@PhDThesis{Paloschi:2021:SeWaAv,
author = "Paloschi, Rennan Andres",
title = "Seasonality of water availability, plant phenology, and plant
transpiration in a brazilian Caatinga environment investigated by
in situ and remote sensing data",
school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
year = "2021",
address = "S{\~a}o Jos{\'e} dos Campos",
month = "2020-12-18",
keywords = "Caatinga phenology, vegetation index, water availability,
vegetation transpiration, fenologia da Caatinga, {\'{\i}}ndice
de vegeta{\c{c}}{\~a}o, disponibilidade h{\'{\i}}drica,
transpira{\c{c}}{\~a}o da vegeta{\c{c}}{\~a}o.",
abstract = "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. RESUMO: O uso da
{\'a}gua pela vegeta{\c{c}}{\~a}o foi investigado em tr{\^e}s
{\'a}reas experimentais da Caatinga, a maior floresta
sazonalmente seca da Am{\'e}rica do Sul. Em um dos
s{\'{\i}}tios, foram identificadas e analizadas as
infu{\^e}ncias ambientais na fenologia de esp{\'e}cies lenhosas
e sua rela{\c{c}}{\~a}o com a transpira{\c{c}}{\~a}o. Nos
demais s{\'{\i}}tios foi avaliado a rela{\c{c}}{\~a}o de dados
de Sensoriamento Remoto com a resposta fenol{\'o}gica e a
condi{\c{c}}{\~a}o h{\'{\i}}drica do solo. Para monitorar a
evolu{\c{c}}{\~a}o fenol{\'o}gica com Sensoriamento Remoto
foram utilizados os seguintes {\'{\i}}ndices de
vegeta{\c{c}}{\~a}o: {\'{\i}}ndice de vegeta{\c{c}}{\~a}o
por diferen{\c{c}}a normalizada (NDVI); {\'{\i}}ndice de
vegeta{\c{c}}{\~a}o ajustado ao solo (SAVI) e; coordenada
crom{\'a}tica verde (GCC). Como representante da fenologia e
verdade de campo, foi utilizado o GCC extra{\'{\i}}do de imagens
de c{\^a}meras digitais automatizadas em campo. Foram utilizados
os {\'{\i}}ndices NDVI, SAVI e GCC obtidos de dados dos
sat{\'e}lites 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 sat{\'e}lite CBERS-4. Os
fatores ambientais inclu{\'{\i}}ram chuva, temperatura do ar,
umidade do solo, radia{\c{c}}{\~a}o l{\'{\i}}quida e
d{\'e}ficit de press{\~a}o de vapor. Para monitorar o estado da
{\'a}gua no solo e o uso da {\'a}gua na vegeta{\c{c}}{\~a}o,
instalamos sensores de umidade e potencial m{\'a}trico do solo e
sensores de fluxo de seiva. Nosso estudo demonstrou que os dados
de GCC pr{\'o}ximos {\`a} superf{\'{\i}}cie desempenharam um
papel importante em permitir o monitoramento individual das
esp{\'e}cies, enquanto os dados de fluxo de seiva das
esp{\'e}cies foram melhor correlacionados com NDVI, SAVI e GCC
orbitais do que com GCC pr{\'o}ximos {\`a} superf{\'{\i}}cie
das esp{\'e}cies. A densidade da madeira das plantas pareceu
afetar os tempos de cessa{\c{c}}{\~a}o da
transpira{\c{c}}{\~a}o na esta{\c{c}}{\~a}o seca, uma vez que
as esp{\'e}cies com menor densidade de madeira atingem valores
insignificantes de transpira{\c{c}}{\~a}o mais cedo, no
in{\'{\i}}cio da esta{\c{c}}{\~a}o seca, do que aquelas com
alta densidade. Os resultados mostram que a disponibilidade de
{\'a}gua no solo {\'e} o principal fator limitante da
transpira{\c{c}}{\~a}o durante mais de 80 % do ano, e que tanto
a resposta fenol{\'o}gica dada pelos {\'{\i}}ndices de
vegeta{\c{c}}{\~a}o quanto o uso da {\'a}gua dado pelo fluxo de
seiva, est{\~a}o diretamente relacionados {\`a} disponibilidade
de {\'a}gua quando a satura{\c{c}}{\~a}o relativa no perfil do
solo fica a abaixo de 0,25.",
committee = "Sanches, Ieda DelŽArco (presidente) and Borma, Laura De Simone
(orientadora) and K{\"o}rting, Thales Sehn (orientador) and
Moura, Magna Soelma Beserra de and Souza, Rodolfo Marcondes
Silva",
englishtitle = "Sazonalidade da disponibilidade de {\'a}gua, fenologia vegetal e
transpira{\c{c}}{\~a}o vegetal em um ambiente de Caatinga
brasileira investigada por dados in situ e sensoriamento remoto",
language = "en",
pages = "97",
ibi = "8JMKD3MGP3W34R/43UHK8B",
url = "http://urlib.net/ibi/8JMKD3MGP3W34R/43UHK8B",
targetfile = "publicacao.pdf",
urlaccessdate = "23 maio 2024"
}