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Updated: Sep 9, 2025

In Situ Soil Moisture Sensors in Undisturbed Soils
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基于土壤特性和双卫星光谱融合的改善地表土壤湿度估计

Dan Wu1,2,3, Yanan Li4,5,6, Shenglan Ye4,5,6

  • 1Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd, Xi'an, 710021, China. 18919907768@163.com.

Environmental monitoring and assessment
|August 29, 2025
PubMed
概括

通过将遥感光谱指数与脚转移功能相结合,可显著提高土壤湿度估计的准确性. 湿度光谱指数与易于测量的土壤特性相结合,可提供最准确的预测.

关键词:
格拉姆-施密特算法脚转移功能土壤水分频谱指数

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