Overall results and key findings on the use of UAV visible-color, multispectral, and thermal infrared imagery to map agricultural drainage pipes-Reference-Cited by-同舟云学术

Overall results and key findings on the use of UAV visible-color, multispectral, and thermal infrared imagery to map agricultural drainage pipes

Published:2020-04 Issue: Volume:232 Page:106036
ISSN:0378-3774
Container-title:Agricultural Water Management
language:en
Short-container-title:Agricultural Water Management

Author:

Allred Barry,Martinez Luis,Fessehazion Melake K.,Rouse Greg,Williamson Tanja N.,Wishart DeBonne,Koganti Triven,Freeland Robert,Eash Neal,Batschelet Adam,Featheringill Robert

Publisher

Elsevier BV

Subject

Earth-Surface Processes,Soil Science,Water Science and Technology,Agronomy and Crop Science

Reference28 articles.

1. Subsurface drainage mapping by airborne infrared imagery techniques;Abdel-Hadi;Proc. Okla. Acad. Sci.,1970

2. Detection of buried agricultural drainage pipe with geophysical methods;Allred;Appl. Eng. Agric.,2004

3. Important considerations for locating buried agricultural drainage pipe using ground penetrating radar;Allred;Appl. Eng. Agric.,2005

4. Agricultural drainage pipe assessment using ground penetrating radar: impact of pipe condition, shallow hydrology, and antenna characteristics;Allred;J. Environ. Eng. Geophys.,2010

5. A GPR agricultural drainage pipe detection case study: effects of antenna orientation relative to drainage pipe directional trend;Allred;J. Environ. Eng. Geophys.,2013

Cited by 41 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Systematic review of the detection of subsurface drainage systems in agricultural fields using remote sensing systems;Agricultural Water Management;2024-06

2. Deep Learning-Based Weed–Crop Recognition for Smart Agricultural Equipment: A Review;Agronomy;2024-02-11

3. Smart Irrigation Management Through Unmanned Aerial Vehicles (UAVs);Advances in Geographical and Environmental Sciences;2024

4. Significant roles of smart sensors in the modern agriculture and food industry;Food Industry 4.0;2024

5. Prospects of UAVs in Agricultural Mapping;Communications in Computer and Information Science;2023-10-24