Al-Farg'oniy avlodlari (The descendants of Al-Fargani)
Published December 25, 2024 | Version v2
Journal article Open

COMPARISON OF MULTISERVICE REMOTE SENSING DATA FOR VEGETATION INDEX ANALYSIS

Creators

  • 1. Lecturer of the "Information Technologies" department of the Fergana branch of the Tashkent University of Information Technologies named after Muhammad al-Khorazmi
  • 2. Assistant of the department "Information technologies" of the Fergana branch of the Tashkent University of Information Technologies named after Muhammad al-Khorazmi
  • 3. Student of the Faculty of "Computer Engineering and Artificial Intelligence", Fergana branch of Tashkent University of Information Technologies named after Muhammad al-Khorazmi

Description

With advancements in satellite sensors, multi-source observation systems have become widely utilized. However, significant disparities exist among quantitative remote sensing products due to variations in observational methods and retrieval algorithms. This study investigates the quantitative relationships between the Normalized Difference Vegetation Index (NDVI), Soil-Adjusted Vegetation Index (SAVI), and a vegetation index derived using the universal decomposition method for data from Landsat 2+ and Landsat 3 sensors

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References

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