I'm new to GEE and am trying to get the average precipitation over a time period 1981-2019 for geometries along a transect. Here is my code:
def yearlyRainfall(year):
startDate = ee.Date.fromYMD(year, 1, 1)
endDate = startDate.advance(1, 'year')
filtered = chirps.filter(ee.Filter.date(startDate, endDate))
total = filtered.reduce(ee.Reducer.sum())
stats = total.reduceRegion(
reducer = ee.Reducer.mean(),
geometry = circles_collection,
scale = 5000,
)
f = ee.Feature(None,{
'year': year,
'precipitation': stats.get('precipitation_sum')
})
return f
years = ee.List.sequence(1981, 2019)
rainfallYears = ee.FeatureCollection(years.map(yearlyRainfall))
rainfalldf = geemap.ee_to_pandas(rainfallYears)
print(rainfalldf["precipitation"].mean())
This code can find the mean precipitation for all the geometries in circles_collection. However, I want to make a separate feature collection for each geometry within the feature collection so I can get the precipitation data for the individual geometries, rather than averaging all of them. Any help is appreciated.
Tried: adding "geo" parameter to yearlyRainfall(), produces error when trying to map over a function that takes in an alternate parameter