PROCESSING GNDVI AND CVI SPECTRAL INDICES BASED ON DISTANCE SCOMING DATA

Authors

  • K.K. Seitnazarov

    Nukus State Technical University

  • S.M. Madirimova

    Tashkent University of Information Technology image/svg+xml

  • B.K. Turemuratova

    Nukus State Technical University

  • B.B. Aitmuratov

    Nukus State Technical University

Keywords: earth remote sensing, multispectral imagery, data preprocessing, vegetation indices, GNDVI, CVI, atmospheric correction, expert systems, geoinformation technologies

Abstract

This article focuses on the computation of the GNDVI and CVI vegetation indices, which exhibit high sensitivity to vegetation condition, particularly to chlorophyll content. It is also noted that the module architecture is based on a pipeline approach, which ensures modularity, scalability, and robustness in the processing of large volumes of satellite imagery. The implementation includes computational optimization as well as integration with a geospatial PostgreSQL/PostGIS database.

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