@InProceedings{BezerraNageTeixCoel:2019:AsWaSt,
author = "Bezerra, Diego Xavier and Nagel, Gustavo Willy and Teixeira,
Ra{\'{\i}}ssa Caroline dos Santos and Coelho, Stella Correia
Cesar",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)}",
title = "An assessment of water stress conditions in Cear{\'a} state based
on TVDI using MODIS data",
booktitle = "Anais... do 20º Simp{\'o}sio Brasileiro de Geoinform{\'a}tica",
year = "2019",
editor = "Lisboa Filho, Jugurta and Monteiro, Antonio Miguel Vieira",
organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 20. (GEOINFO)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "geoinformatica.",
abstract = "Droughts are complex phenomena that directly impact on water
supply, frequently occurring in the northeast region of Brazil.
Temperature- Vegetation Dryness Index (TVDI) is an approach for a
remotely-sensed based drought monitoring, based on surface
temperature and NDVI. In order to assess the potential of TVDI in
Cear{\'a}, this study evaluates the correlation between TVDI and
accumulated rainfall in May/2019 and September/2018. The linear
regression analysis indicated a strong relationship for the 90
days accumulated rainfall drier period. This assessment can be
applied in future works involving time series analysis, detection
of trends and investigation of relationships between TVDI and in
situ soil moisture data in this region.",
conference-location = "S{\~a}o Jos{\'e} dos Campos",
conference-year = "11 -13 nov. 2019",
issn = "2179-4847",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGPDW34R/3UFEBTS",
url = "http://urlib.net/ibi/8JMKD3MGPDW34R/3UFEBTS",
targetfile = "224-229.pdf",
urlaccessdate = "03 jun. 2024"
}