MAPPING SOIL PROPERTIES WITH SATELLITE DATA USING MACHINE LEARNING APPROACHES

• 1. 使用机器学习方法利用卫星数据来映射土壤属性 [P] . 中国专利： CN113196294A . 2021-07-30
• 2. 使用机器学习方法支持对分布式系统内的计算环境的修改的实验评估 [P] . 中国专利： CN112703485A . 2021-04-23
• 3. MAPPING SOIL PROPERTIES WITH SATELLITE DATA USING MACHINE LEARNING APPROACHES [P] . EP3895067A1 . 2021-10-20

  机译： 使用机器学习方法将土壤性质映射与卫星数据

• 4. MAPPING SOIL PROPERTIES WITH SATELLITE DATA USING MACHINE LEARNING APPROACHES [P] . 美国专利： US2020184214A1 . 2020-06-11

  机译： 使用机器学习方法将土壤特性与卫星数据映射

• 5. Machine-based learning systems, methods, and apparatus for interactively mapping raw data objects to recognized data objects [P] . 美国专利： US10482393B2 . 2019-11-19

  机译： 基于机器的学习系统，方法和设备，用于将原始数据对象交互式映射到已识别的数据对象

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• 1. Digital mapping of soil salinization based on Sentinel-1 and Sentinel-2 data combined with machine learning algorithms [J] . Guolin Ma ,Jianli Ding ,Lijng Han . 区域可持续发展(英文) . 2021,第2期
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• 3. Prediction Modeling and Mapping of Soil Carbon Content Using Artificial Neural Network, Hyperspectral Satellite Data and Field Spectroscopy [J] . Sudheer Kumar Tiwari ,Sudip Kumar Saha ,Suresh Kumar . 遥感技术进展（英文） . 2015,第1期
• 4. Utilizing a new soil effective temperature scheme and archived satellite microwave brightness temperature data to estimate surface soil moisture in the Nagqu region, Tibetan Plateau of China [J] . TIAN Hui ,Mudassar IQBAL . 干旱区科学：英文版 . 2018,第1期
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