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• 1. [Article] Water and bottom properties of a coastal environment derived from Hyperion data measured from the EO-1 spacecraft platform

  To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work. This is the publisher’s final pdf. The published article is copyrighted by Society ...

  Citation × Citation Citation Abstract Copy Title: Water and bottom properties of a coastal environment derived from Hyperion data measured from the EO-1 spacecraft platform Author: Parsons, Rost, Arnone, Robert, Gao, Bo-Cai, Davis, Curtiss O., Lee, ZhongPing, Dye, Julie, Casey, Brandon, Weidemann, Alan, Goode, Wesley, Montes, Marcos J. To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work. This is the publisher’s final pdf. The published article is copyrighted by Society of Photo-Optical Instrumentation Engineers and can be found at: http://spie.org/. Title: Water and bottom properties of a coastal environment derived from Hyperion data measured from the EO-1 spacecraft platform Author: Parsons, Rost, Arnone, Robert, Gao, Bo-Cai, Davis, Curtiss O., Lee, ZhongPing, Dye, Julie, Casey, Brandon, Weidemann, Alan, Goode, Wesley, Montes, Marcos J. To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work. This is the publisher’s final pdf. The published article is copyrighted by Society of Photo-Optical Instrumentation Engineers and can be found at: http://spie.org/. Close

• 2. [Article] Remote-sensing and geographic information system techniques to map spatial variation of wheat grain yield

  Farmers and researchers are aware of spatial variation in grain yield within farms or fields. Fertilizer management may be improved if techniques can be developed to identify grain yield variations in ...

  Citation × Citation Citation Abstract Copy Title: Remote-sensing and geographic information system techniques to map spatial variation of wheat grain yield Author: Roberts, Michael C. (Michael Coy), 1951- Farmers and researchers are aware of spatial variation in grain yield within farms or fields. Fertilizer management may be improved if techniques can be developed to identify grain yield variations in wheat fields. Aerial color infrared (CIR) photography was used to identify winter wheat (Triticum aestivum L.) canopy biomass variability in the Spring of the growing season. Low yielding areas identified from CIR photography were associated with shallow soil profiles consistent with soil forming factors of the region, and were significantly different from average and high yielding areas. The high yielding areas were located within a few meters of a drainage way, and were not significantly different than the average yielding areas except in one field with a deep soil profile and low variance. Fields with heterogeneous CIR photographs had high variances because of many dissimilar inclusions. CIR photography, although useful to distinguish vegetational differences, requires complex timing, ground verification, and correction to estimate yield variability. A geographic information system (GIS) was used to overlay photo interpreted biomass and soil map units. The overlay analysis allowed construction of a higher (first) order soil map indicating inclusions. Area calculation of the inclusions and map units using a GIS function combined with estimated yield (no variance estimates or confidence intervals associated with the estimated yield) data suggests fertilizer management with a first order soil map to increase fertilizer efficiency by up to six percent. Future research combining remotely-sensed subsidiary variables correlated with moisture supply capacity estimates from soil survey methods may assess, using relatively new spatially dependent interpolation methods, the local and regional variation in wheat grain yield. Title: Remote-sensing and geographic information system techniques to map spatial variation of wheat grain yield Author: Roberts, Michael C. (Michael Coy), 1951- Farmers and researchers are aware of spatial variation in grain yield within farms or fields. Fertilizer management may be improved if techniques can be developed to identify grain yield variations in wheat fields. Aerial color infrared (CIR) photography was used to identify winter wheat (Triticum aestivum L.) canopy biomass variability in the Spring of the growing season. Low yielding areas identified from CIR photography were associated with shallow soil profiles consistent with soil forming factors of the region, and were significantly different from average and high yielding areas. The high yielding areas were located within a few meters of a drainage way, and were not significantly different than the average yielding areas except in one field with a deep soil profile and low variance. Fields with heterogeneous CIR photographs had high variances because of many dissimilar inclusions. CIR photography, although useful to distinguish vegetational differences, requires complex timing, ground verification, and correction to estimate yield variability. A geographic information system (GIS) was used to overlay photo interpreted biomass and soil map units. The overlay analysis allowed construction of a higher (first) order soil map indicating inclusions. Area calculation of the inclusions and map units using a GIS function combined with estimated yield (no variance estimates or confidence intervals associated with the estimated yield) data suggests fertilizer management with a first order soil map to increase fertilizer efficiency by up to six percent. Future research combining remotely-sensed subsidiary variables correlated with moisture supply capacity estimates from soil survey methods may assess, using relatively new spatially dependent interpolation methods, the local and regional variation in wheat grain yield. Close