Our current working conditions require access to spatial information in short periods of time. Work planning tasks or quoting of services require data of distances, areas, proximities, medium elevations, among others. The data can be given by clients, organizations or by field monitoring, but they may not be available at the required moment. The use of geoprocessng tools of satellite imagery reduces the required time to have this information. Since QGIS is open source and the Landsat, MODIS and Aster images are free, this type of geoprocessing is versatile, economic and friendly for any user with basic/intermediate QGIS knowledge.

This tutorial show the procedure to create contours from a raster file considering interval definition. The example is made from a NDVI raster file.

This tutorial show the procedure to cut a NDVI Raster File calculated from a Sentinel 2 Granule on QGIS.

This tutorial show the prodecure to calculate the NDVI from Sentinel 2 bands on QGIS.

False color images are used to enhance certain cover types as vegetation on the image representation. This tutorial show the procedure represent the bands of a False Color image from Sentinel 2 bands in QGIS. 

This tutorial show the procedure represent the bands of a Sentinel 2 Granule (Image) in QGIS. The representation of the image is True Color (Red, Green and Blue)

Sentinel-2 carries an innovative wide swath high-resolution multispectral imager with 13 spectral bands for a new perspective of our land and vegetation. The mission is based on a constellation of two identical satellites in the same orbit, 180° apart for optimal coverage and data delivery. Together they cover all Earth’s land surfaces, large islands, inland and coastal waters every five days at the equator (source ESA).

This tutorial show the procedure to download especific granules from a ESA Sentinel 2 Image using the website: https://scihub.copernicus.eu/