@InProceedings{AmaralDalARibe:2017:EsSuPa,
author = "Amaral, Silvana and Dal'Asta, Ana Paula and Ribeiro, Renata
Maciel",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and
{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Potencial de mosaicos mensais DNB-VIIRS para detec{\c{c}}{\~a}o
de atividades humanas e {\'a}reas urbanizadas na Amaz{\^o}nia
Brasileira - um estudo no Sudoeste do Par{\'a}",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "3331--3338",
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 = "This paper explores nighttime Visible Infrared Imaging Radiometer
Suite (VIIRS) Day/Night Band (DNB) monthly composites product,
from NOAA National Geophysical Data Center, to detect evolution of
human activities and urbanized areas in Brazilian Amazon. DNBs
from 2014 (Aug), 2015 (Sep) and 2016 (Aug) were first clipped to
Brazilian limits, in order to encompass the study area: 16
municipalities in the southwestern of Para state. After a
histogram matching between DNBs, the images were segmented to
discriminate nighttime lights from the background. In a GIS,
vectorization over the segmented images generated the polygons of
nighttime lights with topology for each DNB. These polygons were
then considered stable lights if they: a) presented any
intersection with Urban Area class mapped for TerraClass 2014
Project; or b) presented any intersection with one of the others
DNBs nighttime polygons. The results showed an unexpected general
downward trend in area and number of DNB stable nighttime lights
polygons for the Para state. However, it was possible to verify
local differences for the study area: municipalities where the
urbanized area increased, and municipalities that were affected by
construction of Belo Monte Hydroelectric power plant. The best
analysis was performed considering specific nighttime lights
polygons, detecting of small villages, communities and mining, and
the false-positive detections related to savanna and forest in
Novo Progresso region. DNB VIIRS presented a high potential to
monitor human activities and urbanization processes, although it
requires specific and automated methods for image
inter-calibration and stable lights extraction.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59280",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSLSNT",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLSNT",
targetfile = "59280.pdf",
type = "Urbaniza{\c{c}}{\~a}o",
urlaccessdate = "28 abr. 2024"
}