دورية أكاديمية

PROCESSING BIG REMOTE SENSING DATA FOR FAST FLOOD DETECTION IN A DISTRIBUTED COMPUTING ENVIRONMENT

التفاصيل البيبلوغرافية
العنوان: PROCESSING BIG REMOTE SENSING DATA FOR FAST FLOOD DETECTION IN A DISTRIBUTED COMPUTING ENVIRONMENT
المؤلفون: A. Olasz, D. Kristóf, B. Nguyen Thai, M. Belényesi, R. Giachetta
المصدر: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W2, Pp 137-138 (2017)
بيانات النشر: Copernicus Publications, 2017.
سنة النشر: 2017
المجموعة: LCC:Technology
LCC:Engineering (General). Civil engineering (General)
LCC:Applied optics. Photonics
مصطلحات موضوعية: Technology, Engineering (General). Civil engineering (General), TA1-2040, Applied optics. Photonics, TA1501-1820
الوصف: The Earth observation (EO) missions of the space agencies and space industry (ESA, NASA, national and commercial companies) are evolving as never before. These missions aim to develop and launch next-generation series of satellites and sensors and often provide huge amounts of data, even free of charge, to enable novel monitoring services. The wide geospatial sector is targeted to handle new challenges to store, process and visualize these geospatial data, reaching the level of Big Data by their volume, variety, velocity, along with the need of multi-source spatio-temporal geospatial data processing. Handling and analysis of remote sensing data has always been a cumbersome task due to the ever-increasing size and frequency of collected information. This paper presents the achievements of the IQmulus EU FP7 research and development project with respect to processing and analysis of geospatial big data in the context of flood and waterlogging detection.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1682-1750
2194-9034
Relation: https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W2/137/2017/isprs-archives-XLII-4-W2-137-2017.pdf; https://doaj.org/toc/1682-1750; https://doaj.org/toc/2194-9034
DOI: 10.5194/isprs-archives-XLII-4-W2-137-2017
URL الوصول: https://doaj.org/article/1e87f181b2314216ac8aa7e0e4a3c831
رقم الأكسشن: edsdoj.1e87f181b2314216ac8aa7e0e4a3c831
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:16821750
21949034
DOI:10.5194/isprs-archives-XLII-4-W2-137-2017