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Update citations.txt TUW-GEO#44
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daberer committed Oct 18, 2022
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Expand Up @@ -91,6 +91,8 @@ SNOTEL;Leavesley, G., David, O., Garen, D., Lea, J., Marron, J., Pagano, T., Per
SOILSCAPE;Moghaddam, M., D. Entekhabi, Y. Goykhman, K. Li, M. Liu, A. Mahajan, A. Nayyar, D. Shuman, and D. Teneketzis, A wireless soil moisture smart sensor web using physics-based optimal control: concept and initial demonstration IEEE-JSTARS, , vol. 3, no. 4, pp. 522-535, December 2010
SOILSCAPE;Moghaddam, M., A.R. Silva, D. Clewley, R. Akbar, S.A. Hussaini, J. Whitcomb, R. Devarakonda, R. Shrestha, R.B. Cook, G. Prakash, S.K. Santhana Vannan, and A.G. Boyer. 2016. Soil Moisture Profiles and Temperature Data from SoilSCAPE Sites, USA. ORNL DAAC, Oak Ridge, Tennessee, USA. http://dx.doi.org/10.3334/ORNLDAAC/1339
SOILSCAPE;Shuman, D. I., Nayyar, A., Mahajan, A., Goykhman, Y., Li, K., Liu, M., Teneketzis, D., Moghaddam, M. & Entekhabi, D. (2010), ‘Measurement scheduling for soil moisture sensing: From physical models to optimal control’, Proceedings of the IEEE 98(11), 1918–1933.
STEMS;Darouich, H., Ramos, T.B., Pereira, L.S., Rabino, D., Bagagiolo, G., Capello, G., Simionesei, L., Cavallo, E., Biddoccu, M. Water Use and Soil Water Balance of Mediterranean Vineyards under Rainfed and Drip Irrigation Management: Evapotranspiration Partition and Soil Management Modelling for Resource Conservation. Water 2022, 14, 554. https://doi.org/10.3390/w14040554
STEMS;Capello G, Biddoccu M, Ferraris S, Cavallo E, 2019. Effects of tractor passes on hydrological and soil erosion processes in tilled and grassed vineyards. Water 2019, 11(10), 2118, https://doi.org/10.3390/w11102118
SWEX_POLAND;W. Marczewski, J. Slominski, E. Slominska, B. Usowicz, J. Usowicz, S. Romanov, O. Maryskevych, J. Nastula, and J. Zawadzki, 2010: Strategies for validating and directions for employing SMOS data, in the Cal-Val project SWEX (3275) for wetlands, Hydrol. Earth Syst. Sci. Discuss., 7, 7007–7057
SW-WHU;Chen, N., Zhang,X., Wang, C.,2015. Integrated Open Geospatial Web Service enabled Cyber-physical Information Infrastructure for Precision Agriculture Monitoring. Computers and Electronics in Agriculture.111,78–91. doi:10.1016/j.compag.2014.12.009
SW-WHU;Chen, N., Xiao, C., Pu, F., Wang, Z., Wang, C., Gong, J. 2015. Cyber-Physical Geographical Information Service-Enabled Control of Diverse In-situ Sensors. Sensors. 15(2), 2565-2592. doi: 10.3390/s150202565
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