Watershed Monitoring in Galicia from UAV Multispectral Imagery Using Advanced Texture Methods
Watershed management is the study of the relevant characteristics of a watershed aimed at the use and sustainable management of forests, land, and water. Watersheds can be threatened by deforestation, uncontrolled logging, changes in farming systems, overgrazing, road and track construction, polluti...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/13/14/2687 |
| _version_ | 1797526092379062272 |
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| author | Francisco Argüello Dora B. Heras Alberto S. Garea Pablo Quesada-Barriuso |
| author_facet | Francisco Argüello Dora B. Heras Alberto S. Garea Pablo Quesada-Barriuso |
| author_sort | Francisco Argüello |
| collection | DOAJ |
| description | Watershed management is the study of the relevant characteristics of a watershed aimed at the use and sustainable management of forests, land, and water. Watersheds can be threatened by deforestation, uncontrolled logging, changes in farming systems, overgrazing, road and track construction, pollution, and invasion of exotic plants. This article describes a procedure to automatically monitor the river basins of Galicia, Spain, using five-band multispectral images taken by an unmanned aerial vehicle and several image processing algorithms. The objective is to determine the state of the vegetation, especially the identification of areas occupied by invasive species, as well as the detection of man-made structures that occupy the river basin using multispectral images. Since the territory to be studied occupies extensive areas and the resulting images are large, techniques and algorithms have been selected for fast execution and efficient use of computational resources. These techniques include superpixel segmentation and the use of advanced texture methods. For each one of the stages of the method (segmentation, texture codebook generation, feature extraction, and classification), different algorithms have been evaluated in terms of speed and accuracy for the identification of vegetation and natural and artificial structures in the Galician riversides. The experimental results show that the proposed approach can achieve this goal with speed and precision. |
| first_indexed | 2024-03-10T09:25:16Z |
| format | Article |
| id | doaj.art-0504cc6ba0f540d3acf54d15491b3d74 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T09:25:16Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-0504cc6ba0f540d3acf54d15491b3d742023-11-22T04:50:55ZengMDPI AGRemote Sensing2072-42922021-07-011314268710.3390/rs13142687Watershed Monitoring in Galicia from UAV Multispectral Imagery Using Advanced Texture MethodsFrancisco Argüello0Dora B. Heras1Alberto S. Garea2Pablo Quesada-Barriuso3Departamento de Electrónica e Computación, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, SpainDepartamento de Electrónica e Computación, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, SpainDepartamento de Electrónica e Computación, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, SpainDepartamento de Electrónica e Computación, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, SpainWatershed management is the study of the relevant characteristics of a watershed aimed at the use and sustainable management of forests, land, and water. Watersheds can be threatened by deforestation, uncontrolled logging, changes in farming systems, overgrazing, road and track construction, pollution, and invasion of exotic plants. This article describes a procedure to automatically monitor the river basins of Galicia, Spain, using five-band multispectral images taken by an unmanned aerial vehicle and several image processing algorithms. The objective is to determine the state of the vegetation, especially the identification of areas occupied by invasive species, as well as the detection of man-made structures that occupy the river basin using multispectral images. Since the territory to be studied occupies extensive areas and the resulting images are large, techniques and algorithms have been selected for fast execution and efficient use of computational resources. These techniques include superpixel segmentation and the use of advanced texture methods. For each one of the stages of the method (segmentation, texture codebook generation, feature extraction, and classification), different algorithms have been evaluated in terms of speed and accuracy for the identification of vegetation and natural and artificial structures in the Galician riversides. The experimental results show that the proposed approach can achieve this goal with speed and precision.https://www.mdpi.com/2072-4292/13/14/2687river basinwatershed managementhabitat assessmentinvasive speciesGaliciatexture analysis |
| spellingShingle | Francisco Argüello Dora B. Heras Alberto S. Garea Pablo Quesada-Barriuso Watershed Monitoring in Galicia from UAV Multispectral Imagery Using Advanced Texture Methods Remote Sensing river basin watershed management habitat assessment invasive species Galicia texture analysis |
| title | Watershed Monitoring in Galicia from UAV Multispectral Imagery Using Advanced Texture Methods |
| title_full | Watershed Monitoring in Galicia from UAV Multispectral Imagery Using Advanced Texture Methods |
| title_fullStr | Watershed Monitoring in Galicia from UAV Multispectral Imagery Using Advanced Texture Methods |
| title_full_unstemmed | Watershed Monitoring in Galicia from UAV Multispectral Imagery Using Advanced Texture Methods |
| title_short | Watershed Monitoring in Galicia from UAV Multispectral Imagery Using Advanced Texture Methods |
| title_sort | watershed monitoring in galicia from uav multispectral imagery using advanced texture methods |
| topic | river basin watershed management habitat assessment invasive species Galicia texture analysis |
| url | https://www.mdpi.com/2072-4292/13/14/2687 |
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