%0 Journal Article
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}
%@nexthigherunit 8JMKD3MGPCW/3ER446E
%X The Brazilian Pantanal is a large continuous tropical wetland with large biodiversity and many threatened habitats. The interplay between the distribution of vegetation, the hydrology, the climate and the geomorphology nourishes and sustains the large diversity of flora and fauna in this wetland, but it is poorly understood at the scale of the entire Pantanal. This study uses multi-temporal L-band ALOS/PALSAR and C-band RADARSAT-2 data to map ecosystems and create spatial-temporal maps of flood dynamics in the Brazilian Pantanal. First, an understanding of the backscattering characteristics of floodable and non-floodable habitats was developed. Second, a Level 1 object-based image analysis (OBIA) classification defining Forest, Savanna, Grasslands/Agriculture, Aquatic Vegetation and Open Water cover types was achieved with accuracy results of 81%. A Level 2 classification separating Flooded from Non-Flooded regions for five temporal periods over one year was also accomplished, showing the interannual variability among sub-regions in the Pantanal. Cross-sensor, multi-temporal SAR data was found to be useful in mapping both land cover and flood patterns in wetland areas. The generated maps will be a valuable asset for defining habitats required to conserve the Pantanal biodiversity and to mitigate the impacts of human development in the region.
%@mirrorrepository sid.inpe.br/mtc-m19@80/2009/08.21.17.02.53
%8 Dec.
%N 4
%T Using ALOS/PALSAR and RADARSAT-2 to Map Land Cover and Seasonal Inundation in the Brazilian Pantanal
%@secondarytype PRE PI
%K ALOS/PALSAR, flooding dynamics, habitat mapping, K&C initiative, Pantanal, RADARSAT-2, SYNTHETIC-APERTURE RADAR, AMAZON FLOODPLAIN, NHECOLANDIA SUBREGION, VEGETATION, WETLAND, IMAGERY, CLASSIFICATION, CONSERVATION, BIODIVERSITY, LAKES.
%@archivingpolicy denypublisher allowfinaldraft
%@usergroup administrator
%@usergroup marciana
%@group
%@group
%@group
%@group DSR-OBT-INPE-MCT-BR
%3 05623305.pdf
%@secondarykey INPE--PRE/
%@issn 1939-1404
%2 sid.inpe.br/mtc-m19/2011/02.02.15.29.54
%@affiliation Univ Victoria, Dept Geog, Victoria, BC V8P 5C2 Canada
%@affiliation Univ Victoria, Dept Geog, Victoria, BC V8P 5C2 Canada
%@affiliation Univ Victoria, Sch Earth & Ocean Sci, Victoria, BC V8P 5C2 Canada
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%B IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
%@versiontype publisher
%P 560-575
%4 sid.inpe.br/mtc-m19/2011/02.02.15.29
%@documentstage not transferred
%D 2010
%V 3
%@doi 10.1109/JSTARS.2010.2089042
%A Evans, Teresa L.,
%A Costa, Maycira,
%A Telmer, Kevin,
%A Silva, Thiago S. F.,
%@dissemination WEBSCI; PORTALCAPES; IEEEXplore.
%@area SRE