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Yi Peng

Mapping SOC in a river catchment by integrating laboratory spectra wavelength with remote sensing spectra

Research output: Contribution to conferenceConference abstract for conferenceResearch

  • Yi Peng
  • Xiong Xiong, Department of Soil and Water Science, University of Florida, Gainesville, FL 32611, USA , United States
  • Maria Knadel
  • Sabine Grunwald, United States
There is potential to use soil ·-proximal and remote sensing derived spectra concomitantly to develop soil organic carbon (SOC) models. Yet mixing spectral data from different sources and technologies to improve soil models is still in its infancy. The objective of this study was to incorporate soil spectral features indicative of SOC from laboratory visible near-infrared reflectance (vis-NlR) spectra and incorporate them with remote sensing (RS) images to improve predictions of top SOC in the Skjem river catchment, Denmark. The secondary objective was to improve prediction results by separately calibrating samples from upland and wetland. We hypbthesize that final prediction accuracy is significantly improved by incorporatin1 laboratory vis-NlR images upscaled from point-based spectra to catchment scale and RS data for topsoil SOC spatial modeling.
Original languageEnglish
Publication year2015
Number of pages2
Publication statusPublished - 2015
Event4th Global Workshop on Proximal Soil Sensing - Hanghzou, China
Duration: 12 May 201515 May 2015

Conference

Conference4th Global Workshop on Proximal Soil Sensing
CountryChina
CityHanghzou
Period12/05/201515/05/2015

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