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 …

The widespread use of remote sensing in asbestos, vegetation, oil and gas, and geology applications

LK Torres Gil, D Valdelamar Martínez, M Saba - Atmosphere, 2023 - mdpi.com
Remote sensing is the technique of acquiring data from the earth's surface from sensors
installed on satellites or on manned or unmanned aircrafts. Its use is common in dozens of …

Multispectral imagery provides benefits for mapping spruce tree decline due to bark beetle infestation when acquired late in the season

S Junttila, R Näsi, N Koivumäki, M Imangholiloo… - Remote Sensing, 2022 - mdpi.com
Climate change is increasing pest insects' ability to reproduce as temperatures rise,
resulting in vast tree mortality globally. Early information on pest infestation is urgently …

Impact of sun-view geometry on canopy spectral reflectance variability

H Jafarbiglu, A Pourreza - ISPRS Journal of Photogrammetry and Remote …, 2023 - Elsevier
UAS-based remote sensing has been rapidly growing in numerous fields, including
agriculture and environmental studies. However, the lack of a practical and reliable …

NIR-triggered high-efficiency self-healable protective optical coating for vision systems

JE Jeong, JW Lee, MJ Bae, HE Bae… - … applied materials & …, 2023 - ACS Publications
Recently, self-healing materials have evolved to recover specific functions such as
electronic, magnetic, acoustic, structural or hierarchical, and biological properties. In …

A new method for calculating water quality parameters by integrating space–ground hyperspectral data and spectral-in situ assay data

D Zhang, L Zhang, X Sun, Y Gao, Z Lan, Y Wang… - Remote Sensing, 2022 - mdpi.com
The effective integration of aerial remote sensing data and ground multi-source data has
always been one of the difficulties of quantitative remote sensing. A new monitoring mode is …

[HTML][HTML] Perennial ryegrass biomass retrieval through multispectral UAV data

GT Alckmin, A Lucieer, R Rawnsley… - Computers and Electronics …, 2022 - Elsevier
Frequent biomass measurement is a key activity for optimal perennial ryegrass (Lolium
perenne) management in intensive forage-based dairy operations. Due to the necessary …

Mapping surface features of an alpine glacier through multispectral and thermal drone surveys

M Rossini, R Garzonio, C Panigada, G Tagliabue… - Remote Sensing, 2023 - mdpi.com
Glacier surfaces are highly heterogeneous mixtures of ice, snow, light-absorbing impurities
and debris material. The spatial and temporal variability of these components affects ice …

[HTML][HTML] Radiometric calibration of a large-array commodity CMOS multispectral camera for UAV-borne remote sensing

X Zhou, C Liu, Y Xue, A Akbar, S Jia, Y Zhou… - International Journal of …, 2022 - Elsevier
To meet the requirement of high-resolution and high-efficiency unmanned aerial vehicle
(UAV)-borne multispectral remote sensing, using the miniaturized large-array commodity …

[HTML][HTML] Improving radiometric block adjustment for UAV multispectral imagery under variable illumination conditions

Y Wang, Z Yang, HA Khan, G Kootstra - Remote Sensing, 2024 - mdpi.com
Unmanned aerial vehicles (UAVs) equipped with multispectral cameras offer great potential
for applications in precision agriculture. A critical challenge that limits the deployment of this …