Design of an optimum soil moisture monitoring network using SMOS

Author

Kornelsen, Kurt C. ; Coulibaly, Paulin

fYear

2014

fDate

13-18 July 2014

Firstpage

3206

Lastpage

3209

Abstract

The monitoring of in situ soil moisture is an important task for hydro-climatic forecasting and the calibration/validation of satellite based soil moisture missions such as the Soil Moisture and Ocean Salinity (SMOS) mission. Many techniques have been explored to select a single site for a monitoring station that is representative of watershed characteristics. To objectively design an entire soil moisture monitoring network, this paper presents the dual-entropy multi-objective optimization (DEMO) system using soil moisture data retrieved from SMOS. The resulting optimal networks are created by maximizing the information content and minimizing the redundancy of information in each potential network.

Keywords

calibration; entropy; environmental monitoring (geophysics); hydrological techniques; hydrology; optimisation; remote sensing; soil; DEMO system; SMOS mission; Soil Moisture and Ocean Salinity mission; calibration; dual-entropy multiobjective optimization system; hydro-climatic forecasting; in situ soil moisture monitoring; information content maximization; information redundancy minimization; monitoring station; optimum soil moisture monitoring network; satellite based soil moisture mission validation; soil moisture data; watershed characteristics; Entropy; Lakes; Monitoring; Optimization; SMOS mission; Satellites; Information entropy; Soil Moisture and Ocean Salinity (SMOS); Soil moisture;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International

Conference_Location

Quebec City, QC

Type

conf

DOI

10.1109/IGARSS.2014.6947160

Filename

6947160