![glims definition glims definition](https://www.glims.org/Software/doc/API/classGlacierConfigDlg_856a5306237cdd0cb0017363e7ee9e6d_cgraph.png)
Finally, from the resulting classification maps, we extracted the snowline altitude for a sample of three glaciers, using both optical and SAR data, comparing the different products. In this case, the accuracy increased by 14.7% combining different geometric acquisitions (88.9%) with respect to the single geometry case. We then tested the capability of C-band SAR to detect accumulation and ablation zones of the glaciers under the winter dry snow by setting up a multi-incidence angle and fully polarimetric SVM classifier, exploiting ascending and descending RADARSAT-2 data. The first Sentinel-1 image acquired on our test area was also employed for classification. The simulation of RADARSAT-2 data as Sentinel-1 like for dual-pol data shows a decrease of accuracy equal to 7.8% with respect to the fully polarimetric case (93.5%). The introduction of polarimetric features and decomposition parameters (such as Cloude–Pottier or Touzi decomposition parameters) increases the classification accuracy by 5.2% with respect to the backscattering case. When backscattering values only are employed, the incidence angle used as input feature of the SVM classifier assures the best classification accuracy, 9.9% higher than the accuracy obtained with cosine corrected $$ backscattering. We analyzed the importance of topographic correction on the backscattering and polarimetric SAR signature and the advantage of quad-pol with respect to dual-pol data. In this study, we investigated the use of synthetic aperture radar (SAR) polarimetry (Pol-SAR) and a supervised classification technique, support vector machine (SVM), for the classification of bare soil, ice, and snow, over the Ortles–Cevedale massif, (Eastern Italian Alps). The GLIMS database will provide an easy-to-use and widely accessible service for the glaciological community and other users needing information about the world's glaciers. This paper describes these recent developments and new plans for GLIMS. New funding from NASA, expected to begin in the next few months, will include support to: populate the database with new analyses from the world- wide network of GLIMS Regional Centers, add historical observations from the Former Soviet Union and China, enhance the user interface with an open systems GIS approach to make the data available, and validate the utility and quality of the database for glaciological science through selected regional scientific assessments.
Glims definition software#
We are working closely with the United States Geological Survey on the development of GLIMS analysis software called GLIMSView.
![glims definition glims definition](https://globalcryospherewatch.org/news/images/insar_ice-velocity.jpg)
Simple user interfaces for data submission and ordering are being tested. The database design, data transfer specification, and ingest module are complete. The database includes temporal measurements of glacier length, area, boundaries, topography, surface velocity vectors, and snowline elevation. With National Aeronautics and Space Administration (NASA) funding, the National Snow and Ice Data Center (NSIDC) has developed the GLIMS glacier database.
![glims definition glims definition](https://www.glims.org/Software/doc/API/classImageInf__inherit__graph.png)
Glims definition plus#
Global Land Ice Measurements from Space (GLIMS) is an international project tasked with surveying a majority of the world's estimated 160,000 glaciers with data collected by the Advanced Spaceborne Thermal Emission and reflection Radiometer (ASTER) instrument aboard the EOS Terra spacecraft and the Landsat Enhanced Thematic Mapper Plus (ETM+).