The application of Hyperspectral Remote Sensing Imagery (HRSI) for weed detection analysis in rice fields: A review

N Sulaiman, NN Che'Ya, MH Mohd Roslim… - Applied Sciences, 2022 - mdpi.com
Weeds are found on every cropland across the world. Weeds compete for light, water, and
nutrients with attractive plants, introduce illnesses or viruses, and attract harmful insects and …

Hyperspectral image clustering: Current achievements and future lines

H Zhai, H Zhang, P Li, L Zhang - IEEE Geoscience and Remote …, 2021 - ieeexplore.ieee.org
Hyperspectral remote sensing organically combines traditional space imaging with
advanced spectral measurement technologies, delivering advantages stemming from …

One-class classification of natural vegetation using remote sensing: a review

S Rapinel, L Hubert-Moy - Remote Sensing, 2021 - mdpi.com
Advances in remote sensing (RS) technology in recent years have increased the interest in
including RS data into one-class classifiers (OCCs). However, this integration is complex …

[HTML][HTML] Improving grassland classification accuracy using optimal spectral-phenological-topographic features in combination with machine learning algorithm

H Yu, L Zhu, Y Chen, Z Yue, Y Zhu - Ecological Indicators, 2024 - Elsevier
Accurate mapping of large-scale grassland types is important for grassland and water
resources management. The similarity of spectral characteristics between grassland types …

Airborne HySpex hyperspectral versus multitemporal Sentinel-2 images for mountain plant communities mapping

M Kluczek, B Zagajewski, M Kycko - Remote Sensing, 2022 - mdpi.com
Climate change and anthropopression significantly impact plant communities by leading to
the spread of expansive and alien invasive plants, thus reducing their biodiversity. Due to …

Towards reliable monitoring of grass species in nature conservation: Evaluation of the potential of UAV and PlanetScope multi-temporal data in the Central European …

L Kupková, L Červená, M Potůčková, J Lysák… - Remote Sensing of …, 2023 - Elsevier
The reliability of remote sensing technology is essential for its efficient operational
applications in nature conservation practices. In our study, multi-temporal, multispectral, and …

Land cover classification of treeline ecotones along a 1100 km latitudinal transect using spectral‐and three‐dimensional information from UAV‐based aerial imagery

IM Mienna, K Klanderud, HO Ørka… - Remote Sensing in …, 2022 - Wiley Online Library
The alpine treeline ecotone is expected to move upwards in elevation with global warming.
Thus, mapping treeline ecotones is crucial in monitoring potential changes. Previous remote …

Detecting peatland vegetation patterns with multi-temporal field spectroscopy

Y Pang, A Räsänen, V Lindholm, M Aurela… - GIScience & Remote …, 2022 - Taylor & Francis
Peatlands are one of the most significant terrestrial carbon pools, and the processes behind
the carbon cycle in peatlands are strongly associated with different vegetation patterns …

[HTML][HTML] A multi-stage approach combining very high-resolution satellite image, gis database and post-classification modification rules for habitat mapping in Hong …

IHY Kwong, FKK Wong, T Fung, EKY Liu, RH Lee… - Remote Sensing, 2021 - mdpi.com
Identification and mapping of various habitats with sufficient spatial details are essential to
support environmental planning and management. Considering the complexity of diverse …

Analysis of vegetation canopy spectral features and species discrimination in reclamation mining area using in situ hyperspectral data

X Wang, H Xu, J Zhou, X Fang, S Shuai, X Yang - Remote Sensing, 2024 - mdpi.com
The effective identification of reclaimed vegetation species is important for the subsequent
management of ecological restoration projects in mining areas. Hyperspectral remote …