Modelos de índice de umidade do solo obtido por sensoriamento remoto no sertão pernambucano
Autor(a) principal: | |
---|---|
Data de Publicação: | 2016 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Biblioteca Digital de Teses e Dissertações da UFRPE |
Texto Completo: | http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/7718 |
Resumo: | In semi-arid regions, growth and productivity of agricultural crops are directly linked to the amount of water available from rainfall and / or irrigation. The accurate assessment of soil moisture is difficult to be performed by means of field measurements because the typical field methods are complex and expensive. This work aimed to develop models of multiple regressions of the soil surface moisture content using images from the MODIS sensor and meteorological data (rainfall (mm), mean air temperature (C °), maximum temperature and minimum air (° C ), sunshine (hours) Evaporation (mm), relative humidity (%) wind speed (km / h) Ouricuri and Arcoverde belonging to the middle region of Pernambuco Hinterland for the years 2006 and 2012. it also held -if the zoning of the aridity index to identify the cities where there are clusters of aridity and correlate the soil moisture content with weather and biophysical variables. the inverse interpolation technique of the square of the distance was applied to spatialise the aridity index using data of precipitation and air temperature from 1911 to 1990 measured at 82 weather stations. a total of 44 vegetation index images and 88 temperature of the obtained surface of MODIS / Terra were used to obtain the moisture content from soil. The normalized difference vegetation index images were classified to quantify and assess the areas of land use and land cover. The results showed that the high vegetation protection class disappeared from 2006 to 2012, followed by an increase in areas of low vegetation cover. They observed also trends of aridity core training in the cities of Arcoverde, Sertânia, Iguaraci, Afogados da Ingazeira, Ingazeira, Carnaíba and Tabira, as presented aridity index at the boundary of semi-arid regions. It was concluded that the soil moisture content was related linearly very well with NDVI and Ts obtained from MODIS products for the city of Arcoverde - PE. The relationship between soil moisture content by evaporation and wind speed was moderate, but reversed. The models of multiple regressions can be used to estimate the moisture content of the soil surface from meteorological data from the municipalities of Ouricuri - PE and Arcoverde - PE for the years 2006 and 2012. |
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LOPES, Pabrício Marcos OliveiraMOURA, Magna Soelma Beserra deLOPES, Pabrício Marcos OliveiraNASCIMENTO, Cristina RodriguesSILVA, Vicente de Paulohttp://lattes.cnpq.br/5485790621981377LEITE, Cássia Roberta de Melo2018-11-23T11:40:59Z2016-08-31LEITE, Cássia Roberta de Melo. Modelos de índice de umidade do solo obtido por sensoriamento remoto no sertão pernambucano. 2016. 64 f. Dissertação (Programa de Pós-Graduação em Engenharia Ambiental) - Universidade Federal Rural de Pernambuco, Recife.http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/7718In semi-arid regions, growth and productivity of agricultural crops are directly linked to the amount of water available from rainfall and / or irrigation. The accurate assessment of soil moisture is difficult to be performed by means of field measurements because the typical field methods are complex and expensive. This work aimed to develop models of multiple regressions of the soil surface moisture content using images from the MODIS sensor and meteorological data (rainfall (mm), mean air temperature (C °), maximum temperature and minimum air (° C ), sunshine (hours) Evaporation (mm), relative humidity (%) wind speed (km / h) Ouricuri and Arcoverde belonging to the middle region of Pernambuco Hinterland for the years 2006 and 2012. it also held -if the zoning of the aridity index to identify the cities where there are clusters of aridity and correlate the soil moisture content with weather and biophysical variables. the inverse interpolation technique of the square of the distance was applied to spatialise the aridity index using data of precipitation and air temperature from 1911 to 1990 measured at 82 weather stations. a total of 44 vegetation index images and 88 temperature of the obtained surface of MODIS / Terra were used to obtain the moisture content from soil. The normalized difference vegetation index images were classified to quantify and assess the areas of land use and land cover. The results showed that the high vegetation protection class disappeared from 2006 to 2012, followed by an increase in areas of low vegetation cover. They observed also trends of aridity core training in the cities of Arcoverde, Sertânia, Iguaraci, Afogados da Ingazeira, Ingazeira, Carnaíba and Tabira, as presented aridity index at the boundary of semi-arid regions. It was concluded that the soil moisture content was related linearly very well with NDVI and Ts obtained from MODIS products for the city of Arcoverde - PE. The relationship between soil moisture content by evaporation and wind speed was moderate, but reversed. The models of multiple regressions can be used to estimate the moisture content of the soil surface from meteorological data from the municipalities of Ouricuri - PE and Arcoverde - PE for the years 2006 and 2012.Em regiões semiáridas, o crescimento e a produtividade das culturas agrícolas estão diretamente ligados à quantidade de água disponível no solo a partir de precipitação e/ou irrigação. A avaliação precisa da umidade do solo é difícil de ser executada por meio de medidas de campo porque os métodos típicos de campo são complexos e caros. Este trabalho teve como objetivo principal elaborar modelos de regressões múltiplas do índice de umidade da superfície do solo utilizando imagens do sensor MODIS e dados meteorológicos (Precipitação (mm); Temperatura média do ar (Cº); Temperaturas máxima e mínima do ar (°C); Insolação (horas); Evaporação (mm); Umidade relativa do ar (%); Velocidade do vento (km/h) de Ouricuri e Arcoverde pertencentes à mesorregião do Sertão pernambucano para os anos de 2006 e 2012. Além disso, realizou-se o zoneamento do índice de aridez para identificar os municípios onde estão presentes núcleos de aridez e correlacionar o índice de umidade do solo com variaveis meteorológicas e biofisicas. A técnica de interpolação por inverso do quadrado da distância foi aplicada para espacializar o índice de aridez utilizando-se dados de precipitação e de temperatura do ar de 1911 a 1990 medidos em 82 postos meteorológicos. Um total de 44 imagens de indice de vegetação e 88 de temperatura da superficie obtidos do sensor MODIS/Terra foram utilizados para obter o indice de umidade do solo. As imagens de índice de vegetação por diferença normalizada foram classificadas para quantificar e avaliar as áreas de uso e cobertura do solo. Os resultados mostraram que a classe de proteção da cobertura vegetal alta desapareceu de 2006 a 2012, seguida de um aumento das áreas de baixa cobertura vegetal. Observaram-se, ainda, tendências de formações de núcleos de aridez nos municípios de Arcoverde, Sertânia, Iguaraci, Afogados da Ingazeira, Ingazeira, Carnaíba e Tabira, pois apresentaram índice de aridez no limite de regiões semiáridas. Concluiu-se que o índice de umidade do solo relacionou-se linearmente muito bem com o NDVI e a Ts obtidas dos produtos do sensor MODIS para o município de Arcoverde - PE. A relação entre o índice de umidade do solo com evaporação e velocidade do vento foi moderadamente, porém inversa. Os modelos de regressões múltiplas podem ser utilizados para estimar do índice de umidade da superfície do solo a partir de dados meteorológicos dos municípios de Ouricuri - PE e Arcoverde - PE para os anos de 2006 e 2012.Submitted by Mario BC (mario@bc.ufrpe.br) on 2018-11-23T11:40:59Z No. of bitstreams: 1 Cassia Roberta de Melo Leite.pdf: 1421571 bytes, checksum: 413b7b107c70dc72991667d139a1eb93 (MD5)Made available in DSpace on 2018-11-23T11:40:59Z (GMT). No. of bitstreams: 1 Cassia Roberta de Melo Leite.pdf: 1421571 bytes, checksum: 413b7b107c70dc72991667d139a1eb93 (MD5) Previous issue date: 2016-08-31application/pdfporUniversidade Federal Rural de PernambucoPrograma de Pós-Graduação em Engenharia AmbientalUFRPEBrasilDepartamento de Tecnologia RuralUmidade do soloSensoriamento remotoImagem orbitalENGENHARIA AGRICOLA::ENGENHARIA DE AGUA E SOLOModelos de índice de umidade do solo obtido por sensoriamento remoto no sertão pernambucanoinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis348359349560412580160060060076777727858717775528091417577959244317info:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UFRPEinstname:Universidade Federal Rural de Pernambuco (UFRPE)instacron:UFRPEORIGINALCassia Roberta de Melo Leite.pdfCassia Roberta de Melo Leite.pdfapplication/pdf1421571http://www.tede2.ufrpe.br:8080/tede2/bitstream/tede2/7718/2/Cassia+Roberta+de+Melo+Leite.pdf413b7b107c70dc72991667d139a1eb93MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82165http://www.tede2.ufrpe.br:8080/tede2/bitstream/tede2/7718/1/license.txtbd3efa91386c1718a7f26a329fdcb468MD51tede2/77182018-11-23 08:40:59.833oai:tede2: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Biblioteca Digital de Teses e Dissertaçõeshttp://www.tede2.ufrpe.br:8080/tede/PUBhttp://www.tede2.ufrpe.br:8080/oai/requestbdtd@ufrpe.br ||bdtd@ufrpe.bropendoar:2024-05-28T12:36:02.348595Biblioteca Digital de Teses e Dissertações da UFRPE - Universidade Federal Rural de Pernambuco (UFRPE)false |
dc.title.por.fl_str_mv |
Modelos de índice de umidade do solo obtido por sensoriamento remoto no sertão pernambucano |
title |
Modelos de índice de umidade do solo obtido por sensoriamento remoto no sertão pernambucano |
spellingShingle |
Modelos de índice de umidade do solo obtido por sensoriamento remoto no sertão pernambucano LEITE, Cássia Roberta de Melo Umidade do solo Sensoriamento remoto Imagem orbital ENGENHARIA AGRICOLA::ENGENHARIA DE AGUA E SOLO |
title_short |
Modelos de índice de umidade do solo obtido por sensoriamento remoto no sertão pernambucano |
title_full |
Modelos de índice de umidade do solo obtido por sensoriamento remoto no sertão pernambucano |
title_fullStr |
Modelos de índice de umidade do solo obtido por sensoriamento remoto no sertão pernambucano |
title_full_unstemmed |
Modelos de índice de umidade do solo obtido por sensoriamento remoto no sertão pernambucano |
title_sort |
Modelos de índice de umidade do solo obtido por sensoriamento remoto no sertão pernambucano |
author |
LEITE, Cássia Roberta de Melo |
author_facet |
LEITE, Cássia Roberta de Melo |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
LOPES, Pabrício Marcos Oliveira |
dc.contributor.advisor-co1.fl_str_mv |
MOURA, Magna Soelma Beserra de |
dc.contributor.referee1.fl_str_mv |
LOPES, Pabrício Marcos Oliveira |
dc.contributor.referee2.fl_str_mv |
NASCIMENTO, Cristina Rodrigues |
dc.contributor.referee3.fl_str_mv |
SILVA, Vicente de Paulo |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/5485790621981377 |
dc.contributor.author.fl_str_mv |
LEITE, Cássia Roberta de Melo |
contributor_str_mv |
LOPES, Pabrício Marcos Oliveira MOURA, Magna Soelma Beserra de LOPES, Pabrício Marcos Oliveira NASCIMENTO, Cristina Rodrigues SILVA, Vicente de Paulo |
dc.subject.por.fl_str_mv |
Umidade do solo Sensoriamento remoto Imagem orbital |
topic |
Umidade do solo Sensoriamento remoto Imagem orbital ENGENHARIA AGRICOLA::ENGENHARIA DE AGUA E SOLO |
dc.subject.cnpq.fl_str_mv |
ENGENHARIA AGRICOLA::ENGENHARIA DE AGUA E SOLO |
description |
In semi-arid regions, growth and productivity of agricultural crops are directly linked to the amount of water available from rainfall and / or irrigation. The accurate assessment of soil moisture is difficult to be performed by means of field measurements because the typical field methods are complex and expensive. This work aimed to develop models of multiple regressions of the soil surface moisture content using images from the MODIS sensor and meteorological data (rainfall (mm), mean air temperature (C °), maximum temperature and minimum air (° C ), sunshine (hours) Evaporation (mm), relative humidity (%) wind speed (km / h) Ouricuri and Arcoverde belonging to the middle region of Pernambuco Hinterland for the years 2006 and 2012. it also held -if the zoning of the aridity index to identify the cities where there are clusters of aridity and correlate the soil moisture content with weather and biophysical variables. the inverse interpolation technique of the square of the distance was applied to spatialise the aridity index using data of precipitation and air temperature from 1911 to 1990 measured at 82 weather stations. a total of 44 vegetation index images and 88 temperature of the obtained surface of MODIS / Terra were used to obtain the moisture content from soil. The normalized difference vegetation index images were classified to quantify and assess the areas of land use and land cover. The results showed that the high vegetation protection class disappeared from 2006 to 2012, followed by an increase in areas of low vegetation cover. They observed also trends of aridity core training in the cities of Arcoverde, Sertânia, Iguaraci, Afogados da Ingazeira, Ingazeira, Carnaíba and Tabira, as presented aridity index at the boundary of semi-arid regions. It was concluded that the soil moisture content was related linearly very well with NDVI and Ts obtained from MODIS products for the city of Arcoverde - PE. The relationship between soil moisture content by evaporation and wind speed was moderate, but reversed. The models of multiple regressions can be used to estimate the moisture content of the soil surface from meteorological data from the municipalities of Ouricuri - PE and Arcoverde - PE for the years 2006 and 2012. |
publishDate |
2016 |
dc.date.issued.fl_str_mv |
2016-08-31 |
dc.date.accessioned.fl_str_mv |
2018-11-23T11:40:59Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
LEITE, Cássia Roberta de Melo. Modelos de índice de umidade do solo obtido por sensoriamento remoto no sertão pernambucano. 2016. 64 f. Dissertação (Programa de Pós-Graduação em Engenharia Ambiental) - Universidade Federal Rural de Pernambuco, Recife. |
dc.identifier.uri.fl_str_mv |
http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/7718 |
identifier_str_mv |
LEITE, Cássia Roberta de Melo. Modelos de índice de umidade do solo obtido por sensoriamento remoto no sertão pernambucano. 2016. 64 f. Dissertação (Programa de Pós-Graduação em Engenharia Ambiental) - Universidade Federal Rural de Pernambuco, Recife. |
url |
http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/7718 |
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por |
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por |
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3483593495604125801 |
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600 600 600 |
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8091417577959244317 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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Universidade Federal Rural de Pernambuco |
dc.publisher.program.fl_str_mv |
Programa de Pós-Graduação em Engenharia Ambiental |
dc.publisher.initials.fl_str_mv |
UFRPE |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
Departamento de Tecnologia Rural |
publisher.none.fl_str_mv |
Universidade Federal Rural de Pernambuco |
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