Remote Sensing
土壤盐分定量预测
Quantitative Prediction of Soil SalinityA method utilizing radar-optical multi-source remote sensing data combined with deep learning algorithms to estimate soil salinity levels in specific regions. / 一种利用雷达-光学多源遥感数据结合深度学习算法估算特定区域土壤盐分水平的方法。
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- 实际应用
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- 农场主
- Last updated
- 2026-11-02 21:05:30
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Radar-optical multi-source remote sensing data: Input data combining radar and optical imageryDeep learning: Computational method used for predictionYutian Oasis, Xinjiang, China: Study area
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ranked by community starsIntegrating radar-optical multi-source remote sensing data and deep learning for quantitative prediction of soil salinity in the Yutian Oasis, Xinjiang, ChinaOpen source
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1 recordsRecord title: Quantitative Prediction of Soil Salinity.
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