management
of forests and helps to understand the contributions of forests to global carbon storage. The …

Comparison of UAV LiDAR and digital aerial photogrammetry point clouds for estimating forest structural attributes in subtropical planted forests

L Cao, H Liu, X Fu, Z Zhang, X Shen, H Ruan - Forests, 2019 - mdpi.com
Estimating forest structural attributes of planted forests plays a key role in managing forest
resources, monitoring carbon stocks, and mitigating climate change. High-resolution and …

Combining LiDAR and hyperspectral data for aboveground biomass modeling in the Brazilian Amazon using different regression algorithms

CT de Almeida, LS Galvao, JPHB Ometto… - Remote Sensing of …, 2019 - Elsevier
Accurate estimates of aboveground biomass (AGB) in tropical forests are critical for
supporting strategies of ecosystem functioning conservation and climate change mitigation …

[HTML][HTML] Estimation of aboveground biomass of Robinia pseudoacacia forest in the Yellow River Delta based on UAV and Backpack LiDAR point clouds

J Lu, H Wang, S Qin, L Cao, R Pu, G Li, J Sun - International Journal of …, 2020 - Elsevier
Forest plantations are an important source of terrestrial carbon sequestration. The forest of
Robinia pseudoacacia in the Yellow River Delta (YRD) is the largest artificial ecological …

Detection of sub-canopy forest structure using airborne LiDAR

LR Jarron, NC Coops, WH MacKenzie… - Remote Sensing of …, 2020 - Elsevier
Abstract Knowledge on forest structure is vital for sustainable forest management decisions.
Currently, Airborne Laser Scanning (ALS) has been well established as an effective tool to …

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 …

Estimation of urban forest characteristic parameters using UAV-Lidar coupled with canopy volume

B Zhang, X Li, H Du, G Zhou, F Mao, Z Huang, L Zhou… - Remote Sensing, 2022 - mdpi.com
The estimation of characteristic parameters such as diameter at breast height (DBH),
aboveground biomass (AGB) and stem volume (V) is an important part of urban forest …