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 …

Unmanned aerial vehicles in hydrology and water management: Applications, challenges, and perspectives

BS Acharya, M Bhandari, F Bandini… - Water Resources …, 2021 - Wiley Online Library
The hydrologic sciences and water resources management have long depended on a
combination of in situ measurements and remotely sensed data for research and regulatory …

The Effects of Spatial Resolution and Resampling on the Classification Accuracy of Wetland Vegetation Species and Ground Objects: A Study Based on High Spatial …

J Chen, Z Chen, R Huang, H You, X Han, T Yue… - Drones, 2023 - mdpi.com
When employing remote sensing images, it is challenging to classify vegetation species and
ground objects due to the abundance of wetland vegetation species and the high …

Spatial resolution, spectral metrics and biomass are key aspects in estimating plant species richness from spectral diversity in species‐rich grasslands

C Rossi, M Kneubühler, M Schütz… - Remote Sensing in …, 2022 - Wiley Online Library
Increasing evidence suggests that remotely sensed spectral diversity is linked to plant
species richness. However, a conflicting spectral diversity–biodiversity relationship in …

Using deep learning to detect an indicator arid shrub in ultra-high-resolution UAV imagery

A Retallack, G Finlayson, B Ostendorf, M Lewis - Ecological Indicators, 2022 - Elsevier
Effective monitoring of arid and semi-arid rangelands around the world is essential to
understand and combat degradation caused by anthropogenic use and facilitate effective …

[HTML][HTML] Remote sensing for monitoring rangeland condition: current status and development of methods

A Retallack, G Finlayson, B Ostendorf, K Clarke… - Environmental and …, 2023 - Elsevier
This paper reviews the current status and development of remote sensing methods for
monitoring rangeland condition. Remote sensing offers ideal solutions for assessing …

Comparing the performance of multispectral and hyperspectral images for estimating vegetation properties

B Lu, Y He, PD Dao - IEEE Journal of selected topics in applied …, 2019 - ieeexplore.ieee.org
Multispectral and hyperspectral data have been used to investigate various land cover
characteristics. Hyperspectral data have more potential to retrieve information of ground …

Evaluating empirical regression, machine learning, and radiative transfer modelling for estimating vegetation chlorophyll content using bi-seasonal hyperspectral …

B Lu, Y He - Remote Sensing, 2019 - mdpi.com
Different types of methods have been developed to retrieve vegetation attributes from
remote sensing data, including conventional empirical regressions (ie, linear regression …

A UAV-based framework for crop lodging assessment

X Li, X Li, W Liu, B Wei, X Xu - European journal of agronomy, 2021 - Elsevier
Crop lodging assessment needs to be carried out timely and accurately to ensure valuable
information about the location and area where lodging occurs. Many applications have been …

Unmanned aerial systems accurately map rangeland condition indicators in a dryland savannah

V Amputu, N Knox, A Braun, S Heshmati, R Retzlaff… - Ecological …, 2023 - Elsevier
Dry savannahs are highly sensitive to climate change and under intense anthropogenic
pressure. Therefore, the methods for assessing their status should be easy and repeatable …