Published Research

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

2014

Mhawej, Mario, et al. 2014. Towards an Enhanced Method to Map Snow Cover Areas and Derive Snow-Water Equivalent in Lebanon. Journal of Hydrology 513: 274-282. doi: http://dx.doi.org/ 10.1016/j.jhydrol.2014.03.058.

Micheletty, P. D. A. M. Kinoshita, and T. S. Hogue. 2014. Application of MODIS snow cover products: wildfire impacts on snow and melt in the Sierra Nevada. Hydrology and Earth System Sciences 18: 4601-4615. doi: http://dx.doi.org/10.5194/hess-18-4601-2014.

Mishra, Bhogendra, Mukand S. Babel, and Nitin K. Tripathi. 2014. Analysis of climatic variability and snow cover in the Kaligandaki River Basin, Himalaya, Nepal. Theoretical and Applied Climatology 116: 681–694. doi: http://dx.doi.org/10.1007/s00704-013-0966-1.

Mishra, Bhogendra, Nitin K. Tripathi, and Mukand S. Babel. 2014. An Artificial Neural Network-Based Snow Cover Predictive Modeling in the Higher Himalayas. J. of Mountain Science 11(4): 825-837. doi: http://dx.doi.org/10.1007/s11629-014-2985-5.

Möller, Rebecca, et al. 2014. MODIS-derived albedo changes of Vatnajškull (Iceland) due to tephra deposition from the 2004 Grímsvötn eruption. International J. of Applied Earth Observation and Geoinformation 26: 256-269. doi: http://dx.doi.org/10.1016/j.jag.2013.08.005.

Molotch, Noah P. and Leah Meromy. 2014. Physiographic and climatic controls on snow cover persistence in the Sierra Nevada Mountains. Hydrological Processes 28(16): 4573–4586. doi: http://dx.doi.org/10.1002/hyp.10254.

Moore, Cara, et al. 2014. A GIS-based method for defining snow zones: application to the western United States. Geocarta International. doi: http://dx.doi.org/10.1080/10106049.2014.885089.

Moradi, Ayoub et al. 2014. Evaluation of MODIS data for improved monitoring of the Caspian Sea. International Journal of Remote Sensing 35(16): 6060-6075. doi: http://dx.doi.org/10.1080/01431161.2014.943324.

Mori, Yuta Hiroyuki Wakabayashi, and Kazuki Nakamura. 2014. A Study on sea ice detection in the Sea of Okhotsk with PALSAR data. Journal of the Remote Sensing Society of Japan 34(1): 10-21.

Musial, J. P., et al. 2014. Probabilistic approach to cloud and snow detection on Advanced Very High Resolution Radiometer (AVHRR) imagery. Atmospheric Measurement Techniques 7: 799-822. doi: http://dx.doi.org/10.5194/amt-7-799-2014.

Nitta, T., et al. 2014. Representing Variability in Subgrid Snow Cover and Snow Depth in a Global Land Model: Offline Validation. J. of Climate 27(9): 3318-3330. doi: http://dx.doi.org/10.1175/JCLI-D-13-00310.1.

Panday, P. K. et al. 2014. Application and evaluation of a snowmelt runoff model in the Tamor River basin, Eastern Himalaya using a Markov Chain Monte Carlo (MCMC) data assimilation approach. Hydrological Processes 28(21): 5337-5353. doi: http://dx.doi.org/10.1002/hyp.10005.

Peng, Chunming. 2014. Intergration of remote sensing and meteorological data for monitoring agricultural drought. : xvi, 223 p. George Mason University. Ph. D.

Polfus, Jean L. et al. 2014. Comparing traditional ecological knowledge and western science woodland caribou habitat models. Wildlife Management 78(1): 112-121. doi: http://dx.doi.org/10.1002/jwmg.643.

Qu, B. et al. 2014. The decreasing albedo of the Zhadang glacier on western Nyainqentanglha and the role of light-absorbing impurities. Atmospheric Chemistry and Physics 14: 11117-11128. doi: http://dx.doi.org/10.5194/acp-14-11117-2014.

Qui, Linghua et al. 2014. Simulation of snowmelt runoff in ungauged basins based on MODIS: a case study in the Lhasa River basin. Stochastic Environmnetal Research and Risk Assessment 28(6): 1577-1585. doi: http://dx.doi.org/10.1007/s00477-013-0837-4.

Rezaei, Parviz. 2014. Using Satellite Images and SRM Hydrological Model for Evaluating Runoff Resulting from Snowmelt in Navrood Basin. Tehni ki vjesnik 21(2): 371-376.

Riegger, J. and M. J. Tourian 2014. Characterization of runoff-storage relationships by satellite gravimetry and remote sensing. Water Resources Research 50(4): 3444-3466. doi: http://dx.doi.org/10.1002/2013WR013847.

Robinson, Barry G., Alastair Franke, and Andrew E. Derocher. 2014. The Influence of Weather and Lemmings on Spatiotemporal Variation in the Abundance of Multiple Avian Guilds in the Arctic. PLOS One 9(7). Art. #e101495. doi: http://dx.doi.org/10.1371/journal.pone.0101495.

Scott, K. A. E. Li, and A. Wong. 2014. Sea Ice Surface Temperature Estimation Using MODIS and AMSR-E Data Within a Guided Variational Model Along the Labrador Coast. IEEE Journal of Selected Topics in Applied Earth Observaitons and Remote Sensing 7(9): 1939-1404. doi: http://dx.doi.org/10.1109/JSTARS.2013.2292795.

Scott, K. Andrea, Mark Buehner, and Tom Carrieres. 2014. An Assessment of Sea-Ice Thickness Along the Labrador Coast From AMSR-E and MODIS Data for Operational Data Assimilation. IEEE Transactions on Geoscience and Remote Sensing 52(5): 2726-2737. doi: http://dx.doi.org/10.1109/TGRS.2013.2265091.

Shahabi, Himan, et al. 2014. Application of moderate resolution imaging spectroradiometer snow cover maps in modeling snowmelt runoff process in the central Zab basin, Iran . J. of Applied Remote Sensing 8(1). Art. #084699. doi: http://dx.doi.org/10.1117/1.JRS.8.084699.

Shahroudi, N. and William Rossow. 2014. Using land surface microwave emissivities to isolate the signature of snow on different surface types. Remote Sensing of Environment 152: 638-653. doi: http://dx.doi.org/10.1016/j.rse.2014.07.008.

She, Jiangfeng, et al. 2014. Changes in snow and glacier cover in an arid watershed of the western Kunlun Mountains using multisource remote-sensing data. International J. of Remote Sensing 35(1): 234-252. doi: http://dx.doi.org/10.1080/01431161.2013.866296.

Shrestha, M., et al. 2014. Correcting basin-scale snowfall in a mountainous basin using a distributed snowmelt model and remote-sensing data. Hydrology and Earth System Sciences 18(2): 747-761. doi: http://dx.doi.org/10.5194/hess-18-747-2014.

Shuman, Christopher A. et al. 2014. Comparison of Near-Surface Air Temperatures and MODIS Ice-Surface Temperatures at Summit, Greenland (2008–13). Journal of Applied Meteorology and Climatology 53: 2171-2180. doi: http://dx.doi.org/10.1175/JAMC-D-14-0023.1.

Shupe, John and Christopher Potter. 2014. Modeling Discharge Rates Using a Coupled Modeled Approach for the Merced River in Yosemite National Park . J. of the American Water Resources Association 50(1): 153-162. doi: http://dx.doi.org/10.1111/jawr.12124.

Sugg, Johnathan et al. 2014. Satellite perspectives on the spatial patterns of new snowfall in the Southern Appalachian Mountains. Hydrological Processes 28(16): 4602-4613. doi: http://dx.doi.org/10.1002/hyp.10196.

Surer, S., J. Parajka, and Z. Akyurek. 2014. Validation of the operational MSG-SEVIRI snow cover product over Austria. Hydrology and Earth System Sciences 18(2): 763-774. doi: http://dx.doi.org/10.5194/hess-18-763-2014.

Tang, Qiuhong, Xuejun Zhang, and Jennifer A. Francis. 2014. Extreme summer weather in northern mid-latitudes linked to a vanishing cryosphere. Nature Climate Change 4: 45-50. doi: http://dx.doi.org/10.1038/nclimate2065.

Tang, Zhiguang, et al. 2014. Extraction and assessment of snowline altitude over the Tibetan plateau using MODIS fractional snow cover data (2001 to 2013). J. of Applied Remote Sensing 8(1). Art. #084689. doi: http://dx.doi.org/10.1117/1.JRS.8.084689.

Telesca, Luciano et al. 2014. Characterization of the time dynamics of monthly satellite snow cover data on Mountain Chains in Lebanon. Journal of Hydrology 519(part d): 3214-3222. doi: http://dx.doi.org/10.1016/j.jhydrol.2014.10.037.

Vafakhah, M., F. Sedighi, and M. R. Javadi. 2014. Modeling the Rainfall-Runoff Data in Snow-Affected Watershed . International J. of Computer and Electrical Engineering 6(1): 40-43. doi: http://dx.doi.org/10.7763/IJCEE.2014.V6.790.

Viale, Maximiliano and René Garreaud. 2014. Summer Precipitation Events over the Western Slope of the Subtropical Andes. Monthly Weather Review 142(3): 1074-1092. doi: http://dx.doi.org/10.1175/MWR-D-13-00259.1.

Walters, Reggie D. et al. 2014. A physiographic approach to downscaling fractional snow cover data in mountainous regions. Remote Sensing of Environment 152: 413-425. doi: http://dx.doi.org/10.1016/j.rse.2014.07.001.

Wang, Jian et al. 2014. Remote sensing for snow hydrology in China: challenges and perspectives. Journal of Applied Remote Sensing 8(1): 65-99. doi: http://dx.doi.org/10.1007/978-94-017-8863-2_4.

Wang, Jie et al. 2014. Spatial and temporal variations of albedo on nine glaciers in western China from 2000 to 2011. Hydrological Processes 28(9): 3454–3465. doi: http://dx.doi.org/10.1002/hyp.9883.

Wang, Libo, et al. 2014. Application of Satellite Data for Evaluating the Cold Climate Performance of the Canadian Regional Climate Model over QuŽbec, Canada. J. of Hydrometeorology 15(2): 614-630. doi: http://dx.doi.org/10.1175/JHM-D-13-086.1.

Wang, Xianwei et al. 2014. Mapping snow cover variations using a MODIS daily cloud-free snow cover product in northeast China. Journal of Applied Remote Sensing 8(1). Art. #084681. doi: http://dx.doi.org/10.1117/1.JRS.8.084681.

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.

Wright, Patrick et al. 2014. Comparing MODIS daily snow albedo to spectral albedo field measurements in Central Greenland. Remote Sensing of Environment 140: 118-129. doi: http://dx.doi.org/10.1016/j.rse.2013.08.044.

Wu, Xuejiao, et al. 2014. In-situ observations and modeling of spring snowmelt processes in an Altay Mountains river basin. J. of Applied Remote Sensing 8(1). Art. #084697. doi: http://dx.doi.org/10.1117/1.JRS.8.084697.

Xiang, Jia et al. 2014. Variability of snow cover in the mountain region of the Yarkant River basin analyzed with MODIS data. Journal of Glaciology and Geocryology 36(2): 296-303.

Xu, Jianhui and Hong Shu. 2014. Assimilating MODIS-based albedo and snow cover fraction into the Common Land Model to improve snow depth simulation with direct insertion and deterministic ensemble Kalman filter methods. Journal of Geophysical Research - Atmospheres 119(18): 10684-10701. doi: http://dx.doi.org/10.1002/2014JD022012.

Xu, Jianhui Hong Shu, and Lin Dong. 2014. DEnKF–Variational Hybrid Snow Cover Fraction Data Assimilation for Improving Snow Simulations with the Common Land Model. Remote Sensing 6(11): 10612-10635. doi: http://dx.doi.org/10.3390/rs61110612.

Yan, Wei et al. 2014. Snow cover area changes in the Yurungkax River Basin of West Kunlun Mountains during 2000-2013 using MODIS data. Progress in Geography 33(3): 315-325. doi: http://dx.doi.org/10.11820/dlkxjz.2014.03.003.

Yang, Juntao, et al. 2014. Monitoring snow cover using Chinese meteorological satellite data over China . Remote Sensing of Environment 143: 192-203. doi: http://dx.doi.org/10.1016/j.rse.2013.12.022.

Ye, Qinyu et al. 2014. A downscaling approach of phase transition water content using AMSR2 and MODIS products. Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International: 3323-3326. doi: http://dx.doi.org/10.1109/IGARSS.2014.6947191.

Zhang, Xiuyu and Qiting Zuo. 2014. Analysis of evolution driving forces and risk of water resources system of the Tarim river basin. Journal of Hydroelectric Engineering 33(1): 64-72.

Zhang, Ying, et al. 2014. Fractional snow-cover mapping using an improved endmember extraction algorithm. J. of Applied Remote Sensing 8(1). Art. #084691. doi: http://dx.doi.org/10.1117/1.JRS.8.084691.

Zhang, Yong-Fei et al. 2014. Assimilation of MODIS snow cover through the Data Assimilation Research Testbed and the Community Land Model version 4. Journal of Geophysical Research - Atmospheres 119(12): 7091-7103. doi: http://dx.doi.org/10.1002/2013JD021329.

Zhao, Long et al. 2014. The scale-dependence of SMOS soil moisture accuracy and its improvement through land data assimilation in the central Tibetan Plateau. Remote Sensing of Environment 152: 345–355. doi: http://dx.doi.org/10.1016/j.rse.2014.07.005.

Zhao, Ming-yang et al. 2014. Estimating snow cover accuracy from MODIS and AMSR-E with cloud removal methodology in Qilian Mountains. Arid Land Geography 37(2): 325-332.

Zhou, X. et al. 2014. Evaluation of Arctic Land Snow Cover Characteristics, Surface Albedo, and Temperature during the Transition Seasons from Regional Climate Model Simulations and Satellite Data. Advances in Meteorology. Art. #604157. doi: http://dx.doi.org/10.1155/2014/604157.

2013

Adams, S., et al. 2013. Improvement and Sensitivity Analysis of Thermal Thin-Ice Thickness Retrievals. IEEE Transactions on Geoscience and Remote Sensing 51(6): 3306-3318. doi: http://dx.doi.org/10.1109/TGRS.2012.2219539.

Amidon, William H., et al. 2013. Late Pleistocene glacial advances in the western Tibet interior. Earth and Planetary Science Letters 381: 210-221. doi: http://dx.doi.org/10.1016/j.epsl.2013.08.041.

Arendt, A., et al. 2013. Analysis of a GRACE global mascon solution for Gulf of Alaska glaciers. J. of Glaciology 59(217): 913-924. doi: http://dx.doi.org/10.3189/2013JoG12J197.

Arsenault, Kristi R., et al. 2013. Impacts of snow cover fraction data assimilation on modeled energy and moisture budgets. J. of Geophysical Research - Atmospheres 118(14): 7489-7504. doi: http://dx.doi.org/10.1002/jgrd.50542.

Barns, Christopher A., et al. 2013. Projected surface radiative forcing due to 2000Ð2050 land-cover land-use albedo change over the eastern United States. J. of Land Use Science 8(4): 369-382. doi: http://dx.doi.org/10.1080/1747423X.2012.667453.

Box, Jason, et al. 2013. Greenland Ice Sheet Mass Balance Reconstruction. Part I: Net Snow Accumulation (1600Ð2009). J. of Climate 26(11): 3919-3934. doi: http://dx.doi.org/10.1175/JCLI-D-12-00373.1.

Braun, Scott A., et al. 2013. The Evolution and Role of the Saharan Air Layer during Hurricane Helene (2006). Monthly Weather Review 141(12): 4269-4295. doi: http://dx.doi.org/10.1175/MWR-D-13-00045.1.

Cai, Dihua, et al. 2013. Character of dust weather and its relationship with snow cover during late fall and early spring in Gansu and Inner Mongolia. 2013 21st International Conference on Geoinformatics: 1-5. doi: http://dx.doi.org/10.1109/Geoinformatics.2013.6626019.

Chan, M. A. and J. C. Comiso. 2013. Arctic Cloud Characteristics as derived from MODIS, CALIPSO and CloudSat. Journal of Climate 26(10): 3285-3306. doi: http://dx.doi.org/10.1175/JCLI-D-12-00204.1.

Chan, Mark A. and Josefino C. Comiso. 2013. Arctic cloud characteristics as derived from MODIS, CALIPSO, and CloudSat. J. of Climate 26(10): 3285-3306. doi: http://dx.doi.org/10.1175/JCLI-D-12-00204.1.

Chelamallu, Hari Prasad, G. Venkataraman, and M. V. R. Murti. 2013. Accuracy assessment of MODIS/Terra snow cover product for parts of Indian Himalays. Geocarta International: 17 p. doi: http://dx.doi.org/10.1080/10106049.2013.819041.

Chokmani, Karem, Monique Bernier, and Alain Royer. 2013. A Merging Algorithm for Regional Snow Mapping over Eastern Canada from AVHRR and SSM/I Data.. Remote Sensing 5(11): 5463-5487. doi: http://dx.doi.org/10.3390/rs5115463..

Cohen, Juval , et al. 2013. Effect of reindeer grazing on snowmelt, albedo and energy balance based on satellite data analyses. Remote Sensing of Environment 135(8): 107-117. doi: http://dx.doi.org/10.1016/j.rse.2013.03.029.

Culibrk, Dubravko, et al. 2013. Sensing Technologies for Precision Irrigation. New York: Springer.

Day, C. Andrew. 2013. Modeling Snowmelt Runoff Response to Climate Change in the Animas River Basin, Colorado. Geology & Geosciences 2(1): 5 p. doi: http://dx.doi.org/10.4172/jgg.1000110.

Demaria, E. C. M., et al. 2013. Using a Gridded Global Dataset to Characterize Regional Hydroclimate in Central Chile. J. of Hydrometeorology 14(1): 251-265. doi: http://dx.doi.org/10.1175/JHM-D-12-047.1.

Dessler, A. E. and N. G. Loeb. 2013. Impact of dataset choice on calculations of the short-term cloud feedback. J. of Geophysical Research - Atmospheres 118(7): 2821-2826. doi: http://dx.doi.org/10.1002/jgrd.50199.

Dietz, Andreas J., Claudia Kuenzer, and Christopher Conrad. 2013. Snow- cover variability in central Asia between 2000 and 2011 derived from improved MODIS daily snow- cover products,. International J. of Remote Sensing 34(11): 3879-3902. doi: http://dx.doi.org/10.1080/01431161.2013.767480.

Eberle, Jonas, et al. 2013. Multi-Source Data Processing Middleware for Land Monitoring within a Web-Based Spatial Data Infrastructure for Siberia. ISPRS International J. of Geo-Information 2(3): 553-576. doi: http://dx.doi.org/10.3390/ijgi2030553.

Finger, D., et al. 2013. IdentiÞcation of glacial meltwater runoff in a karstic environment and its implication for present and future water availability. Hydrology and Earth System Sciences 17: 3261-3277. doi: http://dx.doi.org/10.5194/hess-17-3261-2013.

Franz, Kristi J. and Logan R. Karsten. 2013. Calibration of a distributed snow model using MODIS snow covered area data. J. of Hydrology 494(8): 160-175. doi: http://dx.doi.org/10.1016/j.jhydrol.2013.04.026.

Fujii, Yuka, Edwin L. Turner, and Yasushi Suto. 2013. Variability of Water and Oxygen Absorption Bands in the Disk-integrated Spectra of Earth. Astrophysical Journal 765(2). doi: http://dx.doi.org/10.1088/0004-637X/765/2/76.

Gafurov, A., et al. 2013. Evaluation of remotely sensed snow cover product in Central Asia. Hydrology Research 44(3): 506-522. doi: http://dx.doi.org/10.2166/nh.2012.094.

Gao, Zhongling, et al. 2013. A method of estimating soil moisture based on the linear decomposition of mixture pixels. Mathematical and Computer Modelling 58(3-4): 606-613. doi: http://dx.doi.org/10.1016/j.mcm.2011.10.054.

Gascoin, Simon, et al. 2013. Wind Effects on Snow Cover in Pascua-Lama, Dry Andes of Chile. Advances in Water Resources 55(1): 25-39. doi: http://dx.doi.org/10.1016/j.advwatres.2012.11.013.

Gladkova, I, et al. 2013. A Full Snow Season in Yellowstone: A Database of Restored Aqua Band 6. IEEE Geoscience and Remote Sensing Letters 10(3): 553-557. doi: http://dx.doi.org/10.1109/LGRS.2012.2213063.

Gleason, Kelly E., Anne W. Nolin andTravis R. Roth. 2013. Charred forests increase snowmelt: Effects of burned woody debris and incoming solar radiation on snow ablation. Geophysical Research Letters 40(17): 4654-4661. doi: http://dx.doi.org/10.1002/grl.50896.

Gokmen, Mustafa, et al. 2013. Assessing Groundwater Storage Changes Using Remote Sensing-Based Evapotranspiration and Precipitation at a Large Semiarid Basin Scale. J. of Hydrometeorology 14(6): 1733-1753. doi: http://dx.doi.org/10.1175/JHM-D-12-0156.1.

Koc-San, D., et al. 2013. Multi-Criteria Decision Analysis integrated with GIS and remote sensing for astronomical observatory site selection in Antalya province, Turkey. Advances in Space Research 52(1): 39-51. doi: http://dx.doi.org/10.1016/j.asr.2013.03.001.

Kropá?ek, J., et al. 2013. Analysis of ice phenology of lakes on the Tibetan Plateau from MODIS data. The Cryosphere 7(1): 287-301. doi: http://dx.doi.org/10.5194/tc-7-287-2013.

Kumar, S., et al. 2013. Multiscale Evaluation of the Improvements in Surface Snow Simulation through Terrain Adjustments to Radiation. J. of Hydrometeorology 14(1): 220-232. doi: http://dx.doi.org/10.1175/JHM-D-12-046.1.

Langer, Moritz, et al. 2013. Satellite-based modeling of permafrost temperatures in a tundra lowland landscape. Remote Sensing of Environment 135: 12-24. doi: http://dx.doi.org/10.1016/j.rse.2013.03.011.

Liu, Guo, Hongyan Liu, and Yi Yin. 2013. Global patterns of NDVI-indicated vegetation extremes and their sensitivity to climate extremes. Environmental Research Letters 8. Art. #025009. doi: http://dx.doi.org/10.1088/1748-9326/8/2/025009.

López-Burgos, V., H. V. Gupta, and M. Clark. 2013. Reducing cloud obscuration of MODIS snow cover area products by combining spatio-temporal techniques with a probability of snow approach. Hydrology and Earth System Sciences 17(5): 1809-1823. doi: http://dx.doi.org/10.5194/hess-17-1809-2013.

Luus, K. A., et al. 2013. Modeling the influence of snow cover on low Arctic net ecosystem exchange. Environmental Research Letters 8(3). Art. #035045. doi: http://dx.doi.org/10.1088/1748-9326/8/3/035045.

Ma, Yonggang, et al. 2013. Modelling Snowmelt Runoff under Climate Change Scenarios in an Ungauged Mountainous Watershed, Northwest China. Mathematical Problems in Engineering 2013. Art. #808565. doi: http://dx.doi.org/10.1155/2013/808565.

Makynen, M., Bin Cheng, and Markuu Simila. 2013. On the accuracy of thin-ice thickness retrieval using MODIS thermal imagery over Arctic first-year ice. Annals of Glaciology 54(62): 87-96. doi: http://dx.doi.org/10.3189/2013AoG62A166.

Mazari, Newfel, et al. 2013. Assessment of ice mapping system and moderate resolution imaging spectroradiometer snow cover maps over colorado plateau. J. of Applied Remote Sensing. Art. #073540. doi: http://dx.doi.org/10.1117/1.JRS.7.073540.

Ménégoz, M., H. Gallée, and H. W. Jacobi. 2013. Precipitation and snow cover in the Himalaya: from reanalysis to regional climate simulations. Hydrology and Earth System Sciences 17: 3921-3936. doi: http://dx.doi.org/10.5194/hess-17-3921-2013.

Metsämäki, Sari. 2013. A fractional snow cover mapping method for optical remote sensing data, applicable to continental scale. Monographs of the Boreal Environment Research 43: 54 p.

Moore, R. Dan, Ross A. Woods, and Douglas, P. Boyle. 2013. Putting PUB into practice in mountainous regions. Streamline: Watershed Management Bulletin 15(2): 41994.

Mukhopadhyay, B. 2013. Signature and hydrologic consequences of climate change within the upper-middle Brahmaputra Basin. Hydrological Processes 27(15): 2126-2143. doi: http://dx.doi.org/10.1002/hyp.9306.

Notarnicola, Claudia, et al. 2013. Application of the Apparent Thermal Inertia Concept for Soil Moisture Estimation in Agricultural Areas. Thermal Infrared Remote Sensing: 331-346. doi: http://dx.doi.org/10.1007/978-94-007-6639-6_17.

Notarnicola, Claudia, et al. 2013. Snow Cover Maps from MODIS Images at 250 m Resolution, Part 1: Algorithm Description. Remote Sensing 5(1): 110-126. doi: http://dx.doi.org/10.3390/rs5010110.

Powers, Ryan P., et al. 2013. A remote sensing approach to biodiversity assessment and regionalization of the Canadian boreal forest. Progress in Physical Geography 37(1): 36-62. doi: http://dx.doi.org/10.1177/0309133312457405.

Qian, Y., et al. 2013. Land Surface Temperature and Emissivity Retrieval From Time-Series Mid-Infrared and Thermal Infrared Data of SVISSR/FY-2C. IEEE J. of Selected Topics in Applied Earth Observations and Remote Sensing 6(3): 1552-1563. doi: http://dx.doi.org/10.1109/JSTARS.2013.2259146.

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