Application of satellite imagery to update depth-area-volume relationships in reservoirs in the semiarid region of Northeast Brazil
ABSTRACT Reservoirs are the primary source of water supply in the semiarid region of Pernambuco state, Brazil, because of the constant water scarcity affecting this region. Knowledge of the amount of water available is essential for the effective management of water resources. The volume of water st...
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Universidade Federal de Campina Grande
2021-11-01
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| Series: | Revista Brasileira de Engenharia Agrícola e Ambiental |
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| author | Marina de P. Moura Alfredo Ribeiro Neto Fábio A. da Costa |
| author_facet | Marina de P. Moura Alfredo Ribeiro Neto Fábio A. da Costa |
| author_sort | Marina de P. Moura |
| collection | DOAJ |
| description | ABSTRACT Reservoirs are the primary source of water supply in the semiarid region of Pernambuco state, Brazil, because of the constant water scarcity affecting this region. Knowledge of the amount of water available is essential for the effective management of water resources. The volume of water stored in the reservoirs is calculated using the depth-area-volume relationship. However, in most reservoirs in the semiarid region, this relationship is currently out of date. Therefore, the objective of this study was to explore the potential and limitations of the application of the ISODATA unsupervised classification method to calculate the depth-area-volume relationships of reservoirs in the semiarid region of Pernambuco, Brazil. The application of the ISODATA method was evaluated in three reservoirs in the state of Pernambuco, i.e., Poço da Cruz, Barra do Juá, and Jucazinho. The results were compared with the updated curves of reservoirs obtained from bathymetry and recent LiDAR surveys. The ISODATA method presented satisfactory results for the three reservoirs analyzed. The mean absolute error of the volume in Poço da Cruz and Barra do Juá was lower than 1% of the maximum capacity. The use of the ISODATA method meant that the surface area underestimation tendency in the Poço da Cruz reservoir was less than when spectral indices were used. |
| format | Article |
| id | doaj-art-239d27dce68b49f5ae1cbe0e1237dc4a |
| institution | DOAJ |
| issn | 1807-1929 |
| language | English |
| publishDate | 2021-11-01 |
| publisher | Universidade Federal de Campina Grande |
| record_format | Article |
| series | Revista Brasileira de Engenharia Agrícola e Ambiental |
| spelling | doaj-art-239d27dce68b49f5ae1cbe0e1237dc4a2025-08-20T03:17:51ZengUniversidade Federal de Campina GrandeRevista Brasileira de Engenharia Agrícola e Ambiental1807-19292021-11-01261445010.1590/1807-1929/agriambi.v26n1p44-50Application of satellite imagery to update depth-area-volume relationships in reservoirs in the semiarid region of Northeast BrazilMarina de P. Mourahttps://orcid.org/0000-0003-4433-9770Alfredo Ribeiro Netohttps://orcid.org/0000-0002-9411-0651Fábio A. da Costahttps://orcid.org/0000-0002-8819-2355ABSTRACT Reservoirs are the primary source of water supply in the semiarid region of Pernambuco state, Brazil, because of the constant water scarcity affecting this region. Knowledge of the amount of water available is essential for the effective management of water resources. The volume of water stored in the reservoirs is calculated using the depth-area-volume relationship. However, in most reservoirs in the semiarid region, this relationship is currently out of date. Therefore, the objective of this study was to explore the potential and limitations of the application of the ISODATA unsupervised classification method to calculate the depth-area-volume relationships of reservoirs in the semiarid region of Pernambuco, Brazil. The application of the ISODATA method was evaluated in three reservoirs in the state of Pernambuco, i.e., Poço da Cruz, Barra do Juá, and Jucazinho. The results were compared with the updated curves of reservoirs obtained from bathymetry and recent LiDAR surveys. The ISODATA method presented satisfactory results for the three reservoirs analyzed. The mean absolute error of the volume in Poço da Cruz and Barra do Juá was lower than 1% of the maximum capacity. The use of the ISODATA method meant that the surface area underestimation tendency in the Poço da Cruz reservoir was less than when spectral indices were used.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662022000100044&tlng=enISODATAremote sensingwater resources managementwater supply |
| spellingShingle | Marina de P. Moura Alfredo Ribeiro Neto Fábio A. da Costa Application of satellite imagery to update depth-area-volume relationships in reservoirs in the semiarid region of Northeast Brazil Revista Brasileira de Engenharia Agrícola e Ambiental ISODATA remote sensing water resources management water supply |
| title | Application of satellite imagery to update depth-area-volume relationships in reservoirs in the semiarid region of Northeast Brazil |
| title_full | Application of satellite imagery to update depth-area-volume relationships in reservoirs in the semiarid region of Northeast Brazil |
| title_fullStr | Application of satellite imagery to update depth-area-volume relationships in reservoirs in the semiarid region of Northeast Brazil |
| title_full_unstemmed | Application of satellite imagery to update depth-area-volume relationships in reservoirs in the semiarid region of Northeast Brazil |
| title_short | Application of satellite imagery to update depth-area-volume relationships in reservoirs in the semiarid region of Northeast Brazil |
| title_sort | application of satellite imagery to update depth area volume relationships in reservoirs in the semiarid region of northeast brazil |
| topic | ISODATA remote sensing water resources management water supply |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662022000100044&tlng=en |
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