Published Research

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

2015

Azmat, Muhammed. 2015. Water Resources Availability and Hydropower Production under Current and Future Climate Scenarios: The Case of Jhelum River Basin, Pakistan. : viii, 223. Ph. D. Politecnico di Torino. doi: http://dx.doi.org/10.6092/polito/porto/2594956.

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: http://dx.doi.org/10.1007/s11629-014-3220-0.

Boori, Mukesh, and Ralph Ferraro. 2015. Global Land Cover Classification Based on Microwave Polarization and Gradient Ratio (MPGR). Geoinformatics for Intelligent Transportation. New York, NY: Springer International Publishing, 17-37. doi: http://dx.doi.org/10.1007/978-3-319-11463-7_2.

Brun, F., et al. 2015. Seasonal changes in surface albedo of Himalayan glaciers from MODIS data and links with the annual mass balance. The Cryosphere 9(1): 341-355. doi: http://dx.doi.org/10.5194/tc-9-341-2015.

Burakowski, Elizabeth A., et al. 2015. Spatial scaling of reflectance and surface albedo over a mixed-use, temperate forest landscape during snow-covered periods. Remote Sensing of Environment 158: 465-477. doi: http://dx.doi.org/10.1016/j.rse.2014.11.023.

Crawford, Christopher J. 2015. MODIS Terra Collection 6 fractional snow cover validation in mountainous terrain during spring snowmelt using Landsat TM and ETM. Hydrological Processes 29(1): 128-138. doi: http://dx.doi.org/10.1002/hyp.10134.

Dietz, Andreas J., Claudia Kuenzer, and Stefan Dech. 2015. Analysis of snow cover time series -- Opportunities and Techniques. Remote Sensing Time Series: Revealing Land Surface Dynamics. New York, NY: Springer, 75-98..

Haizhu, Pan, Wang Jian, and Li Hongyi. 2015. Acuracy validation of the MODIS snow albedo products and estimate of the snow albedo under cloud over the Qilian Mountains. Journal of Glaciology and Geocryology 37(1): 49-57. doi: http://dx.doi.org/10.7522/j.isn.100240.2015.005.

Joshi, Rajesh, et al. 2015. Variations in the Seasonal Snow Cover Area (SCA) for Upper Bhagirathi Basin, India. Dynamics of Climate Change and Water Resources of Northwestern Himalaya. New York, NY: Springer International Publishing, 9-21. doi: http://dx.doi.org/10.1007/978-3-319-13743-8_2.

Karlsson, K. -G., E. Johansson, and A. Devasthale. 2015. Advancing the uncertainty characterisation of cloud masking in passive satellite imagery: Probabilistic formulations for NOAA AVHRR data. Remote Sensing of Environment 158: 126-139. doi: http://dx.doi.org/10.1016/j.rse.2014.10.028.

Khan, Asif, Bibi S. Naz, and Laura C. Bowling. 2015. Separating snow, clean and debris covered ice in the Upper Indus Basin, Hindukush-Karakoram-Himalayas, using Landsat images between 1998 and 2002. Journal of Hydrology 521(1): 46-64. doi: http://dx.doi.org/10.1016/j.jhydrol.2014.11.048.

Kim, Miae, et al. 2015. Landfast sea ice monitoring using multisensor fusion in the Antarctic. GIScience & Remote Sensing 52(2): 239-256. doi: http://dx.doi.org/10.1080/15481603.2015.1026050.

Klein, Igor, et al. 2015. Global WaterPack: Intra-annual Assessment of Spatio-Temporal Variability of Inland Water Bodies. Remote Sensing and Digital Image Processing . Zurich: Springer International Publishing Switzerland, 99-117. doi: http://dx.doi.org/10.1007/978-3-319-15967-6_5.

Kostyuchenko, Yuriy V. 2015. Infrastructure Vulnerability Assessment Toward Extreme Meteorological Events Using Satellite Data. Numerical Methods for Reliability and Safety Assessment: Multiscale and Multiphysics Systems. Zurich: Springer International Publishing Switzerland, 425-438. doi: http://dx.doi.org/10.1007/978-3-319-07167-1__15.

Liang, Tian Gang, et al. 2015. An application of MODIS data to snow cover monitoring in a pastoral area: A case study in Northern Xinjiang, China. Remote Sensing of Environment 112(4): 1514-1526. doi: http://dx.doi.org/10.1016/j.rse.2007.06.001.

Liu, Yuqiong, et al. 2015. Blending satellite-based snow depth products with in situ observations for streamflow predictions in the Upper Colorado River Basin. Water Resources Research 51(2): 1182-1202. doi: http://dx.doi.org/10.1002/2014WR016606.

Marchane, A., et al. 2015. Assessment of daily MODIS snow cover products to monitor snow cover dynamics over the Moroccan Atlas mountain range. Remote Sensing of Environment 160: 72-86. doi: http://dx.doi.org/10.1016/j.rse.2015.01.002.

Metsamaki, Sari, et al. 2015. Introduction to GlobSnow Snow Extent products with considerations for accuracy assessment. Remote Sensing of Environment 156: 96-108. doi: http://dx.doi.org/10.1016/j.rse.2014.09.018.

Moustafa, S. E., et al. 2015. Multi-modal albedo distributions in the ablation area of the southwestern Greenland Ice Sheet. The Cryosphere 9: 905-923. doi: http://dx.doi.org/10.5194/tc-9-905-2015.

Niu, X., and Rachel T. Pinker. 2015. An improved methodology for deriving high-resolution surface shortwave radiative fluxes from MODIS in the Arctic region. Journal of Geophysical Research - Atmospheres 120(6): 2382-2393. doi: http://dx.doi.org/10.1002/2014JD022151.

Ossi, Federico, et al. 2015. Snow sinking depth and forest canopy drive winter resource selection more than supplemental feeding in an alpine population of roe deer. European Journal of Wildlife Research 61(1): 111-124. doi: http://dx.doi.org/10.1007/s10344-014-0879-z.

Pan, Paipai, et al. 2015. Snow cover detection based on two-dimensional scatter plots from MODIS imagery data. Journal of Applied Remote Sensing 9. Art. #096083. doi: http://dx.doi.org/10.1117/1.JRS.9.096083.

Paul, Stephan, et al. 2015. Spatial Feature Reconstruction of Cloud-Covered Areas in Daily MODIS Composites. Remote Sensing 7(5): 5042-5056. doi: http://dx.doi.org/10.3390/rs70505042.

Perez-Luque, A. J., et al. 2015. An ontological system based on MODIS images to assess ecosystem functioning of Natura 2000 habitats: A case study for Quercus pyrenaica forests. International Journal of Applied Earth Observation and Geoinformation 37(SI): 142-151. doi: http://dx.doi.org/10.1016/j.jag.2014.09.003.

Poggio, Laura, and Alessandro Gimona. 2015. Sequence-based mapping approach to spatio-temporal snow patterns from MODIS time-series applied to Scotland. International Journal of Applied Earth Observation and Geoinformation 34: 122-135. doi: http://dx.doi.org/10.1016/j.jag.2014.08.005.

Ragettli, S., et al. 2015. Unraveling the hydrology of a Himalayan catchment through integration of high resolution in situ data and remote sensing with an advanced simulation model. Advances in Water Resources 78: 94-111. doi: http://dx.doi.org/10.1016/j.advwatres.2015.01.013.

Spieß, M., et al. 2015. MODIS derived equilibrium line altitude estimates for Purogangri ice cap, Tibetan Plateau, and their relation to climatic predictors (2001–2012). Geografiska Annaler: Series A, Physical Geography: 1-17. doi: http://dx.doi.org/10.1111/geoa.12102.

Suzuki, Kazuyoshi, Glen E. Liston, and Koji Matsuo. 2015. Estimation of Continental-Basin-Scale Sublimation in the Lena River Basin, Siberia. Advances in Meteorology 2015. Art. #286206. doi: http://dx.doi.org/10.1155/2015/286206.

Tahir, Adnan Ahmad, et al. 2015. Snow cover trend and hydrological characteristics of the Astore River basin (Western Himalayas) and its comparison to the Hunza basin (Karakoram region). Science of the Total Environment 505: 748-761. doi: http://dx.doi.org/10.1016/j.scitotenv.2014.10.065.

Walker, Catherine C., et al. 2015. Observations of interannual and spatial variability in rift propagation in the Amery Ice Shelf, Antarctica, 2002–14. Journal of Glaciology 61(226): 243-252. doi: http://dx.doi.org/10.3189/2015JoG14J151.

Wang, Jie, et al. 2015. Surface Albedo Variation and Its Influencing Factors over Dongkemadi Glacier, Central Tibetan Plateau. Advances in Meteorology. Art. #852098.

Wang, Kun. 2015. Snow effects on alpine vegetation in the Qinghai-Tibetan Plateau. International Journal of Digital Earth 8(1): 56-73. doi: http://dx.doi.org/10.1080/17538947.2013.848946.

Wang, Tao, et al. 2015. Spring snow cover deficit controlled by intraseasonal variability of the surface energy fluxes. Environmental Research Letters 10(2). Art. #024018. doi: http://dx.doi.org/10.1088/1748-9326/10/2/024018.

Wang, Wei, et al. 2015. Spatio-Temporal Change of Snow Cover and Its Response to Climate over the Tibetan Plateau Based on an Improved Daily Cloud-Free Snow Cover Product. Remote Sensing 7(1): 169-194. doi: http://dx.doi.org/10.3390/rs70100169.

Willmes, S., and G. Heinemann. 2015. Pan-Arctic lead detection from MODIS thermal infrared imagery. Annals of Glaciology 56(69): 29-37. doi: http://dx.doi.org/10.3189/2015AoG69A615.

Zhang, Guoqing, et al. 2015. Quantitative water resources assessment of Qinghai Lake basin using Snowmelt Runoff Model (SRM). Journal of Hydrology 519: 976-987. doi: http://dx.doi.org/10.1016/j.jhydrol.2014.08.022.

Zhang, Xiuyu, and Qiting Zuo. 2015. Analysis of Water Resource Situation of the Tarim River Basin and the System Evolution under the Changing Environment. Journal Coastal Research 73: 9-16. doi: http://dx.doi.org/10.2112/SI73-003.1.

2014

Abake, Gulijianati et al. 2014. Potential Hazard Map for Snow Disaster Prevention Using GIS-Based Weighted Linear Combination Analysis and Remote Sensing Techniques: A Case Study in Northern Xinjiang, China. Advances in Remote Sensing 3(4). Art. #52718. doi: http://dx.doi.org/10.4236/ars.2014.34018.

Abeli, Thomas et al. 2014. Geographical pattern in the response of the arctic-alpine Silene suecica (Cariophyllaceae) to the interaction between water availability and photoperiod. Ecological Research 30(2). doi: http://dx.doi.org/10.1007/s11284-014-1225-3.

Alemohammad, Seyed H. Dara Entekhabi, and Dennis B. McLaughlin. 2014. Evaluation of Long-Term SSM/I-Based Precipitation Records over Land. Journal of Hydrometeorology 15(5): 2012–2029. doi: http://dx.doi.org/10.1175/JHM-D-13-0171.1.

Alexander, P. M. et al. 2014. Assessing spatio-temporal variability and trends in modelled and measured Greenland Ice Sheet albedo (2000–2013). The Cryosphere 8: 2293-2312. doi: http://dx.doi.org/10.5194/tc-8-2293-2014.

Arsenault, Kristi R., Paul R. Houser, and Gabriëlle J. M. De Lannoy. 2014. Evaluation of the MODIS snow cover fraction product. Hydrological Processes 28(3): 980-988. doi: http://dx.doi.org/10.1002/hyp.9636.

Bavera, D., et al. 2014. A comparison between two statistical and a physically-based model in snow water equivalent mapping. Advances in Water Resources 63: 167-178. doi: http://dx.doi.org/10.1016/j.advwatres.2013.11.011.

Bennartz, Ralf, Philip Lorenz, and Daniela Jacob. 2014. A comparison of the BALTIMOS coupled climate model with atmospheric and sea surface parameters derived from AMSR-E. Theoretical and Applied Climatology 118(4): 617-625. doi: http://dx.doi.org/10.1007/s00704-009-0178-x.

Bergeron, Jean et al. 2014. Snow cover estimation using blended MODIS and AMSR-E data for improved watershed-scale spring streamflow simulation in Quebec, Canada. Hydrological Processes 28(16): 4626-4639. doi: http://dx.doi.org/10.1002/hyp.10123.

Brisbourne, A. M., et al. 2014. Seabed topography beneath Larsen C Ice Shelf from seismic soundings. The Cryosphere 8(1): 1-13. doi: http://dx.doi.org/10.5194/tc-8-1-2014.

Byun, Kyuhyun, and and Minha Choi 2014. Uncertainty of snow water equivalent retrieved from AMSR-E brightness temperature in northeast Asia. Hydrological Processes 28(7): 3173–3184. doi: http://dx.doi.org/10.1002/hyp.9846.

Chen, Siyu, et al. 2014. Interrelation among climate factors, snow cover, grassland vegetation, and lake in the Nam Co basin of the Tibetan Plateau. J. of Applied Remote Sensing 8(1). Art. #084694. doi: http://dx.doi.org/10.1117/1.JRS.8.084694.

Cortés, Gonzalo et al. 2014. Analysis of sub-pixel snow and ice extent over the extratropical Andes using spectral unmixing of historical Landsat imagery. Remote Sensing of Environment 141: 64-78. doi: http://dx.doi.org/10.1016/j.rse.2013.10.023.

Culibrk, D., et al. 2014. Sources of remote sensing data for precision irrigation. Sensing Technologies for Precision Irrigation. New York: Springer, 53-67.

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