Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

The role of sleep in strengthening face learning and memory consolidation: A systematic review.

Cognitive, affective & behavioral neuroscience·2026
Same author

Impacts of concentrated leachate recirculation on methane production suppression, odorous gas emissions, and salinity accumulation in municipal solid waste.

Waste management (New York, N.Y.)·2026
Same author

Characterization of the biosynthetic enzymes of the <i>Morus alba</i> benzofuran natural products.

Science advances·2026
Same author

Achieving Advanced Performance: Progress and Prospects on Non-Traditional Rechargeable Zinc-Air Batteries.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Impact of Clostridioides difficile Infection on Clinical Outcomes in Hospitalized Patients With Inflammatory Bowel Disease.

Journal of clinical gastroenterology·2026
Same author

Antibiotics for Uncomplicated Acute Appendicitis.

JAMA·2026
Same journal

Year-long cumulative effect assessment of water quality and sludge reduction in Jayanti Ki Rao channel through strategized biological treatment using principal component analysis-a case study.

Environmental monitoring and assessment·2026
Same journal

Assessing layer-specific vegetation diversity responses to environmental gradients in a riparian corridor.

Environmental monitoring and assessment·2026
Same journal

Zero-shot burned area mapping with the Segment Anything Model (SAM): a label-free framework for post-fire environmental assessment.

Environmental monitoring and assessment·2026
Same journal

A study on greenhouse gas emissions from asphalt pavement cross-sections: a comparison between roadside and central areas.

Environmental monitoring and assessment·2026
Same journal

Biosensing application of microbial fuel cells for organic matter and copper ion monitoring in constructed wetlands.

Environmental monitoring and assessment·2026
Same journal

Microplastic accumulation in fish and water: a case study from a protected reservoir in a megacity.

Environmental monitoring and assessment·2026
查看所有相关文章

相关实验视频

Updated: May 10, 2025

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.2K

使用多源无人机图像和机器学习技术估计土壤度.

Yingyue Han1, Shuai Zhang2,3, Cong Dai1

  • 1Department of Civil Engineering, Zhejiang University, Hangzhou, 310058, China.

Environmental monitoring and assessment
|April 24, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种使用无人机数据和机器学习的新方法,以准确地绘制土壤 (Cd) 污染的地图. 这种方法为环境监测提供了比传统的土壤采样更快,更有效的替代方案.

关键词:
受污染的场所被污染了机器学习 机器学习多光谱图像图像学土壤污染 土壤污染无人驾驶飞行器是一种无人驾驶飞行器.

更多相关视频

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
11:49

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Published on: February 2, 2019

9.2K
Two-Dimensional Visualization and Quantification of Labile, Inorganic Plant Nutrients and Contaminants in Soil
12:03

Two-Dimensional Visualization and Quantification of Labile, Inorganic Plant Nutrients and Contaminants in Soil

Published on: September 1, 2020

6.0K

相关实验视频

Last Updated: May 10, 2025

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.2K
Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
11:49

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Published on: February 2, 2019

9.2K
Two-Dimensional Visualization and Quantification of Labile, Inorganic Plant Nutrients and Contaminants in Soil
12:03

Two-Dimensional Visualization and Quantification of Labile, Inorganic Plant Nutrients and Contaminants in Soil

Published on: September 1, 2020

6.0K

科学领域:

  • 环境科学 环境科学
  • 遥感 遥感 遥感 遥感
  • 地理空间分析的研究.

背景情况:

  • 城市化和工业化导致土壤广泛受到重金属污染,造成生态和健康风险.
  • 传统的土壤重金属测绘是昂贵和缓慢的,需要创新的解决方案.
  • (Cd) 是一个重要的土壤污染物,需要有效的监测策略.

研究的目的:

  • 开发和验证一种新的方法来估计土壤 (Cd) 度,使用无人机 (UAV) 基于多源数据和机器学习.
  • 将拟议方法的准确性与传统的Kriging插值进行比较.
  • 确定影响土壤Cd分布的关键环境因素.

主要方法:

  • 集成无人机捕获的多光谱图像,数字海拔模型 (DEM) 和高分辨率RGB空中图像.
  • 提取环境因素,包括接近污染源,地形特征和遥感指数.
  • 机器学习算法的应用,特别是渐变增强决策树 (GBDT),用于土壤Cd度的估计.

主要成果:

  • 梯度增强决策树 (GBDT) 模型在土壤Cd估计中取得了最高的准确性.
  • 拟议的基于无人机的机器学习方法显著优于Kriging插值,将平均平方误差 (MSE) 降低了37%,平均绝对误差 (MAE) 降低了22%.
  • 接近污染源被确定为影响土壤Cd度的最关键因素.

结论:

  • 基于无人机的多源数据与机器学习相结合,为土壤Cd污染评估提供了一个高度准确和高效的方法.
  • 这种方法补充了传统的土壤采样,增强了热点检测和有针对性的整治工作.
  • 这些发现支持无人机遥感用于有效的环境监测和土地管理.