A review of estimation methods for aboveground biomass in grasslands using UAV

COG Bazzo, B Kamali, C Hütt, G Bareth, T Gaiser - Remote Sensing, 2023 - mdpi.com
Grasslands are one of the world's largest ecosystems, accounting for 30% of total terrestrial
biomass. Considering that aboveground biomass (AGB) is one of the most essential …

Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance

H Aasen, A Burkart, A Bolten, G Bareth - ISPRS Journal of Photogrammetry …, 2015 - Elsevier
This paper describes a novel method to derive 3D hyperspectral information from lightweight
snapshot cameras for unmanned aerial vehicles for vegetation monitoring. Snapshot …

A novel machine learning method for estimating biomass of grass swards using a photogrammetric canopy height model, images and vegetation indices captured by a …

N Viljanen, E Honkavaara, R Näsi, T Hakala… - Agriculture, 2018 - mdpi.com
Silage is the main feed in milk and ruminant meat production in Northern Europe. Novel
drone-based remote sensing technology could be utilized in many phases of silage …

[HTML][HTML] Machine learning estimators for the quantity and quality of grass swards used for silage production using drone-based imaging spectrometry and …

RA Oliveira, R Näsi, O Niemeläinen, L Nyholm… - Remote Sensing of …, 2020 - Elsevier
Drones offer entirely new prospects for precision agriculture. This study investigates the
utilisation of drone remote sensing for managing and monitoring silage grass swards. In …

Estimating biomass in temperate grassland with high resolution canopy surface models from UAV-based RGB images and vegetation indices

U Lussem, A Bolten, J Menne, ML Gnyp… - Journal of Applied …, 2019 - spiedigitallibrary.org
Monitoring grassland biomass throughout the growing season is of key importance in
sustainable, site-specific management decisions. Precision agriculture applications can …

Mapping and monitoring of biomass and grazing in pasture with an unmanned aerial system

A Michez, P Lejeune, S Bauwens, AAL Herinaina… - Remote Sensing, 2019 - mdpi.com
The tools available to farmers to manage grazed pastures and adjust forage demand to
grass growth are generally rather static. Unmanned aerial systems (UASs) are interesting …

Perspectives and prospects of unmanned aerial vehicle in remote sensing monitoring of biodiversity

Q Guo, F Wu, T Hu, L Chen, J Liu, X Zhao… - Biodiversity …, 2016 - biodiversity-science.net
During the past decade, unmanned aerial vehicle (UAV) based remote sensing has been
increasingly used in the fields of vegetation inventory, natural resource management, and …

RGB vegetation indices applied to grass monitoring: A qualitative analysis

BDS Barbosa, GAS Ferraz, LM Gonçalves, DB Marin… - 2019 - dspace.emu.ee
In developing countries such as Brazil, research on low-cost remote sensing and
computational techniques become essential for the development of precision agriculture …

[PDF][PDF] A comparison of UAV-and TLS-derived plant height for crop monitoring: using polygon grids for the analysis of crop surface models (CSMs)

G Bareth, J Bendig, N Tilly, D Hoffmeister… - Photogramm …, 2016 - dgpf.de
Multi-temporal crop surface models (CSMs) are a reliable method for agricultural crop
monitoring. They provide 3-dimensional representations of crop canopies, preferably …

Application of rgb images obtained by uav in coffee farming

BDS Barbosa, G Araújo e Silva Ferraz… - Remote Sensing, 2021 - mdpi.com
The objective of this study was to evaluate the potential of the practical application of
unmanned aerial vehicles and RGB vegetation indices (VIs) in the monitoring of a coffee …