CN114814167B - 融合多源环境变量与光谱信息的土壤重金属含量反演方法 - Google Patents
融合多源环境变量与光谱信息的土壤重金属含量反演方法 Download PDFInfo
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CN115879061B (zh) * | 2023-02-22 | 2023-07-25 | 武汉正元环境科技股份有限公司 | 一种重金属检测方法与装置 |
CN117269078B (zh) * | 2023-11-21 | 2024-03-22 | 核工业北京地质研究院 | 土壤阳离子交换量的确定方法 |
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CN103529189B (zh) * | 2013-06-28 | 2016-01-06 | 四川农业大学 | 一种基于定性和定量辅助变量的土壤有机质空间分布预测方法 |
CN103499529B (zh) * | 2013-10-09 | 2016-03-16 | 北京大学 | 一种土壤与植被混合光谱测量方法及模拟系统 |
US20170286574A1 (en) * | 2016-03-31 | 2017-10-05 | United States Of America As Represented By The Secretary Of The Army | Predictive soil analysis |
CN107144535A (zh) * | 2017-05-19 | 2017-09-08 | 南京信息工程大学 | 一种基于高光谱技术的碱化土壤空间酸碱度监测方法 |
CN107478580B (zh) * | 2017-07-31 | 2020-08-25 | 中国科学院遥感与数字地球研究所 | 基于高光谱遥感的土壤重金属含量估算方法及装置 |
US20210172800A1 (en) * | 2019-12-10 | 2021-06-10 | Perkinelmer Health Sciences Canada, Inc. | Systems and Methods for Analyzing Unknown Sample Compositions Using a Prediction Model Based On Optical Emission Spectra |
CN114021900A (zh) * | 2021-10-14 | 2022-02-08 | 清华大学 | 反演土壤重金属污染风险等级的方法 |
CN114018833B (zh) * | 2021-11-07 | 2023-12-19 | 福建师范大学 | 基于高光谱遥感技术估算土壤重金属含量的方法 |
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