The remote sensing approach to assess the water demand in landscapes in the Southern of Portugal
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Geama |
Texto Completo: | https://www.journals.ufrpe.br/index.php/geama/article/view/2503 |
Resumo: | Landscape irrigation management is an important factor for water conservation, especially in Mediterranean climate with dry and warm summers where the annual average temperature is 170 C and annual precipitation rarely exceeds 700 mm per year. A proper landscape irrigation management to optimize the water use efficiency is achieved by applying the correct amount of water to maintain visual quality of the plants without excessive losses due to deep percolation or runoff.In the absence of landscape water consumption records, vegetation indexes help to determine landscape water demand. Remote sensing provides a tool to assess the evolution of green quality in the landscape.This study aims to evaluate water demand in the Algarve urban landscape in 2016. High-resolution aerial images and climatic records were used to: i) identify and measure the irrigated landscape area; ii) differentiate hydrozones, which are areas covered by plants with similar water needs that were identified by color or patterning; and iii) compare the measured landscape water demand in those areas with vegetation indexes. Combining all information, a better understanding of trends in water demand for Algarve urban landscape was achieved. This is relevant due to the potential for climate change and projections for increasing drought. |
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The remote sensing approach to assess the water demand in landscapes in the Southern of Portugalvegetation indexesturfgrasshydrozonesevapotranspirationlandscapeLandscape irrigation management is an important factor for water conservation, especially in Mediterranean climate with dry and warm summers where the annual average temperature is 170 C and annual precipitation rarely exceeds 700 mm per year. A proper landscape irrigation management to optimize the water use efficiency is achieved by applying the correct amount of water to maintain visual quality of the plants without excessive losses due to deep percolation or runoff.In the absence of landscape water consumption records, vegetation indexes help to determine landscape water demand. Remote sensing provides a tool to assess the evolution of green quality in the landscape.This study aims to evaluate water demand in the Algarve urban landscape in 2016. High-resolution aerial images and climatic records were used to: i) identify and measure the irrigated landscape area; ii) differentiate hydrozones, which are areas covered by plants with similar water needs that were identified by color or patterning; and iii) compare the measured landscape water demand in those areas with vegetation indexes. Combining all information, a better understanding of trends in water demand for Algarve urban landscape was achieved. This is relevant due to the potential for climate change and projections for increasing drought.Geama Journal - Environmental SciencesRevista Geama2019-09-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.journals.ufrpe.br/index.php/geama/article/view/2503Geama Journal - Environmental Sciences; Vol. 5 No. 2 (2019); 4-9Revista Geama; v. 5 n. 2 (2019); 4-92447-0740reponame:Revista Geamainstname:Universidade Federal Rural de Pernambuco (UFRPE)instacron:UFRPEenghttps://www.journals.ufrpe.br/index.php/geama/article/view/2503/482483133Copyright (c) 2019 Revista Geamainfo:eu-repo/semantics/openAccessFernandez, Helena MariaMartins, Fernando MiguelValín, Maria IsabelPedras, Celestina MariaLança, Rui MiguelLopes, Gonçalo Almeida2019-09-12T10:04:17Zoai:ojs.10.0.7.8:article/2503Revistahttps://www.journals.ufrpe.br/index.php/geamaPUBhttps://www.journals.ufrpe.br/index.php/geama/oaijosemachado@ufrpe.br2447-07402447-0740opendoar:2019-09-12T10:04:17Revista Geama - Universidade Federal Rural de Pernambuco (UFRPE)false |
dc.title.none.fl_str_mv |
The remote sensing approach to assess the water demand in landscapes in the Southern of Portugal |
title |
The remote sensing approach to assess the water demand in landscapes in the Southern of Portugal |
spellingShingle |
The remote sensing approach to assess the water demand in landscapes in the Southern of Portugal Fernandez, Helena Maria vegetation indexes turfgrass hydrozones evapotranspiration landscape |
title_short |
The remote sensing approach to assess the water demand in landscapes in the Southern of Portugal |
title_full |
The remote sensing approach to assess the water demand in landscapes in the Southern of Portugal |
title_fullStr |
The remote sensing approach to assess the water demand in landscapes in the Southern of Portugal |
title_full_unstemmed |
The remote sensing approach to assess the water demand in landscapes in the Southern of Portugal |
title_sort |
The remote sensing approach to assess the water demand in landscapes in the Southern of Portugal |
author |
Fernandez, Helena Maria |
author_facet |
Fernandez, Helena Maria Martins, Fernando Miguel Valín, Maria Isabel Pedras, Celestina Maria Lança, Rui Miguel Lopes, Gonçalo Almeida |
author_role |
author |
author2 |
Martins, Fernando Miguel Valín, Maria Isabel Pedras, Celestina Maria Lança, Rui Miguel Lopes, Gonçalo Almeida |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Fernandez, Helena Maria Martins, Fernando Miguel Valín, Maria Isabel Pedras, Celestina Maria Lança, Rui Miguel Lopes, Gonçalo Almeida |
dc.subject.por.fl_str_mv |
vegetation indexes turfgrass hydrozones evapotranspiration landscape |
topic |
vegetation indexes turfgrass hydrozones evapotranspiration landscape |
description |
Landscape irrigation management is an important factor for water conservation, especially in Mediterranean climate with dry and warm summers where the annual average temperature is 170 C and annual precipitation rarely exceeds 700 mm per year. A proper landscape irrigation management to optimize the water use efficiency is achieved by applying the correct amount of water to maintain visual quality of the plants without excessive losses due to deep percolation or runoff.In the absence of landscape water consumption records, vegetation indexes help to determine landscape water demand. Remote sensing provides a tool to assess the evolution of green quality in the landscape.This study aims to evaluate water demand in the Algarve urban landscape in 2016. High-resolution aerial images and climatic records were used to: i) identify and measure the irrigated landscape area; ii) differentiate hydrozones, which are areas covered by plants with similar water needs that were identified by color or patterning; and iii) compare the measured landscape water demand in those areas with vegetation indexes. Combining all information, a better understanding of trends in water demand for Algarve urban landscape was achieved. This is relevant due to the potential for climate change and projections for increasing drought. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-09-06 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.journals.ufrpe.br/index.php/geama/article/view/2503 |
url |
https://www.journals.ufrpe.br/index.php/geama/article/view/2503 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.journals.ufrpe.br/index.php/geama/article/view/2503/482483133 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2019 Revista Geama info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2019 Revista Geama |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Geama Journal - Environmental Sciences Revista Geama |
publisher.none.fl_str_mv |
Geama Journal - Environmental Sciences Revista Geama |
dc.source.none.fl_str_mv |
Geama Journal - Environmental Sciences; Vol. 5 No. 2 (2019); 4-9 Revista Geama; v. 5 n. 2 (2019); 4-9 2447-0740 reponame:Revista Geama instname:Universidade Federal Rural de Pernambuco (UFRPE) instacron:UFRPE |
instname_str |
Universidade Federal Rural de Pernambuco (UFRPE) |
instacron_str |
UFRPE |
institution |
UFRPE |
reponame_str |
Revista Geama |
collection |
Revista Geama |
repository.name.fl_str_mv |
Revista Geama - Universidade Federal Rural de Pernambuco (UFRPE) |
repository.mail.fl_str_mv |
josemachado@ufrpe.br |
_version_ |
1809218600456683520 |