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Toolkit created to extract median NDVI Time Series from Sentinel 2 data 🛰 stored in Google Earth Engine, perform gap filling and trend analysis image

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Vinícius Mesquita / DALEE - theropod, jurassic landscape, digital art, hight quality

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Name

  • 🦖T(h)eroPoDa+ - Time Series Extraction for Polygonal Data and Trend Analysis ⬛

Description

  • Toolkit created to extract median NDVI Time Series from Sentinel 2 data 🛰 stored in Google Earth Engine, perform gap filling and trend analysis image

Author

Co-author

Version

  • 1.1.0

Requirements (installation order from top to bottom)

How to use

  • In this version of TheroPoDa (1.1.0), you could extract a series of median NDVI from Sentinel 2 for a Feature Collection of polygons simplily by passing arguments to the python code exemplified below:
argument usage example
--asset Choosed Earth Engine Vector Asset users/vieiramesquita/LAPIG_FieldSamples/lapig_goias_fieldwork_2022_50m
--id_field Vector column used as ID (use unique identifiers!) ID_POINTS
--output_name Output filename LAPIG_Pasture_S2_NDVI_Monitoring_FieldWork

If you don't know how to upload your vector data in Earth Engine, you can follow the tutorial clicking this link.

Command line example

python main.py --asset users/vieiramesquita/LAPIG_FieldSamples/lapig_goias_fieldwork_2022_50m --id_field ID_POINTS --output_name LAPIG_Pasture_S2_NDVI_Monitoring_FieldWork

Roadmap

  • Implement arguments to choose other zonal reducers (i.e. percentile, variance, etc.)
  • Implement arguments to choose other satellite data series (i.e. Landsat series, MODIS products)
  • Implement a visualization of the processed data (or samples of it)

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Toolkit created to extract median NDVI Time Series from Sentinel 2 data 🛰 stored in Google Earth Engine, perform gap filling and trend analysis image

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