@InProceedings{AbreuAmarCruz:2015:CaEsFl,
author = "Abreu, Marcelo Bueno de and Amaral, Felipe Gon{\c{c}}alves and
Cruz, Carla Bernadete Madureira",
title = "Caracteriza{\c{c}}{\~a}o espectral da floresta e {\'a}reas
alagadas em imagens Worldview-2",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "2238--2245",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "High resolution images have been evolving a lot in the past few
years, with a steady increase in the available image collection.
This has been enabling dynamics studies in larger scales, which
requires a set of tools to standardize images from different dates
and extract the maximum amount of information available.
Atmospheric correction and image fusion are common tools used for
these purposes. This work''s goal is to make a spectral
characterization of forest and wetland areas on Worldview-2 images
from the Silva Jardim County in Rio de Janeiro State. Reflection
values from images before and after atmospheric correction and
images fused with the panchromatic band were compared against each
other. Two other Vegetation Indexes were created and, together
with NDVI, used for the spectral characterization. The results
showed that atmospheric correction met the expectation related to
the vegetation target, adjusting the reflectance values of blue
band relative to the green band. For the classes differentiation
both infrared bands and red edge bands showed good results. The
fused images indicated subtle variations to the values. When
comparing fused and non fused images, the forest areas values were
slightly bigger for the fused ones, whereas on wetlands the values
for fused images were slightly smaller. The NDVI showed the best
results among the indexes to distinguish the forest class, with
values between 0,75 and 0,8.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "459",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM49Q5",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM49Q5",
targetfile = "p0459.pdf",
type = "Processamento de imagens",
urlaccessdate = "12 maio 2024"
}