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
| Mualliflar | Karimov, Sardor, Sotvoldiyeva, Dildora, Karimova, Barnokhon |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2024-12-27 |
| Son | 4 |
| Betlar | 352-354 |
| Til | Rus |
NDVI, SAVI, индексы, зондирование, Landsat, NDVI, SAVI, Indices, Sensing, Landsat, NDVI, SAVI, Indekslar, Sensing, Landsat
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