@InProceedings{AlvesSilSilCalMal:2017:IdPrDe,
author = "Alves, Rayanna Barroso de Oliveira and Silva, Hernande Pereira da
and Silva, Nildson Rodrigues de Fran{\c{c}}a e and Caldas, Karina
Francine Rom{\~a}o and Malafaia, Heder Matheus Pereira",
affiliation = "{} and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Identifica{\c{c}}{\~a}o do processo de
desertifica{\c{c}}{\~a}o no munic{\'{\i}}pio de Floresta,
Pernambuco, Brasil, a partir do processamento de imagens de
sat{\'e}lite e dados pluviom{\'e}tricos",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "7360--7367",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "The current stage of desertification in the Northeast of Brazil
has been worsening and the destruction caused by its progress
extends to several counties of the State of Pernambuco and
intensifies the population vulnerability. In view of the need for
information about the desertification process in the counties of
the state of Pernambuco, the present work aims at image processing
and data acquisition in the Florestas city, in order to better
understand the desertification process that occurs in our region,
monitoring and analysis of cause and effect of this event.
Initially, LANDSAT 5 and 8 satellite images were obtained from
INPE (National Institute for Space Research) and the United States
Geological Survey (USGS) for the generation of natural vegetation
cover data. Rainfall was also obtained from the Pernambuco Water
and Climate Agency (APAC). From the data obtained, graphs and
tables were developed by rainy periods and low precipitation, in
order to justify the processed images. The methodology adopted
allowed to perform a temporal space analysis in the countie of
Floresta, the influence of rainfall for the development of the
local vegetation and identification of areas in the process of
desertification.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59525",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSMFJB",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMFJB",
targetfile = "59525.pdf",
type = "Landsat OLI",
urlaccessdate = "27 abr. 2024"
}