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GRASS GIS 8 (Part 2): Processing multitemporal EO data

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GRASS GIS 8 (Part 2): Processing multitemporal EO data
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57
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CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Production PlaceWageningen

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Software requirements: GRASS GIS 8 GRASS GIS supports time series processing for vector, raster, and volume data. This tutorial is a micro-introduction to Landsat and Sentinel satellite data archives, and the various ways to access them. It also explores the i.sentinel toolset which allows querying Sentinel data coverage for a region of interest, downloading from multiple data sources, performing atmospheric and topographic corrections, and cloud/shadow masking. This video also gives a preparation of data for multitemporal analyses is enabled in the t.sentinel and t.rast.mosaic extensions through automatic creation of space-time raster datasets (strds), and temporal aggregation to obtain cloud-free temporal mosaics of arbitrary granularity. It explores the computation of NDVI time series Use Sentinel, ERA5 land air temperature, surface temperature and precipitation (daily data).
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