Mostrar el registro sencillo del ítem

Monitoring the Activity of Industrial Facilities Using Satellite Images of the Heat IR Range

dc.contributor.authorMozgovoy, Dmitriy
dc.contributor.authorTsarev, Roman
dc.contributor.authorKorchynskyi, Volodymyr
dc.contributor.authorKuzmich, Roman
dc.contributor.authorPupkov, Alexander
dc.contributor.authorChikizov, Alexey
dc.contributor.authorTynchenko, Vadim
dc.contributor.authorKnyazkov, Alexey
dc.contributor.authorDelahoz-Domínguez, Enrique
dc.date.accessioned2023-07-21T20:50:12Z
dc.date.available2023-07-21T20:50:12Z
dc.date.issued2021
dc.date.submitted2023
dc.identifier.citationMozgovoy, D., Tsarev, R., Korchynskyi, V., Kuzmich, R., Pupkov, A., Chikizov, A., ... & Delahoz-Domínguez, E. (2021, April). Monitoring the Activity of Industrial Facilities Using Satellite Images of the Heat IR Range. In Computer Science On-line Conference (pp. 519-530). Cham: Springer International Publishing.spa
dc.identifier.urihttps://hdl.handle.net/20.500.12585/12391
dc.description.abstractThe results of the development and testing of the methodology for automated processing of satellite images of medium spatial resolution in the heat and short-wave IR range are presented. For the specified test areas, digital maps of the Earth’s surface temperature were obtained for the territories where oil refineries and chemical plants are concentrated. A comparative analysis of the results of automated recognition of heat radiation sources showed a fairly high degree of correlation between the results of processing images of the heat IR range and the results of processing images of the short-wave IR range. We also compared the results of automated recognition of heat radiation sources based on images of the same territory taken from different satellites at different times. The results of testing the proposed methodology confirmed the possibility and high efficiency of using night images from the Terra satellite (ASTER survey instrument) and from the Landsat-8 satellite (TIRS survey instrument) to monitor the production activity of large industrial facilities that are sources of heat radiation. #CSOC1120 © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.spa
dc.format.extent11 páginas
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.sourceLecture Notes in Networks and Systemsspa
dc.titleMonitoring the Activity of Industrial Facilities Using Satellite Images of the Heat IR Rangespa
dcterms.bibliographicCitationHnatushenko, V.V., Hnatushenko, V.V., Mozgovyi, D.K., Vasiliev, V.V. Satellite technology of the forest fires effects monitoring (2016) Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (1), pp. 70-76. Cited 18 times. http://www.nvngu.in.ua/index.php/en/component/jdownloads/finish/59-01/8445-2016-01-hnatushenko/0spa
dcterms.bibliographicCitationMozgovoy, D.K., Kapulin, D.V., Svinarenko, D.N., Sablinskii, A.I., Yamskikh, T.N., Tsarev, R.Y. Automated detection of anthropogenic changes in municipal infrastructure with satellite sub-meter resolution imagery (2020) Advances in Intelligent Systems and Computing, 1226 AISC, pp. 362-370. http://www.springer.com/series/11156 ISBN: 978-303051973-5 doi: 10.1007/978-3-030-51974-2_35spa
dcterms.bibliographicCitationHnatushenko, V.V., Mozgovoy, D.K., Spirintsev, V.V., Udovyk, I.M. All-weather monitoring of oil and gas production areas using satellite data (2019) Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 2019 (6), pp. 137-143. Cited 5 times. http://www.nvngu.in.ua/jdownloads/pdf/2019/06/6_2019_Hnatushenko.pdf doi: 10.29202/nvngu/2019-6/20spa
dcterms.bibliographicCitationLi, Z.-L., Tang, B.-H., Wu, H., Ren, H., Yan, G., Wan, Z., Trigo, I.F., (...), Sobrino, J.A. Satellite-derived land surface temperature: Current status and perspectives (Open Access) (2013) Remote Sensing of Environment, 131, pp. 14-37. Cited 1401 times. doi: 10.1016/j.rse.2012.12.008spa
dcterms.bibliographicCitationSchott, J.R., Hook, S.J., Barsi, J.A., Markham, B.L., Miller, J., Padula, F.P., Raqueno, N.G. Thermal infrared radiometric calibration of the entire Landsat 4, 5, and 7 archive (1982-2010) (2012) Remote Sensing of Environment, 122, pp. 41-49. Cited 60 times. doi: 10.1016/j.rse.2011.07.022spa
dcterms.bibliographicCitationChander, G., Markham, B.L., Helder, D.L. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors (Open Access) (2009) Remote Sensing of Environment, 113 (5), pp. 893-903. Cited 2212 times. doi: 10.1016/j.rse.2009.01.007spa
dcterms.bibliographicCitationColl, C., Galve, J.M., Sánchez, J.M., Caselles, V. Validation of landsat-7/ETM+ thermal-band calibration and atmospheric correction with ground-based measurements (Open Access) (2010) IEEE Transactions on Geoscience and Remote Sensing, 48 (1), art. no. 5208377, pp. 547-555. Cited 178 times. doi: 10.1109/TGRS.2009.2024934spa
dcterms.bibliographicCitationJimenez-Munoz, J.C., Sobrino, J.A., Skokovic, D., Mattar, C., Cristobal, J. Land surface temperature retrieval methods from landsat-8 thermal infrared sensor data (2014) IEEE Geoscience and Remote Sensing Letters, 11 (10), art. no. 6784508, pp. 1840-1843. Cited 620 times. doi: 10.1109/LGRS.2014.2312032spa
dcterms.bibliographicCitationReuter, D.C., Richardson, C.M., Pellerano, F.A., Irons, J.R., Allen, R.G., Anderson, M., Jhabvala, M.D., (...), Thome, K.J. The thermal infrared sensor (tirs) on landsat 8: Design overview and pre-launch characterization (Open Access) (2015) Remote Sensing, 7 (1), pp. 1135-1153. Cited 78 times. http://www.mdpi.com/2072-4292/7/1/1135/pdfspa
dcterms.bibliographicCitationMontanaro, M., Gerace, A., Lunsford, A., Reuter, D. Stray light artifacts in imagery from the landsat 8 thermal infrared sensor (Open Access) (2014) Remote Sensing, 6 (11), pp. 10435-10456. Cited 144 times. http://www.mdpi.com/2072-4292/6/11/10435/pdf doi: 10.3390/rs61110435spa
dcterms.bibliographicCitationBlackett, M. Early analysis of landsat-8 thermal infrared sensor imagery of volcanic activity (Open Access) (2014) Remote Sensing, 6 (3), pp. 2282-2295. Cited 49 times. http://www.mdpi.com/2072-4292/6/3/2282/pdf doi: 10.3390/rs6032282spa
dcterms.bibliographicCitationRozenstein, O., Qin, Z., Derimian, Y., Karnieli, A. Derivation of land surface temperature for landsat-8 TIRS using a split window algorithm (Open Access) (2014) Sensors (Switzerland), 14 (4), pp. 5768-5780. Cited 302 times. http://www.mdpi.com/1424-8220/14/4/5768/pdf doi: 10.3390/s140405768spa
dcterms.bibliographicCitationPerez Hoyos, I.C. Comparison between land surface temperature retrieval using classification-based emissivity and NDVI based emissivity (2014) Int. J. Recent Dev. Eng. Technol., 2 (2), pp. 26-30. Cited 3 times.spa
datacite.rightshttp://purl.org/coar/access_right/c_abf2spa
oaire.versionhttp://purl.org/coar/version/c_b1a7d7d4d402bccespa
dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.hasversioninfo:eu-repo/semantics/draftspa
dc.identifier.doi10.1007/978-3-030-77448-6_51
dc.subject.keywordsLand Surface Temperature;spa
dc.subject.keywordsSplit Window;spa
dc.subject.keywordsAir Temperaturespa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.identifier.instnameUniversidad Tecnológica de Bolívarspa
dc.identifier.reponameRepositorio Universidad Tecnológica de Bolívarspa
dc.publisher.placeCartagena de Indiasspa
dc.subject.armarcLEMB
dc.type.spahttp://purl.org/coar/resource_type/c_6501spa
oaire.resourcetypehttp://purl.org/coar/resource_type/c_6501spa


Ficheros en el ítem

Thumbnail
Nombre:
Scopus - Document details - ...
Tamaño:
162.6Kb
Formato:
PDF
Ver/

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem

Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.