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Improve utility function for extracting point-based time series from Earth Engine #2284

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Merged
giswqs merged 1 commit into from
Jul 24, 2025
Merged

Improve utility function for extracting point-based time series from Earth Engine #2284

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33 changes: 16 additions & 17 deletions geemap/common.py
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Original file line number Diff line number Diff line change
Expand Up @@ -7765,13 +7765,13 @@ def extract_timeseries_to_point(
lat,
lon,
image_collection,
start_date,
end_date,
band_names,
start_date=None,
end_date=None,
band_names=None,
scale=None,
crs=None,
crsTransform=None,
out_df=None,
out_csv=None,
):
"""
Extracts pixel time series from an ee.ImageCollection at a point.
Expand All @@ -7780,18 +7780,17 @@ def extract_timeseries_to_point(
lat (float): Latitude of the point.
lon (float): Longitude of the point.
image_collection (ee.ImageCollection): Image collection to sample.
start_date (str): Start date (e.g., '2020-01-01').
end_date (str): End date (e.g., '2020-12-31').
band_names (list): List of bands to extract.
scale (float): Sampling scale in meters.
start_date (str, optional): Start date (e.g., '2020-01-01').
end_date (str, optional): End date (e.g., '2020-12-31').
band_names (list, optional): List of bands to extract.
scale (float, optional): Sampling scale in meters.
crs (str, optional): Projection CRS. Defaults to image CRS.
crsTransform (list, optional): CRS transform matrix (3x2 row-major). Overrides scale.
out_df (str, optional): File path to save CSV. If None, returns a DataFrame.
out_csv (str, optional): File path to save CSV. If None, returns a DataFrame.

Returns:
pd.DataFrame or None: Time series data if not exporting to CSV.
"""

import pandas as pd
from datetime import datetime

Expand All @@ -7805,11 +7804,11 @@ def extract_timeseries_to_point(
point = ee.Geometry.Point([lon, lat])

try:
image_collection = (
image_collection.filterBounds(point)
.filterDate(start_date, end_date)
.select(band_names)
)
if start_date and end_date:
image_collection = image_collection.filterDate(start_date, end_date)
if band_names:
image_collection = image_collection.select(band_names)
image_collection = image_collection.filterBounds(point)
except Exception as e:
raise RuntimeError(f"Error filtering image collection: {e}")

Expand All @@ -7829,8 +7828,8 @@ def extract_timeseries_to_point(
lambda t: datetime.utcfromtimestamp(t / 1000)
)

if out_df:
result_df.to_csv(out_df, index=False)
if out_csv:
result_df.to_csv(out_csv, index=False)
else:
return result_df

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