DocumentCode :
299087
Title :
First evaluations of Shuttle SIR-C and X-SAR data for landcover classifications
Author :
Stolz, Roswitha ; Mauser, Wolfram
Author_Institution :
Inst. of Geogr., Munchen Univ., Germany
Volume :
2
fYear :
34881
fDate :
10-14 Jul1995
Firstpage :
1058
Abstract :
For the first time radar data in three frequencies (X-,C-,L-band) and in multipolarisation (HH, HV, VV, total power) are recorded simultaneously in orbit during the Shuttle Mission STS-59 in April 1994. The aim of this work is to improve land use classifications with X-SAR/SIR-C radar data. The data used are multitemporal X-SAR data (X-band) and SIR-C (C- and L-band) data of April 11, 1994. As a first step, the data were coregistered. From this data set three different band combinations were selected: multitemporal X-Band data, multipolarised C-and L-band of April 11 and a data set of the first two principal components of each frequency. All three sets were classified using a maximum likelihood classifier. Finally, a fieldwise post-classification algorithm was applied based on the majority rule and the results were compared with a digital ground truth map in a two-dimensional accuracy matrix. For a complete and exact assessment of the landuse classification capabilities the acquisition date was unfavourable due to the limited number of agricultural crops at that time. Only winter-cereals and rape seed had already emerged. However, vegetation cover on these fields ranged from approximately only 20% up to 80%
Keywords :
geophysical techniques; radar applications; radar polarimetry; remote sensing by radar; spaceborne radar; synthetic aperture radar; C-band; L-band; SIR; SIR-C; UHF SHF; X-SAR; X-band; agriculture crops; geophysical measurement technique; land surface; land use; landcover image classification; landuse; maximum likelihood classifier; multipolarisation; post-classification; radar polarimetry; radar remote sensing; spaceborne radar; terrain mapping; vegetation mapping; winter-cereals; Azimuth; Crops; Frequency; Geography; Geology; L-band; Polarization; Radar; Soil; Testing; Vegetation mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location :
Firenze
Print_ISBN :
0-7803-2567-2
Type :
conf
DOI :
10.1109/IGARSS.1995.521137
Filename :
521137
Link To Document :
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