Spatio-temporal monitoring of permafrost region using SAR remote sensing

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 38, Issue , 2010, Pages 142-145

  Park, Sang Eun ^a   Yamaguchi, Yoshio ^a   Singh, Gulab ^a   Bartsch, Annett ^b  

^a NIIGATA UNIVERSITY   (Japan)

^b VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

ASAR Global Monitoring; Freeze thaw; Permafrost; Synthetic aperture radar

Indexed keywords

MONITORING; PERMAFROST; SYNTHETIC APERTURE RADAR; TIME SERIES;

FREEZE/THAW; FREEZE/THAW CYCLES; GLOBAL MONITORING; LEAST-SQUARE FITTING; PERMAFROST REGION; SAR REMOTE SENSING; TEMPORAL SAMPLING; THRESHOLD APPROACH;

REMOTE SENSING;

EID: 84894169690     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Boehnke, K. and V. Wisemann, 1996. Thawing of soils in Siberia observed by the ERS-1 scatterometer between 1992 and 1995, in Proc. IGARSS'96, Lincoln, NE, pp. 2264-2266.
2. Wisemann, V., 2000. Monitoring of seasonal thawing in Siberia with ERS scatterometer data, IEEE Trans. Geosci. Remote Sens., vol. 38, no. 4, pp. 1804-1809.
3. Frolking, S., K. C. McDonald, J. S. Kimball, J. B. Way, R. Zimmermann, and S. W. Running, 1999. Using the space-borne NASA scatterometer (NSCAT) to determine the frozen and thawed seasons of a boreal landscape, J. Geophys. Res., vol. 104(D22), pp. 27895-27908.
4. Kimball, J. S., K. C. McDonald, A. R. Keyser, S. Frolking, and S. W. Running, 2001. Application of the NASA scatterometer (NSCAT) for determining the daily frozen and nonfrozen landscape of Alaska, Remote Sens. Environ., vol. 75, no. 1, pp. 113-126.
5. Bartsch, A., R. Kidd, W. Wagner, and Z. Bartalis, 2007. Temporal and spatial variability of the beginning and end of daily spring freeze/thaw cycles derived from scatterometer data, Remote Sens. Environ., vol. 106, no. 3, pp. 360-374.
6. Pathe, C., W. Wagner, D. Sabel, M. Doubkova, and J. Basara, 2009. Using ENVISAT ASAR Global Mode Data for Surface Soil Moisture Retrieval Over Oklahoma, USA, IEEE Trans. Geosci. Remote Sens., vol. 47, no. 2, pp. 468-480..