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Hyperspectral Remote Sensing (HRS) is a powerful remote sensing approach for detecting and monitoring the biophysical characteristics of the Earth’s surface. Successful applications with HRS include monitoring agricultural areas, forests, urban areas, snow and ice, atmosphere,inland waters, oceans, and other natural ecosystems. Wide varieties of methods are used for analysing the hyperspectral (Hx) data (classification, physico-chemical property estimation, target abundance estimation, radiative transfer modelling etc.). However, the methods used in multi-spectral (Mx) remote sensing data analysis are not adaptable for hyperspectral data processing due to the high collinearity (redundant information) between the adjacent bands. Other difficulties are the high dimensionality of the hyperspectral data, spectral mixing, systematic or non-systematic noises and atmospheric effects. Therefore, complex and highly compute intensive data processing and analysis algorithms are required for extracting information from Hx images.
Advanced Hyperspectral Data Analysis Software(AVHYAS) plugin is a Python-3 based Quantum-GIS (QGIS) plugin designed to process and analyse hyperspectral (Hx) images. Starting with version 1.0, AVHYAS serves as a free and open-source platform for sharing and distributing Hx data analysis methods among research scholars, scientists and potential end-users. It is developed to guarantee full usage of present and future Hx airborne or space-borne sensors and provides access to advanced algorithms for Hx data processing. The software is freely available and offers a range of basic and advanced tools such as atmospheric correction (for airborne AVIRIS-NG image), standard processing tools as well as powerful machine learning and Deep Learning interfaces for Hx data analysis.
Sub-pixel Mineral Classification, Agricultural Crop Classification, Crop-Forest health monitoring, Forest Classification, Hyperspectral Data quality check, Hx-Mx co-registration, Target bio-physical property (Soil property, biomass, canopy chlorophyll content, water quality, etc.) estimation, Target identification (mineral, camouflage, etc. ), Hx-mx data fusion etc.
AVHYAS integrates powerful machine-learning and deep-learning algorithms to perform various data analysis tasks for extracting information from Hx data. Basic and advanced algorithms were incorporated in the AVHYAS toolbox aiming at the extension of the user community (in the field of hyperspectral remote sensing) in India and providing the most powerful algorithms for the analysis of the present and the future Hx-imaging sensor data. The AVHYAS plugin development was thus driven by the idea of familiarising advanced Hx image analysis algorithms with the multidisciplinary community. It was used for training the academia and research community to provide hands-on experience on Hx image analysis and always received positive responses. The AVHYAS plugin is developed at Space Applications Centre (SAC), Indian Space Research Organisation (ISRO), Ahmedabad, Gujarat.
Lyngdoh, R. B., Anand S. S., Ahmad, T., Rathore, P. S., Mishra, M., Gupta, P. K., & Misra, A. (2021). AVHYAS: A Free and Open Source QGIS Plugin for Advanced Hyperspectral Image Analysis. arXiv preprint arXiv:2106.12776.
Disclaimer: The views and opinions expressed in this article are those of the author and do not necessarily reflect the official policy or position of any agency of the Indian government.
Author: Anand S Sahadevan, Ph. D [ Data Scientist, Hyperspectral Remote Sensing ]
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