suggested by: Martin Sudmanns, Dirk Tiede
Background
The first of two
Sentinel 2 Satellites (Sentinel 2A and Sentinel 2B) was launched in summer
2015, the second in Spring 2017. They are continuously collecting data
from the Earth’s surface. Not only the data, but also the metadata
are interesting, e.g., to analyse whether the spatiotemporal coverage is
equally distributed or for which area the acquisition of cloud-free images is
good enough to perform specific tasks.
Currently, for their
projects, most researchers rely on theoretical coverage information provided by
data providers (e.g., knowing that the temporal coverage should be every 5 days,
not considering cloud cover or acquisition plans) or expert estimations (e.g.,
assuming the feasibility by estimating the average cloud cover of a study area,
not considering historic data of the actual cloud cover). These examples can be
expanded based on all available metadata, including, but not limited to: time
between acquisition and processing, number of images per study area, average
days between cloud free images, etc. The rationale is that reliable information
of the actual performance is usually not systematically considered and analysed.
Short description
We harvest the metadata
of all Sentinel-2 images and store it in a PostgreSQL database. It serves as
backend for a web-based tool (Sentinel-2 Dashboard), which allows users to
visualise and analyse the metadata.
The first part of the
Master thesis focuses on the improvement of the Dashboard, allowing to analyse aggregated
statistics on a per-footprint (granule) basis in a web map and in infographics. Furthermore, it visualises Sentinel-2 acquisition plans, current
Satellite positions. Several improvements are possible, e.g., generate
statistics on user-defined areas, observing the values of a location (configuring
alarm using geofences) or querying common overlapping areas of Sentinel-1/2/3
and Landsat 8. Students are encouraged to bring in their own ideas.
The second part is focusing
on the possible and useful scientific analyses of the metadata and to draw conclusions from the
past 3 years of Sentinel 2 data acquisition and a discussion on further developments.
Suggested reading
- Ju, J., Roy, D.P.,
2008. The availability of cloud-free Landsat ETM+ data over the conterminous
United States and globally. Remote Sens. Environ. 112, 1196–1211.
doi:10.1016/j.rse.2007.08.011
- Drusch, M., Del Bello,
U., Carlier, S., Colin, O., Fernandez, V., Gascon, F., Hoersch, B., Isola, C.,
Laberinti, P., Martimort, P., Meygret, A., Spoto, F., Sy, O., Marchese, F.,
Bargellini, P., 2012. Sentinel-2: ESA’s Optical High-Resolution Mission for GMES
Operational Services. Remote Sens. Environ. 120, 25–36.
doi:10.1016/j.rse.2011.11.026
Start
Anytime; Asap.
Prerequisite
Javascript/OpenLayers
or Leaflet++
PostgreSQL++
Python+
The first of two
Sentinel 2 Satellites (Sentinel 2A and Sentinel 2B) was launched in summer
2015, the second in Spring 2017. They are continuously collecting data
from the Earth’s surface. Not only the data, but also the metadata
are interesting, e.g., to analyse whether the spatiotemporal coverage is
equally distributed or for which area the acquisition of cloud-free images is
good enough to perform specific tasks.
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