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Webinar : NASA Worldview—Explore the Earth from Past to Present with Global Satellite Observations

Webinar : NASA Worldview—Explore the Earth from Past to Present with Global Satellite Observations

Tuesday, May 18, 2021 2:00:00 PM EDT - 3:00:00 PM EDT

In this webinar you will learn how to use NASA’s Worldview, an imagery mapping and visualization tool that provides access to over 900 data imagery layers, many of which are available within hours, even minutes, to explore Earth’s interconnected processes and events.

Gao, X., Gray, J. M., & Reich, B. J. (2021). Long-term, medium spatial resolution annual land surface phenology with a Bayesian hierarchical model. Remote Sensing of Environment, 261, 112484. https://doi.org/10.1016/j.rse.2021.112484

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Xi, X. (2021). Revisiting the recent dust trends and climate drivers using horizontal visibility and present weather observations. Journal of Geophysical Research: Atmospheres, 126(9), e2021JD034687. https://doi.org/10.1029/2021JD034687

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GLOBE Observer and the GO on a Trail Data Challenge: A Citizen Science Approach to Generating a Global Land Cover Land Use Reference Dataset.

GLOBE Observer and the GO on a Trail Data Challenge: A Citizen Science Approach to Generating a Global Land Cover Land Use Reference Dataset.

GLOBE Observer is part of the GLOBE Program, which is active in thousands of schools across the world, citizen scientists are strengthening science education by providing data for student research. 

Kohl, H. A., Nelson, P. V., Pring, J., Weaver, K. L., Wiley, D. M., Danielson, A. B., Cooper, R. M., Mortimer, H., Overoye, D., Burdick, A., Taylor, S., Haley, M., Haley, S., Lange, J., & Lindblad, M. E. (2021). GLOBE Observer and the GO on a Trail Data Challenge: A Citizen Science Approach to Generating a Global Land Cover Land Use Reference Dataset. Frontiers in Climate, 3, 620497. https://doi.org/10.3389/fclim.2021.620497

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Gao, X.J., Gray, J., Coors, CW, Cook, R., Albaugh T.J., Longer greenup periods associated with greater wood volume growth in managed pine stands, Agricultural and Forest Meteorology, 297, DOI: 10.1016/j.agrformet.2020.108237

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Jönsson, P., Cai, Z., Melaas, E., Friedl, M.A., and L. Eklundh (2018), A method for robust estimation of vegetation seasonality from Landsat and Sentinel-2 time series data, Remote Sensing, 10(4), 635; doi:10.3390/rs10040635

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Stanimirova, R., Cai, Z., Melaas, E.K., Gray, J.M., Eklundh, L., Jonsson, P. and M.A. Friedl (2019). An Empirical Assessment of the MODIS Land Cover Dynamics and TIMESAT Land Surface Phenology Algorithms, Remote Sensing, 11(19), 2201, https://doi.org/10.3390/rs11192201

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