Title :
Design of an optimum soil moisture monitoring network using SMOS
Author :
Kornelsen, Kurt C. ; Coulibaly, Paulin
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6947160
