Uncertainties Involved in the Use of Thresholds for the Detection of Water Bodies in Multitemporal Analysis from Landsat-8 and Sentinel-2 Images

Although the single threshold is still considered a suitable and easy-to-do technique to extract water features in spatiotemporal analysis, it leads to unavoidable errors. This paper uses an enumerative search to optimize thresholds over satellite-derived modified normalized difference water index (...

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Autores principales: Luis Gustavo de Moura Reis, Wendson de Oliveira Souza, Alfredo Ribeiro Neto, Carlos Ruberto Fragoso, Antonio Miguel Ruiz-Armenteros, Jaime Joaquim da Silva Pereira Cabral, Suzana Maria Gico Lima Montenegro
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Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:9eafa086b2bd4678aa4e056676a7d3cf2021-11-25T18:56:53ZUncertainties Involved in the Use of Thresholds for the Detection of Water Bodies in Multitemporal Analysis from Landsat-8 and Sentinel-2 Images10.3390/s212274941424-8220https://doaj.org/article/9eafa086b2bd4678aa4e056676a7d3cf2021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7494https://doaj.org/toc/1424-8220Although the single threshold is still considered a suitable and easy-to-do technique to extract water features in spatiotemporal analysis, it leads to unavoidable errors. This paper uses an enumerative search to optimize thresholds over satellite-derived modified normalized difference water index (MNDWI). We employed a cross-validation approach and treated accuracy as a random variable in order to: (a) investigate uncertainty related to its application; (b) estimate non-optimistic errors involving single thresholding; (c) investigate the main factors that affect the accuracy’s model, and (d) compare satellite sensors performance. We also used a high-resolution digital elevation model to extract water elevations values, making it possible to remove topographic effects and estimate non-optimistic errors exclusively from orbital imagery. Our findings evidenced that there is a region where thresholds values can vary without causing accuracy loss. Moreover, by constraining thresholds variation between these limits, accuracy is dramatically improved and outperformed the Otsu method. Finally, the number of scenes employed to optimize a single threshold drastically affects the accuracy, being not appropriate using a single scene once it leads to overfitted threshold values. More than three scenes are recommended.Luis Gustavo de Moura ReisWendson de Oliveira SouzaAlfredo Ribeiro NetoCarlos Ruberto FragosoAntonio Miguel Ruiz-ArmenterosJaime Joaquim da Silva Pereira CabralSuzana Maria Gico Lima MontenegroMDPI AGarticleMNDWIreservoirremote sensingwater level trackingPoço da Cruz reservoirwater spectral indexChemical technologyTP1-1185ENSensors, Vol 21, Iss 7494, p 7494 (2021)
institution DOAJ
collection DOAJ
language EN
topic MNDWI
reservoir
remote sensing
water level tracking
Poço da Cruz reservoir
water spectral index
Chemical technology
TP1-1185
spellingShingle MNDWI
reservoir
remote sensing
water level tracking
Poço da Cruz reservoir
water spectral index
Chemical technology
TP1-1185
Luis Gustavo de Moura Reis
Wendson de Oliveira Souza
Alfredo Ribeiro Neto
Carlos Ruberto Fragoso
Antonio Miguel Ruiz-Armenteros
Jaime Joaquim da Silva Pereira Cabral
Suzana Maria Gico Lima Montenegro
Uncertainties Involved in the Use of Thresholds for the Detection of Water Bodies in Multitemporal Analysis from Landsat-8 and Sentinel-2 Images
description Although the single threshold is still considered a suitable and easy-to-do technique to extract water features in spatiotemporal analysis, it leads to unavoidable errors. This paper uses an enumerative search to optimize thresholds over satellite-derived modified normalized difference water index (MNDWI). We employed a cross-validation approach and treated accuracy as a random variable in order to: (a) investigate uncertainty related to its application; (b) estimate non-optimistic errors involving single thresholding; (c) investigate the main factors that affect the accuracy’s model, and (d) compare satellite sensors performance. We also used a high-resolution digital elevation model to extract water elevations values, making it possible to remove topographic effects and estimate non-optimistic errors exclusively from orbital imagery. Our findings evidenced that there is a region where thresholds values can vary without causing accuracy loss. Moreover, by constraining thresholds variation between these limits, accuracy is dramatically improved and outperformed the Otsu method. Finally, the number of scenes employed to optimize a single threshold drastically affects the accuracy, being not appropriate using a single scene once it leads to overfitted threshold values. More than three scenes are recommended.
format article
author Luis Gustavo de Moura Reis
Wendson de Oliveira Souza
Alfredo Ribeiro Neto
Carlos Ruberto Fragoso
Antonio Miguel Ruiz-Armenteros
Jaime Joaquim da Silva Pereira Cabral
Suzana Maria Gico Lima Montenegro
author_facet Luis Gustavo de Moura Reis
Wendson de Oliveira Souza
Alfredo Ribeiro Neto
Carlos Ruberto Fragoso
Antonio Miguel Ruiz-Armenteros
Jaime Joaquim da Silva Pereira Cabral
Suzana Maria Gico Lima Montenegro
author_sort Luis Gustavo de Moura Reis
title Uncertainties Involved in the Use of Thresholds for the Detection of Water Bodies in Multitemporal Analysis from Landsat-8 and Sentinel-2 Images
title_short Uncertainties Involved in the Use of Thresholds for the Detection of Water Bodies in Multitemporal Analysis from Landsat-8 and Sentinel-2 Images
title_full Uncertainties Involved in the Use of Thresholds for the Detection of Water Bodies in Multitemporal Analysis from Landsat-8 and Sentinel-2 Images
title_fullStr Uncertainties Involved in the Use of Thresholds for the Detection of Water Bodies in Multitemporal Analysis from Landsat-8 and Sentinel-2 Images
title_full_unstemmed Uncertainties Involved in the Use of Thresholds for the Detection of Water Bodies in Multitemporal Analysis from Landsat-8 and Sentinel-2 Images
title_sort uncertainties involved in the use of thresholds for the detection of water bodies in multitemporal analysis from landsat-8 and sentinel-2 images
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/9eafa086b2bd4678aa4e056676a7d3cf
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