Bi-spectral infrared algorithm for cloud coverage over oceans by the jem-euso mission program

e-Archivo Repository

Show simple item record Santalices Martín, David María Briz Pacheco, Susana Castro González, Antonio Jesús de López Martínez, Fernando 2022-03-23T10:57:38Z 2022-03-23T10:57:38Z 2021-10-01
dc.identifier.bibliographicCitation Santalices, D., Briz, S., de Castro, A. J., & López, F. (2021). Bi-Spectral Infrared Algorithm for Cloud Coverage over Oceans by the JEM-EUSO Mission Program. Sensors, 21(19), 6506.
dc.identifier.issn 1424-8220
dc.description.abstract The need to monitor specific areas for different applications requires high spatial and temporal resolution. This need has led to the proliferation of ad hoc systems on board nanosatellites, drones, etc. These systems require low cost, low power consumption, and low weight. The work we present follows this trend. Specifically, this article evaluates a method to determine the cloud map from the images provided by a simple bi-spectral infrared camera within the framework of JEM-EUSO (The Joint Experiment Missions-Extrem Universe Space Observatory). This program involves different experiments whose aim is determining properties of Ultra-High Energy Cosmic Ray (UHECR) via the detection of atmospheric fluorescence light. Since some of those projects use UV instruments on board space platforms, they require knowledge of the cloudiness state in the FoV of the instrument. For that reason, some systems will include an infrared (IR) camera. This study presents a test to generate a binary cloudiness mask (CM) over the ocean, employing bi-spectral IR data. The database is created from Moderate-Resolution Imaging Spectroradiometer (MODIS) data (bands 31 and 32). The CM is based on a split-window algorithm. It uses an estimation of the brightness temperature calculated from a statistical study of an IR images database along with an ancillary sea surface temperature. This statistical procedure to obtain the estimate of the brightness temperature is one of the novel contributions of this work. The difference between the measured and estimation of the brightness temperature determines whether a pixel is cover or clear. That classification requires defining several thresholds which depend on the scenarios. The procedure for determining those thresholds is also novel. Then, the results of the algorithm are compared with the MODIS CM. The agreement is above 90%. The performance of the proposed CM is similar to that of other studies. The validation also shows that cloud edges concentrate the vast majority of discrepancies with the MODIS CM. The relatively high accuracy of the algorithm is a relevant result for the JEM-EUSO program. Further work will combine the proposed algorithm with complementary studies in the framework of JEM-EUSO to reinforce the CM above the cloud edges.
dc.description.sponsorship This research was funded by MADRID GOVERNMENT (Comunidad de Madrid;Spain), PEJ-2018-AI_TIC-11476 and by the SPANISH MINISTRY (MICINN), RTI2018-099825-B-C33. The APC was funded by the MADRID GOVERNMENT, EPUC3M14.
dc.format.extent 21
dc.language.iso eng
dc.publisher MDPI
dc.rights © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
dc.rights Atribución 3.0 España
dc.subject.other Cloud coverage
dc.subject.other Infrared camera
dc.subject.other Jem-euso
dc.subject.other Remote sensing
dc.subject.other Split-window algorithm
dc.title Bi-spectral infrared algorithm for cloud coverage over oceans by the jem-euso mission program
dc.type article
dc.subject.eciencia Ingeniería Industrial
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. RTI2018-099825-B-C33
dc.relation.projectID Comunidad de Madrid. PEJ-2018-AI_TIC-11476
dc.relation.projectID Comunidad de Madrid. EPUC3M14
dc.type.version publishedVersion
dc.identifier.publicationfirstpage 1
dc.identifier.publicationissue 19
dc.identifier.publicationlastpage 21
dc.identifier.publicationtitle SENSORS
dc.identifier.publicationvolume 21
dc.identifier.uxxi AR/0000030378
dc.contributor.funder Comunidad de Madrid
dc.contributor.funder Ministerio de Ciencia e Innovación (España)
dc.affiliation.dpto UC3M. Departamento de Matemáticas
dc.affiliation.grupoinv UC3M. Grupo de Investigación: Interdisciplinar de Sistemas Complejos (GISC)
 Find Full text

Files in this item

*Click on file's image for preview. (Embargoed files's preview is not supported)

The following license files are associated with this item:

This item appears in the following Collection(s)

Show simple item record