jdries

// Compute the Normalized Difference Vegetation Index (NDVI).
var nir = image.select('B5');
var red = image.select('B4');
var ndvi = nir.subtract(red).divide(nir.add(red)).rename('NDVI');


////ZONAL STATS
// Load input imagery: Landsat 7 5-year composite.
var image = ee.Image('LE7_TOA_5YEAR/2008_2012');

jdries

{
  "id": "CGLS_FCOVER_ANNUAL_MEAN",
  "summary": "Annual mean composite of Copernicus Global Land FCover",
  "description": "\nGiven a year and area of interest, returns a mean composite of [FCover](https://land.copernicus.eu/global/products/fcover).\n",
  "parameters": [
    {
      "name": "geometry",
      "description": "Geometry as GeoJSON feature(s).",
      "schema": {
        "type": "object",

jdries

from openeo.extra.job_management import MultiBackendJobManager
import openeo
from openeo.processes import array_create
from shapely.geometry import box
from geopandas import GeoDataFrame
import pandas as pd

extents = ({'west': 441000, 'east': 451000, 'south': 6283000, 'north': 6293000, 'crs': 'EPSG:25832'}, {'west': 441000, 'east': 451000, 'south': 6273000, 'north': 6283000, 'crs': 'EPSG:25832'}, {'west': 441000, 'east': 451000, 'south': 6263000, 'north': 6273000, 'crs': 'EPSG:25832'}, {'west': 441000, 'east': 451000, 'south': 6253000, 'north': 6263000, 'crs': 'EPSG:25832'}, {'west': 441000, 'east': 451000, 'south': 6243000, 'north': 6253000, 'crs': 'EPSG:25832'}, {'west': 441000, 'east': 451000, 'south': 6233000, 'north': 6243000, 'crs': 'EPSG:25832'}, {'west': 441000, 'east': 451000, 'south': 6223000, 'north': 6233000, 'crs': 'EPSG:25832'}, {'west': 441000, 'east': 451000, 'south': 6213000, 'north': 6223000, 'crs': 'EPSG:25832'}, {'west': 441000, 'east': 451000, 'south': 6203000, 'north': 6213000, 'crs': 

jdries