In order to join virtual sessions, you must be registered and logged-in(Were you registered for the in-person meeting in Denver? if yes, just log in.) 
Note: All session times are in Mountain Daylight Time.

Factors affecting the uncertainty in remote sensing of Colored Dissolved Organic Matters in Inland Waters

Authors: Yong Tian*, Central Michigan University, Qian Yu, University of Massachusetts-Amherst, JiWei Li, Arizona State University
Topics: Remote Sensing, Water Resources and Hydrology, Coastal and Marine
Keywords: Colored dissolved organic carbon, remote sensing of wetland, freshwater quality
Session Type: Paper
Presentation File: No File Uploaded


Factors affecting the uncertainty in the estimation of dissolved organic carbon (DOC) concentration in inland waters from remote sensing data are still in need for more process-based understanding. This paper present results of examining several potential factors affecting the covariations of DOC and CDOM. The study is based the measurement of using controlled experiments combined with field samples at subbasin scale. The field observations consider varying environmental and biological conditions. Our analysis suggests that CDOM comprises a smaller fraction of the DOC pool in evergreen sites in comparison to agricultural and deciduous leaf litter leachates. Given the same DOC concentrations, the range of CDOM levels from deciduous forest plant varied 3 times greater than that from other plant types. Raising soil temperature by 5°C could double the range of DOC concentration and CDOM absorption for all scenarios. We present a mathematical model to estimate DOC concentration in freshwater environment via CDOM variations with reference to land cover and soil effects

Abstract Information

This abstract is already part of a session. View the session here.

To access contact information login