Show last authors
1 Index
2
3 * Aerosol Optical Thickness (AOT)
4 * Water Vapour (WV)
5 * Scene classification
6
7 (% style="height:642px; width:1421px" %)
8 |(((
9 the **Aerosol Optical Thickness** (AOT) is estimated from the Dark Dense Vegetation (DDV) pixel method introduced by Kaufmann
10 )))
11 |(((
12 **Water Vapour **content from the L1C image. This algorithm uses a ratio between band B8A and band B09. It is therefore important to have a very good internal resampling that preserves the geolocation accuracy of bands that have different native resolution.
13 )))
14 |(((
15 The main output of the Cloud Screening and **Scene Classification **module consists in a Scene Classification map. Together with the Scene Classification map, two quality indicators are provided: a Cloud confidence map and a Snow confidence map with values ranging from 0 to 100 ~(%).
16
17 source: Müller-Wilm, U., Louis, J., Richter, R., Gascon, F., Niezette, M., 2013. Sentinel-2 Level 2a Prototype Processor : Architecture , Algorithms and First Results. ESA Living Planet Symp. 2013, Edinburgh, UK 2013, 3–10.
18
19 (% style="text-align:center" %)
20 [[image:SCL2.JPG]]
21
22
23 (% style="text-align:center" %)
24 [[image:scl.jpg]]
25
26
27 )))
28 |
29 |
30 |