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Publications Citing EOS Land Validation

The following 10 publications cited the EOS Land Validation project.

YearCitationDataset or Project
2018Alemohammad, Seyed Hamed; Kolassa, Jana; Prigent, Catherine; Aires, Filipe; Gentine, Pierre (2018) Global Downscaling of Remotely-Sensed Soil Moisture using Neural Networks.Hydrology and Earth System Sciences Discussions. 1-19. https://.org/10.5194/hess-2017-680
2017Clewley, Daniel; Whitcomb, Jane B.; Akbar, Ruzbeh; Silva, Agnelo R.; Berg, Aaron; Adams, Justin R.; Caldwell, Todd; Entekhabi, Dara; Moghaddam, Mahta (2017) A Method for Upscaling In Situ Soil Moisture Measurements to Satellite Footprint Scale Using Random Forests.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10(6): 2663-2673. https://doi.org/10.1109/JSTARS.2017.2690220
2016Carroll, Mark L.;Brown, Molly E.;Wooten, Margaret R.;Donham, Joel E.;Hubbard, Alfred B.;Ridenhour, William B.; (2016) In situ air temperature and humidity measurements over diverse land covers in Greenbelt, Maryland, Novemberá2013ľNovemberá2015.Earth System Science Data. 8(2): 415-423. https://doi.org/10.5194/essd-8-415-2016
2016Khwairakpam Amitab, Arnab K.;Debdatta Kandar, ;Maji, ; (2016) Comparative Evaluation of Radial Basis Function Network Transfer Function for Filtering Speckle Noise in Synthetic Aperture Radar Images. 243-252. https://doi.org/10.1007/978-981-10-0287-8_22
2016Wang, Yuanyuan;Li, Guicai;Ding, Jianhua;Guo, Zhaodi;Tang, Shihao;Wang, Cheng;Huang, Qingni;Liu, Ronggao;Chen, Jing M.; (2016) A combined GLAS and MODIS estimation of the global distribution of mean forest canopy height.Remote Sensing of Environment. 174 24-43. https://doi.org/10.1016/j.rse.2015.12.005
2014Gonsamo A., Chen, J. M.; (2014) Improved LAI Algorithm Implementation to MODIS Data by Incorporating Background, Topography, and Foliage Clumping Information. Geoscience and Remote Sensing, IEEE Transactions on. 52 (2): 1076-1088. https://doi.org/10.1109/TGRS.2013.2247405
2014Wang D., Liang, Shunlin.; (2014) Improving LAI Mapping by Integrating MODIS and CYCLOPES LAI Products Using Optimal Interpolation. Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of. 7 (2): 445-457. https://doi.org/10.1109/JSTARS.2013.2264870
2014Wang D., Liang, Shunlin.; (2014) Improving LAI Mapping by Integrating MODIS and CYCLOPES LAI Products Using Optimal Interpolation. Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of. 7 (2): 445-457. https://doi.org/10.1109/JSTARS.2013.2264870
2013Leonenko G., Los, S. O., North, P. R. J.; (2013) Retrieval of leaf area index from MODIS surface reflectance by model inversion using different minimization criteria. Remote Sensing of Environment. 139 (0): 257-270. https://doi.org/10.1016/j.rse.2013.07.012
2008Ganguly, S., (2008). EARTH SYSTEM DATA RECORDS OF VEGETATION LEAF AREA INDEX FROM MULTIPLE SATELLITE-BORNE SENSORS. Geography and Environment, Doctor of Philosophy.