Fix: ensure correct CRS in ee_to_gdf (fixes #2818)

[alepr]

Description of the Issue

The geemap.ee_to_gdf function currently assigns the CRS of the original ee.FeatureCollection directly to the resulting GeoDataFrame using gdf.crs = crs.

However, as indicated in the documentation for ee.data.computeFeatures, the method automatically reprojects all geometries to EPSG:4326 upon conversion. This creates a CRS mismatch where the GeoDataFrame is labeled with the original CRS (e.g., EPSG:32636) while the coordinates are actually in WGS84 (EPSG:4326).

Fixes #2818

Proposed Solution

To ensure the GeoDataFrame correctly matches the expected coordinate system, I have updated the function to:

1. Explicitly set the CRS of the resulting GeoDataFrame to EPSG:4326 (matching the API output).
2. Perform a to_crs() transformation to project the data back into the original CRS identified from the ee.FeatureCollection.

Code Changes

# Set the correct initial CRS from the API response
gdf = gdf.set_crs("EPSG:4326")

# Reproject to the original CRS
if crs:
    gdf = gdf.to_crs(crs)

[gemini-code-assist]

Code Review

This pull request updates the ee_to_gdf function in geemap/common.py to explicitly set the initial CRS of the GeoDataFrame to 'EPSG:4326' and then reproject it to the target CRS if one is provided. The review feedback suggests optimizing this process by checking if the target CRS is already 'EPSG:4326' to avoid redundant reprojection overhead.

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[Copilot]

Pull request overview

This PR fixes a CRS labeling mismatch in geemap.ee_to_gdf by aligning the GeoDataFrame’s initial CRS with the Earth Engine computeFeatures output (WGS84 / EPSG:4326) and then reprojecting back to the source FeatureCollection’s CRS.

Changes:

• Set the GeoDataFrame CRS to EPSG:4326 immediately after ee.data.computeFeatures.
• Reproject the GeoDataFrame back to the original FeatureCollection CRS via to_crs().

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