A review of wetland remote sensing

M Guo, J Li, C Sheng, J Xu, L Wu - Sensors, 2017 - mdpi.com
Wetlands are some of the most important ecosystems on Earth. They play a key role in
alleviating floods and filtering polluted water and also provide habitats for many plants and …

Hyperspectral classification of plants: A review of waveband selection generalisability

A Hennessy, K Clarke, M Lewis - Remote Sensing, 2020 - mdpi.com
Hyperspectral sensing, measuring reflectance over visible to shortwave infrared
wavelengths, has enabled the classification and mapping of vegetation at a range of …

A dual global–local attention network for hyperspectral band selection

K He, W Sun, G Yang, X Meng, K Ren… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article proposes a dual global–local attention network (DGLAnet), which is an end-to-
end unsupervised band selection (UBS) method that fully utilizes spatial and spectral …

Advances in satellite remote sensing of the wetland ecosystems in Sub-Saharan Africa

KH Thamaga, T Dube, C Shoko - Geocarto International, 2022 - Taylor & Francis
Wetlands are highly productive systems that act as habitats for a variety of fauna and flora.
Despite their ecohydrological significance, wetland ecosystems are severely under threat …

Species classification from hyperspectral leaf information using machine learning approaches

G Song, Q Wang - Ecological Informatics, 2023 - Elsevier
Abstract Information on plant species is fundamental to forest ecosystems, in the context of
biodiversity monitoring and forest management. Traditional methods for plant species …

Spectral features selection and classification of oil palm leaves infected by Basal stem rot (BSR) disease using dielectric spectroscopy

AY Khaled, S Abd Aziz, SK Bejo, NM Nawi… - … and Electronics in …, 2018 - Elsevier
Basal stem rot (BSR) is a prominent plant disease caused by Ganoderma boninense fungus,
which infects oil palm plantations leading to large economic losses in palm oil production …

Mapping distribution of Sundarban mangroves using Sentinel-2 data and new spectral metric for detecting their health condition

S Manna, B Raychaudhuri - Geocarto International, 2020 - Taylor & Francis
The present study explores the suitability of Sentinel-2 images for mapping the physiological
conditions of Sundarban mangroves and identifying suitable wavebands for the purpose …

Amazonian cacao-clone nibs discrimination using NIR spectroscopy coupled to naïve Bayes classifier and a new waveband selection approach

W Castro, M De-la-Torre, H Avila-George… - … Acta Part a: Molecular …, 2022 - Elsevier
Abstract Near-Infrared Spectroscopy (NIRS) has shown to be helpful in the study of rice, tea,
cocoa, and other foods due to its versatility and reduced sample treatment. However, the …

Tree species classification using hyperion and sentinel-2 data with machine learning in South Korea and China

J Lim, KM Kim, R Jin - ISPRS International Journal of Geo-Information, 2019 - mdpi.com
Remote sensing (RS) has been used to monitor inaccessible regions. It is considered a
useful technique for deriving important environmental information from inaccessible regions …

Identifying the spectral signatures of invasive and native plant species in two protected areas of Pakistan through field spectroscopy

IM Iqbal, H Balzter, A Shabbir - Remote Sensing, 2021 - mdpi.com
Globally, biological invasions are considered as one of the major contributing factors for the
loss of indigenous biological diversity. Hyperspectral remote sensing plays an important role …