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16 ta ish

Ish: A Machine Learning-Validated Comparison of LAI Estimation Methods for Urban–Agricultural Vegetation Using Multi-Temporal Sentinel-2 Imagery in Tashkent, Uzbekistan

  1. A soil-adjusted vegetation index (SAVI)

    Alfredo Huete

    Maqola198829 iqtibos
    ABI

  2. Red and photographic infrared linear combinations for monitoring vegetation

    Compton J. Tucker

    MaqolaOchiq kirish197925 iqtibos
    ABI

  3. Overview of the radiometric and biophysical performance of the MODIS vegetation indices

    Alfredo Huete, Kamel Didan, Tomoaki Miura +3

    Maqola200215 iqtibos
    ABI

  4. Urban Ecosystem Services

    Erik Gómez‐Baggethun, Åsa Gren, David N. Barton +6

    BobOchiq kirish20135 iqtibos
    ABI

  5. Potentials and limits of vegetation indices for LAI and APAR assessment

    Frédéric Baret, G. Guyot

    Maqola19915 iqtibos
    ABI

  6. On the relation between NDVI, fractional vegetation cover, and leaf area index

    Toby N. Carlson, David A.J. Ripley

    Maqola19973 iqtibos
    ABI

  7. Estimating Leaf Area Index with a New Vegetation Index Considering the Influence of Rice Panicles

    Jiaoyang He, Ni Zhang, Xi Su +6

    Maqola20192 iqtibos
    ABI

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