In-situ and airborne hyperspectral data for detecting agricultural activities in a dense forest landscape-Reference-Cited by-同舟云学术

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

Published:2023-10 Issue: Volume:50 Page:109510
ISSN:2352-3409
Container-title:Data in Brief
language:en
Short-container-title:Data in Brief

Author:

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

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference8 articles.

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4. Spectral unmixing of forest crown components at close range, airborne and simulated Sentinel-2 and EnMAP spectral imaging scale;Clasen;Remote Sens.,2015

5. Spectral unmixing-based crop residue estimation using hyperspectral remote sensing data: a case study at Purdue University;Chi;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2014

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