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 …

Remote sensing and spectroscopy of lichens

M Rautiainen, N Kuusinen… - Ecology and Evolution, 2024 - Wiley Online Library
Lichens are combinations of two symbiotic organisms, a green alga or cyanobacterium and
a fungus. They grow in nearly all terrestrial ecosystems and survive in habitats, which are …

Pseudo-labeling approach for land cover classification through remote sensing observations with noisy labels

I Mirpulatov, S Illarionova, D Shadrin, E Burnaev - IEEE Access, 2023 - ieeexplore.ieee.org
Satellite data allows us to solve a wide range of challenging tasks remotely, including
monitoring changing environmental conditions, assessing resources, and evaluating …

Eco-hydrodynamic characterization of vegetated flows derived by UAV-based imagery

GFC Lama, M Crimaldi, A De Vivo… - … on Metrology for …, 2021 - ieeexplore.ieee.org
The quantitative assessment of the role of riverine and riparian vegetation biomass on the
effects of plants–water flow interaction in vegetated streams constitutes the main purpose of …

Integrating multi-scale remote-sensing data to monitor severe forest infestation in response to pine wilt disease

X Li, Y Liu, P Huang, T Tong, L Li, Y Chen, T Hou… - Remote Sensing, 2022 - mdpi.com
Pine wilt disease (PWD) is one of the most destructive forest diseases that has led to rapid
wilting and mortality in susceptible host pine trees. Spatially explicit detection of pine wood …

[HTML][HTML] An artificial intelligence approach to remotely assess pale lichen biomass

R Erlandsson, JW Bjerke, EA Finne, RB Myneni… - Remote Sensing of …, 2022 - Elsevier
Although generally given little attention in vegetation studies, ground-dwelling (terricolous)
lichens are major contributors to overall carbon and nitrogen cycling, albedo, biodiversity …

Estimation of boreal forest floor lichen cover using hyperspectral airborne and field data

N Kuusinen, A Hovi, M Rautiainen - Silva Fennica, 2023 - research.aalto.fi
Lichens are sensitive to competition from vascular plants, intensive silviculture, pollution and
reindeer and caribou grazing, and can therefore serve as indicators of environmental …

[HTML][HTML] Monitoring of Antarctica's Fragile Vegetation Using Drone-Based Remote Sensing, Multispectral Imagery and AI

D Raniga, N Amarasingam, J Sandino, A Doshi… - Sensors, 2024 - mdpi.com
Vegetation in East Antarctica, such as moss and lichen, vulnerable to the effects of climate
change and ozone depletion, requires robust non-invasive methods to monitor its health …

[HTML][HTML] Using Unmanned Aerial Vehicle Data to Improve Satellite Inversion: A Study on Soil Salinity

R Liu, K Jia, H Li, J Zhang - Land, 2024 - mdpi.com
The accurate and extensive monitoring of soil salinization is essential for sustainable
agricultural development. It is difficult for single remote sensing data (satellite, unmanned …

Spectral determinants of biological soil crusts in the Gurbantungut Desert

Z Wang, B Wu, Z Ma, M Zhang, H Zeng… - International Journal of …, 2023 - Taylor & Francis
As thick crustal layers form on dryland surfaces, they affect the spectral information that is
originally dominated by sand or rock. The spectral characteristics of organic matter replace …