Species-level classification of mangrove forest using AVIRIS-NG hyperspectral imagery

• Published in: Remote sensing letters Vol. 14; no. 5; pp. 522 - 533
• Main Authors: Paramanik, Somnath, Deep, Nikhil Raj, Behera, Mukunda Dev, Bhattacharya, Bimal Kumar, Dash, Jadunandan
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 04.05.2023; Taylor & Francis Ltd
• Subjects: Absorption; absorption band depth; Absorption spectra; Accuracy; Airborne sensing; Avicennia officinalis; AVIRIS; Bhitarkanika Wildlife Sanctuary; Classification; continuum removal; Excoecaria agallocha; Geographical distribution; Heritiera fomes; Hyperspectral imaging; Image classification; Imaging spectrometers; Independent variables; Infrared imaging; Infrared spectrometers; Mangrove swamps; Mangroves; Random Forest; Rehabilitation; Spatial discrimination; Spatial resolution; Species; Species classification; spectral signature; Water absorption; Wavelengths

Species-level classification of mangroves provides important inputs for conservation, rehabilitation and understanding of ecosystem functions. The hyperspectral sensor, Airborne Visible InfraRed Imaging Spectrometer-New Generation (AVIRIS-NG), holds promises for species-level discrimination by virtu...