Recent advances of hyperspectral imaging technology and applications in agriculture

B Lu, PD Dao, J Liu, Y He, J Shang - Remote Sensing, 2020 - mdpi.com
Remote sensing is a useful tool for monitoring spatio-temporal variations of crop
morphological and physiological status and supporting practices in precision farming. In …

Quantitative remote sensing at ultra-high resolution with UAV spectroscopy: a review of sensor technology, measurement procedures, and data correction workflows

H Aasen, E Honkavaara, A Lucieer, PJ Zarco-Tejada - Remote Sensing, 2018 - mdpi.com
In the last 10 years, development in robotics, computer vision, and sensor technology has
provided new spectral remote sensing tools to capture unprecedented ultra-high spatial and …

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 …

Mapping wetland plant communities using unmanned aerial vehicle hyperspectral imagery by comparing object/pixel-based classifications combining multiple …

B Du, D Mao, Z Wang, Z Qiu, H Yan… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Understanding the spatial patterns of plant communities is important for sustainable wetland
ecosystem management and biodiversity conservation. With the rapid development of …

The DOM generation and precise radiometric calibration of a UAV-mounted miniature snapshot hyperspectral imager

G Yang, C Li, Y Wang, H Yuan, H Feng, B Xu, X Yang - Remote Sensing, 2017 - mdpi.com
Hyperspectral remote sensing is used in precision agriculture to remotely and quickly
acquire crop phenotype information. This paper describes the generation of a digital …

[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 …

Radiometric and atmospheric corrections of multispectral μMCA camera for UAV spectroscopy

R Minařík, J Langhammer, J Hanuš - Remote Sensing, 2019 - mdpi.com
This study presents a complex empirical image-based radiometric calibration method for a
Tetracam μMCA multispectral frame camera. The workflow is based on a laboratory …

Classification of lowland native grassland communities using hyperspectral Unmanned Aircraft System (UAS) Imagery in the Tasmanian midlands

B Melville, A Lucieer, J Aryal - Drones, 2019 - mdpi.com
This paper presents the results of a study undertaken to classify lowland native grassland
communities in the Tasmanian Midlands region. Data was collected using the 20 band …

Determining yield of forage crops using the Canopeo mobile phone app

JM Jauregui, FG Delbino, MIB Bonvini… - Journal of New …, 2019 - nzgajournal.org.nz
One of the biggest challenges in pastoral systems is accurately determining forage
availability. Destructive sampling is the most accurate method to use but it is very time …

Radiometric assessment of a UAV-based push-broom hyperspectral camera

MAP Barreto, K Johansen, Y Angel, MF McCabe - Sensors, 2019 - mdpi.com
The use of unmanned aerial vehicles (UAVs) for Earth and environmental sensing has
increased significantly in recent years. This is particularly true for multi-and hyperspectral …