Copernicus Earth Observation and Big Data for Cultural Heritage Management
Date Issued
June 2021
Author(s)
Abstract
Since 2015, the Sentinel‐1 and ‐2 sensors systematically provide radar and
optical images, that can be accessed and processed by the end‐users. This initiative is
strongly supported by the European Space Agency (ESA) free and full open access
(FFO) policy [1]. However, the use of these satellite datasets has not yet fully adopted
by the archaeological community. This is partially due to the lower resolution of the
Sentinel and other similar sensors (in comparison to the high‐resolution optical
satellite data [2‐3]), and the different demands of the end‐users [4]. Nevertheless, this
is a unique opportunity for the archaeological community to gain access into an
extensive multi‐temporal satellite repository. In this respect, big data cloud platforms
are essential for facilitating these imagesʹ processing.
This paper presents, through various applications, the benefits and limitations
of multi‐temporal change detection analysis using multi‐source radar and optical
medium resolution satellite datasets for supporting heritage disaster risk management
cycle [5]. In specific, the use of Sentinel‐1 and Sentinel‐2 sensors and Landsat images
are processed in the Google Earth Engine cloud platform. The analysis includes a
temporal trend investigation over archaeological sites in Cyprus, through integrated
harmonized Landsat observations (Landsat 5 TM; Landsat 7 ETM+ and Landsat 8 OLI)
[6], as well as supervised Random Forest classification for monitoring urban sprawl
and land‐use changes. Vertical sprawl over the archaeological site of Amathus in
Cyprus using the Rapid and Easy Change detection in radar TIme‐series by Variation
coefficient (REACTIV) algorithm [7], are also presented. Finally, disturbance mapping
and multi‐temporal vegetation indices and Tasseled Cap coefficient trends are
provided [8].
The results of the research here presented make part of an ongoing project,
entitled ʺCopernicus Earth Observation Big Data for Cultural Heritageʺ, in short
NAVIGATOR (under the grant agreement EXCELLENCE/0918/0052). The project
investigates novel methodologies for monitoring natural and anthropogenic hazards,
employing Copernicus and other related satellite products and using big data cloud
platforms.
optical images, that can be accessed and processed by the end‐users. This initiative is
strongly supported by the European Space Agency (ESA) free and full open access
(FFO) policy [1]. However, the use of these satellite datasets has not yet fully adopted
by the archaeological community. This is partially due to the lower resolution of the
Sentinel and other similar sensors (in comparison to the high‐resolution optical
satellite data [2‐3]), and the different demands of the end‐users [4]. Nevertheless, this
is a unique opportunity for the archaeological community to gain access into an
extensive multi‐temporal satellite repository. In this respect, big data cloud platforms
are essential for facilitating these imagesʹ processing.
This paper presents, through various applications, the benefits and limitations
of multi‐temporal change detection analysis using multi‐source radar and optical
medium resolution satellite datasets for supporting heritage disaster risk management
cycle [5]. In specific, the use of Sentinel‐1 and Sentinel‐2 sensors and Landsat images
are processed in the Google Earth Engine cloud platform. The analysis includes a
temporal trend investigation over archaeological sites in Cyprus, through integrated
harmonized Landsat observations (Landsat 5 TM; Landsat 7 ETM+ and Landsat 8 OLI)
[6], as well as supervised Random Forest classification for monitoring urban sprawl
and land‐use changes. Vertical sprawl over the archaeological site of Amathus in
Cyprus using the Rapid and Easy Change detection in radar TIme‐series by Variation
coefficient (REACTIV) algorithm [7], are also presented. Finally, disturbance mapping
and multi‐temporal vegetation indices and Tasseled Cap coefficient trends are
provided [8].
The results of the research here presented make part of an ongoing project,
entitled ʺCopernicus Earth Observation Big Data for Cultural Heritageʺ, in short
NAVIGATOR (under the grant agreement EXCELLENCE/0918/0052). The project
investigates novel methodologies for monitoring natural and anthropogenic hazards,
employing Copernicus and other related satellite products and using big data cloud
platforms.
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