https://github.com/davemlz/gee_timeseries

Google Earth Engine time series with Savitzky-Golay filter
https://github.com/davemlz/gee_timeseries

google-earth-engine satellite-imagery savitzky-golay-filter sentinel-2 series

Last synced: about 1 month ago
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Google Earth Engine time series with Savitzky-Golay filter

• Host: GitHub
• URL: https://github.com/davemlz/gee_timeseries
• Owner: davemlz
• Created: 2019-04-30T20:04:03.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2021-04-08T16:02:13.000Z (over 3 years ago)
• Last Synced: 2024-10-09T13:28:18.825Z (about 1 month ago)
• Topics: google-earth-engine, satellite-imagery, savitzky-golay-filter, sentinel-2, series
• Language: Python
• Homepage:
• Size: 6.84 KB
• Stars: 31
• Watchers: 1
• Forks: 7
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Google Earth Engine time series with Savitzky-Golay filter

Example that shows how to extract image collection values for a feature collection, create a vegetaion index time series dataframe and apply a Savitzky-Golay filter over it.

## Note

A better version of this function was implemented in [eemont](https://github.com/davemlz/eemont) as an extended method for the ee.ImageCollection object:

```python

import ee, eemont

ee.Authenticate()

ee.Initialize()

f1 = ee.Feature(ee.Geometry.Point([3.984770,48.767221]).buffer(50),{'ID':'A'})

f2 = ee.Feature(ee.Geometry.Point([4.101367,48.748076]).buffer(50),{'ID':'B'})

fc = ee.FeatureCollection([f1,f2])

S2 = (ee.ImageCollection('COPERNICUS/S2_SR')

  .filterBounds(fc)

  .filterDate('2020-01-01','2021-01-01')

  .maskClouds()

  .scale()

  .index(['EVI','NDVI']))

# By Region

ts = S2.getTimeSeriesByRegion(reducer = [ee.Reducer.mean(),ee.Reducer.median()],

                             geometry = fc,

                             bands = ['EVI','NDVI'],

                             scale = 10)

# By Regions

ts = S2.getTimeSeriesByRegions(reducer = [ee.Reducer.mean(),ee.Reducer.median()],

                              collection = fc,

                              bands = ['EVI','NDVI'],

                              scale = 10)

```