Published Research

The following references cite studies that used IceBridge, ICESat data from NSIDC. Please contact User Services if you have a reference you would like to share on this page.


Alley, Karen E., et al. 2016. Impacts of warm water on Antarctic ice shelf stability through basal channel formation. Nature Geoscience 9(4): 290-293. doi:

Du, Xiaoping, et al. 2016. Vertical accuracy assessment of freely available digital elevation models over low-lying coastal plains. International Journal of Digital Earth 9(3): 252-271. doi:

Fayad, Ibrahim, et al. 2016. Regional Scale Rain-Forest Height Mapping Using Regression-Kriging of Spaceborne and Airborne LiDAR Data: Application on French Guiana. Remote Sensing 8(3). Art. #240. doi:

Fayad, Ibrahim, et al. 2016. Aboveground biomass mapping in French Guiana by combining remote sensing, forest inventories and environmental data. International Journal of Applied Earth Observation and Geoinformation 52: 502-514. doi:

Ghosh, S., et al. 2016. Land Cover Classification Using ICESat/GLAS Full Waveform Data. Journal of the Indian Society of Remote Sensing: 1-9. doi:

Jawat, Shridhar D., and Alvarinho J. Luis. 2016. Generation of a Precise DEM by interactive synthesis of multitemporal elevation datasets: a case study of Schirmacher Oasis, East Antarctica. Land Surface and Cryosphere Remote Sensing III edited by Reza Khanbilvardi, Ashwagosh Ganju, A. S. Rajawat, Jing M. Chen. New Dehli: SPIE, Art. #98772E.. doi:

Kern, Stefan, and Burcu Ozsoy-Çiçek. 2016. Satellite Remote Sensing of Snow Depth on Antarctic Sea Ice: An Inter-Comparison of Two Empirical Approaches. Remote Sensing 8(6). Art. #450. doi:

Kern, Stefan, Burcu Ozsoy-Çiçek, and Anthony P. Worby. 2016. Antarctic Sea-Ice Thickness Retrieval from ICESat: Inter-Comparison of Different Approaches. Remote Sensing 8(7). Art. #538. doi:

Li, Guoyuan, et al. 2016. Improve the ZY-3 Accuracy Using ICESat/GLAS Laser Altimeter Data. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B1, 2016 XXIII ISPRS Congress, 12–19 July 2016, Prague, Czech Republic 41-B1. Prague: ISPRS, 37-42. doi:

Li, Guoyuan, et al. 2016. ZY-3 Block adjustment supported by glas laser altimetry data. Photogrammetric Record 31(153): 88-107. doi:

Li, Xiaolu, mand Lijun Xu. 2016. Surface slope and roughness measurement using ICESat/GLAS elevation and laser waveform. Measurement Science and Technology 27(9): Art. #095202. doi:

Li, Zhiguo, et al. 2016. Changes in glacier extent and surface elevations in the Depuchangdake region of northwestern Tibet, China. Quaternary Research 85(1): 25-33. doi:

Marsh, Oliver J., et al. 2016. High basal melting forming a channel at the grounding line of Ross Ice Shelf, Antarctica. Geophysical Research Letters 43(1): 250-255. doi:

Montesano, Paul M., et al. 2016. Spaceborne potential for examining taiga–tundra ecotone form and vulnerability. Biogeosciences 13(13): 3847-3861. doi:

O'Loughlin, Fiachra, et al. 2016. ICESat-derived inland water surface spot heights. Water Resources Research 524): 3276–3284. doi:

O'Loughlin, Fiachra, et al. 2016. A multi-sensor approach towards a global vegetation corrected SRTM DEM product. Remote Sensing of Environment 182: 49-59. doi:

Pandey, Pratima, et al. 2016. Qualitative and quantitative assessment of TanDEM-X DEM over western Himalayan glaciated terrain. Geocarta International. doi:

Shean, David, et al. 2016. An automated, open-source pipeline for mass production of digital elevation models (DEMs) from very-high-resolution commercial stereo satellite imagery. SPRS Journal of Photogrammetry and Remote Sensing 116: 101-117. doi:

Song, Chunqiao, and Yongwei Sheng. 2016. Contrasting evolution patterns between glacier-fed and non-glacier-fed lakes in the Tanggula Mountains and climate cause analysis. Climatic Change 135(3): 493–507. doi:

Song, Chunqiao, et al. 2016. Glacial lake evolution in the southeastern Tibetan Plateau and the cause of rapid expansion of proglacial lakes linked to glacial-hydrogeomorphic processes. Journal of Hydrology 540: 504–514. doi:

Su, Yanjun, et al. 2016. Spatial distribution of forest aboveground biomass in China: Estimation through combination of spaceborne lidar, optical imagery, and forest inventory data. Remote Sensing of Environment 173: 187-199. doi:

Tang, H., et al. 2016. Characterizing leaf area index (LAI) and vertical foliage profile (VFP) over the United States. Biogeosciences 13(1): 239-252. doi:

Toyoda, Takahiro, et al. 2016. Data assimilation of sea ice concentration into a global ocean–sea ice model with corrections for atmospheric forcing and ocean temperature fields. Journal of Oceanography 72(2): 235-262. doi:

Treichler, D., and A. Kääb. 2016. ICESat laser altimetry over small mountain glaciers. Cryosphere 10(5): 2129-2146. doi:

Visakh, S., S. Muralikrishnan and M. Sreedhar. 2016. Improving the Elevation Accuracy of CARTOSAT -1 DEM. International Journal for Innovative Research in Science & Technology 2(8): 117-128.

Wang, Yuanyuan, et al. 2016. A combined GLAS and MODIS estimation of the global distribution of mean forest canopy height. Remote Sensing of Environment 174: 24-43. doi:

Wendleder, A., et al. 2016. A Method to Estimate Long-Wave Height Errors of SRTM C-Band DEM. IEEE Geoscience and Remote Sensing Letters 13(5): 696-700. doi:

Xi, Xiaohuan, et al. 2016. Forest above Ground Biomass Inversion by Fusing GLAS with Optical Remote Sensing Data. International Journal of Geoinformation 5(4). Art. #45. doi:

Xie, Huan, et al. 2016. Antarctic Ice Sheet Surface Mass Balance Estimates From 2003 to 2015 Using ICESat and CRYOSAT-2 Data. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B8, 2016 XXIII ISPRS Congress, 12–19 July 2016, Prague, Czech Republic 41-B8. Prague: ISPRS, 549-553 . doi:

Yi, Donghui, et al. 2016. Antarctic sea-ice freeboard and estimated thickness from NASA's ICESat and IceBridge observations. Geoscience and Remote Sensing Symposium (IGARSS), 2016 IEEE International. Piscataway, NJ: Institute of Electrical and Electronics Engineers ( IEEE ), 7682-7685. doi:

Yue, Ma, et al. 2016. Waveform model of a laser altimeter for an elliptical Gaussian beam. Applied Optics 55(8): 1957-1965. doi:


Andersen, M. L., et al. 2015. Basin-scale partitioning of Greenland ice sheet mass balance components (2007–2011). Earth and Planetary Science Letters 409: 89-95. doi:

Arthern, Robert J., Richard C. A. Hindmarsh, and C. Rosie Williams. 2015. Flow speed within the Antarctic ice sheet and its controls inferred from satellite observations. Journal of Geophysical Research - Earth Surface 120(7): 1171-1188. doi:

Bao, Wei-jia, et al. 2015. Glacier changes during the past 40 years in the west Kunlun Shan. Journal of Mountain Science 12(2): 344-357. doi:

Bevan, Suzanne L., et al. 2015. Seasonal dynamic thinning at Helheim Glacier. Earth and Planetary Science Letters 415: 47-53. doi:

Brinkerhoff, D., and J. Johnson. 2015. A stabilized finite element method for calculating balance velocities in ice sheets. Geoscience Model Development 8: 1275-1283. doi:

Chi, Hong, et al. 2015. National Forest Aboveground Biomass Mapping from ICESat/GLAS Data and MODIS Imagery in China. Remote Sensing 7(5): 5534-5564. doi:

Chuter, S. J., and J. L. Bamber. 2015. Antarctic ice shelf thickness from CryoSat-2 radar altimetry. Geophysical Research Letters 42(24): 10721-10729. doi:

Collins, M. B., and E. T. A. Mitchard. 2015. Integrated radar and lidar analysis reveals extensive loss of remaining intact forest on Sumatra 2007–2010. Biogeosciences 12: 6637-6653. doi:

Farrinotti, Daniel, et al. 2015. Substantial glacier mass loss in the Tien Shan over the past 50 years. Nature Geoscience 8: 716-722. doi:

Gao, Huilin. 2015. Satellite remote sensing of large lakes and reservoirs: from elevation and area to storage. WIRES 2(2): 147–157. doi:

Gwenzi, David. 2015. Lidar Remote Sensing of Savanna Biophysical Attributes. . Ph. D. Colorado State University.

Haarpaintner, J., et al. 2015. Tropical Forest Remote Sensing Services for the Democratic Republic of Congo Insidc the EU FP7 ‘Recover’ Project (Final Results 2000-2012). The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-7/W3, 2015 36th International Symposium on Remote Sensing of Environment, 11–15 May 2015, Berlin, Germany XL-7/W3: 397-402. doi:

Han, Hyangsun, and Hoonyol Lee. 2015. Tide-corrected flow velocity and mass balance of Campbell Glacier Tongue, East Antarctica, derived from interferometric SAR. Remote Sensing of Environment 160: 180-192. doi:

Hayashi, Masato, et al. 2015. Quantitative assessment of the impact of typhoon disturbance on a Japanese forest using satellite laser altimetry. Remote Sensing of Environment 156: 216-225. doi:

Howat, I. M., et al. 2015. Brief Communication: Sudden drainage of a subglacial lake beneath the Greenland Ice Sheet. The Cryosphere 9(1): 103-108. doi:

Hu, Deyong, et al. 2015. Parameterizing the aerodynamic roughness length on a regional scale based on multi-source remote-sensing data. International Journal of Remote Sensing 36(13): 3483-3502. doi:

Jarihani, Abdollah A., et al. 2015. Satellite-derived Digital Elevation Model (DEM) selection, preparation and correction for hydrodynamic modelling in large, low-gradient and data-sparse catchments. Journal of Hydrology 524: 489-506. doi:

Jiao, Jiu Jimmy, Xiaotao Zhang, and Xusheng Wang. 2015. Satellite-based estimates of groundwater depletion in the Badain Jaran Desert, China. Scientific Reports 5. #8960. doi:

Kääb, A., et al. 2015. Brief Communication: Contending estimates of 2003–2008 glacier mass balance over the Pamir–Karakoram–Himalaya. The Cryosphere 9(2): 557-564. doi:

Ke, Linghong, Xiaoli Ding, and Chunqiao Song. 2015. Estimation of mass balance of Dongkemadi glaciers with multiple methods based on multi-mission satellite data. Quaternary International 371: 58-66. doi:

Ke, Linghong, Xiaoli Ding, and Chunqiao Song. 2015. Heterogeneous changes of glaciers over the western Kunlun Mountains based on ICESat and Landsat-8 derived glacier inventory. Remote Sensing of Environment 168: 13-23. doi:

Kern, Stefan, and Gunnar Spreen. 2015. Uncertainties in Antarctic sea-ice thickness retrieval from ICESat. Annals of Glaciology 56(69): 107-119. doi:

Khan, Shfaqat A., et al. 2015. Greenland ice sheet mass balance: a review. Reports on Progress in Physics 78(4). #046801. doi:

Kinyanjui, Mwangi James, et al. 2015. Comparing Tree Heights among Montane Forest Blocks of Kenya Using LiDAR Data from GLAS. Open Journal of Forestry 5(1). Art. #53470. doi:

Kjeldsen, Kristian K., et al. 2015. Spatial and temporal distribution of mass loss from the Greenland Ice Sheet since AD 1900. Nature 528: 396-400. doi:

Kropáček, Jan, et al. 2015. Remote Sensing for Characterisation and Kinematic Analysis of Large Slope Failures: Debre Sina Landslide, Main Ethiopian Rift Escarpment. Remote Sensing 7(12): 16183-16203. doi:

Landy, Jack C., Jens K. Ehn, and David G. Barber. 2015. Albedo feedback enhanced by smoother Arctic sea ice. Geophysical Research Letters 42(24): 10,714–10,720. doi:

Lee, Changno, et al. 2015. Automated Generation of a Digital Elevation Model Over Steep Terrain in Antarctica From High-Resolution Satellite Imagery. IEEE Transactions on Geoscience and Remote Sensing 53(3): 1186-1194. doi:

Levinsen, J. F., et al. 2015. ESA ice sheet CCI: derivation of the optimal method for surface elevation change detection of the Greenland ice sheet-round robin results. International Journal of Remote Sensing 36(2): 551-573. doi:

Li, Zhiguo, et al. 2015. Changes in the glacier extent and surface elevation in Xiongcaigangri region, Southern Karakoram Mountains, China. Quaternary International 371: 67-75. doi:

Liu, Caixia, et al. 2015. Joint Use of ICESat/GLAS and Landsat Data in Land Cover Classification: A Case Study in Henan Province, China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8(2): 511-522. doi:

Lu, Xiaomei, and Yongxiang Hu. 2015. Accuracy of land surface elevation from CALIPSO mission data. Optical Engineering 54(3). Art. #031102. doi:

Luo, She-Zhou, et al. 2015. Forest leaf area index estimation using combined ICESat/ GLAS and optical remote sensing image. Journal of Infrared and Millimeter Waves 34(2): 243-249. doi: 11972 / j. issn. 1001 - 9014. 2015. 02. 020.

Margolis, Hank A., et al. 2015. Combining satellite lidar, airborne lidar, and ground plots to estimate the amount and distribution of aboveground biomass in the boreal forest of North America. Canadian Journal of Forest Research 45(7): 838-855. doi:

Massom, R. A., et al. 2015. External influences on the Mertz Glacier Tongue (East Antarctica) in the decade leading up to its calving in 2010. Journal of Geophysical Research - Earth Surface 120(1): 490–506. doi:

Ni, Xiliang, et al. 2015. Mapping Forest Canopy Height over Continental China Using Multi-Source Remote Sensing Data. Remote Sensing 7(7): 8436-8452. doi:

Nie, Sheng, et al. 2015. A revised terrain correction method for forest canopy height estimation using ICESat/GLAS data. ISPRS Journal of Photogrammetry and Remote Sensing 108(1): 183-190. doi:

Nilsson, J., et al. 2015. Mass changes in Arctic ice caps and glaciers: implications of regionalizing elevation changes. The Cryosphere 9: 130-150. doi:

Nuimura, T., et al. 2015. The GAMDAM glacier inventory: a quality-controlled inventory of Asian glaciers. The Cryosphere 9: 849-864. doi:

Palmer, Steven, Malcolm McMillan, and Mathieu Morlighem. 2015. Subglacial lake drainage detected beneath the Greenland ice sheet. Nature Communications 6. Art. #8408. doi:

Phan, Vu Hien. 2015. Observing changes in lake level and glacial thickness on the Tibetan Plateau with the ICESat laser altimeter.

Rastogi, Gunjan, Ritesh Agrawala, and Ajai. 2015. Bias corrections of CartoDEM using ICESat-GLAS data in hilly regions. GIScience & Remote Sensing 52(5): 571-585. doi:

Roy, François, et al. 2015. Arctic sea ice and freshwater sensitivity to the treatment of the atmosphere-ice-ocean surface layer. Journal of Geophysical Research - Oceans 120(6): 4392-4417. doi:

Satgé, F., et al. 2015. Accuracy assessment of SRTM v4 and ASTER GDEM v2 over the Altiplano watershed using ICESat/GLAS data. International Journal of Remote Sensing 36(22): 465-488. doi:

Sawada, Yoshito, et al. 2015. A new 500-m resolution map of canopy height for Amazon forest using spaceborne LiDAR and cloud-free MODIS imagery. International Journal of Applied Earth Observation and Geoinformation 43: 92-101. doi:

Schoen, N., et al. 2015. Simultaneous solution for mass trends on the West Antarctic Ice Sheet. The Cryosphere 9: 805-819. doi:

Seehaus, Thorsten, et al. 2015. Changes in ice dynamics, elevation and mass discharge of Dinsmoor–Bombardier–Edgeworth glacier system, Antarctic Peninsula. Earth and Planetary Letters 427: 125-135. doi:

Song, Chunqiao, Bo Huang, and Linghong Ke. 2015. Heterogeneous change patterns of water level for inland lakes in High Mountain Asia derived from multi-mission satellite altimetry. Hydrological Processes 29(12): 2769-2781. doi:

Song, Chunqiao, et al. 2015. Combined ICESat and CryoSat-2 Altimetry for Accessing Water Level Dynamics of Tibetan Lakes over 2003–2014. Water 7(9): 4685-4700. doi:

Su, Xialoi, et al. 2015. High resolution Greenland ice sheet inter-annual mass variations combining GRACE gravimetry and Envisat altimetry. Earth and Planetary Science Letters 422: 11-17. doi:

Su, Yanjun, et al. 2015. SRTM DEM Correction in Vegetated Mountain Areas through the Integration of Spaceborne LiDAR, Airborne LiDAR, and Optical Imagery. Remote Sensing 7(9): 11202-11225. doi:

Sørensen, Louise Sandberg, et al. 2015. Envisat-derived elevation changes of the Greenland ice sheet, and a comparison with ICESat results in the accumulation area. Remote Sensing of Environment 160: 56-62. doi:

Tian, Jinyan, Le Wang, and Xiaojuan Li. 2015. Sub-footprint analysis to uncover tree height variation using ICESat/GLAS. International Journal of Applied Earth Observation and Geoinformation 35B: 284-293. doi:

Wang, Fang, Bamber, J.L., and Xiao Cheng. 2015. Accuracy and Performance of CryoSat-2 SARIn Mode Data Over Antarctica. IEEE Geoscience and Remote Sensing Letters 12(7): 1516-1520. doi:

Wang, Ninglian, et al. 2015. Variations of the glacier mass balance and lake water storage in the Tarim Basin, northwest China, over the period of 2003-2009 estimated by the ICESat-GLAS data. Environmental Earth Sciences 74: 1997-2008. doi:

Willis, Michael J., et al. 2015. Recharge of a subglacial lake by surface meltwater in northeast Greenland. Nature 518: 223-227. doi:

Willis, Michael J., et al. 2015. Outlet glacier response to the 2012 collapse of the Matusevich Ice Shelf, Severnaya Zemlya, Russian Arctic. Journal of Geophysical Research - Earth Surface 120(10): 2040-2055. doi:

Wuite, J., et al. 2015. Evolution of surface velocities and ice discharge of Larsen B outlet glaciers from 1995 to 2013. The Cryosphere 9: 957-969. doi:

Yang, Ting, et al. 2015. Forest canopy height mapping over China using GLAS and MODIS data. Science China-Earth Sciences 57: 96-105. doi:

Yu, Ying, Xiguang Yang, and Wenyi Fan. 2015. Estimates of forest structure parameters from GLAS data and multi-angle imaging spectrometer data. International Journal of Applied Earth Observation and Geoinformation 38(1): 65-71. doi:

Zhao, Shangmin, et al. 2015. Rectification methods comparison for the ASTER GDEM V2 data using the ICESat/GLA14 data in the Lvliang mountains, China. Environmental Earth Sciences Thematic Issue. doi:

Zhou, Yu, et al. 2015. Improving InSAR elevation models in Antarctica using laser altimetry, accounting for ice motion, orbital errors and atmospheric delays. Remote Sensing of Environment 162: 112-118. doi:

Zhou, Yuhong, et al. 2015. ICESat waveform-based land-cover classification using a curve matching approach. International Journal of Remote Sensing 36(1): 36-60. doi:

Zwally, H. Jay, et al. 2015. Mass gains of the Antarctic ice sheet. Journal of Glaciology 61(230): 1019-1036. doi:


Arsen, Adalbert, et al. 2014. Remote Sensing-Derived Bathymetry of Lake Poopó. Remote Sensing 6: 407-420. doi:

Baghdadi, N., et ak, 2014. Estimation of forest height and above ground biomass from ICESat/GLAS data in Eucalyptus plantations in Brazil. Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International: 725-728. doi:

Baghdadi, N., et al. 2014. Viability Statistics of GLAS/ICESat Data Acquired Over Tropical Forests. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7(5): 1658-1664. doi:

Baghdadi, N., et al. 2014. Testing Different Methods of Forest Height and Aboveground Biomass Estimations From ICESat/GLAS Data in Eucalyptus Plantations in Brazil. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7(1): 290-299. doi:

Betbeder, J., et al. 2014. Mapping of Central Africa Forested Wetlands Using Remote Sensing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7(2): 531-542. doi: