Remote Sensing Supported Digital Soil Mapping in South Florida (Water Conservation Areas, Everglades)
Sabine Grunwald, Soil and Water Science Department, University of Florida
(1) Develop models to predict various types of soil properties: (i) soil taxonomic classes; (ii) soil morphological properties; and (iv) physico-chemical soil properties.
(2) Assess the usefulness to incorporate remote sensing imagery into soil prediction models.
(3) Develop a tutorial for remote-sensing supported digital soil mapping that enables transfer of the methods to other soil survey regions.
Tutorial for Remote-sensing Supported Digital Soil Mapping (pdf)
Kim J., N.M. Knox, and S. Grunwald. 2011. Remote-sensing supported soil mapping in Florida. Florida Cooperative Soil Survey Work Planning Conference. Natural Resources Conservation Service, Gainesville, FL, June 29, 2011.
Kim J., S. Grunwald, T.Z. Osborne, and R. Robins. 2011. Remote-sensing supported digital soil mapping in south Florida. National Soil Survey Cooperative Meeting, Asheville, NC, May 22-25, 2011.
Kim J., S. Grunwald, T.Z. Osborne and R.G. Rivero. 2010. Multi-scale Modeling of Biogeochemical Soil Properties using Remote Sensing. GISDay @ the University of Florida, Gainesville, Nov. 17, 2010. (1st place poster award).
Kim J., S. Grunwald, T.Z. Osborne and R.G. Rivero. 2010. Multi-scale Modeling of Biogeochemical Soil Properties using Remote Sensing. ASA-CSSA-SSSA Meeting, Long Beach, CA, Oct. 31- Nov. 4. (pdf - poster)
Kim J., S. Grunwald, T.Z. Osborne and R.G. Rivero. 2010. Multi-scale modeling of soil series using remote sensing. Soil and Water Science Research Forum, Gainesville, FL, Sept. 10, 2010.