GeoSens Training EO4IntDev

Online I September 19 – 23, 2022 I Würzburg

This training addresses beginners and is dedicated to the basics, analysis, quality assessment, and visualization of satellite remote sensing data using QGIS and Google Earth Engine. Monitoring and Evaluation (M&E) in the sense of derivation, analysis, and interpretation of time series are part of this training. The nexus of climate change adaptation to climate change land cover and land use will be addressed in targeted examples and taken up in an exchange with the participants and the GeoSens team.

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GeoSens Training EO4QGIS

Online I October 10 – 14, 2022 I Würzburg

This training addresses beginners to intermediated users and provides basics of the opensource geographic information system Quantum GIS (QGIS) for developing and implementing a workbench (e.g. download of data, preprocessing, derivation of indicators and phenological indices, analysis, spatial prediction, mapping, and interpretation) for spatially analyzing and visualizing remote sensing data. Monitoring and Evaluation (M&E) in the sense of derivation, analysis, and interpretation of time series is part of this training. The nexus of climate change adaptation to climate change land cover and land use will be addressed in targeted examples and discussed with the participants and the GeoSens team.

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GeoSens Training EO4GEE

Online I February 20 – 24, 2023 I Würzburg

This training addresses advanced persons interested in the analysis of satellite imagery and spatial datasets and is dedicated to the provision of the principles of Google’s cloud infrastructure Earth Engine for earth science data and analysis. The training aims at enhancing the knowledge for developing and implementing a workbench (e.g., download of data, preprocessing, derivation of indicators and phenological indices, analysis, spatial prediction, mapping, and interpretation) for spatially analyzing and visualizing remote sensing data. Monitoring and Evaluation (M&E) in the sense of derivation, analysis, and interpretation of time series are part of this training. The nexus of climate change adaptation to climate change land cover and land use will be addressed in targeted examples and taken up in an exchange with the participants and the GeoSens team.

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