138 Scaling Soil Processes and Modeling: II (includes student competition)

Poster Session
SSSA Division: Pedology
A goal of pedology from the beginning has been the study of pedogenic processes and prediction at scales varying from point, horizon, pedon, hillslope, landscape, watershed, and beyond. The evolution of tools, methodologies and demands over the life of the pedology discipline has served as a catalyst for the emergence of new approaches such as pedometrics, digital soil mapping, and hydropedology. The common theme has been the quantification of pedogenic processes. The symposium is aimed at addressing challenges related to quantifying, modeling, and scaling of pedogenic processes necessary for the modeling and land use management communities.
Monday, November 3, 2014: 4:00 PM-6:00 PM
Long Beach Convention Center, Exhibit Hall ABC

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Organizer:
Zamir Libohova
Poster #917
Prediction of Adsorbed Phosphate, Clay and Iron Oxide Contents, Using Diffuse Reflectance Spectroscopy.
Livia Arantes Camargo, FCAV/UNESP, Campus de Jaboticabal; José Marques JR., FCAV/UNESP, Campus de Jaboticabal; Adrien Dorvalino Ferroni, FCAV/UNESP Jaboticabal; Vinicius Augusto Filla, FCAV / UNESP Jaboticabal
Poster #918
Iron Oxides in the Characterizing of Soil CO2 Emission.
José Marques JR., FCAV/UNESP, Campus de Jaboticabal; Angélica Santos Rabelo de Souza Bahia, FCAV/UNESP Jaboticabal; Livia Arantes Camargo, FCAV/UNESP, Campus de Jaboticabal; Newton La Scala Jr, Sao Paulo State University (FCAV/UNESP)
Poster #919
Mapping Soil Hydrologic Conditions Using Soil Survey, Environmental Data, and Spatial Disaggregation Techniques.
Maggie A Goldman, University of Maryland; Brian A. Needelman, University of Maryland
Poster #920
Digital Soil Mapping of the Willamette National Forest.
Kristopher Osterloh, Oregon State University
Poster #921
The Effects of Spatial Resolution on Digital Soil Attribute Mapping.
Jared M Shaffer, The Ohio State University; Brian Slater, Ohio State University
Poster #922
Digital Soil Mapping Using Geomorphon As a Predictive Terrain Attribute.
Helena Pinheiro, Purdue University; Phillip R. Owens, Purdue University; Lucia Helena Cunha dos Anjos, Universidade Federal Rural do Rio de Janeiro; Cesar da Silva Chagas, Embrapa Solos; Waldir de Carvalho Júnior, Embrapa Solos
Poster Presentation
  • ASA_PosterHelena_102614_JMAproedits_Rev.pdf (2.1 MB)