S1.1 Earth observation
S1.1 _Earth Observation for ecosystem analysis and decision making. (Session Chairs: Klaus Joehnk and Janet Anstee)
Earth observation data is acquired from satellites, airborne platforms, and in-situ measurements on land and in water. Combined with modelling tools this yields detailed insights into ecosystem functioning from small to large scales and allows for improved prediction algorithms, which then provides decision makers with reliable and up-to-date information.
In this special session we want to address the challenges and opportunities
of the use of Earth observation data in modelling and forecasting of ecosystem trends. This can be, but is not restricted to, water quality modelling, harmful algal blooms, biodiversity trends, ecosystem accounting, etc.
Keywords: earth observation, remote sensing, water quality, bio-optics
Forest biodiversity estimated from the space: testing the Spectral Variation Hypothesis comparing Landsat 8 and Sentinel 2 using a multi-temporal Rao Q
Michele Torresani, Duccio Rocchini, Ruth Sonnenschei, Marc Zebisch, Giustino Tonon
Modelling tree species diversities of the Afromontane forest ecosystem with satellite remote sensing and macro-ecological data
Ralph Adewoye, Christian Huttich, Hazel Chapman
Towards Understanding the Trends of Informal Harvesting of Sand Forest in Maputaland, South Africa
Ryan Nel, Kevin Mearns and Maarten Jordaan
Gross Primary Production and spring onset linked by spatio-temporal data analysis
Emma Izquierdo-Verdiguier, Alvaro Moreno, Raul Zurita-Milla, Gustau Camps Valls and Steve Running
Estimating Gross Primary Productivity in Crops with Satellite Data, Radiative Transfer Modeling and Machine Learning
Aleksandra Wolanin, Luis Guanter, Gustau Camps-Valls, Luis Gómez-Chova, Gonzalo Mateo García, Christiaan van der Tol and Yongguang Zhang
Estimating grasslands biomass- Potential and limitations of point cloud analysis
Thomas Möckel and Michael Wachendorf
Monitoring the spread of invasive plant species in Germany – how many species can we possibly detect by remote sensing and what data do we need?
Sandra Skowronek, Stefanie Stenzel and Hannes Feilhauer
Mapping of invasive plant species with Sentinel-1 and -2 data calibrated with UAV-based training data
Teja Kattenborn, Javier Lopatin, Michael Förster and Fabian Ewald Fassnacht