Erosion Quantification in Runoff Agriculture Plots by Multitemporal High-Resolution UAS Digital Photogrammetry
In this work, we apply close-range photogrammetry with unmanned aircraft systems to quantify erosion with millimetric spatial resolution in agricultural plots. We evaluate the proposed methodology against the traditional runoff method on active plots. A database of digital elevation models was const...
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9210171/ |
| _version_ | 1819137209916194816 |
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| author | Sergio Arriola-Valverde Luis Carlos Villalobos-Avellan Karolina Villagra-Mendoza Renato Rimolo-Donadio |
| author_facet | Sergio Arriola-Valverde Luis Carlos Villalobos-Avellan Karolina Villagra-Mendoza Renato Rimolo-Donadio |
| author_sort | Sergio Arriola-Valverde |
| collection | DOAJ |
| description | In this work, we apply close-range photogrammetry with unmanned aircraft systems to quantify erosion with millimetric spatial resolution in agricultural plots. We evaluate the proposed methodology against the traditional runoff method on active plots. A database of digital elevation models was constructed with a ground sampling distance of 7 mm/pixel and maximum root-mean-square total error of 4.8 mm, which allowed the follow-up of soil erosion dynamics within the runoff plots for a period of three months. Good agreement of the photogrammetric estimations with respect to field measurements was observed, whereas it provides a more detailed spatial information that can be used for precise soil loss dynamic studies. |
| first_indexed | 2024-12-22T10:47:15Z |
| format | Article |
| id | doaj.art-76f354393fc349c79619194b5c40eea2 |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-12-22T10:47:15Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj.art-76f354393fc349c79619194b5c40eea22022-12-21T18:28:53ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352020-01-01136326633610.1109/JSTARS.2020.30278809210171Erosion Quantification in Runoff Agriculture Plots by Multitemporal High-Resolution UAS Digital PhotogrammetrySergio Arriola-Valverde0https://orcid.org/0000-0003-1155-3076Luis Carlos Villalobos-Avellan1https://orcid.org/0000-0003-0548-8271Karolina Villagra-Mendoza2https://orcid.org/0000-0002-2335-0615Renato Rimolo-Donadio3https://orcid.org/0000-0002-3087-9162UAS Remote Sensing and Photogrammetry Laboratory, Electronics Engineering Department, Instituto Tecnológico de Costa Rica, Cartago, Costa RicaAgricultural Engineering Department, Instituto Tecnológico de Costa Rica, Cartago, Costa RicaAgricultural Engineering Department, Instituto Tecnológico de Costa Rica, Cartago, Costa RicaUAS Remote Sensing and Photogrammetry Laboratory, Electronics Engineering Department, Instituto Tecnológico de Costa Rica, Cartago, Costa RicaIn this work, we apply close-range photogrammetry with unmanned aircraft systems to quantify erosion with millimetric spatial resolution in agricultural plots. We evaluate the proposed methodology against the traditional runoff method on active plots. A database of digital elevation models was constructed with a ground sampling distance of 7 mm/pixel and maximum root-mean-square total error of 4.8 mm, which allowed the follow-up of soil erosion dynamics within the runoff plots for a period of three months. Good agreement of the photogrammetric estimations with respect to field measurements was observed, whereas it provides a more detailed spatial information that can be used for precise soil loss dynamic studies.https://ieeexplore.ieee.org/document/9210171/DEMs of difference (DoD)digital elevation model (DEM)photogrammetryrunoff plotssoil erosionunmanned aerial systems (UAS) |
| spellingShingle | Sergio Arriola-Valverde Luis Carlos Villalobos-Avellan Karolina Villagra-Mendoza Renato Rimolo-Donadio Erosion Quantification in Runoff Agriculture Plots by Multitemporal High-Resolution UAS Digital Photogrammetry IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing DEMs of difference (DoD) digital elevation model (DEM) photogrammetry runoff plots soil erosion unmanned aerial systems (UAS) |
| title | Erosion Quantification in Runoff Agriculture Plots by Multitemporal High-Resolution UAS Digital Photogrammetry |
| title_full | Erosion Quantification in Runoff Agriculture Plots by Multitemporal High-Resolution UAS Digital Photogrammetry |
| title_fullStr | Erosion Quantification in Runoff Agriculture Plots by Multitemporal High-Resolution UAS Digital Photogrammetry |
| title_full_unstemmed | Erosion Quantification in Runoff Agriculture Plots by Multitemporal High-Resolution UAS Digital Photogrammetry |
| title_short | Erosion Quantification in Runoff Agriculture Plots by Multitemporal High-Resolution UAS Digital Photogrammetry |
| title_sort | erosion quantification in runoff agriculture plots by multitemporal high resolution uas digital photogrammetry |
| topic | DEMs of difference (DoD) digital elevation model (DEM) photogrammetry runoff plots soil erosion unmanned aerial systems (UAS) |
| url | https://ieeexplore.ieee.org/document/9210171/ |
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