Information-theoretic feature selection with segmentation-based folded principal component analysis (PCA) for hyperspectral image classification

MP Uddin, MA Mamun, MI Afjal… - International Journal of …, 2021 - Taylor & Francis
Hyperspectral image (HSI) usually holds information of land cover classes as a set of many
contiguous narrow spectral wavelength bands. For its efficient thematic mapping or …

Spatial-temporal NDVI pattern of global mangroves: A growing trend during 2000–2018

L Ruan, M Yan, L Zhang, XS Fan, H Yang - Science of The Total …, 2022 - Elsevier
Mangroves are coastal vegetation with high ecological and economic value that are mainly
distributed in tropical and subtropical intertidal zones. In the past, they have been degraded …

Identifying pine wood nematode disease using UAV images and deep learning algorithms

J Qin, B Wang, Y Wu, Q Lu, H Zhu - Remote Sensing, 2021 - mdpi.com
Pine nematode is a highly contagious disease that causes great damage to the world's pine
forest resources. Timely and accurate identification of pine nematode disease can help to …

Mapping large-scale mangroves along the maritime silk road from 1990 to 2015 using a novel deep learning model and landsat data

Y Guo, J Liao, G Shen - Remote Sensing, 2021 - mdpi.com
Mangroves are important ecosystems and their distribution and dynamics can provide an
understanding of the processes of ecological change. Meanwhile, mangroves protection is …

Environmental flow assessment for intermittent rivers supporting the most poleward mangroves

A Baubekova, A Ahrari, H Etemadi, B Klöve… - Science of the Total …, 2024 - Elsevier
The most vulnerable and dynamic ecosystems in terms of response to climate change and
fluctuations in hydrological conditions are mangroves, particularly those located on the edge …

Assessment of Iran's mangrove forest dynamics (1990–2020) using Landsat time series

Y Erfanifard, M Lotfi Nasirabad, K Stereńczak - Remote Sensing, 2022 - mdpi.com
Mangrove forests distributed along the coast of southern Iran are an important resource and
a vital habitat for species communities and the local people. In this study, accurate mapping …

Segmentation-based linear discriminant analysis with information theoretic feature selection for hyperspectral image classification

MI Afjal, MNI Mondal, MA Mamun - International Journal of Remote …, 2023 - Taylor & Francis
The use of hyperspectral imaging sensors has greatly improved the classification of remotely
sensed data because of the abundant spectral information they offer. However, the …

[HTML][HTML] Advances in Global Remote Sensing Monitoring of Discolored Pine Trees Caused by Pine Wilt Disease: Platforms, Methods, and Future Directions

H Shi, L Chen, M Chen, D Zhang, Q Wu, R Zhang - Forests, 2024 - mdpi.com
Pine wilt disease (PWD), caused by pine wood nematodes, is a major forest disease that
poses a serious threat to global pine forest resources. Therefore, the prompt identification of …

[HTML][HTML] Monitoring mangrove forest change and its impacts on the environment

MR Saoum, SK Sarkar - Ecological Indicators, 2024 - Elsevier
With a focus on the Sundarbans, this study uses remote sensing methods to thoroughly
evaluate the dynamics of mangrove forest change and the ensuing environmental effects …

Combining Geographical Information System (GIS) and machine learning to monitor and predict vegetation vulnerability: An Empirical Study on Nijhum Dwip …

S Abdullah, D Barua - Ecological Engineering, 2022 - Elsevier
Vegetation loss has become a global concern as it is directly and indirectly harmful to all
living beings, specifically to humans. By realizing the dimension of this issue, we have …