Review of ground and aerial methods for vegetation cover fraction (fCover) and related quantities estimation: definitions, advances, challenges, and future …

L Li, X Mu, H Jiang, F Chianucci, R Hu, W Song… - ISPRS Journal of …, 2023 - Elsevier
Vegetation cover fraction (fCover) and related quantities are basic yet critical vegetation
structure variables in various disciplines and applications. Ground-and aerial-based …

Generalizing predictive models of forest inventory attributes using an area-based approach with airborne LiDAR data

M Bouvier, S Durrieu, RA Fournier… - Remote Sensing of …, 2015 - Elsevier
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 …

Comparison of Sentinel-2 and Landsat 8 in the estimation of boreal forest canopy cover and leaf area index

L Korhonen, P Packalen, M Rautiainen - Remote sensing of environment, 2017 - Elsevier
We present the first comparison of Sentinel-2A (S2) MSI (Multi-Spectral Instrument) and
Landsat 8 (L8) OLI (Operational Land Imager) data in the retrieval of forest canopy cover …

Urban tree species mapping using hyperspectral and lidar data fusion

M Alonzo, B Bookhagen, DA Roberts - Remote sensing of environment, 2014 - Elsevier
In this study we fused high-spatial resolution (3.7 m) hyperspectral imagery with 22 pulse/m
2 lidar data at the individual crown object scale to map 29 common tree species in Santa …

Airborne discrete-return LIDAR data in the estimation of vertical canopy cover, angular canopy closure and leaf area index

L Korhonen, I Korpela, J Heiskanen… - Remote Sensing of …, 2011 - Elsevier
Remote sensing of forest canopy cover has been widely studied recently, but little attention
has been paid to the quality of field validation data. Ecological literature has two different …

Estimation of LAI with the LiDAR technology: A review

Y Wang, H Fang - Remote Sensing, 2020 - mdpi.com
Leaf area index (LAI) is an important vegetation parameter. Active light detection and
ranging (LiDAR) technology has been widely used to estimate vegetation LAI. In this study …

Beyond single receptive field: A receptive field fusion-and-stratification network for airborne laser scanning point cloud classification

Y Mao, K Chen, W Diao, X Sun, X Lu, K Fu… - ISPRS Journal of …, 2022 - Elsevier
The classification of airborne laser scanning (ALS) point clouds is a critical task of remote
sensing and photogrammetry fields. Although recent deep learning-based methods have …

Understanding forest health with remote sensing-part II—A review of approaches and data models

A Lausch, S Erasmi, DJ King, P Magdon, M Heurich - Remote Sensing, 2017 - mdpi.com
Stress in forest ecosystems (FES) occurs as a result of land-use intensification, disturbances,
resource limitations or unsustainable management, causing changes in forest health (FH) at …

[HTML][HTML] Mapping tree species using advanced remote sensing technologies: A state-of-the-art review and perspective

R Pu - Journal of remote sensing, 2021 - spj.science.org
Timely and accurate information on tree species (TS) is crucial for developing strategies for
sustainable management and conservation of artificial and natural forests. Over the last four …

[HTML][HTML] Improving leaf chlorophyll content estimation through constrained PROSAIL model from airborne hyperspectral and LiDAR data

L Xu, S Shi, W Gong, Z Shi, F Qu, X Tang… - International Journal of …, 2022 - Elsevier
Leaf chlorophyll plays an important role in forest management and ecosystem balance.
Hyperspectral images have been widely applied in leaf chlorophyll content (LCC) …