Published Research

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

2014

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: p 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: http://dx.doi.org/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: http://dx.doi.org/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: http://dx.doi.org/10.1007/s00382-014-2409-9.

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.

Fayad, Ibrahim 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: http://dx.doi.org/10.3390/rs61211883.

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: http://dx.doi.org/10.5194/tc-8-673-2014.

Gascon, F., et al. 2014. Copernicus Sentinel-2 Mission: Products, Algorithms and Cal/Val . SPIE Proceedings 9218. doi: http://dx.doi.org/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: http://dx.doi.org/10.3189/2014JoG14J129.

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

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: http://dx.doi.org/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: http://dx.doi.org/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: http://dx.doi.org/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: http://dx.doi.org/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: http://dx.doi.org/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: http://dx.doi.org/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: http://dx.doi.org/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: http://dx.doi.org/10.1007/s00190-014-0708-x.

Kropácek, 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: http://dx.doi.org/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: http://dx.doi.org/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: http://dx.doi.org/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: http://dx.doi.org/10.1016/j.quaint.2014.04.051.

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: http://dx.doi.org/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: http://dx.doi.org/10.1007/s11430-013-4796-x.

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

Michel, Aurélie, Thomas Flament, and Frédérique Rémy. 2014. Study of the Penetration Bias of ENVISAT Altimeter Observations over Antarctica in Comparison to ICESat Observations . Remote Sensing 6(10): 9412-9434. doi: http://dx.doi.org/10.3390/rs6109412.

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: http://dx.doi.org/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: http://dx.doi.org/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: http://dx.doi.org/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: http://dx.doi.org/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: http://dx.doi.org/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): p 1-9. doi: http://dx.doi.org/10.4236/ojmh.2014.41001.

Neckel, N., J. Kropá?ek, 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: http://dx.doi.org/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: http://dx.doi.org/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). Art. #103104. doi: http://dx.doi.org/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: http://dx.doi.org/10.3390/rs6076566.

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: http://dx.doi.org/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: http://dx.doi.org/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: http://dx.doi.org/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: http://dx.doi.org/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  3576:00:00: 239-251. doi: http://dx.doi.org/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: http://dx.doi.org/10.1002/2014GL059976.

Smith, Noah H., et al. 2014. Laser Reference Sensor Alignment Estimation Using Star Observations. Journal of Spacecraft and Rockets 0(0): p 1-11. doi: http://dx.doi.org/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: http://dx.doi.org/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: http://dx.doi.org/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: http://dx.doi.org/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: http://dx.doi.org/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. 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: http://dx.doi.org/10.1016/j.rse.2014.08.007.

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: http://dx.doi.org/10.1016/j.rse.2013.12.007.

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: http://dx.doi.org/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: http://dx.doi.org/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: p 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: http://dx.doi.org/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: http://dx.doi.org/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: http://dx.doi.org/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: http://dx.doi.org/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): 83515. doi: http://dx.doi.org/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: http://dx.doi.org/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: http://dx.doi.org/10.7522/j.issn.1000-0240.0077.

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: http://dx.doi.org/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: http://dx.doi.org/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: http://dx.doi.org/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: http://dx.doi.org/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: http://dx.doi.org/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: http://dx.doi.org/10.3390/rs61110457.

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: http://dx.doi.org/10.5194/tc-8-705-2014.

2013

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: http://dx.doi.org/10.1007/s12517-012-0768-2.

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: http://dx.doi.org/10.1002/grl.50270.

Burgener, L., et al. 2013. An Observed Negative Trend in West Antarctic Accumulation Rates From 1975 To 2010: Evidence from New Observed and Simulated Records. J. of Geophysical Research - Atmospheres 118(10): 4205–4216. doi: http://dx.doi.org/10.1002/jgrd.50362.

Choi, Sungho, et al. 2013. Allometric Scaling and Resource Limitations Model of Tree Heights: Part 2. Site Based Testing of the Model. Remote Sensing 5(1): 202-223.

Connor, L. N., et al. 2013. Validating ICESat Over Thick Sea Ice in the Northern Canada Basin. IEEE Transactions on Geoscience and Remote Sensing 51(4): 2188-2200. doi: http://dx.doi.org/10.1109/TGRS.2012.2211603.

Dabboor, M. D., A. Braun, M. Kneen. 2013. Tracking Sand Dune Migration in the Rub Al-Khali with ICESat Laser Altimetry. International Journal of Remote Sensing 34(11): 3832-3847. doi: http://dx.doi.org/10.1080/01431161.2012.762483.

Dadic, Ruzica, et al. 2013. Observations, Theory, and Modeling of the Differential Accumulation of Antarctic Megadunes. Journal of Geophysical Research - Earth Surface 118(4): 2343-2353. doi: http://dx.doi.org/10.1002/2013JF002844.

Duan, Zheng and W. G. M. Bastiaanssen. 2013. Estimating Water Volume Variations in Lakes and Reservoirs from Four Operational Satellite Altimetry Databases and Satellite Imagery Data. Remote Sensing of Environment  134: 403-416. doi: http://dx.doi.org/10.1016/j.rse.2013.03.010.

Duan, Zheng, W. G. M. Bastiaanssen, and Eric Muala. 2013. ICESat-Derived Water Level Variations of Roseires Reservoir (Sudan) in the Nile Basin. 2013 IEEE Geoscience and Remote Sensing Symposium (IGARSS): 2884-2887. doi: http://dx.doi.org/10.1109/IGARSS.2013.6723427.

Durrieu, S., et al. 2013. Preliminary Studies for a Vegetation Ladar/Lidar Space Mission in France. 2013 IEEE Geoscience and Remote Sensing Symposium (IGARSS): 2332-2335.

Fatoyinbo, Temilola E. and Marc Simard. 2013. Height and Biomass of Mangroves in Africa from ICESat/GLAS and SRTM. International Journal of Remote Sensing 34(2): 668-681.

Gardner, Alex S., et al. 2013. A Reconciled Estimate of Glacier Contributions to Sea Level Rise: 2003 to 2009. Science  340(6134): 852-857. doi: http://dx.doi.org/10.1126/science.1234532.

Hayashi, Masato, et al. 2013. Forest Canopy Height Estimation Using Icesat/Glas Data and Error Factor Analysis in Hokkaido, Japan. ISPRS J. of Photogrammetry and Remote Sensing 81: p 12-18. doi: http://dx.doi.org/10.1016/j.isprsjprs.2013.04.004.

Holt, T. O., et al. 2013. Speedup and Fracturing of George VI Ice Shelf, Antarctic Peninsula. The Cryosphere  7(3): 797-816. doi: http://dx.doi.org/10.5194/tc-7-797-2013.

Horgan, Huw J., et al. 2013. Estuaries Beneath Ice Sheets. Geology 41(11): 1159-1162. doi: http://dx.doi.org/10.1130/G34654.1.

Huang, Xiaodong, et al. 2013. A Novel Solution for Outlier Removal of Icesat Altimetry Data: A Case Study in the Yili Watershed, China. Frontiers of Earth Science 7(2): 217-226. doi: http://dx.doi.org/10.1007/s11707-013-0362-2.

Iqbal, Irfan Akhtar, Jadunandan Dash, Saleem Ullah, and Ghayyas Ahmad. 2013. A Novel Approach to Estimate Canopy Height Using ICESat/GLAS Data: A Case Study in the New Forest National Park, UK. International J. of Applied Earth Observation and Geoinformation 23: 109-118. doi: http://dx.doi.org/10.1016/j.jag.2012.12.009.

Jaharani, Abdollah A., et al. 2013. Evaluation of Multiple Satellite Altimetry Data for Studying Inland Water Bodies and River Floods. Journal of Hydrology 505(1): 78-90. doi: http://dx.doi.org/10.1016/j.jhydrol.2013.09.010.

Jawak, S. D., et al. 2013. Assessment of Spatial Interpolation Techniques for Generating an Accurate Digital Elevation Surface Using Combined Radar and LiDAR Elevation Data. 8th International Conference on Microwaves, Antenna, Propagation & Remote Sensing, ICMARS-2012 Proceedings; Jodhpur, INDIA, Dec. 11 – 15, 2012 288-291.

Khazendar, A., et al. 2013. Observed Thinning of Totten Glacier is Linked to Coastal Polynya Variability. Nature Communications 4: 2857. doi: http://dx.doi.org/10.1038/ncomms3857.

Kirchner, N., et al. 2013. Statistical Modeling of a Former Arctic Ocean Ice Shelf Complex Using Antarctic Analogies. J. of Geophysical Research - Earth Surface 118(2): 1105-1117. doi: http://dx.doi.org/10.1002/jgrf.20077.

Kobayashia, Takashi, et al. 2013. Waveform Simulator and Analytical Procedure for JAXA's Future Spaceborne LiDAR to Measure Canopy Height. Proc. SPIE 8894, Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing IX 88940C. doi: http://dx.doi.org/10.1117/12.2029357.

Kohler, J., et al. 2013. ICESat Elevations in Antarctica Along the 2007–09 Norway–USA Traverse: Validation With Ground-Based GPS. IEEE Transactions on Geoscience and Remote Sensing 51(3pt2): 1578-1587. doi: http://dx.doi.org/10.1109/TGRS.2012.2207963.

Lu, Xiaomei and Yongxiang Hu. 2013. Ice Sheet Surface Elevation Retrieval from CALIPSO Lidar Measurements. Proceedings of the Laser Radar Technology and Applications XVIII (SPIE 8731)  #87310Z. doi: http://dx.doi.org/10.1117/12.2026617.

Luo, Shezhou, et al. 2013. Retrieving Leaf Area Index Using Icesat/Glas Full-Waveform Data. Remote Sensing Letters 4(8): 745-753. doi: http://dx.doi.org/10.1080/2150704X.2013.790573.

McMillan, Malcolm, et al. 2013. Three-dimensional Mapping by CryoSat-2 of Subglacial Lake Volume Changes. Geophysical Research Letters 40(16): 4321-4327. doi: http://dx.doi.org/10.1002/grl.50689.

Neckel, N., et al. 2013. Recent Mass Balance of the Purogangri Ice Cap, Central Tibetan Plateau, by Means of Differential X-band SAR Interferometry. The Cryosphere 7: 1623-1633. doi: http://dx.doi.org/10.5194/tc-7-1623-2013.

Nuth, C., et al. 2013. Decadal Changes From a Multi-Temporal Glacier Inventory of Svalbard. The Cryosphere 7: 1603-1621. doi: http://dx.doi.org/10.5194/tc-7-1603-2013.

O'Loughlin, F. O., et al. 2013. Hydraulic Characterization of the Middle Reach of the Congo River. Water Resources Research 49(8): 5059-5070. doi: http://dx.doi.org/10.1002/wrcr.20398.

Panzer, Ben, et al. 2013. An Ultra-Wideband, Microwave Radar for Measuring Snow Thickness on Sea Ice and Mapping Near-Surface Internal Layers in Polar Firn. J. of Glaciology 59(214): 244-254. doi: http://dx.doi.org/10.3189/2013JoG12J128.

Price, Daniel, et al. 2013. Sea Ice Freeboard in McMurdo Sound, Antarctica, Derived by Surface-Validated ICESat Laser Altimeter Data. Journal of Geophysical Research - Oceans 118(7): 3634-3650. doi: http://dx.doi.org/10.1002/jgrc.20266.

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