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

--- language: - en tags: - climate pretty_name: 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: 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 - SCALE_FACTOR = ee.Number(10_000.0) # 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"] - OUT_BANDS = ["NDVI","EVI","TCG","valid"] + REFL_BANDS - hungary = (ee.FeatureCollection("FAO/GAUL/2015/level0") .filter(ee.Filter.eq("ADM0_NAME","Hungary")).geometry())