Seasonality of water availability, plant phenology, and plant transpiration in a brazilian Caatinga environment investigated by in situ and remote sensing data

Detalhes bibliográficos
Autor(a) principal: Rennan Andres Paloschi
Data de Publicação: 2020
Tipo de documento: Tese
Idioma: eng
Título da fonte: Biblioteca Digital de Teses e Dissertações do INPE
Texto Completo: http://urlib.net/sid.inpe.br/mtc-m21c/2021/01.13.15.06
Resumo: The vegetation water use was investigated in three experimental areas in Caatinga, the largest seasonally dry forest in South America. In one of the sites, environmental drivers on phenology of woody species and their relationship with transpiration were identified and analyzed. In the other sites, the relationship between Remote Sensing data with the phenological response and the water condition of the soil was evaluated. To monitor the phenological evolution with Remote Sensing, vegetation indices were used: normalized difference vegetation index (NDVI); soil-adjusted vegetation index (SAVI) and; green chromatic coordinate (GCC). The GCC extracted from automated digital camera images in the field was used as a representative of phenology and ground truth. Were obtained NDVI, SAVI and GCC indexes from the Sentinel-2A and 2B satellites data, NDVI MYD13Q1 and MOD13Q1 from the MODIS sensor on the Terra and Aqua platforms and the NDVI calculated from the WFI camera data of the CBERS-4 satellite. Environmental factors included rain, air temperature, soil moisture, liquid radiation and vapor pressure deficit. To monitor the water condition we have installed sensors for humidity and soil matric potential. To monitor vegetation water use sap flow sensors were installed. Our study demonstrated that GCC data close to the surface played an important role in allowing individual species monitoring, while species flow data were better correlated with orbital NDVI, SAVI and GCC than with GCC close to the surface of the species. The plants wood density seemed to affect the transpiration cessation times in the dry season, since species with less wood density reach negligible transpiration values earlier, in the beginning of the dry season, than those with high density. The results show that the availability of water in the soil is the main limiting factor for transpiration for more than 80 % of the year, and that both the phenological response given by the vegetation indices and the use of water given by the sap flow are directly related to water availability when the relative saturation in the soil profile is below 0.25.
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spelling info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisSeasonality of water availability, plant phenology, and plant transpiration in a brazilian Caatinga environment investigated by in situ and remote sensing dataSazonalidade da disponibilidade de água, fenologia vegetal e transpiração vegetal em um ambiente de Caatinga brasileira investigada por dados in situ e sensoriamento remoto2020-12-18Laura De Simone BormaThales Sehn KörtingMagna Soelma Beserra de MouraRodolfo Marcondes Silva SouzaRennan Andres PaloschiInstituto Nacional de Pesquisas Espaciais (INPE)Programa de Pós-Graduação do INPE em Sensoriamento RemotoINPEBRCaatinga phenologyvegetation indexwater availabilityvegetation transpirationfenologia da Caatingaíndice de vegetaçãodisponibilidade hídricatranspiração da vegetaçãoThe vegetation water use was investigated in three experimental areas in Caatinga, the largest seasonally dry forest in South America. In one of the sites, environmental drivers on phenology of woody species and their relationship with transpiration were identified and analyzed. In the other sites, the relationship between Remote Sensing data with the phenological response and the water condition of the soil was evaluated. To monitor the phenological evolution with Remote Sensing, vegetation indices were used: normalized difference vegetation index (NDVI); soil-adjusted vegetation index (SAVI) and; green chromatic coordinate (GCC). The GCC extracted from automated digital camera images in the field was used as a representative of phenology and ground truth. Were obtained NDVI, SAVI and GCC indexes from the Sentinel-2A and 2B satellites data, NDVI MYD13Q1 and MOD13Q1 from the MODIS sensor on the Terra and Aqua platforms and the NDVI calculated from the WFI camera data of the CBERS-4 satellite. Environmental factors included rain, air temperature, soil moisture, liquid radiation and vapor pressure deficit. To monitor the water condition we have installed sensors for humidity and soil matric potential. To monitor vegetation water use sap flow sensors were installed. Our study demonstrated that GCC data close to the surface played an important role in allowing individual species monitoring, while species flow data were better correlated with orbital NDVI, SAVI and GCC than with GCC close to the surface of the species. The plants wood density seemed to affect the transpiration cessation times in the dry season, since species with less wood density reach negligible transpiration values earlier, in the beginning of the dry season, than those with high density. The results show that the availability of water in the soil is the main limiting factor for transpiration for more than 80 % of the year, and that both the phenological response given by the vegetation indices and the use of water given by the sap flow are directly related to water availability when the relative saturation in the soil profile is below 0.25.O uso da água pela vegetação foi investigado em três áreas experimentais da Caatinga, a maior floresta sazonalmente seca da América do Sul. Em um dos sítios, foram identificadas e analizadas as infuências ambientais na fenologia de espécies lenhosas e sua relação com a transpiração. Nos demais sítios foi avaliado a relação de dados de Sensoriamento Remoto com a resposta fenológica e a condição hídrica do solo. Para monitorar a evolução fenológica com Sensoriamento Remoto foram utilizados os seguintes índices de vegetação: índice de vegetação por diferença normalizada (NDVI); índice de vegetação ajustado ao solo (SAVI) e; coordenada cromática verde (GCC). Como representante da fenologia e verdade de campo, foi utilizado o GCC extraído de imagens de câmeras digitais automatizadas em campo. Foram utilizados os índices NDVI, SAVI e GCC obtidos de dados dos satélites Sentinel-2A e 2B, os produtos de NDVI MYD13Q1 e MOD13Q1 do sensor MODIS nas plataformas Terra e Aqua e o NDVI calculado de dados da camera WFI do satélite CBERS-4. Os fatores ambientais incluíram chuva, temperatura do ar, umidade do solo, radiação líquida e déficit de pressão de vapor. Para monitorar o estado da água no solo e o uso da água na vegetação, instalamos sensores de umidade e potencial mátrico do solo e sensores de fluxo de seiva. Nosso estudo demonstrou que os dados de GCC próximos à superfície desempenharam um papel importante em permitir o monitoramento individual das espécies, enquanto os dados de fluxo de seiva das espécies foram melhor correlacionados com NDVI, SAVI e GCC orbitais do que com GCC próximos à superfície das espécies. A densidade da madeira das plantas pareceu afetar os tempos de cessação da transpiração na estação seca, uma vez que as espécies com menor densidade de madeira atingem valores insignificantes de transpiração mais cedo, no início da estação seca, do que aquelas com alta densidade. Os resultados mostram que a disponibilidade de água no solo é o principal fator limitante da transpiração durante mais de 80 % do ano, e que tanto a resposta fenológica dada pelos índices de vegetação quanto o uso da água dado pelo fluxo de seiva, estão diretamente relacionados à disponibilidade de água quando a saturação relativa no perfil do solo fica a abaixo de 0,25.http://urlib.net/sid.inpe.br/mtc-m21c/2021/01.13.15.06info:eu-repo/semantics/openAccessengreponame:Biblioteca Digital de Teses e Dissertações do INPEinstname:Instituto Nacional de Pesquisas Espaciais (INPE)instacron:INPE2021-07-31T06:56:25Zoai:urlib.net:sid.inpe.br/mtc-m21c/2021/01.13.15.06.57-0Biblioteca Digital de Teses e Dissertaçõeshttp://bibdigital.sid.inpe.br/PUBhttp://bibdigital.sid.inpe.br/col/iconet.com.br/banon/2003/11.21.21.08/doc/oai.cgiopendoar:32772021-07-31 06:56:26.298Biblioteca Digital de Teses e Dissertações do INPE - Instituto Nacional de Pesquisas Espaciais (INPE)false
dc.title.en.fl_str_mv Seasonality of water availability, plant phenology, and plant transpiration in a brazilian Caatinga environment investigated by in situ and remote sensing data
dc.title.alternative.pt.fl_str_mv Sazonalidade da disponibilidade de água, fenologia vegetal e transpiração vegetal em um ambiente de Caatinga brasileira investigada por dados in situ e sensoriamento remoto
title Seasonality of water availability, plant phenology, and plant transpiration in a brazilian Caatinga environment investigated by in situ and remote sensing data
spellingShingle Seasonality of water availability, plant phenology, and plant transpiration in a brazilian Caatinga environment investigated by in situ and remote sensing data
Rennan Andres Paloschi
title_short Seasonality of water availability, plant phenology, and plant transpiration in a brazilian Caatinga environment investigated by in situ and remote sensing data
title_full Seasonality of water availability, plant phenology, and plant transpiration in a brazilian Caatinga environment investigated by in situ and remote sensing data
title_fullStr Seasonality of water availability, plant phenology, and plant transpiration in a brazilian Caatinga environment investigated by in situ and remote sensing data
title_full_unstemmed Seasonality of water availability, plant phenology, and plant transpiration in a brazilian Caatinga environment investigated by in situ and remote sensing data
title_sort Seasonality of water availability, plant phenology, and plant transpiration in a brazilian Caatinga environment investigated by in situ and remote sensing data
author Rennan Andres Paloschi
author_facet Rennan Andres Paloschi
author_role author
dc.contributor.advisor1.fl_str_mv Laura De Simone Borma
dc.contributor.advisor2.fl_str_mv Thales Sehn Körting
dc.contributor.referee1.fl_str_mv Magna Soelma Beserra de Moura
dc.contributor.referee2.fl_str_mv Rodolfo Marcondes Silva Souza
dc.contributor.author.fl_str_mv Rennan Andres Paloschi
contributor_str_mv Laura De Simone Borma
Thales Sehn Körting
Magna Soelma Beserra de Moura
Rodolfo Marcondes Silva Souza
dc.description.abstract.por.fl_txt_mv The vegetation water use was investigated in three experimental areas in Caatinga, the largest seasonally dry forest in South America. In one of the sites, environmental drivers on phenology of woody species and their relationship with transpiration were identified and analyzed. In the other sites, the relationship between Remote Sensing data with the phenological response and the water condition of the soil was evaluated. To monitor the phenological evolution with Remote Sensing, vegetation indices were used: normalized difference vegetation index (NDVI); soil-adjusted vegetation index (SAVI) and; green chromatic coordinate (GCC). The GCC extracted from automated digital camera images in the field was used as a representative of phenology and ground truth. Were obtained NDVI, SAVI and GCC indexes from the Sentinel-2A and 2B satellites data, NDVI MYD13Q1 and MOD13Q1 from the MODIS sensor on the Terra and Aqua platforms and the NDVI calculated from the WFI camera data of the CBERS-4 satellite. Environmental factors included rain, air temperature, soil moisture, liquid radiation and vapor pressure deficit. To monitor the water condition we have installed sensors for humidity and soil matric potential. To monitor vegetation water use sap flow sensors were installed. Our study demonstrated that GCC data close to the surface played an important role in allowing individual species monitoring, while species flow data were better correlated with orbital NDVI, SAVI and GCC than with GCC close to the surface of the species. The plants wood density seemed to affect the transpiration cessation times in the dry season, since species with less wood density reach negligible transpiration values earlier, in the beginning of the dry season, than those with high density. The results show that the availability of water in the soil is the main limiting factor for transpiration for more than 80 % of the year, and that both the phenological response given by the vegetation indices and the use of water given by the sap flow are directly related to water availability when the relative saturation in the soil profile is below 0.25.
O uso da água pela vegetação foi investigado em três áreas experimentais da Caatinga, a maior floresta sazonalmente seca da América do Sul. Em um dos sítios, foram identificadas e analizadas as infuências ambientais na fenologia de espécies lenhosas e sua relação com a transpiração. Nos demais sítios foi avaliado a relação de dados de Sensoriamento Remoto com a resposta fenológica e a condição hídrica do solo. Para monitorar a evolução fenológica com Sensoriamento Remoto foram utilizados os seguintes índices de vegetação: índice de vegetação por diferença normalizada (NDVI); índice de vegetação ajustado ao solo (SAVI) e; coordenada cromática verde (GCC). Como representante da fenologia e verdade de campo, foi utilizado o GCC extraído de imagens de câmeras digitais automatizadas em campo. Foram utilizados os índices NDVI, SAVI e GCC obtidos de dados dos satélites Sentinel-2A e 2B, os produtos de NDVI MYD13Q1 e MOD13Q1 do sensor MODIS nas plataformas Terra e Aqua e o NDVI calculado de dados da camera WFI do satélite CBERS-4. Os fatores ambientais incluíram chuva, temperatura do ar, umidade do solo, radiação líquida e déficit de pressão de vapor. Para monitorar o estado da água no solo e o uso da água na vegetação, instalamos sensores de umidade e potencial mátrico do solo e sensores de fluxo de seiva. Nosso estudo demonstrou que os dados de GCC próximos à superfície desempenharam um papel importante em permitir o monitoramento individual das espécies, enquanto os dados de fluxo de seiva das espécies foram melhor correlacionados com NDVI, SAVI e GCC orbitais do que com GCC próximos à superfície das espécies. A densidade da madeira das plantas pareceu afetar os tempos de cessação da transpiração na estação seca, uma vez que as espécies com menor densidade de madeira atingem valores insignificantes de transpiração mais cedo, no início da estação seca, do que aquelas com alta densidade. Os resultados mostram que a disponibilidade de água no solo é o principal fator limitante da transpiração durante mais de 80 % do ano, e que tanto a resposta fenológica dada pelos índices de vegetação quanto o uso da água dado pelo fluxo de seiva, estão diretamente relacionados à disponibilidade de água quando a saturação relativa no perfil do solo fica a abaixo de 0,25.
description The vegetation water use was investigated in three experimental areas in Caatinga, the largest seasonally dry forest in South America. In one of the sites, environmental drivers on phenology of woody species and their relationship with transpiration were identified and analyzed. In the other sites, the relationship between Remote Sensing data with the phenological response and the water condition of the soil was evaluated. To monitor the phenological evolution with Remote Sensing, vegetation indices were used: normalized difference vegetation index (NDVI); soil-adjusted vegetation index (SAVI) and; green chromatic coordinate (GCC). The GCC extracted from automated digital camera images in the field was used as a representative of phenology and ground truth. Were obtained NDVI, SAVI and GCC indexes from the Sentinel-2A and 2B satellites data, NDVI MYD13Q1 and MOD13Q1 from the MODIS sensor on the Terra and Aqua platforms and the NDVI calculated from the WFI camera data of the CBERS-4 satellite. Environmental factors included rain, air temperature, soil moisture, liquid radiation and vapor pressure deficit. To monitor the water condition we have installed sensors for humidity and soil matric potential. To monitor vegetation water use sap flow sensors were installed. Our study demonstrated that GCC data close to the surface played an important role in allowing individual species monitoring, while species flow data were better correlated with orbital NDVI, SAVI and GCC than with GCC close to the surface of the species. The plants wood density seemed to affect the transpiration cessation times in the dry season, since species with less wood density reach negligible transpiration values earlier, in the beginning of the dry season, than those with high density. The results show that the availability of water in the soil is the main limiting factor for transpiration for more than 80 % of the year, and that both the phenological response given by the vegetation indices and the use of water given by the sap flow are directly related to water availability when the relative saturation in the soil profile is below 0.25.
publishDate 2020
dc.date.issued.fl_str_mv 2020-12-18
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
status_str publishedVersion
format doctoralThesis
dc.identifier.uri.fl_str_mv http://urlib.net/sid.inpe.br/mtc-m21c/2021/01.13.15.06
url http://urlib.net/sid.inpe.br/mtc-m21c/2021/01.13.15.06
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Instituto Nacional de Pesquisas Espaciais (INPE)
dc.publisher.program.fl_str_mv Programa de Pós-Graduação do INPE em Sensoriamento Remoto
dc.publisher.initials.fl_str_mv INPE
dc.publisher.country.fl_str_mv BR
publisher.none.fl_str_mv Instituto Nacional de Pesquisas Espaciais (INPE)
dc.source.none.fl_str_mv reponame:Biblioteca Digital de Teses e Dissertações do INPE
instname:Instituto Nacional de Pesquisas Espaciais (INPE)
instacron:INPE
reponame_str Biblioteca Digital de Teses e Dissertações do INPE
collection Biblioteca Digital de Teses e Dissertações do INPE
instname_str Instituto Nacional de Pesquisas Espaciais (INPE)
instacron_str INPE
institution INPE
repository.name.fl_str_mv Biblioteca Digital de Teses e Dissertações do INPE - Instituto Nacional de Pesquisas Espaciais (INPE)
repository.mail.fl_str_mv
publisher_program_txtF_mv Programa de Pós-Graduação do INPE em Sensoriamento Remoto
contributor_advisor1_txtF_mv Laura De Simone Borma
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