المؤلفون: Sunan Shi, Yanfei Zhong, Yinhe Liu, Jue Wang, Yuting Wan, Ji Zhao, Pengyuan Lv, Liangpei Zhang, Deren Li

المصدر: International Journal of Digital Earth, Vol 16, Iss 1, Pp 3321-3347 (2023)

مصطلحات موضوعية: gf-2 remote sensing imagery, multi-temporal satellite datasets, urban lulc mapping, binary and semantic change detection, multi-task framework, Mathematical geography. Cartography, GA1-1776

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1753-8947; https://doaj.org/toc/1753-8955

URL الوصول: https://doaj.org/article/102b959297a34a05b3dbfa79778b7278

المؤلفون: Sanchez, Eduardo H.^{Aff11, Aff12}, Serrurier, Mathieu^{Aff11, Aff12}, Ortner, Mathias^Aff13

المساهمون: Goos, Gerhard, Founding Editor^Aff1, Hartmanis, Juris, Founding Editor^Aff2, Bertino, Elisa, Editorial Board Member^Aff3, Gao, Wen, Editorial Board Member^Aff4, Steffen, Bernhard, Editorial Board Member^Aff5, Woeginger, Gerhard, Editorial Board Member^Aff6, Yung, Moti, Editorial Board Member^Aff7, Dong, Yuxiao, editor^Aff8, Mladenić, Dunja, editor^Aff9, Saunders, Craig, editor^Aff10

المصدر: Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track : European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part IV. 12460:391-407

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المؤلفون: Lloyd, Elisabeth A.^Aff3

المساهمون: A. Lloyd, Elisabeth, editor^Aff1, Winsberg, Eric, editor^Aff2

المصدر: Climate Modelling : Philosophical and Conceptual Issues. :137-173

المؤلفون: Andrea Nettis, Vincenzo Massimi, Raffaele Nutricato, Davide Oscar Nitti, Sergio Samarelli, Giuseppina Uva

مصطلحات موضوعية: Control and Systems Engineering, The multi-temporal satellite-based differential interferometry (MTInSAR) is a well-known remote-sensing technique aimed at detecting displacements of persistent scatterers (PSs) on the terrestrial surface. Recent studies motivate research effort on developing efficient and automatic procedures for structural monitoring via MTInSAR. This paper proposes a methodology for the portfolio-scale detection of structural deformations of bridges via MTInSAR. The displacement time-series associated with persistent scatterers on the investigated bridges are used to supply a geoprocessing chain leading to the automatic interpretation of bridge-specific deformation scenarios and the definition of monitoring/assessment priority classes. The methodology is applied to two highway networks in Roma and Bari (Italy) by using Sentinel-1 (C-band) and COSMO-SkyMed (X-band) satellite datasets. Although most of the bridges can be assumed stable, a relevant number of bridges affected by ongoing deformation phenomena are associated with high inspection priority. The PSs and the deformation scenarios related to some specific test bridges subjected to subsidence phenomena are analysed and described in detail. Finally, the deformation scenarios detected through the proposed methodology for two collapsed bridges in Italy are illustrated, a relevant number of bridges affected by ongoing deformation phenomena are associated with high inspection priority. The PSs and the deformation scenarios related to some specific test bridges subjected to subsidence phenomena are analysed and described in detail. Finally, Building and Construction, The multi-temporal satellite-based differential interferometry (MTInSAR) is a well-known remote-sensing technique aimed at detecting displacements of persistent scatterers (PSs) on the terrestrial surface. Recent studies motivate research effort on developing efficient and automatic procedures for structural monitoring via MTInSAR. This paper proposes a methodology for the portfolio-scale detection of structural deformations of bridges via MTInSAR. The displacement time-series associated with persistent scatterers on the investigated bridges are used to supply a geoprocessing chain leading to the automatic interpretation of bridge-specific deformation scenarios and the definition of monitoring/assessment priority classes. The methodology is applied to two highway networks in Roma and Bari (Italy) by using Sentinel-1 (C-band) and COSMO-SkyMed (X-band) satellite datasets. Although most of the bridges can be assumed stable, the deformation scenarios detected through the proposed methodology for two collapsed bridges in Italy are illustrated, Civil and Structural Engineering

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::611c9f492c0944ea1b3e4d478518e3c5
https://hdl.handle.net/11589/246380

المؤلفون: Chand, Pritam^Aff4, Sharma, Milap Chand^Aff4, Prasad, Ram Nagesh^Aff4

المساهمون: Singh, RB, editor^Aff1, Schickhoff, Udo, editor^Aff2, Mal, Suraj, editor^Aff3

المصدر: Climate Change, Glacier Response, and Vegetation Dynamics in the Himalaya : Contributions Toward Future Earth Initiatives. :155-179

المؤلفون: Jiabin Peng, Tie Liu, Yue Huang, Yunan Ling, Zhengyang Li, Anming Bao, Xi Chen, Alishir Kurban, Philippe De Maeyer

المصدر: Remote Sensing, Vol 13, Iss 2, p 221 (2021)

مصطلحات موضوعية: satellite datasets, accuracy evaluation, hydrological applicability, SWAT, Bosten Lake Basin, Science

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2072-4292/13/2/221; https://doaj.org/toc/2072-4292

URL الوصول: https://doaj.org/article/d3bdef1b55684af392bf477ee2a8ebb5

المؤلفون: Russell L. Elsberry, Joel W. Feldmeier, Hway-Jen Chen, Melinda Peng, Christopher S. Velden, Qing Wang

المصدر: Atmosphere, Vol 11, Iss 11, p 1200 (2020)

مصطلحات موضوعية: tropical cyclone rapid intensification, geostationary meteorological satellite datasets, assimilation of atmospheric motion vectors, Meteorology. Climatology, QC851-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2073-4433/11/11/1200; https://doaj.org/toc/2073-4433

URL الوصول: https://doaj.org/article/d7531fd3178e43698647e1b97bbc5862

المؤلفون: Victor H. Rivera-Monroy, Luis M. Farfán, Luis Brito-Castillo, Jorge Cortés-Ramos, Eduardo González-Rodríguez, Eurico J. D’Sa, Jorge I. Euan-Avila

المصدر: Applied Sciences, Vol 10, Iss 17, p 5815 (2020)

مصطلحات موضوعية: tropical cyclones, satellite datasets, vegetation change, ocean productivity, karstic coast, Yucatan Peninsula, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2076-3417/10/17/5815; https://doaj.org/toc/2076-3417

URL الوصول: https://doaj.org/article/c7974392f4ae4ef9bb0a8be2e4fa3a1d

المؤلفون: Jing Li

المصدر: Remote Sensing, Vol 12, Iss 2, p 208 (2020)

مصطلحات موضوعية: pollution trends in china, multi-sensor satellite datasets, aod, so2, no2, tropospheric ozone, Science

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2072-4292/12/2/208; https://doaj.org/toc/2072-4292

URL الوصول: https://doaj.org/article/97e316b8a51b4422bffa63860b784d5e