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Retrieving 3D canopy structure from synergistic analysis of multi-angle and lidar data.

M. Schull, S. Ganguly, A. Samanta, J. Jenkins, Y. Knyazikhin, R. Myneni, and D. Huang. IGARSS, page 2833-2835. IEEE, (2007)

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On the relationship between nominal light use efficiency and leaf chlorophyll.M. Schull, M. Anderson, R. Houborg, and W. Kustas. IGARSS, page 7306-7308. IEEE, (2012)A global map of rainfed cropland areas (GMRCA) at the end of last millennium using remote sensing.C. Biradar, P. Thenkabail, P. Noojipady, Y. Li, V. Dheeravath, H. Turral, M. Velpuri, M. Gumma, O. Gangalakunta, X. Cai and 5 other author(s). Int. J. Applied Earth Observation and Geoinformation, 11 (2): 114-129 (2009)Physically based methodology for generating LAI and FPAR earth system data records from AVHRR and MODIS.S. Ganguly, M. Schull, A. Samanta, Y. Knyazikhin, N. Shabanov, R. Myneni, and D. Huang. IGARSS, page 3773-3776. IEEE, (2007)Retrieving 3D canopy structure from synergistic analysis of multi-angle and lidar data.M. Schull, S. Ganguly, A. Samanta, J. Jenkins, Y. Knyazikhin, R. Myneni, and D. Huang. IGARSS, page 2833-2835. IEEE, (2007)Monitoring water and carbon fluxes at fine spatial scales using HyspIRI-like measurements.R. Houborg, M. Anderson, F. Gao, M. Schull, and C. Cammalleri. IGARSS, page 7302-7305. IEEE, (2012)Evapotranspiration Data Product from NESDIS GET-D System Upgraded for GOES-16 ABI Observations.L. Fang, X. Zhan, M. Schull, S. Kalluri, I. Laszlo, P. Yu, C. Carter, C. Hain, and M. Anderson. Remote Sensing, 11 (22): 2639 (2019)Fusing microwave and optical satellite observations for high resolution soil moisture data products.X. Zhan, L. Fang, J. Liu, C. Hain, J. Yin, M. Schull, M. Cosh, J. Wen, T. Lakhankar, K. Yang and 1 other author(s). IGARSS, page 2519-2522. IEEE, (2017)Canopy vertical structure using MODIS Bidirectional Reflectance data.Z. Wang, C. Schaaf, P. Lewis, Y. Knyazikhin, M. Schull, A. Strahler, R. Myneni, and M. Chopping. WHISPERS, page 1-4. IEEE, (2010)Assessment of the NOAA S-NPP VIIRS Geolocation Reprocessing Improvements.W. Wang, C. Cao, Y. Bai, S. Blonski, and M. Schull. Remote Sensing, 9 (10): 974 (2017)An Assessment of the Impact of Land Thermal Infrared Observation on Regional Weather Forecasts Using Two Different Data Assimilation Approaches.L. Fang, X. Zhan, C. Hain, J. Yin, J. Liu, and M. Schull. Remote Sensing, 10 (4): 625 (2018)

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Retrieving 3D canopy structure from synergistic analysis of multi-angle and lidar data.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Retrieving 3D canopy structure from synergistic analysis of multi-angle and lidar data.

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Retrieving 3D canopy structure from synergistic analysis of multi-angle and lidar data.