scholarly journals Sensor calibration and characterization to meet climate monitoring requirements

2014 ◽  
Author(s):  
Catherine C. Cooksey ◽  
Gerald T. Fraser ◽  
Howard W. Yoon
Keyword(s):  
Sensor Calibration ◽  
Climate Monitoring

scholarly journals Inter-comparison and evaluation of sea ice algorithms: towards further identification of challenges and optimal approach using passive microwave observations

2015 ◽  
Vol 9 (5) ◽  
pp. 1797-1817 ◽  
Author(s):  
N. Ivanova ◽  
L. T. Pedersen ◽  
R. T. Tonboe ◽  
S. Kern ◽  
G. Heygster ◽  
...  
Keyword(s):  
Sea Ice ◽  
Atmospheric Correction ◽  
Hybrid Approach ◽  
Sensor Calibration ◽  
Polar Regions ◽  
Sea Ice Concentration ◽  
Validation Data ◽  
Error Sources ◽  
Climate Monitoring ◽  
Ice Concentration

Abstract. Sea ice concentration has been retrieved in polar regions with satellite microwave radiometers for over 30 years. However, the question remains as to what is an optimal sea ice concentration retrieval method for climate monitoring. This paper presents some of the key results of an extensive algorithm inter-comparison and evaluation experiment. The skills of 30 sea ice algorithms were evaluated systematically over low and high sea ice concentrations. Evaluation criteria included standard deviation relative to independent validation data, performance in the presence of thin ice and melt ponds, and sensitivity to error sources with seasonal to inter-annual variations and potential climatic trends, such as atmospheric water vapour and water-surface roughening by wind. A selection of 13 algorithms is shown in the article to demonstrate the results. Based on the findings, a hybrid approach is suggested to retrieve sea ice concentration globally for climate monitoring purposes. This approach consists of a combination of two algorithms plus dynamic tie points implementation and atmospheric correction of input brightness temperatures. The method minimizes inter-sensor calibration discrepancies and sensitivity to the mentioned error sources.

scholarly journals Satellite passive microwave measurements of sea ice concentration: an optimal algorithm and challenges

2015 ◽  
Vol 9 (1) ◽  
pp. 1269-1313 ◽  
Author(s):  
N. Ivanova ◽  
L. T. Pedersen ◽  
R. T. Tonboe ◽  
S. Kern ◽  
G. Heygster ◽  
...  
Keyword(s):  
Sea Ice ◽  
Optimal Algorithm ◽  
Atmospheric Correction ◽  
Sensor Calibration ◽  
Optimal Method ◽  
Sea Ice Concentration ◽  
Climate Monitoring ◽  
Validation Experiment ◽  
Ice Concentration ◽  
Optimal Approach

Abstract. Sea ice concentration has been measured globally with satellite microwave radiometers for over 30 years. However there is still a need for better understanding of corresponding challenges and consequently identifying an optimal method for sea ice concentration retrieval suitable for climate monitoring. The method should minimize inter-sensor calibration discrepancies and sensitivity to error sources with climatic trends (e.g. atmospheric water vapour and water surface roughening by wind). This article presents the results of an extensive algorithm inter-comparison and validation experiment. Thirty sea ice algorithms entered the experiment where their skills were evaluated over low and high sea ice concentrations, thin ice and areas covered by melt ponds. In addition, atmospheric correction of input brightness temperatures and dynamic tie-points approach were suggested. A selection of thirteen algorithms is shown in the article to demonstrate the results. Based on the findings, an optimal approach was suggested to retrieve sea ice concentration globally for climate monitoring purposes.

Thermal sensor calibration using non-integer system identification

2008 ◽  
Vol 42 (6-8) ◽  
pp. 953-964
Author(s):  
Stefan Löhle ◽  
Jean-Luc Battaglia ◽  
Jean-Christophe Batsale
Keyword(s):  
System Identification ◽  
Sensor Calibration ◽  
Thermal Sensor

Partition Beetles Antennae Search Algorithm for Magnetic Sensor Calibration Optimization

2020 ◽  
pp. 1-1
Author(s):  
Xiangang Li ◽  
Shenggang Yan ◽  
Jianguo Liu ◽  
Yang Sun ◽  
Youyu Yan
Keyword(s):  
Search Algorithm ◽  
Magnetic Sensor ◽  
Sensor Calibration

Automated Climate Monitoring System: the Case of Greenhouse Industries in Ethiopia

2021 ◽  
pp. 100426
Author(s):  
Dawit Teklu Weldeslasie ◽  
Gebremariam Assres ◽  
Tor-Morten Grønli ◽  
Gheorghita Ghinea
Keyword(s):  
Monitoring System ◽  
Climate Monitoring

scholarly journals A Systematic Approach to the Design and Characterization of a Smart Insole for Detecting Vertical Ground Reaction Force (vGRF) in Gait Analysis

Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 957 ◽  
Author(s):  
Anas M. Tahir ◽  
Muhammad E. H. Chowdhury ◽  
Amith Khandakar ◽  
Sara Al-Hamouz ◽  
Merna Abdalla ◽  
...  
Keyword(s):  
Gait Analysis ◽  
Reaction Force ◽  
Applied Pressure ◽  
Pressure Sensors ◽  
Clinical Diagnostics ◽  
Piezoelectric Sensors ◽  
Sensor Calibration ◽  
Vertical Ground Reaction Force ◽  
Vertical Ground ◽  
Smart Insole

Gait analysis is a systematic study of human locomotion, which can be utilized in various applications, such as rehabilitation, clinical diagnostics and sports activities. The various limitations such as cost, non-portability, long setup time, post-processing time etc., of the current gait analysis techniques have made them unfeasible for individual use. This led to an increase in research interest in developing smart insoles where wearable sensors can be employed to detect vertical ground reaction forces (vGRF) and other gait variables. Smart insoles are flexible, portable and comfortable for gait analysis, and can monitor plantar pressure frequently through embedded sensors that convert the applied pressure to an electrical signal that can be displayed and analyzed further. Several research teams are still working to improve the insoles’ features such as size, sensitivity of insoles sensors, durability, and the intelligence of insoles to monitor and control subjects’ gait by detecting various complications providing recommendation to enhance walking performance. Even though systematic sensor calibration approaches have been followed by different teams to calibrate insoles’ sensor, expensive calibration devices were used for calibration such as universal testing machines or infrared motion capture cameras equipped in motion analysis labs. This paper provides a systematic design and characterization procedure for three different pressure sensors: force-sensitive resistors (FSRs), ceramic piezoelectric sensors, and flexible piezoelectric sensors that can be used for detecting vGRF using a smart insole. A simple calibration method based on a load cell is presented as an alternative to the expensive calibration techniques. In addition, to evaluate the performance of the different sensors as a component for the smart insole, the acquired vGRF from different insoles were used to compare them. The results showed that the FSR is the most effective sensor among the three sensors for smart insole applications, whereas the piezoelectric sensors can be utilized in detecting the start and end of the gait cycle. This study will be useful for any research group in replicating the design of a customized smart insole for gait analysis.

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