Remote sensing for precision agriculture: Sentinel-2 improved features and applications

J Segarra, ML Buchaillot, JL Araus, SC Kefauver - Agronomy, 2020 - mdpi.com
The use of satellites to monitor crops and support their management is gathering increasing
attention. The improved temporal, spatial, and spectral resolution of the European Space …

Multiscale map** of plant functional groups and plant traits in the High Arctic using field spectroscopy, UAV imagery and Sentinel-2A data

ER Thomson, MP Spiegel, IHJ Althuizen… - Environmental …, 2021 - iopscience.iop.org
The Arctic is warming twice as fast as the rest of the planet, leading to rapid changes in
species composition and plant functional trait variation. Landscape-level maps of vegetation …

Comparison of sentinel-2 and UAV multispectral data for use in precision agriculture: An application from northern Greece

N Bollas, E Kokinou, V Polychronos - Drones, 2021 - mdpi.com
The scope of this work is to compare Sentinel-2 and unmanned aerial vehicles (UAV)
imagery from northern Greece for use in precision agriculture by implementing statistical …

Upscaling drought resilience by coupling soil data and UAV-multispectral imageries

G Sofia, M Sinatra, P Tarolli, C Zaccone - Science of The Total Environment, 2025 - Elsevier
Monitoring crop responses to drought is crucial for understanding the progressive impact of
drought on food production and identifying management practices that can enhance …

Quantifying uncertainty and bridging the scaling gap in the retrieval of leaf area index by coupling Sentinel-2 and UAV observations

A Revill, A Florence, A MacArthur, S Hoad, R Rees… - Remote Sensing, 2020 - mdpi.com
Leaf area index (LAI) estimates can inform decision-making in crop management. The
European Space Agency's Sentinel-2 satellite, with observations in the red-edge spectral …

Estimating the threshold of detection on tree crown defoliation using vegetation indices from UAS multispectral imagery

K Otsu, M Pla, A Duane, A Cardil, L Brotons - Drones, 2019 - mdpi.com
Periodical outbreaks of Thaumetopoea pityocampa feeding on pine needles may pose a
threat to Mediterranean coniferous forests by causing severe tree defoliation, growth …

Uav data as an alternative to field sampling to monitor vineyards using machine learning based on uav/sentinel-2 data fusion

X Zhou, L Yang, W Wang, B Chen - Remote Sensing, 2021 - mdpi.com
Pests and diseases affect the yield and quality of grapes directly and engender noteworthy
economic losses. Diagnosing “lesions” on vines as soon as possible and dynamically …

Comparative assessment of satellite‐and drone‐based vegetation indices to predict arthropod biomass in shrub‐steppes

J Traba, J Gómez‐Catasús, A Barrero… - Ecological …, 2022 - Wiley Online Library
Arthropod biomass is a key element in ecosystem functionality and a basic food item for
many species. It must be estimated through traditional costly field sampling, normally at just …

Map** of the canopy openings in mixed beech–fir forest at Sentinel-2 subpixel level using UAV and machine learning approach

I Pilaš, M Gašparović, A Novkinić, D Klobučar - Remote Sensing, 2020 - mdpi.com
The presented study demonstrates a bi-sensor approach suitable for rapid and precise up-to-
date map** of forest canopy gaps for the larger spatial extent. The approach makes use of …

Soil salinity inversion in coastal cotton growing areas: An integration method using satellite‐ground spectral fusion and satellite‐UAV collaboration

G Qi, C Chang, W Yang, G Zhao - Land Degradation & …, 2022 - Wiley Online Library
Soil salinity is a crucial factor in agriculture, rising salinity undermines cotton (Gossypium
spp.) production in coastal areas of China and damages crops in other countries. In this …