Skip to content

Workflow for extracting vegetation indices from Sentinel L2A data for a user-defined study area.

Notifications You must be signed in to change notification settings

envima/sentinel-kili

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 

Repository files navigation

sentinel-kili

Workflow for extracting vegetation indices from Sentinel L2A data for a user-defined study area and time period.

This workflow takes into account the specific cloud coverage of the study area and can thus also be used to select Sentinel-2 scenes based on the cloud coverage within a study area of interest.

An R-script for automatically downloading Sentinel-2 L2A scenes for a user-defined tile and time period is also provided.

Read the full paper:

Msoffe F & Zeuss D (2021) Automatic Processing of Sentinel-2 Data for Monitoring Biodiversity in a User-Defined Area: An Example from Mount Kilimanjaro National Park. https://doi.org/10.1007/978-3-030-76374-9_3

About

Workflow for extracting vegetation indices from Sentinel L2A data for a user-defined study area.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages