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Research Project: Towards Resilient Agricultural Systems to Enhance Water Availability, Quality, and Other Ecosystem Services under Changing Climate and Land Use

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Title: Predicting shifts in soil carbon fractions associated with land management and terrain attributes using spectral reflectance data acquired with hyperspectral radiometry

Author
item Fortuna, Ann Marie
item Starks, Patrick
item Moriasi, Daniel

Submitted to: ASA-CSSA-SSSA Annual Meeting Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 7/12/2021
Publication Date: 5/3/2022
Citation: Fortuna, A., Starks, P.J., Moriasi, D.N. 2022. Predicting shifts in soil carbon fractions associated with land management and terrain attributes using spectral reflectance data acquired with hyperspectral radiometry. ASA-CSSA-SSSA Annual Meeting Abstracts. 152.1 v6.

Interpretive Summary: Abstract only.

Technical Abstract: Uniform zones of management representing variable characteristics affecting production within larger watersheds are being used to codify the collection of soil edaphic properties that include baseline soil health data at variable scales (field ha, farm 10 ha, watershed 100 ha) within watersheds, managed as diversified adaptive crop livestock system. Replicate sampling zones within each landscape position by watershed are being used to capture catena effects, slopes and aspects. The use of radiometry reduces the number of soil samples required and expense to monitor the effects of land use with the aim of determining the impact of conservation and land management practices on edaphic properties. Previously, our group successfully deployed a research grade, field spectrometer as a benchtop system to correlate soil constituents to hyperspectral diffuse reflectance over the 350-2500 nm wavelength range. Our current research extends this preceding research focusing on the 400-1000 nm region of the electromagnetic spectrum that enables us to deploy less expensive, miniaturized, field spectrometers that allow minimal sample preparation. Our data confirms that good to satisfactory prediction equations for edaphic properties can be developed from spectral reflectance data within the 400-1000 nm wavelength region obtained using relatively inexpensive field radiometers. The use of such technology will enable development of and participation in the Long-Term Agriculture Research (LTAR) network and Conservation Effects Assessment Project (CEAP) cross-site collaborations dealing with soil health and carbon sequestration, as well as participating in programming such as Natural Research Conservation Service (NRCS) Edge of Field (EoF) monitoring.