NASA Distributed Active Archive Center (DAAC) at NSIDC

ICESat / GLAS Data

Ice, Cloud, and land Elevation / Geoscience Laser Altimeter System

Published Research: 2010-2015

This page is a bibliography of research published in 2010-2014 using NASA ICESat/GLAS data, and includes links to bibliographies of research published from 2004 through 2009. Please contact NSIDC User Services if you have a reference you would like to share on this page.

Also, for a complete description of the the physical and mathematical concepts of the algorithms used in the generation of the NASA ICESat/GLAS data products, see the ICESat/GLAS Algorithm Theoretical Basis Documents from the Center for Space Research at the University of Texas.

To navigate around the Published Research pages, use the following links:

2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 Pre-Launch Calibration/Validation


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: 10.1016/j.epsl.2014.10.015.

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: 10.1007/s11629-014-3220-0.

Bevan, Suzanne L., et al. 2015. Seasonal dynamic thinning at Helheim Glacier. Earth and Planetary Science Letters 415: 47-53. doi: 10.1016/j.epsl.2015.01.031.

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: 10.5194/gmd-8-1275-2015.

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:10.5194/isprsarchives-XL-7-W3-397-2015.

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: 10.1016/j.rse.2015.01.014.

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: 10.1016/j.rse.2014.09.028.

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: 10.5194/tc-9-103-2015.

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: 10.1016/j.jhydrol.2015.02.049.

Jiao, Jiu Jimmy, Xiaotao Zhang, and Xusheng Wang. 2015. Satellite-based estimates of groundwater depletion in the Badain Jaran Desert, China. Scientific Reports 5: Art. #8960. doi: 10.1038/srep08960.

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: 10.5194/tc-9-557-2015.

Kern, Stefan, and Gunnar Spreen. 2015. Uncertainties in Antarctic sea-ice thickness retrieval from ICESat. Annals of Glaciology 56(69): 107-119. doi: 10.3189/2015AoG69A736.

Khan, Shfaqat A., et al. 2015. Greenland ice sheet mass balance: a review. Reports on Progress in Physics 78(4): Art. #046801. doi: 10.1088/0034-4885/78/4/046801.

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: 10.4236/ojf.2015.51009.

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: 10.1109/TGRS.2014.2335773.

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 551-573. doi: 10.1080/01431161.2014.999385.

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: 10.1109/JSTARS.2014.2327032.

Lu, Xiaomei, and Yongxiang Hu. 2015. Accuracy of land surface elevation from CALIPSO mission data. Optical Engineering 54(3): Art. #031102. doi: 10.1117/1.OE.54.3.031102.

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: 10.1002/2014JF003223.

Nilsson, J., et al. 2015. Mass changes in Arctic ice caps and glaciers: implications of regionalizing elevation changes. The Cryosphere 9(1): 130-150. doi: 10.5194/tc-9-139-2015.

Nuimura, T., et al. 2015. The GAMDAM glacier inventory: a quality-controlled inventory of Asian glaciers. The Cryosphere 9: 849-864. doi: 10.5194/tc-9-849-2015.

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

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: 10.1080/01431161.2014.999166.

Schoen, N., et al. 2015. Simultaneous solution for mass trends on the West Antarctic Ice Sheet. The Cryosphere 9: 805-819. doi: 10.5194/tc-9-805-2015.

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: 10.1016/j.rse.2014.12.022.

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: 10.1016/j.epsl.2015.04.016.

Tian, Jinyan, Le Wang, and Xiaojuan Li. 2015. Sub-footprint analysis to uncover tree height variation using ICESat/GLAS. International J. of Applied Earth Observation and Geoinformation 35B: 284-293. doi: 10.1016/j.jag.2014.09.016.

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. doi: 10.1007/s12665-015-4662-6.

Willis, Michael J., et al. 2015. Recharge of a subglacial lake by surface meltwater in northeast Greenland. Nature 518: 223-227. doi: 10.1038/nature14116.

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: 10.1016/j.jag.2014.12.013.

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: 10.1016/j.rse.2015.01.017.

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: 10.1080/01431161.2014.990648.


Arsen, Adalbert, et al. 2014. Remote Sensing-Derived Bathymetry of Lake Poopó. Remote Sensing 6: 407-420. doi: 10.3390/rs6010407.

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: 10.1109/JSTARS.2013.2261978.

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: 10.1109/JSTARS.2013.2273563.

Baghdadi, N., et al. 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: 10.1109/IGARSS.2014.6946526.

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: 10.1109/JSTARS.2013.2269733.

Borsa, A. A., et al. 2014. A Range Correction for ICESat and its Potential Impact on Ice-sheet Mass Balance Studies. The Cryosphere 8(2): 345-357. doi:10.5194/tc-8-345-2014.

Bosch, Wolfgang, Denise Dettmering, and Christian Schwatke. 2014. Multi-Mission Cross-Calibration of Satellite Altimeters: Constructing a Long-Term Data Record for Global and Regional Sea Level Change Studies. Remote Sensing 6(3):2255-2281. doi: 10.3390/rs6032255#sthash.aQ7OEU1g.dpuf.

Chander, S., et al. 2014. Ice Height and Backscattering Coefficient Variability over Greenland Ice Sheets Using SARAL Radar Altimeter. Marine Geodesy. doi: 10.1080/01490419.2014.990590.

Cochran, J. R., et al. 2014. Bathymetric and Oceanic Controls on Abbot Ice Shelf Thickness and Stability . The Cryosphere 8(3): 877-889. doi: 10.5194/tc-8-877-2014.

Csatho, Beata M., et al. 2014. Laser altimetry reveals complex pattern of Greenland Ice Sheet dynamics. Proceedings of the National Academy of Sciences 111(52): 18478-18483. doi: 10.1073/pnas.1411680112.

Deo, Rinki and Rao. 2014. Vertical Accuracy Assessment of TanDEM-X DEM Over Indian Test Areas. EUSAR 2014; Proceedings of 10th European Conference on Synthetic Aperture Radar, 1-4.

Enßle, F., J. Heinzel, and B. Koch. 2014. Accuracy of Vegetation Height and Terrain Elevation Derived from ICESat/GLAS in Forested Areas. International Journal of Applied Earth Observation and Geoinformation 31: 37-44. doi: 10.1016/j.jag.2014.02.009.

Fang, Zhou and Chunxiang Cao. 2014. Estimation of Forest Canopy Height Over Mountainous Areas Using Satellite Lidar. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7(7): 3157-3166. doi: 10.1109/JSTARS.2014.2300145.

Farhan, Suhaib Bin, et al. 2014. Hydrological regimes under the conjunction of westerly and monsoon climates: a case investigation in the Astore Basin, Northwestern Himalaya. Climate Dynamics. doi: 10.1007/s00382-014-2409-9.

Fayad, Ibrahim, et al. 2014. Canopy Height Estimation in French Guiana with LiDAR ICESat/GLAS Data Using Principal Component Analysis and Random Forest Regressions. Remote Sensing 6(12): 11883-11914. doi: 10.3390/rs61211883.

Fayad, I., et al. 2014. Coupling Potential of ICESat/GLAS and SRTM for the Discrimination of Forest Landscape Types in French Guiana. International Journal of Applied Earth Observation and Geoinformation 33: 21-31.

Flament, T., E. Berthier, and F. Remy. 2014. Cascading Water Underneath Wilkes Land, East Antarctic Ice Sheet, Observed Using Altimetry and Digital Elevation Models. The Cryosphere 8(3): 673-687. doi: 10.5194/tc-8-673-2014.

Fricker, Helen A., et al. 2014. Active lakes of Recovery Ice Stream, East Antarctica: a bedrock-controlled subglacial hydrological system. Journal of Glaciology 60(223): 1015-1030. doi: 10.3189/2014JoG14J063.

Gascon, F., et al. 2014. Copernicus Sentinel-2 Mission: Products, Algorithms and Cal/Val. SPIE Proceedings 9218, doi: 10.1117/12.2062260.

Gogineni, S., et al. 2014. Bed topography of Jakobshavn Isbræ, Greenland, and Byrd Glacier, Antarctica. Journal of Glaciology 60(223): 813-833. doi: 10.3189/2014JoG14J129.

Groh, A., et al. 2014. Mass, Volume and Velocity of the Antarctic Ice Sheet: Present-Day Changes and Error Effects. Surveys in Geophysics. doi: 10.1007/s10712-014-9286-y.

Groh, A. 2014. Zur Bestimmung eisinduzierter Massensignale aus der Kombination geodätischer Daten. PhD diss., Technische Universitat Dresden.

Groh, A., et al. 2014. Assessing the Current Evolution of the Greenland Ice Sheet by Means of Satellite and Ground-Based Observations. Surveys in Geophysics. doi: 10.1007/s10712-014-9287-x.

Gu, Zhenxiong, et al. 2014. Experimental Results of Elevation Change Analysis in the Antarctic Ice Sheet Using DEMs from ERS and ICESat data. Annals of Glaciology 55(66): 198-204. doi: 10.3189/2014AoG66A124.

Gunter, B. C., et al. 2014. Empirical Estimation of Present-day Antarctic Glacial Isostatic Adjustment and Ice Mass Change. The Cryosphere 8(3): 743-760. doi: 10.5194/tc-8-743-2014.

Gwenzi, David and Michael Andrew Lefsky. 2014. Modeling canopy height in a savanna ecosystem using spaceborne lidar waveforms. Remote Sensing of Environment 154: 338-344. doi: 10.1016/j.rse.2013.11.024.

Hansen, M. C., et al. 2014. Monitoring Conterminous United States (CONUS) Land Cover Change with Web-Enabled Landsat Data (WELD). Remote Sensing of Environment 140: 466-484. doi: 10.1016/j.rse.2013.08.014.

Helm, V., A. Humbert, and H. Miller. 2014. Elevation and elevation change of Greenland and Antarctica derived from CryoSat-2. The Cryosphere 8(4): 1539-1559. doi: 10.5194/tc-8-1539-2014.

Herzfeld, Ute C. and Bruce Wallin. 2014. Spatio-temporal Analysis of Surface Elevation Changes in Pine Island Glacier, Antarctica, from ICESat GLAS Data and ERS-1 Radar Altimeter Data. Annals of Glaciology 55(66): 248-258. doi: 10.3189/2014AoG66A014.

Jiang, Houjun, et al. 2014. Fusion of High-resolution DEMs Derived from COSMO-SkyMed and TerraSAR-X InSAR Datasets. Journal of Geodesy 88(6): 587-599. doi: 10.1007/s00190-014-0708-x.

Kropáček, Jan, Niklas Neckel, and Andreas Bauder. 2014. Estimation of Mass Balance of the Grosser Aletschgletscher, Swiss Alps, from ICESat Laser Altimetry Data and Digital Elevation Models. Remote Sensing, 6(6): 5614-5632. doi:10.3390/rs6065614.

Langley, K., et al. 2014. Complex Network of Channels Beneath an Antarctic Ice Shelf. Geophysical Research Letters 41(4): 1209-1215. doi: 10.1002/2013GL058947.

Larour, E., et al. 2014. Representation of sharp rifts and faults mechanics in modeling ice shelf flow dynamics: Application to Brunt/Stancomb-Wills Ice Shelf, Antarctica. Journal of Geophysical Research - Earth Surface 119(9):1918-1935. doi: 10.1002/2014JF003157.

Li, Long, et al. 2014. Changes of the three holy lakes in recent years and quantitative analysis of the influencing factors. Quaternary International 349: 339-345. doi: 10.1016/j.quaint.2014.04.051.

Li, Xiaolu, Lian Ma, and Lijun Xu. 2014. Real-time terrain classification using ICESat/GLAS data over Beijing area. Remote Sensing Letters 5(7):591-600. doi: 10.1080/2150704X.2014.942922.

Liu, Jun, et al. 2014. Glacier Mass Change Evaluation in Lambert-Amery Area from 2002 to 2012 Using ASTER Stereo Images and ICESat GLAS Laser Altimetry . IOP Conf. Series: Earth and Environmental Science 17: Art. # 012136. doi: 10.1088/1755-1315/17/1/012136.

Liu, Yan, et al. 2014. Detection of Crevasses Over Polar Ice Shelves Using Satellite Laser Altimeter. Science China-Earth Sciences 57(6): 1267-1277. doi: 10.1007/s11430-013-4796-x.

Mahoney, Craig, et al. 2014. Slope Estimation from ICESat/GLAS. Remote Sensing 6(10):10051-10069. doi: 10.3390/rs61010051.

McMillan, Malcolm, et al. 2014. Increased Ice Losses from Antarctica Detected by CryoSat-2. Geophysical Research Letters 41(11): 3899-3905. doi: 10.1002/2014GL060111.

Moholdt, Geir, et al. 2014. Basal mass budget of Ross and Filchner-Ronne ice shelves, Antarctica, derived from Lagrangian analysis of ICESat altimetry. Journal of Geophysical Research - Earth Surface 119(1): 2361-2380. doi: 10.1002/2014JF003171.

Montesano, Paul M., et al. 2014. The Uncertainty of Plot-Scale Forest Height Estimates from Complementary Spaceborne Observations in the Taiga-Tundra Ecotone. Remote Sensing 6(10):10070-10088. doi: 10.3390/rs61010070#sthash.csHtclLs.dpuf.

Montesano, Paul M., et al. 2014. The uncertainty of biomass estimates from LiDAR and SAR across a boreal forest structure gradient. Remote Sensing of Environment 154:398-407. doi: 10.1016/j.rse.2014.01.027.

Morton, Douglas C., et al. 2014. Amazon Forests Maintain Consistent Canopy Structure and Greenness During the Dry Season. Nature 506(7487): 221-224. doi: 10.1038/nature13006.

Munchow, Andreas, Laurie Padman, and Helen A. Fricker. 2014. Interannual Changes of the Floating Ice Shelf of Petermann Gletscher, North Greenland, from 2000 to 2012. Journal of Glaciology 60(221): 489-499. doi: 10.3189/2014JoG13J135.

Muskett, Reginald R. 2014. ICESat-Derived Elevation Changes on the Lena Delta and Laptev Sea, Siberia. Open Journal of Modern Hydrology 4(1): 1-9. doi: 10.4236/ojmh.2014.41001.

Neckel, N., J. Kropáček, T. Bolch, and V. Hochschild. 2014. Glacier Mass Changes on the Tibetan Plateau 2003–2009 Derived from ICESat Laser Altimetry Measurements. Environmental Research Letters, 9(1). doi:10.1088/1748-9326/9/1/014009.

Ni, Xiliang, et al. 2014. Allometric Scaling and Resource Limitations Model of Tree Heights: Part 3. Model Optimization and Testing over Continental China. Remote Sensing 6(5): 3533-3553. doi: 10.3390/rs6053533.

Nie, Sheng, et al. 2014. Signal-to-noise ratio–based quality assessment method for ICESat/GLAS waveform data. Optical Engineering 53(10):103104. doi: 10.1117/1.OE.53.10.103104.

Nielsen, Karina, et al. 2014. Towards Constraining Glacial Isostatic Adjustment in Greenland Using ICESat and GPS Observations. International Association of Geodesy Symposia 139: 325-331.

Park, Taejin, et al. 2014. Application of Physically-Based Slope Correction for Maximum Forest Canopy Height Estimation Using Waveform Lidar across Different Footprint Sizes and Locations: Tests on LVIS and GLAS. Remote Sensing 6(7):6566-6586. doi: 10.3390/rs6076566#sthash.SAY2x8jf.dpuf.

Peterson, Birgit, and Kurtis J. Nelson. 2014. Mapping Forest Height in Alaska Using GLAS, Landsat Composites, and Airborne LiDAR. Remote Sensing 6:12409-12426. doi: 10.3390/rs61212409.

Richter, Andreas, et al. 2014. Height changes over subglacial Lake Vostok, East Antarctica: Insights from GNSS observations. Journal of Geophysical Research - Earth Surface 119(11):2460–2480. doi: 10.1002/2014JF003228.

Ross, Neil, et al. 2014. The Ellsworth Subglacial Highlands: Inception and retreat of the West Antarctic Ice Sheet. Geological Society of America Bulletin 126(1-2):3-15. doi: 10.1130/B30794.1.

Scambos, T. A., et al. 2014. Detailed ice loss pattern in the northern Antarctic Peninsula: widespread decline driven by ice front retreats. The Cryosphere 8:2135-2145. doi: 10.5194/tc-8-2135-2014.

Schenk, Toni, et al. 2014. Fusion of Multi-sensor Surface Elevation Data for Improved Characterization of Rapidly Changing Outlet glaciers in Greenland. Remote Sensing of Environment 149: 239-251. doi: 10.1016/j.rse.2014.04.005.

Sergienko, O. V., T. T. Creyts, and R. C. A. Hindmarsh. 2014. Similarity of organized patterns in driving and basal stresses of Antarctic and Greenland ice sheets beneath extensive areas of basal sliding. Geophysical Research Letters 41(11):3925-3932. doi: 10.1002/2014GL059976.

Smith, Noah H., et al. 2014. Laser Reference Sensor Alignment Estimation Using Star Observations. Journal of Spacecraft and Rockets 0(0): 1-11. doi: 10.2514/1.A32669.

Song, Chunqiao, et al. 2014. Accelerated Lake Expansion on the Tibetan Plateau in the 2000s: Induced by Glacial Melting or Other Processes? Water Resources Research 50(4): 3170-3186. doi: 10.1002/2013WR014724.

Song, Chunqiao, et al. 2014. Inter-annual Changes of Alpine Inland Lake Water Storage on the Tibetan Plateau: Detection and Analysis by Integrating Satellite Altimetry and Optical Imagery. Hydrological Processes 28(4): 2411–2418. doi: 10.1002/hyp.9798.

Song, Chunqiao, et al. 2014. Seasonal and Abrupt Changes in the Water Level of Closed Lakes on the Tibetan Plateau and Implications for Climate Impacts. Journal of Hydrology 514: 131-144. doi: 10.1016/j.jhydrol.2014.04.018.

Sutterley, Tyler C., et al. 2014. Mass loss of the Amundsen Sea Embayment of West Antarctica from four independent techniques. Geophysical Research Letters 41(23): 8421-8428. doi: 10.1002/2014GL061940.

Takaku, Junichi, Takeo Tadono, and Ken Tsutsu. 2014. Generation of High Resolution Global DSM from Alos Prism. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-4, 2014 ISPRS Technical Commission IV Symposium, 14 – 16 May 2014, Suzhou, China , 243-248.

Tang, Hao, et al. 2014. Deriving and Validating Leaf Area Index (LAI) at Multiple Spatial Scales Through Lidar Remote Sensing: A Case Study in Sierra National Forest, CA. Remote Sensing of Environment 143: 131-141. doi: 10.1016/j.rse.2013.12.007.

Tang, Hao, et al. 2014. Large-scale retrieval of leaf area index and vertical foliage profile from the spaceborne waveform lidar (GLAS/ICESat). Remote Sensing of Environment 154:8-18. doi: 10.1016/j.rse.2014.08.007.

Wang, Longfei, et al. 2014. Analysis of Elevation Discrepancies Along the Lop Nur Ear-shaped Stripes Observed Using GLAS and DGPS Data. International Journal of Remote Sensing 35(4): 1466-1480. doi: 10.1080/01431161.2013.878060.

Wang, Longfei, Hauze Gong, and Yun Shao. 2014. Precise Topography Assessment of Lop Nur Lake Basin Using GLAS Altimeter. IOP Conf. Series: Earth and Environmental Science 17: Art. # 012140. doi:10.1088/1755-1315/17/1/012140.

Wang, Xianwei, Xiao Cheng, Peng Gong, C.K. Shum, David M. Holland, and Xiaowen Li. 2014. Freeboard and Mass Extraction of the Disintegrated Mertz Ice Tongue with Remote Sensing and Altimetry Data. Remote Sensing of Environment, 144:1-10.

Wang, Xiaoyi, et al. 2014. Forest Canopy Height Extraction in Rugged Areas With ICESat /GLAS Data. IEEE Transactions on Geoscience and Remote Sensing 52(8): doi: 10.1109/TGRS.2013.2283272.

White, Duanne A. and David Fink. 2014. Late Quaternary Glacial History Constrains Glacio-isostatic Rebound in Enderby Land, East Antarctica. Journal of Geophysical Research - Earth Surface 119(3): 401-413. doi: 10.1002/2013JF002870.

Winberry, J. Paul, et al. 2014. Tidal pacing, skipped slips and the slowdown of Whillans Ice Stream, Antarctica. Journal of Glaciology 60(222): 795-807. doi: 10.3189/2014JoG14J038.

Wu, Hongbo, et al. 2014. Variations in Water Level and Glacier Mass Balance in Nam Co lake, Nyainqentanglha Range, Tibetan Plateau, Based on ICESat Data for 2003–09. Annals of Glaciology 55(66): 239-247. doi: 10.3189/2014AoG66A100.

Wu, Hongbo, Ninglian Wang, Zhongming Guo, et al. 2014. Regional Glacier Mass Loss Estimated by ICESat-GLAS Data and SRTM Digital Elevation Model in the West Kunlun Mountains, Tibetan Plateau, 2003–2009. Journal of Applied Remote Sensing, 8(1):083515. doi: 10.1117/1.JRS.8.083515.

Wu, Yanhong, et al. 2014. Long-Term Changes of Lake Level and Water Budget in the Nam Co Lake Basin,Central Tibetan Plateau. Journal of Hydrometeorology 15(3): 1312-1322. doi: 10.1175/JHM-D-13-093.1.

Xiao, Feng, et al. 2014. Precision comparison and analysis of the four Antarctic digital elevation models. Journal of Glaciology and Geocryology 36(3):640-648. doi: 10.7522/j.issn.1000-0240.0077.

Yang, Ting, et al. 2014. Forest canopy height mapping over China using GLAS and MODIS data. Science China-Earth Sciences 57: doi:10.1007/s11430-014-4905-5.

Zhang, Gong, et al. 2014. Estimation of forest aboveground biomass in California using canopy height and leaf area index estimated from satellite data. Remote Sensing of Environment 151:44-56. doi: 10.1016/j.rse.2014.01.025.

Zhang, Shuai, Huilin Gao, and Bibi S. Naz. 2014. Monitoring reservoir storage in South Asia from multisatellite remote sensing. Water Resources Research 50(11): 8927–8943. doi: 10.1002/2014WR015829.

Zhang, Yuzhen, Shunlin Liang, and Guoqing Sun. 2014. Forest Biomass Mapping of Northeastern China Using GLAS and MODIS Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7(1):140-152. doi: 10.1109/JSTARS.2013.2256883.

Zhou, Chunxia, et al. 2014. Application of Synthetic Aperture Radar Remote Sensing in Antarctica. Proc. SPIE 9158, Remote Sensing of the Environment: 18th National Symposium on Remote Sensing of China 9158: Art. #91580L. doi: 10.1117/12.2063869.

Zhu, Dayun, et al. 2014. Rapid glacier retreat in the Naimona'Nyi region, western Himalayas, between 2003 and 2013. Journal of Applied Remote Sensing 8(1): Art. #083508. doi: 10.1117/1.JRS.8.083508.

Zhu, Wenbin, Shaofeng Jia, and Aifeng Lv. 2014. Monitoring the Fluctuation of Lake Qinghai Using Multi-Source Remote Sensing Data. Remote Sensing 6(11):10457-10482. doi: 10.3390/rs61110457#sthash.HrQl4Rcf.dpuf.

Zygmuntowska, M. 2014. Arctic Sea Ice Altimetry - Advances and Current Uncertainties. University of Bergen.

Zygmuntowska, M., et al. 2014. Uncertainties in Arctic Sea Ice Thickness and Volume: New Estimates and Implications for Trends. The Cryosphere 8: 705-720. doi: 10.5194/tc-8-705-2014.


Avtar, R. and Haruo Sawada. 2013. Use of DEM Data to Monitor Height Changes Due to Deforestation. Arabian Journal of Geosciences 6(12):4859-4871. doi: 10.1007/s12517-012-0768-2.

Betbeder, J., et al. 2013. 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: 10.1109/JSTARS.2013.2269733.

Bolch, T., et al. 2013. Mass Loss of Greenland's Glaciers and Ice Caps 2003–2008 Revealed from ICESat Laser Altimetry Data. Geophysical Research Letters 40(5): 875-881. doi: 10.1002/grl.50270.

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