@InProceedings{PereiraSanOomCarPer:2017:AvTéCo,
author = "Pereira, Allan Arantes and Santos, Renata Libonati dos and Oom,
Duarte and Carvalho, Luis Marcelo Tavares de and Pereira,
Jos{\'e} Miguel Cardoso",
title = "Avalia{\c{c}}{\~a}o de t{\'e}cnicas de comp{\'o}sitos
multitemporais em imagens PROBA-V para o mapeamento de {\'a}reas
queimadas",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "6336--6343",
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 = "Moderate resolution optical remote sensing data provides
opportunities to monitor and discriminate burned area in an
accurate way. This study assesses the performance of four
different multitemporal compositing techniques using PROBA-V
satellite imagery aiming burned area mapping algorithms, namely:
first minimum Near Infrared (NIR) reflectance value, second
minimum NIR value, combined NIR and ShortWave Infrared (SWIR)
values, and maximum Normalize Difference Vegetation Index (NDVI)
value. A quantitative assessment of the performance of each
compositing technique was achieved by evaluating the ability to
discriminate burned and unburned pixels, analyzing clouds/shadows
persistence and the frequency of high solar zenith angles view on
each compositing. The results showed that the second minimum NIR
compositing technique is the most suitable for burned areas
mapping, due to its ability to retain burned signals and to
eliminate off nadir pixels and those contaminated with clouds/and
shadows.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59349",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSMCN2",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMCN2",
targetfile = "59349.pdf",
type = "Degrada{\c{c}}{\~a}o de florestas",
urlaccessdate = "27 abr. 2024"
}