Remote sensing and GIS technology in the global land ice measurements from space (GLIMS) project

被引:172
|
作者
Raup, Bruce
Kaeaeb, Andreas
Kargel, Jeffrey S.
Bishop, Michael P.
Hamilton, Gordon
Lee, Ella
Paul, Frank
Rau, Frank
Soltesz, Deborah
Khalsa, Siri Jodha Singh
Beedle, Matthew
Helm, Christopher
机构
[1] Univ Colorado, Natl Snow & Ice Data Ctr, Boulder, CO 80309 USA
[2] Univ Zurich, Dept Geog, Glaciol & Geomorphodynam Grp, CH-8057 Zurich, Switzerland
[3] Univ Arizona, Tucson, AZ 85721 USA
[4] Univ Nebraska, Durham Sci Ctr, Omaha, NE 68182 USA
[5] Univ Maine, Climate Change Inst, Orono, ME 04469 USA
[6] US Geol Survey, Flagstaff, AZ 86001 USA
[7] Univ Freiburg, Inst Phys Geog, D-79085 Freiburg, Germany
基金
美国国家航空航天局;
关键词
glaciers; remote sensing; database; open-source GIS;
D O I
10.1016/j.cageo.2006.05.015
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Global Land Ice Measurements from Space (GLIMS) is an international consortium established to acquire satellite images of the world's glaciers, analyze them for glacier extent and changes, and to assess these change data in terms of forcings. The consortium is organized into a system of Regional Centers, each of which is responsible for glaciers in their region of expertise. Specialized needs for mapping glaciers in a distributed analysis environment require considerable work developing software tools: terrain classification emphasizing snow, ice, water, and admixtures of ice with rock debris; change detection and analysis; visualization of images and derived data; interpretation and archival of derived data; and analysis to ensure consistency of results from different Regional Centers. A global glacier database has been designed and implemented at the National Snow and Ice Data Center (Boulder, CO); parameters have been expanded from those of the World Glacier Inventory (WGI), and the database has been structured to be compatible with (and to incorporate) WGI data. The project as a whole was originated, and has been coordinated by, the US Geological Survey (Flagstaff, AZ), which has also led the development of an interactive tool for automated analysis and manual editing of glacier images and derived data (GLIMSView). This article addresses remote sensing and Geographic Information Science techniques developed within the framework of GLIMS in order to fulfill the goals of this distributed project. Sample applications illustrating the developed techniques are also shown. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:104 / 125
页数:22
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