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广西会仙喀斯特灌木林土壤反射高光谱数据集（2020）
Soil reflectance hyperspectral data set of karst shrubbery in Huixian, Guangxi 2020
倪隆康，何文(广西壮族自治区中国科学院广西植物研究所)
发布时间：2023/11/15 15:47:17
摘要
我们通过对广西会仙典型喀斯特灌木林地内土壤进行代表性取样并进行标准化处理，获得了喀斯特灌木林土壤的反射光谱数据集。采样区范围在阳坡中段，采样蛇形布点法对表层20cm土壤进行取样，样本带回实验室后，剔除碎石、植物根系等杂质，经风干处理后用机器研磨过筛。在黑暗的实验室内采用美国 ASD FieldSpec 4 Hi-Res 光谱仪采集土壤反射光谱信息。测定时，将土样均匀铺在反射率近似为0的黑色垫板上，并刮平至1~2 mm厚，使土样表面尽量平整均匀。测量光谱范围是350nm至2500nm。该数据集可为土壤遥感分类提供基础数据支撑。
The reflectance spectral data set of karst shrubland soil in Huixian, Guangxi is obtained through representative sampling and standardized processing. The sampling site located in the middle part at the sunny slope of a karst mountain and the soil samples at surface 20 cm were collected by means of a snk-shaped distribution method. After the samples were taken back to the laboratory, impurities such as gravel and plant roots were removed and then ground and screened by a machine after air drying. ASD FieldSpec 4 Hi-Res spectrometer was used to collect soil reflectance spectral information. When measuring, the soil sample is evenly spread on a black pad with a reflectivity of approximately 0, and is flattened to 1~2 mm thick, so that the surface of the soil sample is as smooth and uniform as possible. The measured spectral range ranges from 350nm to 2500nm. This data set can provide basic data support for soil remote sensing classification.
关键词
喀斯特灌木林，土壤，高光谱
数据集信息
数据引用
| 必引文献: |
倪隆康，何文，顾大形 . 广西喀斯特地区土壤 Ca 含量高光谱反演研究［J］. 江西农业大学学报，2020，42（1）：203-212. |
| 数据引用: |
数据来源于：广西会仙喀斯特灌木林土壤反射高光谱数据集（2020）,倪隆康，何文(广西壮族自治区中国科学院广西植物研究所), 2023, 中国科学院植物科学数据中心, DOI:10.12282/plantdata.1422, CSTR:34735.11.PLANTDATA.1422
Normative references：Soil reflectance hyperspectral data set of karst shrubbery in Huixian, Guangxi 2020, 2023, Plant Data Center of Chinese Academy of Sciences, DOI:10.12282/plantdata.1422, CSTR:34735.11.PLANTDATA.1422 |
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中文致谢方式：
感谢中国科学院植物科学数据中心(Plant Data Center of Chinese Academy of Sciences, https://www.plantplus.cn) 提供数据支撑。
To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.
Acknowledgements：
Acknowledgement for the data support from Plant Data Center of Chinese Academy of Sciences (https://www.plantplus.cn).
