PPT-Assessing In-Field Soil Moisture Variability Using the Decision Support System for Agrotechnology

B Hodges JO Paz ML Tagert and Q Meng 2020 Tri Societies Annual Meeting November 9 13 2020 Irrigation in southeastern states has been increasing from 20022017 with Mississippi having the third largest number of irrigated hectares of all MidSouth and Southeastern states . R. Bindlish, T. Jackson, M. Cosh. November 2014. Overview. Soil moisture algorithm. Soil moisture product. Validation. Linkage between Soil Moisture and SSS. Aquarius Soil Moisture Algorithm. The baseline soil moisture algorithm uses the . “Water Indicators”. Hiroko Beaudoing. Jordan Borak. Mike Jasinski. Sujay Kumar. Bailing Li. Yuqiong Liu. David Mocko. Matthew Rodell. Meeting w/Dr. Allison Leidner. NASA GSFC. Sept 23, 2014. NCA-LDAS. Colin Pettinati. Winter Ecology . Mountain Research Station 2014. University of Colorado, Boulder. Factors Controlling soil pH. Parent Material. Precipitation (moisture). Native Vegetation. Crops grown. Properties . on Convective Initiation in the Sahel. Amanda . Gounou. (1). , Christopher Taylor. (2) . , Francoise . Guichard. (1). , Phil Harris. (2) . , Richard Ellis. (2). , Fleur . Couvreux. (1). and Martin De . Russell Yost. 1. , . Tasnee. Attanandana. 2. , . Prateep. Verapattananirund. 3. , . Sahaschai. Kongton. 4. , . Roongroj. Pitukdantham. 2. 1. University of Hawai`i at . Manoa. 2. Kasetsart University, Bangkok, Thailand. Rev: . Feb, 2012. Euiho. (David) . Suh. , Ph.D.. POSTECH Strategic Management of Information and Technology Laboratory. (POSMIT: http://posmit.postech.ac.kr). Dept. of Industrial & Management Engineering. PI: Cecilia Hidalgo (UBA) . . proyectoiai.serv.climaticos@gmail.com. http://serviciosclimaticos.blogspot.com.ar. /. Presentation. . made. . by. Hugo Berbery and . Julian. . Baez. 1. C. limate. . Engr. . Mamoon. . Kareem. Department of Civil Engineering. Swedish College. Of Engg & Tech Wah Cantt.. Lecture . # 3,4. Chapter # 1. Introduction to Soil . Mechanics. . (Part 2). Introduction to . 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, . 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. from . combined LST, SM, precipitation observations. Y. Zhao. , . F. . Cheruy. LMD/IPSL. . LST_cci. User Workshop . 2020.  . 24-26 . June 2020  . Can we use combined LST, SM, PRECIP data to detect the contribution of soil thermal inertia which is strongly dependent on soil moisture to daily variations in nighttime minimum temperature?. 2. Wolfgang Schöner, . 3. Günter . Blöschl. 1. Central Institute . for. . Meteorology. . and. . Geodynamics. (ZAMG), . Climate. Research Department. 2. University . of. Graz, . Department of Geography and Regional . 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 .