Poster + Paper
12 September 2021 Monitoring of surface water bodies by Sentinel and open data
Author Affiliations +
Conference Poster
Abstract
The main purpose of this research is interoperability of data from different sources and creation of innovative models with high value data such as satellite information and Earth data and solutions for public administrations, business and citizens. Building base data to inform and train stakeholders and promote the adoption of good practices and innovations in environmental monitoring is also a leading goal. An assessment was made of several surface water bodies that have acquired personal types of permits for use and construction. The methodology contains a model of Open data processing steps, which are published in the Open Data Portal of the State Agency "E-Government" in Bulgaria, satellite data from Sentunel-1 and Sentune-2 and terrestrial data from many different monitoring devices. Different formats are integrated, and for this aim there must be transdisciplinary knowledge and a complex approach. Composite images of optical and SAR data, TCT and terrestrial data from Еnvironmental assessments and data from Basin Directorates in Bulgaria are combined. The model is further verified by the spectral characteristics of the objects, transformed images into dD (decibels) and statistical data. The interoperability of the data in this model will be a tool for restoring cooperation, coordination and communication between central and local administration, supply of services from the public sector, academia, business, NGOs and IT companies, development of solutions or information processing, in case of geospatial information and Environmental monitoring.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Temenuzhka Spasova, Adlin Dancheva, Iva Ivanova, Denitsa Borisova, and Nataliya Stankova "Monitoring of surface water bodies by Sentinel and open data", Proc. SPIE 11863, Earth Resources and Environmental Remote Sensing/GIS Applications XII, 118631B (12 September 2021); https://doi.org/10.1117/12.2600282
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KEYWORDS
Data modeling

Satellites

Synthetic aperture radar

Aerospace engineering

Polarization

Remote sensing

Statistical analysis

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