Title :
The use of ALOS PALSAR imagery for Cerrado´s land use and land cover mapping
Author :
Sano, Edson E Sano ; Santos, Elaine M. ; Meneses, Paulo R.
Author_Institution :
Embrapa Cerrados, Planaltina, Brazil
Abstract :
In Brazil, land use and land cover (LULC) mappings are obtained mainly from optical images. Radar data are also promising since they are independent of solar illumination and the microwave radiation can penetrate clouds and depict differences in canopy structures. This study analyzed the potential of ALOS PALSAR data for LULC mapping of Federal District of Brazil (FD). L-band, HH-, HV- and VV-polarized amplitude images from the end of wet season were processed through the image segmentation technique by growing region. The segments were exported into a geographical information system software package as shapefile format and then visually interpreted in the computer screen. The following classes were discriminated: consolidate urban areas; urban areas in consolidation; natural grasslands; Cerrado shrubland; croplands; gallery forest; indiscriminated forests: pasturelands; reforestations; and water reservoirs. Cerrado shrubland was the most representative mapping class of the study area, followed by consolidated urban areas and natural grasslands.
Keywords :
clouds; geographic information systems; geophysical image processing; geophysics computing; image segmentation; remote sensing; reservoirs; terrain mapping; vegetation mapping; ALOS PALSAR data; ALOS PALSAR imagery; Cerrado shrubland; Federal District of Brazil; HH-polarized amplitude images; HV-polarized amplitude images; VV-polarized amplitude images; canopy structures; clouds; consolidate urban areas; croplands; gallery forest; geographical information system software package; image segmentation technique; indiscriminated forests; land use-land cover mappings; microwave radiation; natural grasslands; optical images; pasturelands; reforestations; remote sensing; shapefile format; solar illumination; tropical savanna; water reservoirs; wet season; Decision support systems; Radar; remote sensing; tropical savanna;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2010.5653308