A review of remote sensing methods for glacier mass balance determination

被引:109
|
作者
Bamber, Jonathan L. [1 ]
Rivera, Andres
机构
[1] Univ Bristol, Sch Geog Sci, Bristol Glaciol Ctr, Bristol, Avon, England
[2] Ctr Estudios Cient, Valdivia, Chile
[3] Univ Chile, Dept Geog, Santiago, Chile
关键词
satellite remote sensing; Patagonia; Glaciar Chico; mass balance; glacier;
D O I
10.1016/j.gloplacha.2006.11.031
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Airborne and satellite remote sensing is the only practical approach for deriving a wide area, regional assessment of glacier mass balance. A number of remote sensing approaches are possible for inferring the mass balance from some sort of proxy estimate. Here, we review the key methods relevant, in particular to Andean glaciers, discussing their strengths and weaknesses, and data sets that could be more fully exploited. We also consider future satellite missions that will provide advances in our observational capabilities. The methods discussed include observation of elevation changes, estimation of ice flux, repeat measurement of changes in spatial extent, snowline elevation and accumulation-ablation area ratio estimation. The methods are illustrated utilising a comprehensive review of results obtained from a number of studies of South American glaciers, focusing specifically on the Patagonian Icefields. In particular, we present some new results from Glaciar Chico, Southern Patagonian Icefield, Chile, where a variety of different satellite and in-situ data have been combined to estimate mass balance using a geodetic or elevation change approach over about a 25 yr period. (C) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:138 / 148
页数:11
相关论文
共 50 条
  • [21] Glacier mass balance of tropical Zongo glacier, Bolivia, comparing hydrological and glaciological methods
    Sicart, Jean Emmanuel
    Ribstein, Pierre
    Francou, Bernard
    Pouyaud, Bernard
    Condom, Thomas
    [J]. GLOBAL AND PLANETARY CHANGE, 2007, 59 (1-4) : 27 - 36
  • [22] Optical remote sensing of glacier characteristics: A review with focus on the Himalaya
    Racoviteanu, Adina E.
    Williams, Mark W.
    Barry, Roger G.
    [J]. SENSORS, 2008, 8 (05) : 3355 - 3383
  • [23] Remote sensing of glacier and ice sheet grounding lines: A review
    Friedl, Peter
    Weiser, Frank
    Fluhrer, Anke
    Braun, Matthias H.
    [J]. EARTH-SCIENCE REVIEWS, 2020, 201
  • [24] Spatiotemporal Variations of Glacier Mass Balance in the Tomur Peak Region Based on Multi-Source Altimetry Remote Sensing Data
    Cheng, Chaoying
    Du, Weibing
    Li, Junli
    Bao, Anming
    Ge, Wen
    Wang, Shuangting
    Ma, Dandan
    Pan, Yaming
    [J]. REMOTE SENSING, 2023, 15 (17)
  • [25] Recent 50-Year Glacier Mass Balance Changes over the Yellow River Source Region, Determined by Remote Sensing
    Zhou, Min
    Xu, Song
    Wang, Yetang
    Wang, Yuzhe
    Hou, Shugui
    [J]. REMOTE SENSING, 2022, 14 (24)
  • [26] Glacier mass balance over the central Nyaincientanglha Range during recent decades derived from remote-sensing data
    Wu, Kunpeng
    Liu, Shiyin
    Jiang, Zongli
    Xu, Junli
    Wei, Junfeng
    [J]. JOURNAL OF GLACIOLOGY, 2019, 65 (251) : 422 - 439
  • [27] A comparison of three methods of mass-balance determination in the Tuyuksu glacier region, Tien Shan, Central Asia
    Hagg, WJ
    Braun, LN
    Uvarov, VN
    Makarevich, KG
    [J]. JOURNAL OF GLACIOLOGY, 2004, 50 (171) : 505 - 510
  • [28] Glacier Mass Loss Simulation Based on Remote Sensing Data: A Case Study of the Yala Glacier and the Qiyi Glacier in the Third Pole
    Yao, Ruzhen
    Shi, Jiancheng
    [J]. REMOTE SENSING, 2022, 14 (20)
  • [29] Remote sensing of the Bering Glacier region
    Shuchman, Robert A.
    Josberger, Edward G.
    Jenkins, Liza K.
    Payne, John F.
    Hatt, Charles R.
    Spaete, Lucas
    [J]. Special Paper of the Geological Society of America, 2010, 462 : 43 - 65
  • [30] Remote sensing of snow - a review of available methods
    Dietz, Andreas Juergen
    Kuenzer, Claudia
    Gessner, Ursula
    Dech, Stefan
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2012, 33 (13) : 4094 - 4134