@InProceedings{NagelTeixCoel:2019:AsBaSe,
author = "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)}",
title = "Sand mining lakes along the Para{\'{\i}}ba do Sul river: an
assessment based on Sentinel 2B/MSI sensor",
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 = "Sand mining activity is present along the Para{\'{\i}}ba do Sul
River, promoting changes in the landscape with the formation of
lakes, that have different colors and spectral responses depending
on their current status of activity. This study aims to identify
and quantify the distribution of these lakes, using Linear
Spectral Unmixing Model (LSUM) in a Sentinel 2B/ MSI image. From
the water-sediment fraction originated, the lakes were segmented
and classified. The cities of Trememb{\'e}, Pindamonhangaba and
Taubat{\'e} were the areas with more active mining lakes, while
in the Roseira region, the non-active mining lakes were
predominant. Approximately 63% of lakes of the Vale do
Para{\'{\i}}ba Region were defined as active sand mining
lakes.",
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/3UFEAES",
url = "http://urlib.net/ibi/8JMKD3MGPDW34R/3UFEAES",
targetfile = "182-187.pdf",
urlaccessdate = "26 abr. 2024"
}