@InProceedings{SartoriImaMurNovSil:2010:InFuPo,
author = "Sartori, Lauriana R{\'u}bio and Imai, Nilton Nobuhiro and Mura,
Jos{\'e} Claudio and Novo, Evlyn M{\'a}rcia Le{\~a}o de Moraes
and Silva, Thiago Sanna Freire",
affiliation = "Sao Paulo State University - UNESP, Graduate Program in
Cartographic Sciences, Brazi and Sao Paulo State University -
UNESP, Graduate Program in Cartographic Sciences, Brazil and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and University of
Victoria, Department of Geography, Australia",
title = "Investigations on the full polarimetric PALSAR data to
discriminate macrophytes species in the Amazon floodplain
wetland",
booktitle = "Proceedings...",
year = "2010",
organization = "International Geoscience and Remote Sensing Symposium, (IGARSS).",
publisher = "IEEE",
address = "Piscataway",
keywords = "Amazon wetland, Macrophytes, PALSAR data, Radar polarimetry,
Target decomposition, Ellipsometry, Geology, Polarographic
analysis, Radar, Remote sensing, Wetlands, Polarimeters.",
abstract = "The purpose of this work is to evaluate the capacity of full
polarimetric L band data to discriminate macrophyte species in
Amazon wetland. Fieldwork was carried out almost simultaneously to
the acquisition of the full polarimetric PALSAR data. Coherent and
incoherent attributes were extracted from the image, and
macrophyte morphological variables were measured on the ground.
The image attributes and the macrophyte variables were compared in
order to evaluate their application for discriminating macrophytes
species. The findings suggest that polarimetric information could
be adopted to discriminate plant species based on morphology, and
that estimation of plant biomass and productivity could be
improved by using the polarimetric information.",
conference-location = "Honolulu",
conference-year = "25 - 30 July 2010",
doi = "10.1109/IGARSS.2010.5652492",
url = "http://dx.doi.org/10.1109/IGARSS.2010.5652492",
isbn = "9781424495665",
language = "en",
organisation = "The Institute of Electrical and Electronics Engineers; Geoscience
and Remote Sensing Society",
targetfile = "mura.pdf",
urlaccessdate = "20 abr. 2024"
}