Recent advances of hyperspectral imaging technology and applications in agriculture
Remote sensing is a useful tool for monitoring spatio-temporal variations of crop
morphological and physiological status and supporting practices in precision farming. In …
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 …
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 …
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 …
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
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 …
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
This paper reviews the current status and development of remote sensing methods for
monitoring rangeland condition. Remote sensing offers ideal solutions for assessing …
monitoring rangeland condition. Remote sensing offers ideal solutions for assessing …
Comparing the performance of multispectral and hyperspectral images for estimating vegetation properties
Multispectral and hyperspectral data have been used to investigate various land cover
characteristics. Hyperspectral data have more potential to retrieve information of ground …
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 …
Different types of methods have been developed to retrieve vegetation attributes from
remote sensing data, including conventional empirical regressions (ie, linear regression …
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 …
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
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 …
pressure. Therefore, the methods for assessing their status should be easy and repeatable …