Estimation of Water Coverage in Permanent and Temporary Shallow Lakes and Wetlands by Combining Remote Sensing Techniques and Genetic Programming: Application to the Mediterranean Basin of the Iberian Peninsula
This work aims to validate the wide use of an algorithm developed using genetic programing (GP) techniques allowing to discern between water and non-water pixels using the near infrared band and different thresholds. A total of 34 wetlands and shallow lakes of 18 ecological types were used for valid...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-02-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/4/652 |
| _version_ | 1797396890144210944 |
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| author | Carolina Doña Daniel Morant Antonio Picazo Carlos Rochera Juan Manuel Sánchez Antonio Camacho |
| author_facet | Carolina Doña Daniel Morant Antonio Picazo Carlos Rochera Juan Manuel Sánchez Antonio Camacho |
| author_sort | Carolina Doña |
| collection | DOAJ |
| description | This work aims to validate the wide use of an algorithm developed using genetic programing (GP) techniques allowing to discern between water and non-water pixels using the near infrared band and different thresholds. A total of 34 wetlands and shallow lakes of 18 ecological types were used for validation. These include marshes, salt ponds, and saline and freshwater, temporary and permanent shallow lakes. Furthermore, based on the spectral matching between Landsat and Sentinel-2 sensors, this methodology was applied to Sentinel-2 imagery, improving the spatial and temporal resolution. When compared to other techniques, GP showed better accuracy (over 85% in most cases) and acceptable kappa values in the estimation of water pixels (κ ≥ 0.7) in 10 of the 18 assayed ecological types evaluated with Landsat-7 and Sentinel-2 imagery. The improvements were especially achieved for temporary lakes and wetlands, where existing algorithms were scarcely reliable. This shows that GP algorithms applied to remote sensing satellite imagery can be a valuable tool to monitor water coverage in wetlands and shallow lakes where multiple factors cause a low resolution by commonly used water indices. This allows the reconstruction of hydrological series showing their hydrological behaviors during the last three decades, being useful to predict how their hydrological pattern may behave under future global change scenarios. |
| first_indexed | 2024-03-09T00:58:01Z |
| format | Article |
| id | doaj.art-c61817b457d44f5abe0c8650dfd0c623 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T00:58:01Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-c61817b457d44f5abe0c8650dfd0c6232023-12-11T16:46:45ZengMDPI AGRemote Sensing2072-42922021-02-0113465210.3390/rs13040652Estimation of Water Coverage in Permanent and Temporary Shallow Lakes and Wetlands by Combining Remote Sensing Techniques and Genetic Programming: Application to the Mediterranean Basin of the Iberian PeninsulaCarolina Doña0Daniel Morant1Antonio Picazo2Carlos Rochera3Juan Manuel Sánchez4Antonio Camacho5Cavanilles Institute of Biodiversity and Evolutionary Biology, University of Valencia, E-46980 Paterna, 46010 Valencia, SpainCavanilles Institute of Biodiversity and Evolutionary Biology, University of Valencia, E-46980 Paterna, 46010 Valencia, SpainCavanilles Institute of Biodiversity and Evolutionary Biology, University of Valencia, E-46980 Paterna, 46010 Valencia, SpainCavanilles Institute of Biodiversity and Evolutionary Biology, University of Valencia, E-46980 Paterna, 46010 Valencia, SpainDepartment of Applied Physics, Regional Development Institute, University of Castilla-La Mancha, Campus Universitario S/N, 02017 Albacete, SpainCavanilles Institute of Biodiversity and Evolutionary Biology, University of Valencia, E-46980 Paterna, 46010 Valencia, SpainThis work aims to validate the wide use of an algorithm developed using genetic programing (GP) techniques allowing to discern between water and non-water pixels using the near infrared band and different thresholds. A total of 34 wetlands and shallow lakes of 18 ecological types were used for validation. These include marshes, salt ponds, and saline and freshwater, temporary and permanent shallow lakes. Furthermore, based on the spectral matching between Landsat and Sentinel-2 sensors, this methodology was applied to Sentinel-2 imagery, improving the spatial and temporal resolution. When compared to other techniques, GP showed better accuracy (over 85% in most cases) and acceptable kappa values in the estimation of water pixels (κ ≥ 0.7) in 10 of the 18 assayed ecological types evaluated with Landsat-7 and Sentinel-2 imagery. The improvements were especially achieved for temporary lakes and wetlands, where existing algorithms were scarcely reliable. This shows that GP algorithms applied to remote sensing satellite imagery can be a valuable tool to monitor water coverage in wetlands and shallow lakes where multiple factors cause a low resolution by commonly used water indices. This allows the reconstruction of hydrological series showing their hydrological behaviors during the last three decades, being useful to predict how their hydrological pattern may behave under future global change scenarios.https://www.mdpi.com/2072-4292/13/4/652wetlands and shallow lakestemporary and permanent lakesMediterraneanremote sensingLandsat-7Sentinel-2 |
| spellingShingle | Carolina Doña Daniel Morant Antonio Picazo Carlos Rochera Juan Manuel Sánchez Antonio Camacho Estimation of Water Coverage in Permanent and Temporary Shallow Lakes and Wetlands by Combining Remote Sensing Techniques and Genetic Programming: Application to the Mediterranean Basin of the Iberian Peninsula Remote Sensing wetlands and shallow lakes temporary and permanent lakes Mediterranean remote sensing Landsat-7 Sentinel-2 |
| title | Estimation of Water Coverage in Permanent and Temporary Shallow Lakes and Wetlands by Combining Remote Sensing Techniques and Genetic Programming: Application to the Mediterranean Basin of the Iberian Peninsula |
| title_full | Estimation of Water Coverage in Permanent and Temporary Shallow Lakes and Wetlands by Combining Remote Sensing Techniques and Genetic Programming: Application to the Mediterranean Basin of the Iberian Peninsula |
| title_fullStr | Estimation of Water Coverage in Permanent and Temporary Shallow Lakes and Wetlands by Combining Remote Sensing Techniques and Genetic Programming: Application to the Mediterranean Basin of the Iberian Peninsula |
| title_full_unstemmed | Estimation of Water Coverage in Permanent and Temporary Shallow Lakes and Wetlands by Combining Remote Sensing Techniques and Genetic Programming: Application to the Mediterranean Basin of the Iberian Peninsula |
| title_short | Estimation of Water Coverage in Permanent and Temporary Shallow Lakes and Wetlands by Combining Remote Sensing Techniques and Genetic Programming: Application to the Mediterranean Basin of the Iberian Peninsula |
| title_sort | estimation of water coverage in permanent and temporary shallow lakes and wetlands by combining remote sensing techniques and genetic programming application to the mediterranean basin of the iberian peninsula |
| topic | wetlands and shallow lakes temporary and permanent lakes Mediterranean remote sensing Landsat-7 Sentinel-2 |
| url | https://www.mdpi.com/2072-4292/13/4/652 |
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