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Selection of optimal bands of AVIRIS – NG by evaluating NDVI with Sentinel-2

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Abstract

The AVIRIS-NG hyperspectral data consists of continuous spectral bands with low bandwidth, Sentinel-2 multispectral image has less number of bands with higher bandwidth. Several studies are carried out to calculate the Normalized Difference Vegetative Index (NDVI) of hyperspectral data. The studies considered a single band in the red and NIR region of hyperspectral data. In this present study, NDVI analysis is carried out by taking the mean reflectance of red and NIR wavelength region bands of the AVIRIS image. To choose the bands, a methodology is devised for AVIRIS image by analyzing and evaluating the NDVI between AVIRIS and Sentinel-2 image. The AVIRIS data consists of 7 red bands and 22 NIR bands. Root Mean Square Error (RMSE) between NDVI of all the 154 combinations of AVIRIS image bands and Sentinel-2 image is calculated for each Land Use Land Cover (LULC). Three mean NDVI are evaluated such as (i) mean of all bands reflectance; (ii) mean of band reflectance higher than [Mean + Standard deviation] (iii) the mean of the band reflectance involved lower than [Mean-Standard deviation] are compared using RMSE and linear regression. The bands that contribute to lower RMSE values are chosen and separated into band sets. The distinct sets of NDVI on various classes are validated with the existing studies and the other field data to check the RMSE and correlation. The proposed statistical sets are performed better than the existing models on various classes of land use and land cover.

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Acknowledgments

The authors would like to thank Space Application Center (SAC) Ahmadabad for the financial assistant to manpower (JRF) and data access under AVIRIS-NG AO project. The first author also work like to thank Director General, NIRD≺ Head, CGARD for their support as host institute to execute the project and accessing computation facility.

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Authors and Affiliations

  1. Department of Civil Engineering, National Institute of Technology (NIT), Warangal, Telengana, 506004, India

    Veerendra Satya Sylesh Peddinti & Shashi Mesapam

  2. Centre for Geoinformatics Applications in Rural Development (CGARD), National Institute of Rural Development and Panchayat Raj (NIRDPR), Ministry of Rural Development, Govt of India, Rajendranagar, Hyderabad, TS, 500030, India

    Venkata Ravibabu Mandla

  3. Indian Council of Agricultural Research – IIOPR, Pedavegi, West Godavari Dt., AP, 534450, India

    Suresh Kancharla

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  1. Veerendra Satya Sylesh Peddinti
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  2. Venkata Ravibabu Mandla
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  3. Shashi Mesapam
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  4. Suresh Kancharla
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Correspondence to Venkata Ravibabu Mandla.

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Communicated by: H. Babaie

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Peddinti, V.S.S., Mandla, V.R., Mesapam, S. et al. Selection of optimal bands of AVIRIS – NG by evaluating NDVI with Sentinel-2. Earth Sci Inform 14, 1285–1302 (2021). https://doi.org/10.1007/s12145-021-00662-x

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  • DOI: https://doi.org/10.1007/s12145-021-00662-x

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