Project Type: Graduate Student
Funds awarded in 2014: $9,992.00
Projected End Date: 07/31/2017
Grant Recipient:
University of Wisconsin - Madison
Region: North Central
State: Wisconsin
Graduate Student:
Faculty Advisor:
Dr. Francisco Arriaga
University of Wisconsin - Madison
Description:
This technical document outlines a multiple linear regression model to estimate albedo in agricultural landscapes from readily-accessible field data and digital imagery. By developing this model, albedo estimates, which are critical to winter energy balances and quantifying the drivers of runoff processes, are feasible for plot-scale studies in agricultural settings. Previously, the cost of instrumentation to directly measure albedo has been cost-prohibitive for much research.
Type:
Manual/Guide
File:
Download file (PDF)
Target audience:
Researchers
Ordering info:
Cost: $0.00
This product is associated with the project "Linking Nutrient Transport to Soil Physical Processes During Freeze/Thaw Events to Promote Wintertime Manure Management, Nutrient Use Efficiency, and Surface Water Quality"