The following 17 publications cited the EOS Land Validation project.
Year | Citation | Dataset or Project |
---|---|---|
2023 | Kobayashi, T., H. Kobayashi, W. Yang, H. Murakami, Y. Honda, and K. Nishida Nasahara. 2023. The development of a global LAI and FAPAR product using GCOM-C/SGLI data. ISPRS Journal of Photogrammetry and Remote Sensing. 202:479-498. https://doi.org/10.1016/j.isprsjprs.2023.07.003 | Leaf Area Index Maps at 30-m Resolution, Selected Sites, Canada |
2023 | Pasik, A., A. Gruber, W. Preimesberger, D. De Santis, and W. Dorigo. 2023. Uncertainty estimation for a new exponential-filter-based long-term root-zone soil moisture dataset from Copernicus Climate Change Service (C3S) surface observations. Geoscientific Model Development. 16(17):4957-4976. https://doi.org/10.5194/gmd-16-4957-2023 | Soil Moisture Profiles and Temperature Data from SoilSCAPE Sites, USA |
2021 | Guglielmo, M., F.H.M. Tang, C. Pasut, and F. Maggi. 2021. SOIL-WATERGRIDS, mapping dynamic changes in soil moisture and depth of water table from 1970 to 2014. Scientific Data. 8(1):. https://doi.org/10.1038/s41597-021-01032-4 | Soil Moisture Profiles and Temperature Data from SoilSCAPE Sites, USA |
2021 | O., S. and R. Orth. 2021. Global soil moisture data derived through machine learning trained with in-situ measurements. Scientific Data. 8(1):. https://doi.org/10.1038/s41597-021-00964-1 | Soil Moisture Profiles and Temperature Data from SoilSCAPE Sites, USA |
2020 | Zhang, Y. and S. Liang. 2020. Fusion of Multiple Gridded Biomass Datasets for Generating a Global Forest Aboveground Biomass Map. Remote Sensing. 12(16):2559. https://doi.org/10.3390/RS12162559 | Forest Structure and Biomass Data, La Selva, Costa Rica: 2006 |
2019 | Reichle, R.H., Q. Liu, R.D. Koster, W.T. Crow, G.J.M. De Lannoy, J.S. Kimball, J.V. Ardizzone, D. Bosch, A. Colliander, M. Cosh, J. Kolassa, S.P. Mahanama, J. Prueger, P. Starks, and J.P. Walker. 2019. Version 4 of the SMAP Level-4 Soil Moisture Algorithm and Data Product. Journal of Advances in Modeling Earth Systems. 11(10):3106-3130. https://doi.org/10.1029/2019MS001729 | Soil Moisture Profiles and Temperature Data from SoilSCAPE Sites, USA |
2018 | Alemohammad, S.H., J. Kolassa, C. Prigent, F. Aires, and P. Gentine. 2018. Global Downscaling of Remotely-Sensed Soil Moisture using Neural Networks. Hydrology and Earth System Sciences Discussions. 1-19. https://doi.org/10.5194/hess-2017-680 | Soil Moisture Profiles and Temperature Data from SoilSCAPE Sites, USA |
2018 | Kolassa, J., R.H. Reichle, Q. Liu, S.H. Alemohammad, P. Gentine, K. Aida, J. Asanuma, S. Bircher, T. Caldwell, A. Colliander, M. Cosh, C. Holifield Collins, T.J. Jackson, J. Martinez-Fernandez, H. McNairn, A. Pacheco, M. Thibeault, and J.P. Walker. 2018. Estimating surface soil moisture from SMAP observations using a Neural Network technique. Remote Sensing of Environment. 204:43-59. https://doi.org/10.1016/j.rse.2017.10.045 | Soil Moisture Profiles and Temperature Data from SoilSCAPE Sites, USA |
2017 | Clewley, D., J.B. Whitcomb, R. Akbar, A.R. Silva, A. Berg, J.R. Adams, T. Caldwell, D. Entekhabi, and M. Moghaddam. 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 | Soil Moisture Profiles and Temperature Data from SoilSCAPE Sites, USA |
2016 | Carroll, M.L., M.E. Brown, M.R. Wooten, J.E. Donham, A.B. Hubbard, and W.B. Ridenhour. 2016. In situ air temperature and humidity measurements over diverse land covers in Greenbelt, Maryland, November 2013-November 2015. Earth System Science Data. 8(2):415-423. https://doi.org/10.5194/essd-8-415-2016 | In-situ Air Temperature and Relative Humidity in Greenbelt, MD, 2013-2015 |
2016 | Khwairakpam Amitab, , Debdatta Kandar, and A.K. 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 | SAR Subsets for Selected Field Sites, 2007-2010 |
2016 | Wang, Y., G. Li, J. Ding, Z. Guo, S. Tang, C. Wang, Q. Huang, R. Liu, and J.M. Chen. 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 | Forest Structure and Biomass Data, La Selva, Costa Rica: 2006 |
2014 | Dongdong Wang, and Shunlin Liang. 2014. Improving LAI Mapping by Integrating MODIS and CYCLOPES LAI Products Using Optimal Interpolation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(2):445-457. https://doi.org/10.1109/JSTARS.2013.2264870 | Leaf Area Index Maps at 30-m Resolution, Selected Sites, Canada |
2014 | Dongdong Wang, and Shunlin Liang. 2014. Improving LAI Mapping by Integrating MODIS and CYCLOPES LAI Products Using Optimal Interpolation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(2):445-457. https://doi.org/10.1109/JSTARS.2013.2264870 | Leaf Area Index Maps at 30-m Resolution, VALERI Site, Larose, Canada |
2014 | Gonsamo, A. and J.M. Chen. 2014. Improved LAI Algorithm Implementation to MODIS Data by Incorporating Background, Topography, and Foliage Clumping Information. IEEE Transactions on Geoscience and Remote Sensing. 52(2):1076-1088. https://doi.org/10.1109/TGRS.2013.2247405 | Leaf Area Index Maps at 30-m Resolution, Selected Sites, Canada |
2013 | Leonenko, G., S.O. Los, and P.R.J. North. 2013. Retrieval of leaf area index from MODIS surface reflectance by model inversion using different minimization criteria. Remote Sensing of Environment. 139:257-270. https://doi.org/10.1016/j.rse.2013.07.012 | Leaf Area Index Maps at 30-m Resolution, VALERI Site, Larose, Canada |
2008 | Ganguly, S., (2008). EARTH SYSTEM DATA RECORDS OF VEGETATION LEAF AREA INDEX FROM MULTIPLE SATELLITE-BORNE SENSORS. Geography and Environment, Doctor of Philosophy. | Leaf Area Index Maps at 30-m Resolution, Selected Sites, Canada |