Modeling Dissolved Organic Carbon (DOC) in Subalpine and Alpine Lakes With GIS and Remote Sensing

Now showing item 1 of 1

Title:	Modeling Dissolved Organic Carbon (DOC) in Subalpine and Alpine Lakes With GIS and Remote Sensing
Author:	Winn, Neil Thomas
Description:	We use remote sensing and geographic information system (GIS) tools to develop simple predictive models to define relationships between watershed variables known to influence lake DOC concentrations and lake water color in the Absaroka-Beartooth Wilderness in Montana and Wyoming, USA. Variables examined include watershed area, topography, and vegetation cover. The resulting GIS model predicts DOC concentrations at the lake watershed scale with a high degree of accuracy (R2 = 0.92; p = <0.001) by including only two variables: vegetation cover (representing sites of organic carbon fixation) and areas of low slope (0-5%) within the watershed (wetland sites of DOC production). Modeling with Advanced Land Imager satellite remote sensing data provided a somewhat weaker relationship between water color and DOC concentrations (R2 = 0.672; p = <0.001). We compare model predictions to each other to determine success of DOC modeling methods (R = 0.761; p = <0.001).
Permanent Link:	http://rave.ohiolink.edu/etdc/view?acc_num=miami1209058548 http://hdl.handle.net/2374.OX/18848
Date:	2008

Files in this item

Files	Size	Format	View
There are no files associated with this item.

Now showing item 1 of 1