Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...

Feasibility of soil moisture estimation using passive distributed temperature sensing


Authors:
Owners: This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource.
Type: Resource
Storage: The size of this resource is 623.2 KB
Created: Apr 01, 2018 at 7:08 p.m.
Last updated: Apr 09, 2018 at 6:07 p.m.
Citation: See how to cite this resource
Sharing Status: Public
Views: 2064
Downloads: 46
+1 Votes: Be the first one to 
 this.
Comments: 2 comments

Abstract

Through its role in the energy and water balances at the land surface, soil moisture is a key state variable in surface hydrology and land‐atmosphere interactions. Point observations of soil moisture are easy to make using established methods such as time domain reflectometry and gravimetric sampling. However, monitoring large‐scale variability with these techniques is logistically and economically infeasible. Here passive soil distributed temperature sensing (DTS) will be introduced as an experimental method of measuring soil moisture on the basis of DTS. Several fiber‐optic cables in a vertical profile are used as thermal sensors, measuring propagation of temperature changes due to the diurnal cycle. Current technology allows these cables to be in excess of 10 km in length, and DTS equipment allows measurement of temperatures every 1 m. The passive soil DTS concept is based on the fact that soil moisture influences soil thermal properties. Therefore, observing temperature dynamics can yield information on changes in soil moisture content. Results from this preliminary study demonstrate that passive soil DTS can detect changes in thermal properties. Deriving soil moisture is complicated by the uncertainty and nonuniqueness in the relationship between thermal conductivity and soil moisture. A numerical simulation indicates that the accuracy could be improved if the depth of the cables was known with greater certainty.

Raw project data is available by contacting ctemps@unr.edu

Subject Keywords

Content

How to Cite

Steele-Dunn, S. C. (2018). Feasibility of soil moisture estimation using passive distributed temperature sensing, HydroShare, http://www.hydroshare.org/resource/ad3d4c67b58a452b98ac9a600b00e454

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

Comments

CTEMPs OSU-UNR 6 years, 8 months ago

Raw project data is available by contacting ctemps@unr.edu

Reply
+1 Votes: Be the first one to 
 this.

CTEMPs OSU-UNR 6 years, 8 months ago

Raw project data is available by contacting ctemps@unr.edu

Reply
+1 Votes: Be the first one to 
 this.

New Comment

required