Remote sensing, geographic information systems and snowmelt runoff models - an integrated approach

被引:0
|
作者
Baumgartner, M.F. [1 ]
Apfl, G.M. [1 ]
机构
[1] Department of Geography, University of Berne, Hallerstrasse 12, CH-3012 Berne, Switzerland
来源
| 1997年 / IAHS; Publication, 242, Wallingford, United Kingdom卷
关键词
Computer simulation - Computer software - Data transfer - Database systems - Geographic information systems - Image processing - Mathematical models - Melting - Remote sensing - Runoff - Snow;
D O I
暂无
中图分类号
学科分类号
摘要
Remote sensing (RS) and geographic information systems (GIS) play a fundamental role in hydrological applications. Because of the synergism between the two techniques, a combined use should be envisaged by hydrologists. It is the aim of this paper to show the capabilities of an integration of RS image processing, GIS and database management systems (DBMS) technologies in combination with hydrological models. A basic request for such an integrated system is a completely digital transfer of data between the different software modules. The merit of an integrated approach is demonstrated with the Alpine Snow Cover Analysis System (ASCAS). In addition to the image processing system, the GIS and DBMS, a hydrological model the Snowmelt Runoff Model (SRM) is implemented in ASCAS. Snow cover variations in the Swiss Alps were studied using NOAA-AVHRR data during the hydrological years of 1983/84 and 1992/93. Snow cover ablation patterns, snow-line variations and snow cover depletion were compared for the two years under investigation. Furthermore, the use of these data in snowmelt runoff modelling with SRM is shown.
引用
收藏
相关论文
共 50 条
  • [41] ACTIVE LEARNING METHODOLOGIES IN GEOGRAPHIC INFORMATION SYSTEMS AN IN APPLIED REMOTE SENSING
    Estornell, J.
    Sebastia, M. T.
    Orengo, J.
    Mengual, J.
    Gonzalez, J. A.
    2011 4TH INTERNATIONAL CONFERENCE OF EDUCATION, RESEARCH AND INNOVATION (ICERI), 2011, : 6103 - 6106
  • [42] A framework for the modelling of uncertainty between remote sensing and geographic information systems
    Gahegan, M
    Ehlers, M
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2000, 55 (03) : 176 - 188
  • [43] Landslide Susceptibility Mapping: An Integrated Approach using Geographic Information Value, Remote Sensing, and Weight of Evidence Method
    Litesh Bopche
    Priti P. Rege
    Geotechnical and Geological Engineering, 2022, 40 : 2935 - 2947
  • [44] Landslide Susceptibility Mapping: An Integrated Approach using Geographic Information Value, Remote Sensing, and Weight of Evidence Method
    Bopche, Litesh
    Rege, Priti P.
    GEOTECHNICAL AND GEOLOGICAL ENGINEERING, 2022, 40 (06) : 2935 - 2947
  • [45] Mesquite encroachment impact on southern New Mexico rangelands: remote sensing and geographic information systems approach
    Mohamed, Ahmed H.
    Holechek, Jerry L.
    Bailey, Derek W.
    Campbell, Carol L.
    DeMers, Michael N.
    JOURNAL OF APPLIED REMOTE SENSING, 2011, 5
  • [46] Remote sensing and geographic information systems for design and operation of water resources systems.
    La Loggia, G
    INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 1998, 12 (05) : 513 - 514
  • [47] Remote sensing and geographic information systems as emerging tools for riverine habitat and landscape evaluation: From concepts to models
    Leuven, RSEW
    Poudevigne, I
    Teeuw, RM
    APPLICATION OF GEOGRAPHIC INFORMATION SYSTEMS AND REMOTE SENSING IN RIVER STUDIES, 2002, : 217 - 239
  • [48] Remote sensing information model and geographic mathematics
    Ma, A.
    Beijing Daxue Xuebao Ziran Kexue Ban/Acta Scientiarum uaturalium Universitatis Pekinensis, 2001, 37 (04): : 557 - 562
  • [49] Geoinformation - Remote sensing, photogrammetry and geographic information
    Dowman, I
    INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2004, 18 (02) : 206 - 207
  • [50] Application of geographic information systems and remote sensing in river studies: General introduction
    Leuven, RSEW
    Poudevigne, I
    Teeuw, RM
    APPLICATION OF GEOGRAPHIC INFORMATION SYSTEMS AND REMOTE SENSING IN RIVER STUDIES, 2002, : 1 - 8