PPT-The detection of irrigation through remote sensing soil moisture and a land surface model:
Author : PeacefulPassion | Published Date : 2022-08-04
Jacopo Dari 1 Pere Quintana Seguí 2 Maria José Escorihuela 3 Luca Brocca 4 Renato Morbidelli 1 and Vivien Stefan 3 1 University of Perugia
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The detection of irrigation through remote sensing soil moisture and a land surface model:: Transcript
Jacopo Dari 1 Pere Quintana Seguí 2 Maria José Escorihuela 3 Luca Brocca 4 Renato Morbidelli 1 and Vivien Stefan 3 1 University of Perugia . Integrating land-surface . models with observations. By: Ben . Livneh. Overview. Background: significance of large-scale land surface modeling. Past and ongoing . projects. Importance of . linking models . Eric Russell. 4/9/2010. Agron. 577: Soil Physics. Conductivity, Heat Capacity, and Electromagnetics! OH MY!. Outline. What is remote sensing?. Microwave remote sensing. Very basic electromagnetics. Blackbody radiation, Wien’s law, Stefan-Boltzmann law, brightness temperature. Tony Oakes, Rubicon Water. April 9 2014. Surface . Irrigation. Dependant. Benefits. Unimproved . surface . i. rrigation. Improved . surface . i. rrigation. On-farm Modernisation Alternatives. High-performance . Francisco Chavez, M. Messie. Monterey Bay Aquarium Research Institute. F. Chai (U of Maine), Y. Chao (NASA/JPL), . David Foley (NOAA/NMFS), R. Guevara, M. Niquen (IMARPE) and R.T. Barber (Duke). Approach. Unit: Soil Science Lesson . 6. Objectives. Define: irrigation water management, available water capacity, percent available, soil moisture deficit, in/. ft. depleted. Explain the significance of irrigation water management. Soil Moisture Monitoring. Steve A. Miller. Biosystems. and Agricultural Engineering. Michigan State University. mill1229@msu.edu. http://www.egr.msu.edu/bae/water/. Irrigation Scheduling. Process of maintaining an optimum water balance in the soil profile for crop growth and production. Merge . Precipitation Products for . Land . Surface Modeling. Abheera. . Hazra. Department of Civil, Infrastructure and Environmental Engineering. Viviana Maggioni. Department of Civil. , . Environmental . John Bolten. NASA Goddard Space Flight Center . Thanks:. . Xiwu Zhan . (NOAA NESDIS), . Curt Reynolds . (USDA FAS), . Christa Peters-Lidard . (NASA GSFC), . John . Eylander. . (AFWA) and . Sujay Kumar . John Bolten. NASA Goddard Space Flight Center . Thanks:. . Xiwu Zhan . (NOAA NESDIS), . Curt Reynolds . (USDA FAS), . Christa Peters-Lidard . (NASA GSFC), . John . Eylander. . (AFWA) and . Sujay Kumar . Course Objectives. To expose students to a broad spectrum of satellite remote sensing methods to derive geophysical parameters of interest. To provide students with the understanding necessary to distinguish between algorithm fundamentals and nuanced implementation details. B. Hodges, J.O. Paz, M.L. Tagert, and Q. Meng. 2020 . Tri . Societies Annual Meeting. November 9 - 13, 2020. Irrigation in southeastern states has been increasing from 2002-2017, with Mississippi having the third largest number of irrigated hectares of all Mid-South and Southeastern states. . Sponsored by the NASA Climate Indicators and Data Products for Future Climate Assessment Program. Kenneth Tobin (TAMIU). Wade Crow . and Jianzhi Dong (USDA ARS). William Teng (NASA GSFC/ADNET Systems Inc.. Rolf Reichle. 1. , Gabrielle DeLannoy. 1,2. , and . Wade Crow. 3. 1. NASA Goddard Space Flight Center Global Model and Assimilation Office. 2 . University of Louvain, Louvain, Belgium. 3. USDA ARS Hydrology and Remote Sensing Lab. Wolfgang Wagner. Department of Geodesy and . Geoinformation. (GEO). Vienna University of Technology (TU Wien). http://www.geo.tuwien.ac.at/. Active and Passive . Microwave . Remote Sensing. Passive microwave sensors record .
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