Hyperspectral inversion of heavy metals in soil of a mining area using extreme learning machine

W MA, K TAN, H LI, Q YAN - Journal of Ecology and Rural Environment, 2016 - ere.ac.cn
In recent years, the technology of visible and near infrared spectral inversion of heavy
metals in soil of a mining area has been attracting more and more attention. However, the …

基于超限学习机的矿区土壤重金属高光谱反演

马伟波, 谭琨, 李海东, 闫庆武 - 生态与农村环境学报, 2016 - ere.ac.cn
近年来采用可见光近红外光谱反演矿区土壤重金属受到重视, 但土壤中重金属含量微小,
光谱特性非常脆弱, 对反演模型提出了较高要求. 针对复垦矿区的土壤重金属反演研究 …

无人机在矿区表土特征及地质灾害监测中的应用

龙林丽, 刘英, 张旭阳, 苏永东, 陈孝杨 - 煤田地质与勘探, 2021 - mtdzykt.com
随着无人机的出现和发展, 各种传感器的小型化和智能化程度不断提高, 装载传感器的无人机
成为获得空间数据的高效工具. 因其成本低, 重访周期短, 快速高效, 质轻灵活, 操作简便 …

基于连续小波变换和随机森林的芦苇叶片汞含量反演

李梦洁, 张曼胤, 崔丽娟, 王贺年, 郭子良… - 中国生态农业学报(中 …, 2018 - ecoagri.ac.cn
植物重金属污染是当今世界面临的重大生态环境问题之一, 高光谱技术为快速,
大面积监测植被重金属含量提供了可能性. 本研究以重金属汞(Hg) 和湿地植物芦苇为研究对象 …

[HTML][HTML] 矿区土壤重金属污染遥感反演研究进展

韩玲, 刘志恒, 宁昱铭, 赵中阳 - 矿产保护与利用, 2019 - xml-data.org
随着工矿企业开采力度加剧, 采矿废气排放与废水灌溉增多, 矿区表层土壤重金属污染日渐成为
人们关注的环境热点问题. 如何快速高效地掌握矿区土壤重金属含量空间分布是进行矿区开采及 …

Application of unmanned aerial vehicle in surface soil characterization and geological disaster monitoring in mining areas

L Linli, LIU Ying, Z Xuyang… - Coal Geology & …, 2021 - cge.researchcommons.org
With the emergence and development of UAVs and the improvement of the miniaturization
and intelligence of various sensor, UAVs equipped with sensors have become an efficient …

Inversion of Hg content in reed leaf using continuous wavelet transformation and random forest

M LI, M ZHANG, L CUI, H WANG, Z GUO… - Chinese Journal of …, 2018 - ecoagri.ac.cn
Heavy metal pollution of plants is one of the most important eco-environmental problems in
the world. Rapid and large-scale monitoring of heavy metal content in plants has always …

[引用][C] 基于高光谱反演的复垦区土壤重金属含量经验模型优选

陈元鹏, 张世文, 罗明, 郧文聚, 鞠正山, 李少帅 - 农业机械学报, 2019

[引用][C] Study on hyperspectrum response of Carex cinerascens to copper pollution

S Pengfei, Z Dan, N Caiying… - Chinese …, 2016 - Chinese Journal of Environmental …