Combining satellite multispectral image data and a digital elevation model for mapping debris-covered glaciers

Automated glacier mapping from satellite multispectral image data is hampered by debris cover on glacier surfaces. Supraglacial debris exhibits the same spectral properties as lateral and terminal moraines, fluvioglacial deposits, and bedrock outside the glacier margin, and is thus not detectable by means of multispectral classification alone. Based on the observation of low slope angles for debris-covered glacier tongues, we developed a multisource method for mapping supraglacial debris. The method combines the advantages of automated multispectral classification for clean glacier ice and vegetation with slope information derived from a digital elevation model (DEM). Neighbourhood analysis and change detection is applied for further improvement of the resulting glacier/debris map. A significant percentage of the processing can be done automatically. In order to test the sensitivity of our method against different DEM qualities, it was also applied to a DEM obtained from ASTER stereo data. Additionally, we compared our multisource approach to an artificial neural network (ANN) classification of debris, using only multispectral data. While the combination with an ASTER-derived DEM revealed promising results, the ANN classification without DEM data does not.

[1]  Andreas Kääb,et al.  The new remote-sensing-derived Swiss glacier inventory: I. Methods , 2002, Annals of Glaciology.

[2]  I-Kuai Hung,et al.  Multi-Source Image Classification , 2005 .

[3]  Roger G. Barry,et al.  Glacier monitoring within the Global Climate Observing System* , 2000, Annals of Glaciology.

[4]  Michael P. Bishop,et al.  Terrain analysis and data modeling for alpine glacier mapping , 2001 .

[5]  Dorothy K. Hall,et al.  Glacier recession in Iceland and Austria , 1992 .

[6]  A. Kääb.  Monitoring high-mountain terrain deformation from repeated air- and spaceborne optical data: examples using digital aerial imagery and ASTER data , 2002 .

[7]  Dorothy K. Hall,et al.  Observations on glaciers in the eastern Austrian Alps using satellite data , 1994 .

[8]  Jeffrey S. Kargel,et al.  Remote-sensing science and technology for studying glacier processes in high Asia , 2000, Annals of Glaciology.

[9]  Duwayne M. Anderson,et al.  ADVANCED CONCEPTS AND TECHNIQUES IN THE STUDY OF SNOW AND ICE RESOURCES. , 1800 .

[10]  Robert E. Crippen,et al.  The dangers of underestimating the importance of data adjustments in band ratioing , 1988 .

[11]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .

[12]  M. Bishop,et al.  SPOT multispectral analysis for producing supraglacial debris‐load estimates for Batura glacier, Pakistan , 1995 .

[13]  Daniel L. Civco,et al.  Artificial Neural Networks for Land-Cover Classification and Mapping , 1993, Int. J. Geogr. Inf. Sci..

[14]  Alvin Simms,et al.  Recession of the southern part of Barnes Ice Cap, Baffin Island, Canada, between 1961 and 1993, determined from digital mapping of Landsat TM , 1997 .

[15]  R. Colwell.  Remote sensing of the environment , 1980, Nature.

[16]  Betty L. Hickman,et al.  SPOT Panchromatic Imagery and Neural Networks for Information Extraction in a Complex Mountain Environment , 1999 .

[17]  Wouter H. Knap,et al.  Comparison of Landsat TM-derived and ground-based albedos of Haut Glacier d'Arolla, Switzerland , 1999 .

[18]  D. Peddle,et al.  Multi-Source Image Classification II: An Empirical Comparison of Evidential Reasoning and Neural Network Approaches , 1994 .

[19]  J. Houghton,et al.  Climate change 2001 : the scientific basis , 2001 .

[20]  Horst Bischof,et al.  Multispectral classification of Landsat-images using neural networks , 1992, IEEE Trans. Geosci. Remote. Sens..

[21]  R. W. Sidjak.  Glacier mapping of the Illecillewaet icefield, British Columbia, Canada, using Landsat TM and digital elevation data , 1999 .

[22]  R. Koelemeijer,et al.  The surface reflectance of the Hintereisferner from Landsat 5 TM imagery , 1993 .

[23]  George F. Hepner,et al.  Artificial neural network classification using a minimal training set - Comparison to conventional supervised classification , 1990 .

[24]  Russell G. Congalton,et al.  A review of assessing the accuracy of classifications of remotely sensed data , 1991 .

[25]  F. Paul,et al.  Changes in glacier area in Tyrol, Austria, between 1969 and 1992 derived from Landsat 5 Thematic Mapper and Austrian Glacier Inventory data , 2002 .

[26]  Roberto Ranzi,et al.  Comparing the opportunities of Landsat-TM and Aster data for monitoring a debris covered glacier in the Italian Alps within the GLIMS project , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[27]  M. Noguer,et al.  Climate change 2001: The scientific basis. Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change , 2002 .

[28]  Some observations of the effect of wind turbulence on the near infrared/red ratio , 1986 .

[29]  P. Gong,et al.  Integrated Analysis of Spatial Data from Multiple Sources: Using Evidential Reasoning and Artificial Neural Network Techniques for Geological Mapping , 1996 .

[30]  Dorothy K. Hall,et al.  Comparison of satellite-derived with ground-based measurements of the fluctuations of the margins of Vatnajökull, Iceland, 1973–92 , 1997, Annals of Glaciology.

[31]  Jeffrey S. Kargel,et al.  New eyes in the sky measure glaciers and ice sheets , 2000 .

[32]  A. Kääb,et al.  Glacier Monitoring From ASTER Imagery: Accuracy and Applications , 2001 .

[33]  M. Hoelzle,et al.  On Rates and Acceleration Trends of Global Glacier Mass Changes , 1999 .

[34]  Yoh-Han Pao,et al.  Adaptive pattern recognition and neural networks , 1989 .

[35]  J. L. Smith,et al.  Advanced concepts and techniques in the study of snow and ice resources. An interdisciplinary symposium held at Monterey, California, December 2--6, 1973 , 1974 .

[36]  Use of remote-sensing techniques , 1998 .

[37]  M. Hoelzle,et al.  Occurrence of rocky and sedimentary glacier beds in the Swiss Alps as estimated from glacier-inventory data , 1999, Annals of Glaciology.

[38]  F. Paul.  Combined technologies allow rapid analysis of glacier changes , 2002 .

[39]  J. Oerlemans.  Quantifying Global Warming from the Retreat of Glaciers , 1994, Science.

[40]  W. Haeberli,et al.  Mapping the distribution of buried glacier ice--an example from Lago delle Locce, Monte Rosa, Italian Alps , 1986 .