In-situ and airborne hyperspectral data for detecting agricultural activities in a dense forest landscape.

Rajesh, C B; Kumar, C V S S Manohar; Jha, Sudhanshu Shekhar; Ramachandran, K I; Nidamanuri, Rama Rao

Rajesh, C B; Kumar, C V S S Manohar; Jha, Sudhanshu Shekhar; Ramachandran, K I; Nidamanuri, Rama Rao.

Afiliación

Rajesh CB; Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore 641112, India.
Kumar CVSSM; Department of Earth and Space Sciences, Indian Institute of Space Science and Technology, Valiamala, Thiruvananthapuram, Kerala, India.
Jha SS; Leipzig Institute for Meteorology, Leipzig University, Leipzig, Germany.
Ramachandran KI; Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore 641112, India.
Nidamanuri RR; Department of Earth and Space Sciences, Indian Institute of Space Science and Technology, Valiamala, Thiruvananthapuram, Kerala, India.

Data Brief ; 50: 109510, 2023 Oct.

Article en En | MEDLINE | ID: mdl-37663764

Palabras clave

Hyperspectral remote sensing; Mixture modelling; Spectral signatures; Spectral unmixing; Spectroradiometer; Target detection

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Data Brief Año: 2023 Tipo del documento: Article País de afiliación: India Pais de publicación: Países Bajos

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