Removes GeoTIFF mask for HSIA production coverage

[BobTorgerson]

This PR removes the GeoTIFF mask for the hsia_arctic_production Rasdaman coverage as it was masking out valid pixels of communities on the shoreline in our https://seaiceatlas.org website.

You can see in the picture above that anywhere that color is being shown through the mask is a valid pixel that was incorrectly being marked as having no data. The code that was being used for this is in the check_geotiff function found here:

data-api/validate_request.py

Lines 73 to 121 in 3b919c0

	def check_geotiffs(lat, lon, coverages):
	"""Load a binary GeoTIFF mask corresponding to the coverage(s) requested, then use this to check if lat/lon has data available.
	Args:
	lat (int or float): latitude
	lon (int or float): longitude
	coverages (list): list of coverages to check for data availability
	Returns:
	True if valid, or HTTP 404 status code if no data was found
	"""
	for coverage in coverages:
	# Use the same GeoTIFF for all CMIP6 downscaled coverages.
	if coverage.startswith("cmip6_downscaled_"):
	coverage = "cmip6_downscaled"
	reference_geotiff = "geotiffs/" + coverage + ".tif"
	# Do not perform GeoTIFF check if the file does not exist.
	if not os.path.isfile(reference_geotiff):
	return True
	# Do not perform GeoTIFF check if the file does not open properly.
	# This seems safer than the alternative of hiding data due to a corrupt file.
	try:
	with rasterio.open(reference_geotiff) as dataset:
	if coverage in geotiff_projections:
	crs = geotiff_projections[coverage]
	else:
	crs = "EPSG:3338"
	if crs == "EPSG:4326":
	# check if lat/lon is within the dataset's geographic bounds
	if (
	dataset.bounds.left <= lon <= dataset.bounds.right
	and dataset.bounds.bottom <= lat <= dataset.bounds.top
	):
	row, col = dataset.index(lon, lat)
	if dataset.read(1)[row, col] == 1:
	return True
	else:
	x, y = project_latlon(lat, lon, crs)
	row, col = dataset.index(x, y)
	if 0 <= row < dataset.height and 0 <= col < dataset.width:
	if dataset.read(1)[row, col] == 1:
	return True
	except:
	return True
	return 404

NOTE: When this goes into production, we are going to want to clear the Earth Maps cache of the /seaice endpoint so we can get all valid data back again.

[charparr]

I was able to reproduce Bob's findings by taking the mask GeoTIFF that was removed in this PR, and comparing to a GeoTIFF of the production data (December 2024), and I observed the mask layer knocking out pixels of valid data.

[charparr]

Easy to test with a side-by-side requests for a location where we'd expect data, but we don't get it in prod: https://seaiceatlas.org/report/58.760/-69.500#report