This article presents a methodology for integrating multi-source geospatial data for soil salinity modeling. Field and laboratory observations, Sentinel-2 MSI imagery, spectral indices, and hydrogeological factors such as groundwater depth and groundwater salinity were combined within a unified system. As a result, a step-by-step framework for building analytical and raster datasets applicable to regression, classification, monitoring, and mapping of soil salinity was proposed.
| Mualliflar | Babajanov, Boburbek, Allamov, O.T., Atayeva , Z.J. |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2026-05-11 |
| Son | 2 |
| Betlar | 150-157 |
| Til | Rus |
soil salinity, geospatial data, Sentinel-2, remote sensing, spectral indices, electrical conductivity, groundwater depth, groundwater salinity, dataset, modeling, засоление почв, геоданные, Sentinel-2, дистанционное зондирование, спектральные индексы, электропроводность, уровень грунтовых вод, засоленность грунтовых вод, датасет, моделирование, tuproq sho‘rlanishi, geoma’lumotlar, Sentinel-2, masofadan zondlash, spektral indekslar, elektr o‘tkazuvchanlik, yer osti suvi sathi, yer osti suvi sho‘rligi, dataset, modellashtirish
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