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Quantifying Airborne Lidar Bathymetry Quality-Control Measures: A Case Study in Frio River, Texas
Airborne Lidar Bathymetry (ALB) is an advanced and effective technology for mapping water bodies and measuring water depth in relatively shallow inland and coastal zones. The concept of using light beams to detect and traverse water bodies has been around since the 1960s; however, its popularity has...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308523/ https://www.ncbi.nlm.nih.gov/pubmed/30486369 http://dx.doi.org/10.3390/s18124153 |
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author | Saylam, Kutalmis Hupp, John R. Andrews, John R. Averett, Aaron R. Knudby, Anders J. |
author_facet | Saylam, Kutalmis Hupp, John R. Andrews, John R. Averett, Aaron R. Knudby, Anders J. |
author_sort | Saylam, Kutalmis |
collection | PubMed |
description | Airborne Lidar Bathymetry (ALB) is an advanced and effective technology for mapping water bodies and measuring water depth in relatively shallow inland and coastal zones. The concept of using light beams to detect and traverse water bodies has been around since the 1960s; however, its popularity has increased significantly in recent years with the advent of relatively affordable hardware, supplemented with potent software applications to process and analyze resulting data. To achieve the most accurate final product, which is usually a digital elevation model (DEM) of the bottom of a water body, various quality-control (QC) measures are applied during and after an airborne mission. River surveys, in particular, present various challenges, and quantifying the quality of the end product requires supplemental surveys and careful analysis of all data sets. In this article, we discuss a recent ALB survey of the Frio River in Texas and summarize the findings of all QC measures conducted. We conclude the article with suggestions for successful ALB deployments at similar survey locations. |
format | Online Article Text |
id | pubmed-6308523 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63085232019-01-04 Quantifying Airborne Lidar Bathymetry Quality-Control Measures: A Case Study in Frio River, Texas Saylam, Kutalmis Hupp, John R. Andrews, John R. Averett, Aaron R. Knudby, Anders J. Sensors (Basel) Article Airborne Lidar Bathymetry (ALB) is an advanced and effective technology for mapping water bodies and measuring water depth in relatively shallow inland and coastal zones. The concept of using light beams to detect and traverse water bodies has been around since the 1960s; however, its popularity has increased significantly in recent years with the advent of relatively affordable hardware, supplemented with potent software applications to process and analyze resulting data. To achieve the most accurate final product, which is usually a digital elevation model (DEM) of the bottom of a water body, various quality-control (QC) measures are applied during and after an airborne mission. River surveys, in particular, present various challenges, and quantifying the quality of the end product requires supplemental surveys and careful analysis of all data sets. In this article, we discuss a recent ALB survey of the Frio River in Texas and summarize the findings of all QC measures conducted. We conclude the article with suggestions for successful ALB deployments at similar survey locations. MDPI 2018-11-27 /pmc/articles/PMC6308523/ /pubmed/30486369 http://dx.doi.org/10.3390/s18124153 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Saylam, Kutalmis Hupp, John R. Andrews, John R. Averett, Aaron R. Knudby, Anders J. Quantifying Airborne Lidar Bathymetry Quality-Control Measures: A Case Study in Frio River, Texas |
title | Quantifying Airborne Lidar Bathymetry Quality-Control Measures: A Case Study in Frio River, Texas |
title_full | Quantifying Airborne Lidar Bathymetry Quality-Control Measures: A Case Study in Frio River, Texas |
title_fullStr | Quantifying Airborne Lidar Bathymetry Quality-Control Measures: A Case Study in Frio River, Texas |
title_full_unstemmed | Quantifying Airborne Lidar Bathymetry Quality-Control Measures: A Case Study in Frio River, Texas |
title_short | Quantifying Airborne Lidar Bathymetry Quality-Control Measures: A Case Study in Frio River, Texas |
title_sort | quantifying airborne lidar bathymetry quality-control measures: a case study in frio river, texas |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308523/ https://www.ncbi.nlm.nih.gov/pubmed/30486369 http://dx.doi.org/10.3390/s18124153 |
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