Multi-temporal LiDAR and hyperspectral data fusion for classification of semi-arid woody cover species

CL Norton, K Hartfield, CDH Collins… - Remote Sensing, 2022 - mdpi.com
Mapping the spatial distribution of woody vegetation is important for monitoring, managing,
and studying woody encroachment in grasslands. However, in semi-arid regions, remotely …

[HTML][HTML] Using Fine Resolution Remotely Sensed Data-Derived Land Cover to Inform Dryland State and Transition Models

E van der Leeuw, WJD van Leeuwen, SE Marsh… - Rangeland Ecology & …, 2024 - Elsevier
State and transition models (STMs) are widely used for organizing, understanding, and
communicating complex information regarding ecological change. One foundational …

Hyperspectral discrimination of Eichhornia crassipes covers, in the red edge and near infrared in a Mediterranean river

Y Ghoussein, G Faour, A Fadel, J Haury… - Biological …, 2023 - Springer
Hyperspectral data are important for determining and discriminating the spectral signature of
invasive aquatic species. Water hyacinth (Eichhornia crassipes) is a dangerous invasive …

A Novel Algorithm for Classifying Vegetation and Non-Vegetation Using Red Edge Slope Coefficient with Hyperspectral LCTF Imaging

B Uudus, B Oyungerel, Y Takahashi, E Dashdondog… - 2024 - preprints.org
Hyperspectral imaging, a rapidly evolving technique, furnishes exhaustive information on
Earth's surface reflectance over an extensive spectrum of wavelengths. We have developed …