Changes for page 3.4.2.1 Sentinel-2 data operations
Last modified by Tuan Le on 2019/05/28 10:36
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... ... @@ -10,7 +10,8 @@ 10 10 * Sen2cor 11 11 12 12 (% cellpadding="5" cellspacing="5" style="height:172px; width:1284px" %) 13 -| 13 +|The** band calculator **can be used to do simple arithmetic or band math between different raster layers. Operations such as caluculating vegetation indices can be perfomed by executing the corresponding formula. 14 +|**Band subsetting **can be used to select bands from within the datacube. When requiring only a true color composite the function will retrieve only the red, green and blue bands inorder to reduce unnecessary data download and storage. 14 14 |((( 15 15 **Cloud masking** is the action of removing cloud affected pixels, usually by assiging NA values to them. Generally, the precense of clouds or shadows is unavoidable for optical remote sensing and result in missing data. Therefore, negatively affected pixels need to be bemoved, either manually or by applying fully automated setups. To do so cloud mask being produced using a wide range of algorithms, with different ranges of success in detecting clouds and shadows. 16 16 ... ... @@ -19,6 +19,7 @@ 19 19 20 20 21 21 ))) 23 +|[[**Cropping **>>https://grasswiki.osgeo.org/wiki/Cropping_maps]]means taking the contents of one dataset (the region of interest) and eliminating all data outside of the area you are studying (the //boundary//) to yield a smaller new map (the //cropped map//). Techniques differ depending on whether your source is raster or vector and whether your boundary is defined by another map or by coordinates. 22 22 |((( 23 23 **Gap-filling **replaces low qulatiy pixels (i.e. clouds, snow, SLC-off) with high quality data from a date near in time or growing season. Severall apporaches have been developed .... 24 24