A Tool for Analysis of Spectral Indices for Remote Sensing of Vegetation and Crops Using Hyperspectral Images

Authors

DOI:

https://doi.org/10.31908/19098367.1161

Keywords:

Hyperspectral Images, Remote Sensing, Spectral Bands, Spectral Indices, Wavelength

Abstract

Food requirements in the world have increased, evidencing the necessity to improve standard techniques of agricultural production. To do so, one option is through technological elements like hyperspectral remote sensing of vegetation and crops. Remote sensing and hyperspectral imagery are not invasive methods. They allow covering large land space in a reduced amount of time. These features have done the hyper-spectral remote sensing a powerful tool used in precision agriculture. This paper presents a software application to process hyperspectral images and generating pseudo-color images computed using spectral indices. This work uses the hyperspectral images were taken by Airborne Visible-Infrared Imaging Spectrometer (AVIRIS) sensor, which was designed by the NASA. The software application aims to show different elements associated with the hyperspectral remote sensing of vegetation and crops. Functional tests are presented to verify the software requirements. Finally, quantitative results are reported comparing the results of the software proposes in this work with the ERDAS Imagine software tool.

Author Biographies

  • David Ruiz Hidalgo, Universidad del Valle

    Received the Electronic Engineering degree in 2011 and his M.Sc degree in Automatization in 2015 from Universidad del Valle, Cali, Colombia. He is developing his Ph.D. in Electrical and Electronic Engineering and is a researcher at the Perception and Intelligent Systems Group at Universidad del Valle. His current research interests are in the field of mobile robots, intelligent systems, computer vision and control systems.

  • Bladimir Bacca Cortés, Universidad del Valle

    Graduated in Electronic Engineering in 1999. He received his M.Sc. in 2004 both at the Universidad del Valle, Cali, Colombia. He received his Ph.D. at the University of Girona in 2012. He is a Professor of the Electrical and Electronic Engineering School at the Perception and Intelligent Systems Group, Universidad del Valle. His current research interests are in the field of localization and mapping for mobile robots, computer vision, focusing on SLAM and appearance-based environmental models.

  • Eduardo Caicedo Bravo, Universidad del Valle

    Received an Engineering degree in Electrical Engineering from Universidad del Valle in 1984. He received his M.Sc. in 1993 and his PhD in industrial computer in 1996 at the Universidad Politécnica de Madrid. He is a Professor of the Electrical and Electronic Engineering School at the Perception and Intelligent Systems Group, Universidad del Valle. His current research interests are in the field of mobile robotics, computer intelligence, and smart grids.

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Published

2019-12-30

Issue

Vol. 13 Núm. 26 (2019)

Section

Artículos

How to Cite

A Tool for Analysis of Spectral Indices for Remote Sensing of Vegetation and Crops Using Hyperspectral Images. (2019). Entre Ciencia E ingeniería, 13(26), 51-58. https://doi.org/10.31908/19098367.1161