| dc.identifier.citation | 1] Elachi, C. 1988, “Spaceborne Radar Remote Sensing: Application and Techniques”, IEEE Geoscience and Remote Sensing Society, 345 East 47 th Street , New York [2] Hoekman, D. 2011. “Introduction to Remote Sensing Physic and Radar”, Environmental Science- Wegeningen University [3] Lee, Jong-sen and Eric Potter, 2009, “Polarimetric Radar Imaging from Basic to Application”, CRC Press Taylor & Francis Group, Boca Raton, Florida [4] Sanden, J.J. van der. 1997. “Radar Remote Sensing to Support Tropical Forest Management”, Tropenbos- Guyana [5] Verhoeven, R. 2011. “Gamma Image Processing Chain”, SARVision, Bahan Workshop SARVision, Universitas Wegeningen - LAPAN [6] Werner, C. 2012. “PALSAR Processing” http://www.opengis.co.jp/htm/gamma/ [7] http://www.eorc.jaxa.jp/ALOS/en/kc_mosaic/kc_mosaic.htm , [Juli 2012] [8] http://www.members.chello.nl/~r.sugardiman/html/GEO _example_geocoding.html. [Juli 2012] | en_US |
| dc.description.abstract | The determination of forest area in Aceh had
been carried out with PALSAR data. Phase Array type L-band
Synthetic Aperture Radar (PALSAR) data were different with
optical data either in data acquisition or difficulties in data
processing. A single un-polarized radar data were difficult to
recognize objects of targets. While multi-polarized radar easier
to recognize objects. The horizontal polarized radar wave H
transmitted to object and the return wave were received with
horizontal polarized receiver produced HH polarized radar
data, while the return wave received with vertical polarized
receiver produced HV polarized radar data. In the other hand
vertical polarized radar wave V transmitted to objects received
with horizontal receiver produced VH polarized radar data, and
produced VV polarized radar data if the return radar wave
received with vertical polarized receiver. PALSAR acquired data
in some mode, among others dual-polarization mode that
produced both HH and HV polarized radar image data. These
data then be processed became ortho rectified HH and HV
polarized radar image data. The only two images could be
combined in a color composite image, HH in blue channel , HV
in green channel , and HH again in red channel, objects included
in the images could be seen in colors. Wide area objects such as
forest, resident area, agriculture namely land covers could be
clustered (classified) in one color respectively. The certain land
cover classification could be performed by the classic supervised
classification – maximumlikelihood. The result was a colorfull
classified image that represented some object areas over Aceh. | en_US |
