How can I leverage geemap to implement the pixel-level-alignment exportation?

[suredream]

I tried geedim first. However, the nrows and ncols are not the same.

Can I use geemap?

# using the following code, I can export NAIP and LC08 at same scale and crs
# However, the nrows and ncols are not the same
# How can I use geedim get two geotiff which is aligned at pixel-level?

import geedim as gd
import ee

# Initialize the Earth Engine and geedim
ee.Initialize()
gd.Initialize()

# Define your Area of Interest (AOI)
aoi = ee.Geometry.Polygon([
    [[-122.5155, 37.7033],
     [-122.5155, 37.8333],
     [-122.3845, 37.8333],
     [-122.3845, 37.7033]]
])

# Search for NAIP images in the specified date range and region
naip_collection = ee.ImageCollection("USDA/NAIP/DOQQ") \
    .filterBounds(aoi) \
    .filterDate('2020-01-01', '2021-01-01') \
    .select(['R', 'G', 'B'])

# Use geedim to select and download the most recent image (or modify as needed)
naip_image = gd.download.BaseImage(naip_collection.first())

# Download the image as GeoTIFF in the original projection
naip_image.download(
    filename='naip_rgb.tif',
    region=aoi,
    scale=1,           # Scale=None preserves the original resolution
    crs=None               # CRS=None preserves the original projection
)

lst_image = gd.download.BaseImage(ee.ImageCollection("LANDSAT/LC08/C02/T1_TOA")
                                      .filterBounds(aoi) \
    .filterDate('2020-01-01', '2021-01-01') \
    .select(['B2', 'B3', 'B4']).mosaic())


# Download the image as GeoTIFF in the original projection
lst_image.download(
    filename='lst_composite.tif',
    region=aoi,
    scale=1,           # Scale=None preserves the original resolution
    crs=naip_image.crs               # CRS=None preserves the original projection
)

[giswqs]

Set crs_transform when exporting data.

https://book.geemap.org/chapters/07_data_export.html#to-local-drive