Full-Text Search:
Home|About CNKI|User Service|中文
Add to Favorite Get Latest Update

Geotechnical classification based on CBERS-04 remote sensing image in Langma Village Area

LI Yakun;GUAN Hongjun;SUN Chuanliang;College of Field Engineering,PLA Univ.of Sci.& Tech.;College of Resources and Environmental Sciences,Nanjing Agricultural University;  
To explore the geotechnical identification performance of remote sensing image of domestic land exploration satellite,geotechnical classification was studied by using multi-sensor remote sensing images in Langma Village Area of Tibetan Plateau,based on analysis of optical properties for CBERS-04 remote sensing image.The geotechnical classification results were compared by the different image data and the synergistic image data from CBERS-04 and Landsat-8operational land image(OLI),and the results were verified and analyzed according to the 1∶250 000 basic geotechnical map and the field geotechnical survey in the study area.It is confirmed that the geotechnical classification accuracy of CBERS-04 is slightly lower than that of Landsat-8OLI,but that CBERS-04 still has a high classification accuracy.CBERS-04 can basically meet the needs of geotechnical classification of medium scale geotechnical survey with artifical geological interpretation.The spectral and spatial resolutions are similar and complementary to CBERS-04 and Landsat-8OLI,and the synergistic geotechnical classification can improve the accuracy.
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©CNKI All Rights Reserved