Earth Observation (EO) big data are nowadays easily accessible and consist of long time-spanning data series which are often used to perform different kinds of analysis in several fields of application. GRASS GIS is a Free and Open Source geographic information system (GIS) with support for raster, 3D raster and vector data processing. During this workshop we will show how to manage and analyze big EO data in a simple way with GRASS GIS using its temporal framework (TGRASS). The workshop will start showing the basics about GRASS GIS and it will continue processing data with the TGRASS. The workshop will be an intuitive mix of theoretical and hands-on sections using MODIS and Copernicus Sentinel-2 data.

Delucchi, L.; Ciolli, M.; Neteler, M.; Andreo, V. (2018). Big geodata management and analysis using GRASS GIS. In: FOSS4G 2018, Dar El Salaam, Tanzania, 27 August - 2 September 2018. url: http://lucadelu.org/grass_foss4g_2018_workshop/ handle: http://hdl.handle.net/10449/49630

Big geodata management and analysis using GRASS GIS

Delucchi, L.
;
2018-01-01

Abstract

Earth Observation (EO) big data are nowadays easily accessible and consist of long time-spanning data series which are often used to perform different kinds of analysis in several fields of application. GRASS GIS is a Free and Open Source geographic information system (GIS) with support for raster, 3D raster and vector data processing. During this workshop we will show how to manage and analyze big EO data in a simple way with GRASS GIS using its temporal framework (TGRASS). The workshop will start showing the basics about GRASS GIS and it will continue processing data with the TGRASS. The workshop will be an intuitive mix of theoretical and hands-on sections using MODIS and Copernicus Sentinel-2 data.
GRASS GIS
Big data
Free and Open Source Software
2018
Delucchi, L.; Ciolli, M.; Neteler, M.; Andreo, V. (2018). Big geodata management and analysis using GRASS GIS. In: FOSS4G 2018, Dar El Salaam, Tanzania, 27 August - 2 September 2018. url: http://lucadelu.org/grass_foss4g_2018_workshop/ handle: http://hdl.handle.net/10449/49630
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10449/49630
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