|
|||||
|
|
| 基于可见-近红外光谱的滨海盐土土壤盐分预测方法 | |
| 引用本文： | 刘娅,潘贤章,王昌昆,李燕丽,周 睿,解宪丽,王 淼.基于可见-近红外光谱的滨海盐土土壤盐分预测方法[J].土壤学报,2012,49(4):824-829. |
| 作者姓名： | 刘娅 潘贤章 王昌昆 李燕丽 周 睿 解宪丽 王 淼 |
| 作者单位： | 1. 中国科学院土壤环境与污染修复重点实验室(南京土壤研究所),南京210008;中国科学院研究生院,北京100049 2. 中国科学院土壤环境与污染修复重点实验室(南京土壤研究所),南京,210008 3. 成都市食品药品检测中心,成都,610045 |
| 基金项目： | 国家自然科学基金、中科院战略性先导科技专项、创新前沿项目、国家水体污染控制与治理科技重大专项 |
| 摘 要： | 我国目前尚存盐渍土0.35亿hm2,潜在盐渍化土壤0.17亿hm2,15 m等深线以内的浅海和滩涂有0.14亿hm2,黄河河口及长江口以南诸省的滨海盐土都有逐年递增的趋势1]。因此,对盐渍化土壤盐渍化程度的连续、实时监测尤为重要。然而,我国在区域盐渍土制图、分区及全国性的监测预报体 |
| 关 键 词： | 滨海盐土 可见-近红外光谱 预测 电导率 偏最小二乘回归 |
| 收稿时间： | 2011/8/31 0:00:00 |
| 修稿时间： | 2011/12/26 0:00:00 |
Prediction of coastal saline soil salinity based on VIS-NIR reflectance spectroscopy |
|
| Liu Y,Pan Xianzhang,Wang Changkun,Li Yanli,Zhou Rui,Xie Xianli and Wang Miao.Prediction of coastal saline soil salinity based on VIS-NIR reflectance spectroscopy[J].Acta Pedologica Sinica,2012,49(4):824-829. | |
| Authors: | Liu Y Pan Xianzhang Wang Changkun Li Yanli Zhou Rui Xie Xianli and Wang Miao |
| Affiliation: | Institute of Soil Science, Chinese Academy of Science,Institute of Soil Science, Chinese Academy of Science |
| Abstract: | This paper studied the relationship between the spectral reflectance and soil salinity of seashore saline soil in Jiangsu Province. The PLSR and SMLR model were used respectively to construct the models to predict soil salinity based on different selection of calibration and validation sample sets. The results show that PLSR method is better than the SMLR. The high RPD and R2p of the validation results indicate that the VIS-NIR reflectance spectroscopy can be used to accurately predict soil EC, which provides a new method to monitor soil salinity in a rapid and non-destructive way, and a new basis to map regional salinization by remotely sensed satellite data. |
| Keywords: | Coastal saline soil Vis-NIR spectroscopy Prediction Electric conductivity Partial least square regression |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |
| 点击此处可从《土壤学报》浏览原始摘要信息 | |
| 点击此处可从《土壤学报》下载全文 | |
