Wetland identification through remote sensing: Insights into wetness, greenness, turbidity, temperature, and changing landscapes

Author:

Aslam Rana WaqarORCID,Shu Hong,Javid Kanwal,Pervaiz Shazia,Mustafa Farhan,Raza Danish,Ahmed Bilal,Quddoos Abdul,Al-Ahmadi Saad,Hatamleh Wesam Atef

Funder

Wuhan University

State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing

King Saud University

Publisher

Elsevier BV

Subject

Information Systems and Management,Computer Science Applications,Information Systems,Management Information Systems

Reference66 articles.

1. Hyperspectral Image Band Selection Based on CNN Embedded GA (CNNeGA);Esmaeili;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2023

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3. Assessment of Water Quality Parameters Using Temporal Remote Sensing Spectral Reflectance in Arid Environments, Saudi Arabia;Elhag;Water,2019

4. Change Detection in High Resolution Satellite Images Using an Ensemble of Convolutional Neural Networks;Lim,2018

5. Multiscale Dual-Branch Residual Spectral–Spatial Network With Attention for Hyperspectral Image Classification;Ghaderizadeh;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2022

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