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jaelin215/sentinel-2-reanalysis-NDVI-EVI-TCG

Description This dataset contains Sentinel-2 raw bands and reanalysis (NDVI, EVI, TCG) with valid pixel fractions per field. Each parquet file contains multiple sunflower crop fields (identified as field_id). Each field has 36 time stamps per year which is 10-day interval aggregation of the values of scaled and filtered bands and reanalysis. Shape files of field polygons were loaded from Google Earth Engine (GEE) project assets. Content Country: Hungary Fields:… See the full description on the dataset page: https://huggingface.co/datasets/jaelin215/sentinel-2-reanalysis-NDVI-EVI-TCG.

sourceHugging Faceupdated 1y agoView on Hugging Face
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Description

This dataset contains Sentinel-2 raw bands and reanalysis (NDVI, EVI, TCG) with valid pixel fractions per field. Each parquet file contains multiple sunflower crop fields (identified as field_id). Each field has 36 time stamps per year which is 10-day interval aggregation of the values of scaled and filtered bands and reanalysis. Shape files of field polygons were loaded from Google Earth Engine (GEE) project assets.

Content

  • —Country: Hungary
  • —Fields: Sunflower
  • —Regions: ["Bacs-kiskun","Baranya","Bekes","Borsod-abauj-zemplen","Budapest", "Csongrad","Fejer","Gyor-moson-sopron","Hajdu-bihar","Heves", "Jasz-nagykun-szolnok","Komarom-esztergom","Nograd","Pest","Somogy", "Szabolcs-szatmar-bereg","Tolna","Vas","Veszprem","Zala"]

Parameters used

  • —POLY_YEAR = 2022 # polygons are fixed to EUCROPMAP 2022
  • —YEARS = [2019, 2020, 2021, 2022, 2023, 2024, 2025] # data (Sentinel-2) years to export
  • —CROP_NAME = "sunflower"
  • —SCALE = 10 # 10m resolution
  • —STEP_DAYS = 10 # 10-day interval
  • —TILESCALE = 4
  • —MAX_ACTIVE = 3 # GEE usually allows ~1–3 concurrent tasks
  • —SLEEP = 30
  • —SCALEFACTOR = ee.Number(10000.0) # convert Sentinel-2 bands integer to [-1,1]
  • —SCL_BAD = [3, 8, 9, 10, 11] # shadow, cloud med/high, cirrus, snow/ice
  • —REFL_BANDS = ["B2","B3","B4","B5","B6","B7","B8","B8A","B9","B11","B12"]
  • —OUTBANDS = ["NDVI","EVI","TCG","valid"] + REFLBANDS
  • —hungary = (ee.FeatureCollection("FAO/GAUL/2015/level0") .filter(ee.Filter.eq("ADM0_NAME","Hungary")).geometry())