C Aubrecht, J. Ungar, D. Aubrecht, S. Freire, K. Steinnocher:
"Dynamic land use mapping using the collective power oft he crowd";
in: "Earth Observation Open Science and Innovation", Vol. 15; P. Mathieu, C Aubrecht (Hrg.); Springer, Switzerland, 2018, ISBN: 978-3-319-65633-5, S. 247 - 253.

Traditional land use and land cover (LULC) mapping has long relied strongly on
input from Earth Observation (EO) data sources at various resolutions and scale
levels. With high performance and cloud computing on the rise, rapid processing
of large volumes of very high resolution (VHR) satellite imagery-big EO data-
is becoming less problematic. Consequently, scientific challenges in that topical
domain move on to the next level.
"Remote Sensing Science 2.0" has been coined as having a primary focus on the
advanced consideration of temporal scale, i.e. change and dynamics, in addition to
the traditional spatial aspects (Herold 2011). The recent emergence of EO satellite
constellations (some already operational, some in the planning stage) set up in
temporally shifted coplanar orbits (e.g. ESAīs Sentinels, Airbusī Pléiades, Planetīs
RapidEye, UrtheCastīs OptiSAR) as well as smallsat and nanosat swarms (e.g.
Planetīs Doves, BlackSkyīs Pathfinders, Terra Bellaīs SkySats) comes in line with increased awareness and efforts to tackle the space-time resolution dichotomy of
traditional space-based Earth Observation and related analytics.

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