Download_Landcover_Peru.py

import ee
ee.Initialize()

# Peru information 
regions = ee.FeatureCollection("FAO/GAUL/2015/level1").filter(
    ee.Filter.eq("ADM0_NAME", "Peru")
)

# Landcover product
landcover = ee.Image("COPERNICUS/Landcover/100m/Proba-V-C3/Global/2019")
classification = landcover.select("discrete_classification")

# Maximum region (máx 195 for GAUL-1 Peru)
count = regions.size().getInfo()

# Iterar sem .getInfo()
# This loop save each TIF region into Google Drive 
for i in range(count):
    region = ee.Feature(regions.toList(count).get(i))
    name = ee.String(region.get("ADM1_NAME"))

    task = ee.batch.Export.image.toDrive(
        image=classification.clip(region.geometry()),
        description=f"export_{i}",
        folder="EarthEngine_Exports",
        fileNamePrefix=name.replace(" ", "_").getInfo(),
        scale=100,
        region=region.geometry(),
        maxPixels=1e13
    )
    task.start()
    print(f"Exporting: {name.getInfo()}")