From f753a1cf05b01a691b692a4f2d7a555758535ad3 Mon Sep 17 00:00:00 2001
From: arcisad <11005528+arcisad@users.noreply.github.com>
Date: Thu, 11 Jun 2026 02:50:26 +0000
Subject: [PATCH 01/10] add logic for version 4 and 5

---
 .gitignore              |    3 +
 dem_handler/dem/rema.py |  204 +-
 pixi.lock               | 3957 +++++++++++++++++++++++++++++++++++----
 pyproject.toml          |    5 +
 4 files changed, 3778 insertions(+), 391 deletions(-)

diff --git a/.gitignore b/.gitignore
index ec87674..348e652 100644
--- a/.gitignore
+++ b/.gitignore
@@ -24,6 +24,9 @@ build
 .pixi
 *.egg-info
 
+# ignore .env files
+.env
+
 
 # ignore the version file made by setuptools_scm
 dem_handler/_version.py
diff --git a/dem_handler/dem/rema.py b/dem_handler/dem/rema.py
index 3d87761..0494a0f 100644
--- a/dem_handler/dem/rema.py
+++ b/dem_handler/dem/rema.py
@@ -20,7 +20,6 @@
 from dem_handler.dem.geoid import apply_geoid
 from dem_handler.download.aws import download_egm_08_geoid
 
-
 # Create a custom type that allows use of BoundingBox or tuple(left, bottom, right, top)
 BBox = BoundingBox | tuple[float | int, float | int, float | int, float | int]
 
@@ -357,12 +356,48 @@ def _round_up_to_step(coord, origin, res):
 
 
 def read_rema_timeseries_vrt(
-    year,
-    bounds,
-    save_path,
-    resolution,
-    version_number=0.3,
+    year: int,
+    bounds: BBox,
+    save_path: str,
+    resolution: int,
+    aoi_name: str | None = "thwaites", # Reading data using indexing file doesn't need the aoi name.
+    endpoint: str = "umn1.osn.mghpcc.org",
+    s3_bucket: str = "cse-pgc-test",
+    remote_folder: str = "digital_earth_antarctica/v0.5",  # or "digital_earth_antarctica/v0.4/mosaics" for version 0.4
+    indexing_file: (
+        str | None
+    ) = "MultiTemporalREMAIndex.parquet",  # or None for version 0.4 which does not have an indexing file
 ):
+    """Reads the REMA timeseries .vrt or a provided indexing file for a given year and bounds, merging the intersecting tiles into one raster.
+
+    Parameters
+    ----------
+    year : int
+        The year for the DEM if the timeseries product is required.
+    bounds : BBox
+        Bounding box for the area of interest in 3031.
+    save_path : str
+        Local path to save the output tile.
+    resolution : int
+        Resolution of the required tiles, for example 10.
+    aoi_name : str | None, optional
+        Name of the area of interest, by default "thwaites". This is only used
+        when reading data without an indexing file.
+    endpoint : str, optional
+        Endpoint for the s3 datastore, by default "umn1.osn.mghpcc.org"
+    s3_bucket : str, optional
+        S3 bucket for the datastore, by default "cse-pgc-test"
+    remote_folder : str, optional
+        Remote folder in the s3 bucket where the data is stored, by default "digital_earth_antarctica/v0.5"
+    indexing_file : str | None, optional
+        Name of the indexing file in the remote datastore. 
+        If None, it will attempt to read directly from the vrt, which is the case for version 0.4 of the REMA timeseries product
+
+    Returns
+    -------
+    tuple[np.ndarray, Profile]
+        Tuple of the output tile array and its profile
+    """
 
     logging.info(f"Reading DEM .vrt from remote datastore")
     if not os.environ.get("REMA_AWS_ACCESS_KEY_ID"):
@@ -376,66 +411,121 @@ def read_rema_timeseries_vrt(
     else:
         aws_secret_access_key = os.environ.get("REMA_AWS_SECRET_ACCESS_KEY")
 
-    # S3-compatible endpoint
-    endpoint = "umn1.osn.mghpcc.org"
-    endpoint_url = "https://umn1.osn.mghpcc.org"
-
-    # File path inside the bucket
-    s3_bucket = "cse-pgc-test"
-    vrt_folder = f"digital_earth_antarctica/v{version_number}/mosaics/thwaites_remote"
-
     # Start boto3 session
     session = boto3.Session(
         aws_access_key_id=aws_access_key_id,
         aws_secret_access_key=aws_secret_access_key,
     )
 
-    # download and edit the vrt as the remote vrt references browse images and not the data
-    s3 = session.client("s3", endpoint_url=endpoint_url)
-
-    # check to ensure the year is there
-    vrt_pattern = re.compile(rf"thwaites_{resolution}m_remote_z_(\d+)\.vrt$")
-    # List all objects under prefix
-    paginator = s3.get_paginator("list_objects_v2")
-    pages = paginator.paginate(Bucket=s3_bucket, Prefix=vrt_folder)
-    valid_years = set()
-
-    for page in pages:
-        for obj in page.get("Contents", []):
-            key = obj["Key"]
-            match = vrt_pattern.search(key)
-            if match:
-                valid_years.add(int(match.group(1)))
-
-    years_list = sorted(valid_years)
-
-    if year not in valid_years:
-        raise ValueError(
-            f'The requested year "{year}" does not have a rema timeseries. '
-            f"valid years are : {years_list}"
+    endpoint_url = f"https://{endpoint}"
+
+    if indexing_file:
+        indexing_file_prefix = f"{remote_folder}/{indexing_file}"
+        print(f"Looking for indexing file at s3://{s3_bucket}/{indexing_file_prefix}")
+        storage_options = {
+            "key": aws_access_key_id,
+            "secret": aws_secret_access_key,
+            "client_kwargs": {"endpoint_url": endpoint_url},
+        }
+        indexing_file_path = f"s3://{s3_bucket}/{indexing_file_prefix}"
+        indexing_gdf = gpd.read_parquet(
+            indexing_file_path, storage_options=storage_options
         )
+        indexing_gdf = indexing_gdf[indexing_gdf.year == str(year)]
+        bounds_poly = box(*bounds)
+        indexing_gdf = indexing_gdf[indexing_gdf.intersects(bounds_poly)]
+        indexing_gdf = indexing_gdf[
+            indexing_gdf.dem_url.apply(
+                lambda x: os.path.basename(x).split("_")[2]
+            ) == str(resolution) + "m"
+        ]
+        dem_urls = indexing_gdf.dem_url.to_list()
 
-    vrt_path = f"{vrt_folder}/thwaites_{resolution}m_remote_z_{year}.vrt"
-    logging.info(f"Downloading .vrt from : {endpoint_url}/{vrt_path}")
-
-    response = s3.get_object(Bucket=s3_bucket, Key=vrt_path)
-    vrt_content = response["Body"].read()
-
-    with tempfile.NamedTemporaryFile("w", delete=False) as f:
-        f.write(vrt_content.decode("utf-8"))
-        temp_vrt = f.name
+        if len(dem_urls) == 0:
+            raise ValueError(
+                f"No DEM tiles found for the requested year {year}, "
+                f"resolution {resolution}m, and bounds {bounds}. "
+                f"Please check the indexing file and ensure there are tiles that intersect the requested bounds."
+            )
 
-    logging.info("Adjusting rema bounds to stop small offsets")
-    logging.info(f"original bounds : {bounds}")
-    bounds = adjust_bounds_for_rema_profile(bounds, [temp_vrt])
-    logging.info(f"adjusted bounds : {bounds}")
+        with rasterio.Env(
+            AWSSession(session),
+            AWS_S3_ENDPOINT=endpoint,
+            AWS_VIRTUAL_HOSTING=False,  # critical for non-AWS S3 providers
+        ):
+            remote_datasets = []
+            for url in dem_urls:
+                logging.info(f"Reading raster for bounds from remote vrt : {url}")
+                dataset = rasterio.open(url)
+                remote_datasets.append(dataset)
+
+            dem_array, dem_transform = rasterio.merge.merge(
+                remote_datasets, bounds=bounds
+            )
+            dem_profile = remote_datasets[0].profile.copy()
+            dem_array[dem_array == remote_datasets[0].nodata] = np.nan
+            dem_array = np.squeeze(dem_array)  # remove extra dimension added by merge
+            dem_profile.update(
+                {
+                    "driver": "GTiff",
+                    "height": dem_array.shape[0],
+                    "width": dem_array.shape[1],
+                    "transform": dem_transform,
+                    "count": 1,
+                    "nodata": np.nan,
+                }
+            )
+            with rasterio.open(save_path, "w", **dem_profile) as dst:
+                dst.write(dem_array, 1)
+    else:
+        # download and edit the vrt as the remote vrt references browse images and not the data
+        s3 = session.client("s3", endpoint_url=endpoint_url)
+
+        # check to ensure the year is there
+        vrt_pattern = re.compile(rf"{aoi_name}_.*?{resolution}m_dem_(\d+)\.vrt$")
+        # List all objects under prefix
+        paginator = s3.get_paginator("list_objects_v2")
+        pages = paginator.paginate(Bucket=s3_bucket, Prefix=remote_folder)
+        valid_years = set()
+        valid_files = {}
+
+        for page in pages:
+            for obj in page.get("Contents", []):
+                key = obj["Key"]
+                match = vrt_pattern.search(key)
+                if match:
+                    year_found = int(match.group(1))
+                    valid_years.add(year_found)
+                    valid_files[year_found] = key
+
+        years_list = sorted(valid_years)
+
+        if year not in valid_years:
+            raise ValueError(
+                f'The requested year "{year}" does not have a rema timeseries. '
+                f"valid years are : {years_list}"
+            )
 
-    with rasterio.Env(
-        AWSSession(session),
-        AWS_S3_ENDPOINT=endpoint,
-        AWS_VIRTUAL_HOSTING=False,  # critical for non-AWS S3 providers
-    ):
-        logging.info(f"Reading raster for bounds from remote vrt")
-        dem_array, dem_profile = read_raster_from_vrt(temp_vrt, bounds, save_path)
+        vrt_path = valid_files[year]
+        logging.info(f"Downloading .vrt from : {endpoint_url}/{vrt_path}")
+        response = s3.get_object(Bucket=s3_bucket, Key=vrt_path)
+        vrt_content = response["Body"].read()
+
+        with tempfile.NamedTemporaryFile("w", delete=False) as f:
+            f.write(vrt_content.decode("utf-8"))
+            temp_vrt = f.name
+
+        logging.info("Adjusting rema bounds to stop small offsets")
+        logging.info(f"original bounds : {bounds}")
+        bounds = adjust_bounds_for_rema_profile(bounds, [temp_vrt])
+        logging.info(f"adjusted bounds : {bounds}")
+
+        with rasterio.Env(
+            AWSSession(session),
+            AWS_S3_ENDPOINT=endpoint,
+            AWS_VIRTUAL_HOSTING=False,  # critical for non-AWS S3 providers
+        ):
+            logging.info(f"Reading raster for bounds from remote vrt")
+            dem_array, dem_profile = read_raster_from_vrt(temp_vrt, bounds, save_path)
 
     return dem_array, dem_profile
diff --git a/pixi.lock b/pixi.lock
index e5fbcad..1263c6d 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -18,12 +18,30 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/aioitertools-0.12.0-pyhd8ed1ab_1.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-25.4.0-pyh71513ae_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-auth-0.10.3-hea842a7_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-cal-0.9.14-h78948cc_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.14.0-hb03c661_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-compression-0.3.2-haa0cbde_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-event-stream-0.7.1-h9cf6be0_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-http-0.11.0-h6488f85_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-io-0.26.3-h5b668fc_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-mqtt-0.15.2-h0d2f46f_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-s3-0.12.5-hb916526_1.conda
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+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-crt-cpp-0.40.0-h41299d8_1.conda
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+      - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-core-cpp-1.16.2-h206d751_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-identity-cpp-1.13.3-hed0cdb0_1.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-he440d0b_1.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_8.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.5-hb9d3cd8_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.6-hb03c661_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2025.10.5-hbd8a1cb_0.conda
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@@ -34,10 +52,13 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/frozenlist-1.7.0-py313h6b9daa2_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/fsspec-2026.4.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gdal-3.10.3-py313h60f829d_26.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/geotiff-1.7.4-h1000f5c_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gflags-2.2.2-h5888daf_1005.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/giflib-5.2.2-hd590300_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/glog-0.7.1-hbabe93e_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.3.0-pyhcf101f3_0.conda
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+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libarrow-acero-24.0.0-h635bf11_5_cpu.conda
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+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libbrotlidec-1.2.0-hd53d788_0.conda
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.17.0-h4e3cde8_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcrc32c-1.1.2-h9c3ff4c_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.20.0-hcf29cc6_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.25-h17f619e_0.conda
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+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libevent-2.1.12-hf998b51_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.7.1-hecca717_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/libgomp-15.2.0-h767d61c_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgoogle-cloud-3.5.0-h8d2ee43_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgoogle-cloud-storage-3.5.0-hdbdcf42_1.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/libiconv-1.18-h3b78370_2.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/libkml-1.3.0-haa4a5bd_1022.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.8.1-hb9d3cd8_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libmpdec-4.0.0-hb9d3cd8_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.67.0-had1ee68_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.68.1-h877daf1_0.conda
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-  md5: 8035e5b54c08429354d5d64027041cad
+- conda: https://conda.anaconda.org/conda-forge/linux-64/zeromq-4.3.5-h09e67af_11.conda
+  sha256: dc9f28dedcb5f35a127fad2d847674d2833369dd616d294e423b8997df31d8a8
+  md5: 96b08867e21d4694fa5c2c226e6581b0
   depends:
-  - libstdcxx >=14
   - libgcc >=14
   - __glibc >=2.17,<3.0.a0
-  - libgcc >=14
-  - libsodium >=1.0.20,<1.0.21.0a0
-  - krb5 >=1.21.3,<1.22.0a0
+  - libstdcxx >=14
+  - krb5 >=1.22.2,<1.23.0a0
+  - libsodium >=1.0.22,<1.0.23.0a0
   license: MPL-2.0
   license_family: MOZILLA
   purls: []
-  size: 310648
-  timestamp: 1757370847287
-- conda: https://conda.anaconda.org/conda-forge/osx-64/zeromq-4.3.5-h6c33b1e_9.conda
-  sha256: 30aa5a2e9c7b8dbf6659a2ccd8b74a9994cdf6f87591fcc592970daa6e7d3f3c
-  md5: d940d809c42fbf85b05814c3290660f5
+  size: 311184
+  timestamp: 1779123989774
+- conda: https://conda.anaconda.org/conda-forge/osx-64/zeromq-4.3.5-h84953be_11.conda
+  sha256: 2ba9b6a3131b5a97641068559d38c044f37fd29b54c10dd6d073f1cf81fc4e4c
+  md5: 8a622d1db89d80a94477b1c03824d611
   depends:
-  - __osx >=10.13
   - libcxx >=19
-  - libsodium >=1.0.20,<1.0.21.0a0
-  - krb5 >=1.21.3,<1.22.0a0
+  - __osx >=11.0
+  - krb5 >=1.22.2,<1.23.0a0
+  - libsodium >=1.0.22,<1.0.23.0a0
   license: MPL-2.0
   license_family: MOZILLA
   purls: []
-  size: 259628
-  timestamp: 1757371000392
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zeromq-4.3.5-h888dc83_9.conda
-  sha256: b6f9c130646e5971f6cad708e1eee278f5c7eea3ca97ec2fdd36e7abb764a7b8
-  md5: 26f39dfe38a2a65437c29d69906a0f68
+  size: 260817
+  timestamp: 1779124180318
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zeromq-4.3.5-h10816f8_11.conda
+  sha256: 01fd50d2801b23b59fafea6bf704a6c5faf0f5969104400eae0e6572cb2e5304
+  md5: d31c0e54c4f9c51100ec8c812ee925d1
   depends:
-  - __osx >=11.0
   - libcxx >=19
-  - libsodium >=1.0.20,<1.0.21.0a0
-  - krb5 >=1.21.3,<1.22.0a0
+  - __osx >=11.0
+  - krb5 >=1.22.2,<1.23.0a0
+  - libsodium >=1.0.22,<1.0.23.0a0
   license: MPL-2.0
   license_family: MOZILLA
   purls: []
-  size: 244772
-  timestamp: 1757371008525
-- conda: https://conda.anaconda.org/conda-forge/win-64/zeromq-4.3.5-h5bddc39_9.conda
-  sha256: 690cf749692c8ea556646d1a47b5824ad41b2f6dfd949e4cdb6c44a352fcb1aa
-  md5: a6c8f8ee856f7c3c1576e14b86cd8038
+  size: 245404
+  timestamp: 1779124076307
+- conda: https://conda.anaconda.org/conda-forge/win-64/zeromq-4.3.5-h3a581c9_11.conda
+  sha256: c3e279cb309b153152fcdd6ee6d039ad996d563c849f06be39d85b8e3351df25
+  md5: f016c0c5f9c01549b259146614786192
   depends:
   - vc >=14.3,<15
   - vc14_runtime >=14.44.35208
   - ucrt >=10.0.20348.0
-  - vc >=14.3,<15
-  - vc14_runtime >=14.44.35208
-  - ucrt >=10.0.20348.0
-  - libsodium >=1.0.20,<1.0.21.0a0
-  - krb5 >=1.21.3,<1.22.0a0
+  - libsodium >=1.0.22,<1.0.23.0a0
+  - krb5 >=1.22.2,<1.23.0a0
   license: MPL-2.0
   license_family: MOZILLA
   purls: []
-  size: 265212
-  timestamp: 1757370864284
+  size: 265717
+  timestamp: 1779124031378
 - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.23.0-pyhd8ed1ab_0.conda
   sha256: 7560d21e1b021fd40b65bfb72f67945a3fcb83d78ad7ccf37b8b3165ec3b68ad
   md5: df5e78d904988eb55042c0c97446079f
@@ -7545,53 +10835,52 @@ packages:
   - pkg:pypi/zipp?source=hash-mapping
   size: 22963
   timestamp: 1749421737203
-- conda: https://conda.anaconda.org/conda-forge/linux-64/zlib-1.3.1-hb9d3cd8_2.conda
-  sha256: 5d7c0e5f0005f74112a34a7425179f4eb6e73c92f5d109e6af4ddeca407c92ab
-  md5: c9f075ab2f33b3bbee9e62d4ad0a6cd8
+- conda: https://conda.anaconda.org/conda-forge/linux-64/zlib-1.3.2-h25fd6f3_2.conda
+  sha256: 245c9ee8d688e23661b95e3c6dd7272ca936fabc03d423cdb3cdee1bbcf9f2f2
+  md5: c2a01a08fc991620a74b32420e97868a
   depends:
   - __glibc >=2.17,<3.0.a0
-  - libgcc >=13
-  - libzlib 1.3.1 hb9d3cd8_2
+  - libzlib 1.3.2 h25fd6f3_2
   license: Zlib
   license_family: Other
   purls: []
-  size: 92286
-  timestamp: 1727963153079
-- conda: https://conda.anaconda.org/conda-forge/osx-64/zlib-1.3.1-hd23fc13_2.conda
-  sha256: 219edbdfe7f073564375819732cbf7cc0d7c7c18d3f546a09c2dfaf26e4d69f3
-  md5: c989e0295dcbdc08106fe5d9e935f0b9
+  size: 95931
+  timestamp: 1774072620848
+- conda: https://conda.anaconda.org/conda-forge/osx-64/zlib-1.3.2-hbb4bfdb_2.conda
+  sha256: 5dd728cebca2e96fa48d41661f1a35ed0ee3cb722669eee4e2d854c6745655eb
+  md5: 6276aa61ffc361cbf130d78cfb88a237
   depends:
-  - __osx >=10.13
-  - libzlib 1.3.1 hd23fc13_2
+  - __osx >=11.0
+  - libzlib 1.3.2 hbb4bfdb_2
   license: Zlib
   license_family: Other
   purls: []
-  size: 88544
-  timestamp: 1727963189976
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zlib-1.3.1-h8359307_2.conda
-  sha256: 58f8860756680a4831c1bf4f294e2354d187f2e999791d53b1941834c4b37430
-  md5: e3170d898ca6cb48f1bb567afb92f775
+  size: 92411
+  timestamp: 1774073075482
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zlib-1.3.2-h8088a28_2.conda
+  sha256: 8dd2ac25f0ba714263aac5832d46985648f4bfb9b305b5021d702079badc08d2
+  md5: f1c0bce276210bed45a04949cfe8dc20
   depends:
   - __osx >=11.0
-  - libzlib 1.3.1 h8359307_2
+  - libzlib 1.3.2 h8088a28_2
   license: Zlib
   license_family: Other
   purls: []
-  size: 77606
-  timestamp: 1727963209370
-- conda: https://conda.anaconda.org/conda-forge/win-64/zlib-1.3.1-h2466b09_2.conda
-  sha256: 8c688797ba23b9ab50cef404eca4d004a948941b6ee533ead0ff3bf52012528c
-  md5: be60c4e8efa55fddc17b4131aa47acbd
+  size: 81123
+  timestamp: 1774072974535
+- conda: https://conda.anaconda.org/conda-forge/win-64/zlib-1.3.2-hfd05255_2.conda
+  sha256: ef408f85f664a4b9c9dac3cb2e36154d9baa15a88984ea800e11060e0f2394a1
+  md5: 5187ecf958be3c39110fe691cbd6873e
   depends:
-  - libzlib 1.3.1 h2466b09_2
+  - libzlib 1.3.2 hfd05255_2
   - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
   license: Zlib
   license_family: Other
   purls: []
-  size: 107439
-  timestamp: 1727963788936
+  size: 850351
+  timestamp: 1774072891049
 - conda: https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.25.0-py313h54dd161_0.conda
   sha256: 9d79d176afe50361cc3fd4366bedff20852dbea1e5b03f358b55f12aca22d60d
   md5: 1fe43bd1fc86e22ad3eb0edec637f8a2
diff --git a/pyproject.toml b/pyproject.toml
index 64bdd4b..f4fc101 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -54,6 +54,11 @@ rasterio = ">=1.4.3"
 pyogrio = ">=0.10.0"
 multiprocess = ">=0.70.17"
 aioboto3 = "==14.1.0"
+pip = ">=26.1.2,<27"
+python-dotenv = ">=1.2.2,<2"
+pyarrow = ">=24.0.0,<25"
+fsspec = ">=2026.4.0,<2027"
+s3fs = ">=2026.4.0,<2027"
 
 [tool.pixi.environments]
 default = { solve-group = "default" }

From 8ae7ae9d0c2647c74461fd0938586fadc3728c8a Mon Sep 17 00:00:00 2001
From: arcisad <11005528+arcisad@users.noreply.github.com>
Date: Thu, 11 Jun 2026 03:21:02 +0000
Subject: [PATCH 02/10] black

---
 dem_handler/dem/rema.py         | 17 +++++++++--------
 tests/cop_glo30/test_dem_cop.py |  1 -
 tests/rema/test_dem_rema.py     |  1 -
 3 files changed, 9 insertions(+), 10 deletions(-)

diff --git a/dem_handler/dem/rema.py b/dem_handler/dem/rema.py
index 0494a0f..06ed0e1 100644
--- a/dem_handler/dem/rema.py
+++ b/dem_handler/dem/rema.py
@@ -360,13 +360,15 @@ def read_rema_timeseries_vrt(
     bounds: BBox,
     save_path: str,
     resolution: int,
-    aoi_name: str | None = "thwaites", # Reading data using indexing file doesn't need the aoi name.
+    aoi_name: (
+        str | None
+    ) = "thwaites",  # Reading data using indexing file doesn't need the aoi name.
     endpoint: str = "umn1.osn.mghpcc.org",
     s3_bucket: str = "cse-pgc-test",
-    remote_folder: str = "digital_earth_antarctica/v0.5",  # or "digital_earth_antarctica/v0.4/mosaics" for version 0.4
+    remote_folder: str = "digital_earth_antarctica/v0.4/mosaics",  # or "digital_earth_antarctica/v0.5" for version 0.5
     indexing_file: (
         str | None
-    ) = "MultiTemporalREMAIndex.parquet",  # or None for version 0.4 which does not have an indexing file
+    ) = None,  # or "MultiTemporalREMAIndex.parquet" for version 0.5
 ):
     """Reads the REMA timeseries .vrt or a provided indexing file for a given year and bounds, merging the intersecting tiles into one raster.
 
@@ -388,9 +390,9 @@ def read_rema_timeseries_vrt(
     s3_bucket : str, optional
         S3 bucket for the datastore, by default "cse-pgc-test"
     remote_folder : str, optional
-        Remote folder in the s3 bucket where the data is stored, by default "digital_earth_antarctica/v0.5"
+        Remote folder in the s3 bucket where the data is stored, by default "digital_earth_antarctica/v0.4/mosaics"
     indexing_file : str | None, optional
-        Name of the indexing file in the remote datastore. 
+        Name of the indexing file in the remote datastore.
         If None, it will attempt to read directly from the vrt, which is the case for version 0.4 of the REMA timeseries product
 
     Returns
@@ -435,9 +437,8 @@ def read_rema_timeseries_vrt(
         bounds_poly = box(*bounds)
         indexing_gdf = indexing_gdf[indexing_gdf.intersects(bounds_poly)]
         indexing_gdf = indexing_gdf[
-            indexing_gdf.dem_url.apply(
-                lambda x: os.path.basename(x).split("_")[2]
-            ) == str(resolution) + "m"
+            indexing_gdf.dem_url.apply(lambda x: os.path.basename(x).split("_")[2])
+            == str(resolution) + "m"
         ]
         dem_urls = indexing_gdf.dem_url.to_list()
 
diff --git a/tests/cop_glo30/test_dem_cop.py b/tests/cop_glo30/test_dem_cop.py
index 554af90..4d8cfbc 100644
--- a/tests/cop_glo30/test_dem_cop.py
+++ b/tests/cop_glo30/test_dem_cop.py
@@ -7,7 +7,6 @@
 import pytest
 import shutil
 
-
 CURRENT_DIR = Path(__file__).parent.resolve()
 TEST_PATH = CURRENT_DIR.parent
 TEST_DATA_PATH = CURRENT_DIR / "data"
diff --git a/tests/rema/test_dem_rema.py b/tests/rema/test_dem_rema.py
index 3282902..5307ee9 100644
--- a/tests/rema/test_dem_rema.py
+++ b/tests/rema/test_dem_rema.py
@@ -10,7 +10,6 @@
 from pathlib import Path
 from shapely import box
 
-
 CURRENT_DIR = Path(__file__).parent.resolve()
 TEST_DATA_PATH = CURRENT_DIR.parent
 GEOID_DATA_PATH = TEST_DATA_PATH / "data" / "geoid"

From 90f8ee55c0630fee7a279a63f086982fe607400e Mon Sep 17 00:00:00 2001
From: arcisad <11005528+arcisad@users.noreply.github.com>
Date: Thu, 11 Jun 2026 04:15:25 +0000
Subject: [PATCH 03/10] fix typo

---
 dem_handler/dem/rema.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/dem_handler/dem/rema.py b/dem_handler/dem/rema.py
index 06ed0e1..975f19a 100644
--- a/dem_handler/dem/rema.py
+++ b/dem_handler/dem/rema.py
@@ -456,7 +456,7 @@ def read_rema_timeseries_vrt(
         ):
             remote_datasets = []
             for url in dem_urls:
-                logging.info(f"Reading raster for bounds from remote vrt : {url}")
+                logging.info(f"Reading raster from: {url}")
                 dataset = rasterio.open(url)
                 remote_datasets.append(dataset)
 

From 0f610cfd1f0d9df02a2f060e7b617c65d8f24892 Mon Sep 17 00:00:00 2001
From: arcisad <11005528+arcisad@users.noreply.github.com>
Date: Thu, 11 Jun 2026 05:06:27 +0000
Subject: [PATCH 04/10] update rema code

---
 dem_handler/__init__.py |  17 +++++-
 dem_handler/dem/rema.py |  13 ++++-
 pixi.lock               | 123 +++++++++++++++++++++++++++++++++++++++-
 pyproject.toml          |   1 +
 4 files changed, 150 insertions(+), 4 deletions(-)

diff --git a/dem_handler/__init__.py b/dem_handler/__init__.py
index 668612c..4132be5 100644
--- a/dem_handler/__init__.py
+++ b/dem_handler/__init__.py
@@ -6,9 +6,24 @@
 REMA_GPKG_PATH = DATA_DIR / Path("REMA_Mosaic_Index_v2.gpkg")
 COP30_GPKG_PATH = DATA_DIR / Path("copdem_tindex_filename.gpkg")
 
-REMAResolutions = typing.Literal[2, 10, 32]
+REMAResolutions = typing.Literal[2, 10, 30, 32]
 COPResolutions = typing.Literal[30]
 ValidDEMResolutions = typing.Literal[REMAResolutions, COPResolutions]
 
 REMA_VALID_RESOLUTIONS = typing.get_args(REMAResolutions)
 COP_VALID_RESOLUTIONS = typing.get_args(COPResolutions)
+
+# TODO - hardcoded for now, but we should probably have a more robust way of handling this in the future, especially as we add more versions of REMA
+# This should be also reflected in sar pipeline
+REMA_REMOTE_CONFIG = {
+    "v0.4:": {
+        "aoi_name": "thwaites",
+        "remote_folder": "digital_earth_antarctica/v0.4/mosaics",
+        "indexing_file": None,
+    },
+    "v0.5": {
+        "aoi_name": None,  # not needed for version 0.5 as we are using the indexing file to find the vrt
+        "remote_folder": "digital_earth_antarctica/v0.5",
+        "indexing_file": "MultiTemporalREMAIndex.parquet",
+    },
+}
diff --git a/dem_handler/dem/rema.py b/dem_handler/dem/rema.py
index 975f19a..b872cc0 100644
--- a/dem_handler/dem/rema.py
+++ b/dem_handler/dem/rema.py
@@ -23,7 +23,12 @@
 # Create a custom type that allows use of BoundingBox or tuple(left, bottom, right, top)
 BBox = BoundingBox | tuple[float | int, float | int, float | int, float | int]
 
-from dem_handler import REMA_GPKG_PATH, REMA_VALID_RESOLUTIONS, REMAResolutions
+from dem_handler import (
+    REMA_GPKG_PATH,
+    REMA_VALID_RESOLUTIONS,
+    REMAResolutions,
+    REMA_REMOTE_CONFIG,
+)
 
 
 @log_timing
@@ -213,12 +218,18 @@ def get_rema_dem_for_bounds(
 
     else:
         # Read in the rema timeseries dem from appropriate vrt
+        if resolution == 30:
+            rema_remote_config = REMA_REMOTE_CONFIG["v0.5"]
+        else:
+            rema_remote_config = REMA_REMOTE_CONFIG["v0.4"]
+
         logging.info("Reading in REMA timeseries .vrt")
         dem_array, dem_profile = read_rema_timeseries_vrt(
             year=rema_year,
             bounds=bounds,
             save_path=save_path,
             resolution=resolution,
+            **rema_remote_config,
         )
         raster_paths = []
 
diff --git a/pixi.lock b/pixi.lock
index 1263c6d..7e94be3 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -36,6 +36,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-blobs-cpp-12.17.0-hf824e48_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-common-cpp-12.13.0-ha7a2c86_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-files-datalake-cpp-12.15.0-h1e5b466_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/black-24.10.0-py313h78bf25f_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-he440d0b_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/boto3-1.37.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/botocore-1.37.1-pyge310_1234567_0.conda
@@ -134,14 +135,17 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/minizip-4.0.10-h05a5f5f_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/multidict-6.6.3-py313h8060acc_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/multiprocess-0.70.18-py313h54dd161_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/mypy_extensions-1.1.0-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h2d0b736_3.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/nlohmann_json-3.12.0-h54a6638_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/numpy-2.3.4-py313hf6604e3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.6.3-h35e630c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/orc-2.3.0-h21090e2_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-25.0-pyh29332c3_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pathspec-1.1.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.46-h1321c63_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pip-26.1.2-pyh145f28c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.5.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/proj-9.7.0-hb72c0af_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/prometheus-cpp-1.3.0-ha5d0236_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/propcache-0.3.1-py313h8060acc_0.conda
@@ -214,6 +218,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-64/azure-storage-blobs-cpp-12.17.0-hefc3566_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/azure-storage-common-cpp-12.13.0-h74781cd_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/azure-storage-files-datalake-cpp-12.15.0-haae7687_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/black-24.10.0-py313habf4b1d_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/blosc-1.21.6-hd145fbb_1.conda
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   size: 447146
   timestamp: 1778870637703
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+  license: MIT
+  license_family: MIT
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+  timestamp: 1728503903590
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+  - python_abi 3.13.* *_cp313
+  license: MIT
+  license_family: MIT
+  purls:
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+  size: 400395
+  timestamp: 1728503832399
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/black-24.10.0-py313h8f79df9_0.conda
+  sha256: d715a26b2cedd0aaca82983a3582ea9ab662f078b49a4cceb2cc61d025f95bd5
+  md5: 953f9d3da2b0358509ea0faec2f2311e
+  depends:
+  - click >=8.0.0
+  - mypy_extensions >=0.4.3
+  - packaging >=22.0
+  - pathspec >=0.9
+  - platformdirs >=2
+  - python >=3.13,<3.14.0a0
+  - python >=3.13,<3.14.0a0 *_cp313
+  - python_abi 3.13.* *_cp313
+  license: MIT
+  license_family: MIT
+  purls:
+  - pkg:pypi/black?source=hash-mapping
+  size: 397986
+  timestamp: 1728503908150
+- conda: https://conda.anaconda.org/conda-forge/win-64/black-24.10.0-py313hfa70ccb_0.conda
+  sha256: 8f99d23fbcf0ce5fe852e2373e154dac8628497fbee15f0f9f4851a2f5ddc30b
+  md5: 9e5290e06324d03e6d2e18b410620696
+  depends:
+  - click >=8.0.0
+  - mypy_extensions >=0.4.3
+  - packaging >=22.0
+  - pathspec >=0.9
+  - platformdirs >=2
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  license: MIT
+  license_family: MIT
+  purls:
+  - pkg:pypi/black?source=hash-mapping
+  size: 422911
+  timestamp: 1728504578146
 - conda: https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-he440d0b_1.conda
   sha256: e7af5d1183b06a206192ff440e08db1c4e8b2ca1f8376ee45fb2f3a85d4ee45d
   md5: 2c2fae981fd2afd00812c92ac47d023d
@@ -3447,8 +3544,8 @@ packages:
   timestamp: 1740385067843
 - pypi: ./
   name: dem-handler
-  version: 0.2.5.dev6+ga90c08208.d20260611
-  sha256: 170d54bac3dbe821e37a17589f9675bb45468d624dd1698ceb1d59ec6760a177
+  version: 0.2.5.dev9+g90f8ee55c.d20260611
+  sha256: fa10b01849df875bddc304994e15dd2b2404d7b6e40b70e2df94c5528fa14e2b
   requires_dist:
   - boto3>=1.37.1
   - geopandas>=1.0.1
@@ -8038,6 +8135,17 @@ packages:
   - pkg:pypi/multiprocess?source=hash-mapping
   size: 375012
   timestamp: 1756218013031
+- conda: https://conda.anaconda.org/conda-forge/noarch/mypy_extensions-1.1.0-pyha770c72_0.conda
+  sha256: 6ed158e4e5dd8f6a10ad9e525631e35cee8557718f83de7a4e3966b1f772c4b1
+  md5: e9c622e0d00fa24a6292279af3ab6d06
+  depends:
+  - python >=3.9
+  license: MIT
+  license_family: MIT
+  purls:
+  - pkg:pypi/mypy-extensions?source=hash-mapping
+  size: 11766
+  timestamp: 1745776666688
 - conda: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h2d0b736_3.conda
   sha256: 3fde293232fa3fca98635e1167de6b7c7fda83caf24b9d6c91ec9eefb4f4d586
   md5: 47e340acb35de30501a76c7c799c41d7
@@ -8725,6 +8833,17 @@ packages:
   - pkg:pypi/parso?source=hash-mapping
   size: 81562
   timestamp: 1755974222274
+- conda: https://conda.anaconda.org/conda-forge/noarch/pathspec-1.1.1-pyhd8ed1ab_0.conda
+  sha256: 6eaee417d33f298db79bc7185ab1208604c0e6cf51dade34cd513c6f9db9c6f3
+  md5: 11adc78451c998c0fd162584abfa3559
+  depends:
+  - python >=3.10
+  license: MPL-2.0
+  license_family: MOZILLA
+  purls:
+  - pkg:pypi/pathspec?source=hash-mapping
+  size: 56559
+  timestamp: 1777271601895
 - conda: https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.46-h1321c63_0.conda
   sha256: 5c7380c8fd3ad5fc0f8039069a45586aa452cf165264bc5a437ad80397b32934
   md5: 7fa07cb0fb1b625a089ccc01218ee5b1
diff --git a/pyproject.toml b/pyproject.toml
index f4fc101..6dcd960 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -59,6 +59,7 @@ python-dotenv = ">=1.2.2,<2"
 pyarrow = ">=24.0.0,<25"
 fsspec = ">=2026.4.0,<2027"
 s3fs = ">=2026.4.0,<2027"
+black = "24.10.0.*"
 
 [tool.pixi.environments]
 default = { solve-group = "default" }

From 7678174a4365643aada5dc916945e02a44c28bfc Mon Sep 17 00:00:00 2001
From: arcisad <11005528+arcisad@users.noreply.github.com>
Date: Thu, 11 Jun 2026 22:36:05 +0000
Subject: [PATCH 05/10] update code with config file

---
 dem_handler/__init__.py | 15 ---------------
 dem_handler/dem/rema.py | 32 +++++++++++++++++++++++++++-----
 rema_series_config.json | 20 ++++++++++++++++++++
 3 files changed, 47 insertions(+), 20 deletions(-)
 create mode 100644 rema_series_config.json

diff --git a/dem_handler/__init__.py b/dem_handler/__init__.py
index 4132be5..f7dc14b 100644
--- a/dem_handler/__init__.py
+++ b/dem_handler/__init__.py
@@ -12,18 +12,3 @@
 
 REMA_VALID_RESOLUTIONS = typing.get_args(REMAResolutions)
 COP_VALID_RESOLUTIONS = typing.get_args(COPResolutions)
-
-# TODO - hardcoded for now, but we should probably have a more robust way of handling this in the future, especially as we add more versions of REMA
-# This should be also reflected in sar pipeline
-REMA_REMOTE_CONFIG = {
-    "v0.4:": {
-        "aoi_name": "thwaites",
-        "remote_folder": "digital_earth_antarctica/v0.4/mosaics",
-        "indexing_file": None,
-    },
-    "v0.5": {
-        "aoi_name": None,  # not needed for version 0.5 as we are using the indexing file to find the vrt
-        "remote_folder": "digital_earth_antarctica/v0.5",
-        "indexing_file": "MultiTemporalREMAIndex.parquet",
-    },
-}
diff --git a/dem_handler/dem/rema.py b/dem_handler/dem/rema.py
index b872cc0..0e25da7 100644
--- a/dem_handler/dem/rema.py
+++ b/dem_handler/dem/rema.py
@@ -1,4 +1,5 @@
 from __future__ import annotations
+import json
 from pathlib import Path
 import shapely
 from shapely import box
@@ -27,7 +28,6 @@
     REMA_GPKG_PATH,
     REMA_VALID_RESOLUTIONS,
     REMAResolutions,
-    REMA_REMOTE_CONFIG,
 )
 
 
@@ -49,6 +49,7 @@ def get_rema_dem_for_bounds(
     num_tasks: int | None = None,
     return_paths: bool = False,
     download_dir: Path | str = "rema_dems_temp_folder",
+    rema_series_config_file: Path | str | None = None,
 ) -> tuple[np.ndarray, Profile | list[Path]] | list[Path] | tuple[None, None, None]:
     """Finds the REMA DEM tiles in a given bounding box and merges them into a single tile.
 
@@ -90,6 +91,12 @@ def get_rema_dem_for_bounds(
         Flag to return the local paths for downloaded DEMs only, by default False
     download_dir: Path | str , optional
         Directory to download the REMA DEMs to, by default "rema_dems_temp_folder"
+    rema_series_config_file: Path | str | None, optional
+        Path to the REMA series config file, by default None.
+        If None, it will look for a file named "rema_series_config.json" in the same directory as this script.
+        This config file contains information on the remote folder and indexing file names for different versions of the REMA timeseries product.
+        This is only used when reading the REMA timeseries product.
+
     Returns
     -------
     tuple[np.ndarray, Profile | list[Path]] | list[Path]
@@ -218,10 +225,24 @@ def get_rema_dem_for_bounds(
 
     else:
         # Read in the rema timeseries dem from appropriate vrt
-        if resolution == 30:
-            rema_remote_config = REMA_REMOTE_CONFIG["v0.5"]
+
+        if (rema_series_config_file is None) or (rema_series_config_file == ""):
+            project_path = Path(__file__).resolve().parents[2]
+            rema_series_config_file = project_path / "rema_series_config.json"
         else:
-            rema_remote_config = REMA_REMOTE_CONFIG["v0.4"]
+            rema_series_config_file = Path(rema_series_config_file).resolve()
+            if not rema_series_config_file.exists():
+                raise FileNotFoundError(
+                    f"REMA series config file not found at {rema_series_config_file}. "
+                    f"Please provide the correct path to the config file."
+                )
+
+        with open(rema_series_config_file) as f:
+            rema_remote_config_data = json.load(f)
+
+        rema_version = rema_remote_config_data["resolution"][str(resolution)]
+        rema_remote_config = rema_remote_config_data[rema_version]
+        aoi_name = rema_remote_config_data["aoi_name"][rema_version]
 
         logging.info("Reading in REMA timeseries .vrt")
         dem_array, dem_profile = read_rema_timeseries_vrt(
@@ -229,6 +250,7 @@ def get_rema_dem_for_bounds(
             bounds=bounds,
             save_path=save_path,
             resolution=resolution,
+            aoi_name=aoi_name,
             **rema_remote_config,
         )
         raster_paths = []
@@ -432,7 +454,7 @@ def read_rema_timeseries_vrt(
 
     endpoint_url = f"https://{endpoint}"
 
-    if indexing_file:
+    if indexing_file is not None:
         indexing_file_prefix = f"{remote_folder}/{indexing_file}"
         print(f"Looking for indexing file at s3://{s3_bucket}/{indexing_file_prefix}")
         storage_options = {
diff --git a/rema_series_config.json b/rema_series_config.json
new file mode 100644
index 0000000..50a263f
--- /dev/null
+++ b/rema_series_config.json
@@ -0,0 +1,20 @@
+{ 
+    "resolution": {
+        "30": "v0.5",
+        "32": "v0.4",
+        "10": "v0.4",
+        "2": "v0.4"
+    },
+    "aoi_name": {
+        "v0.4": "thwaites",
+        "v0.5": null
+    },
+    "v0.4:": {
+        "remote_folder": "digital_earth_antarctica/v0.4/mosaics",
+        "indexing_file": null
+    },
+    "v0.5": {
+        "remote_folder": "digital_earth_antarctica/v0.5",
+        "indexing_file": "MultiTemporalREMAIndex.parquet"
+    }
+}
\ No newline at end of file

From 79981cceab35ccb8e0fbd7bd9fa57f46ede005c3 Mon Sep 17 00:00:00 2001
From: arcisad <11005528+arcisad@users.noreply.github.com>
Date: Thu, 11 Jun 2026 23:42:30 +0000
Subject: [PATCH 06/10] update config

---
 rema_series_config.json | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/rema_series_config.json b/rema_series_config.json
index 50a263f..ad71d26 100644
--- a/rema_series_config.json
+++ b/rema_series_config.json
@@ -9,11 +9,15 @@
         "v0.4": "thwaites",
         "v0.5": null
     },
-    "v0.4:": {
+    "v0.4": {
+        "endpoint": "umn1.osn.mghpcc.org",
+        "s3_bucket": "cse-pgc-test",
         "remote_folder": "digital_earth_antarctica/v0.4/mosaics",
         "indexing_file": null
     },
     "v0.5": {
+        "endpoint": "umn1.osn.mghpcc.org",
+        "s3_bucket": "cse-pgc-test",
         "remote_folder": "digital_earth_antarctica/v0.5",
         "indexing_file": "MultiTemporalREMAIndex.parquet"
     }

From 3122ca305e4e971fe421c60657055b71e7d7f571 Mon Sep 17 00:00:00 2001
From: arcisad <11005528+arcisad@users.noreply.github.com>
Date: Fri, 12 Jun 2026 03:10:17 +0000
Subject: [PATCH 07/10] add geodataframe as input

---
 dem_handler/dem/rema.py | 82 +++++++++++++++++++++++++++++++----------
 1 file changed, 63 insertions(+), 19 deletions(-)

diff --git a/dem_handler/dem/rema.py b/dem_handler/dem/rema.py
index 0e25da7..5746d3e 100644
--- a/dem_handler/dem/rema.py
+++ b/dem_handler/dem/rema.py
@@ -388,10 +388,42 @@ def _round_up_to_step(coord, origin, res):
 from dem_handler.utils.raster import read_raster_from_vrt
 
 
+def read_indexing_file(indexing_file: str, storage_options: dict | None = None):
+    """Reads the indexing file for the REMA timeseries product,
+    which contains the urls for the individual DEM tiles and their metadata.
+    The indexing file can be read from a local path or from a remote datastore using the provided storage options.
+
+    Parameters
+    ----------
+    indexing_file : str
+        Path to the indexing file, either local or remote.
+    storage_options : dict, optional
+        Storage options for reading the indexing file from a remote datastore, by default None
+
+    Returns
+    -------
+    gpd.GeoDataFrame
+        GeoDataFrame containing the metadata and urls for the REMA DEM tiles
+    """
+    if os.path.exists(indexing_file):
+        print(f"Reading indexing file from local path: {indexing_file}")
+        indexing_gdf = gpd.read_parquet(indexing_file)
+    else:
+        try:
+            indexing_gdf = gpd.read_parquet(
+                indexing_file, storage_options=storage_options
+            )
+        except Exception as e:
+            raise FileNotFoundError(
+                f"Indexing file not found at {indexing_file}. Please provide the correct path to the indexing file."
+            ) from e
+    return indexing_gdf
+
+
 def read_rema_timeseries_vrt(
     year: int,
     bounds: BBox,
-    save_path: str,
+    save_path: str | None,
     resolution: int,
     aoi_name: (
         str | None
@@ -400,9 +432,9 @@ def read_rema_timeseries_vrt(
     s3_bucket: str = "cse-pgc-test",
     remote_folder: str = "digital_earth_antarctica/v0.4/mosaics",  # or "digital_earth_antarctica/v0.5" for version 0.5
     indexing_file: (
-        str | None
+        str | gpd.GeoDataFrame | None
     ) = None,  # or "MultiTemporalREMAIndex.parquet" for version 0.5
-):
+) -> tuple[np.ndarray, Profile]:
     """Reads the REMA timeseries .vrt or a provided indexing file for a given year and bounds, merging the intersecting tiles into one raster.
 
     Parameters
@@ -411,7 +443,7 @@ def read_rema_timeseries_vrt(
         The year for the DEM if the timeseries product is required.
     bounds : BBox
         Bounding box for the area of interest in 3031.
-    save_path : str
+    save_path : str | None
         Local path to save the output tile.
     resolution : int
         Resolution of the required tiles, for example 10.
@@ -424,8 +456,8 @@ def read_rema_timeseries_vrt(
         S3 bucket for the datastore, by default "cse-pgc-test"
     remote_folder : str, optional
         Remote folder in the s3 bucket where the data is stored, by default "digital_earth_antarctica/v0.4/mosaics"
-    indexing_file : str | None, optional
-        Name of the indexing file in the remote datastore.
+    indexing_file : str | gpd.GeoDataFrame | None, optional
+        Name of the indexing file in the remote datastore or a GeoDataFrame.
         If None, it will attempt to read directly from the vrt, which is the case for version 0.4 of the REMA timeseries product
 
     Returns
@@ -455,17 +487,28 @@ def read_rema_timeseries_vrt(
     endpoint_url = f"https://{endpoint}"
 
     if indexing_file is not None:
-        indexing_file_prefix = f"{remote_folder}/{indexing_file}"
-        print(f"Looking for indexing file at s3://{s3_bucket}/{indexing_file_prefix}")
-        storage_options = {
-            "key": aws_access_key_id,
-            "secret": aws_secret_access_key,
-            "client_kwargs": {"endpoint_url": endpoint_url},
-        }
-        indexing_file_path = f"s3://{s3_bucket}/{indexing_file_prefix}"
-        indexing_gdf = gpd.read_parquet(
-            indexing_file_path, storage_options=storage_options
-        )
+        if isinstance(indexing_file, gpd.GeoDataFrame):
+            print("Using provided GeoDataFrame as indexing file")
+            indexing_gdf = indexing_file
+        else:
+            if os.path.exists(indexing_file):
+                print(f"Reading indexing file from local path: {indexing_file}")
+                indexing_file_path = indexing_file
+                storage_options = None
+            else:
+                indexing_file_prefix = f"{remote_folder}/{indexing_file}"
+                print(
+                    f"Looking for indexing file at s3://{s3_bucket}/{indexing_file_prefix}"
+                )
+                storage_options = {
+                    "key": aws_access_key_id,
+                    "secret": aws_secret_access_key,
+                    "client_kwargs": {"endpoint_url": endpoint_url},
+                }
+                indexing_file_path = f"s3://{s3_bucket}/{indexing_file_prefix}"
+
+            indexing_gdf = read_indexing_file(indexing_file_path, storage_options)
+
         indexing_gdf = indexing_gdf[indexing_gdf.year == str(year)]
         bounds_poly = box(*bounds)
         indexing_gdf = indexing_gdf[indexing_gdf.intersects(bounds_poly)]
@@ -509,8 +552,9 @@ def read_rema_timeseries_vrt(
                     "nodata": np.nan,
                 }
             )
-            with rasterio.open(save_path, "w", **dem_profile) as dst:
-                dst.write(dem_array, 1)
+            if save_path is not None:
+                with rasterio.open(save_path, "w", **dem_profile) as dst:
+                    dst.write(dem_array, 1)
     else:
         # download and edit the vrt as the remote vrt references browse images and not the data
         s3 = session.client("s3", endpoint_url=endpoint_url)

From 6c5567a1649475108a2b9894e7528f5c5daa02ec Mon Sep 17 00:00:00 2001
From: arcisad <11005528+arcisad@users.noreply.github.com>
Date: Wed, 17 Jun 2026 00:46:20 +0000
Subject: [PATCH 08/10] skip bound checking for REMA v0.5

---
 dem_handler/__init__.py      | 3 +++
 dem_handler/utils/spatial.py | 7 +++++++
 2 files changed, 10 insertions(+)

diff --git a/dem_handler/__init__.py b/dem_handler/__init__.py
index f7dc14b..513a2f6 100644
--- a/dem_handler/__init__.py
+++ b/dem_handler/__init__.py
@@ -10,5 +10,8 @@
 COPResolutions = typing.Literal[30]
 ValidDEMResolutions = typing.Literal[REMAResolutions, COPResolutions]
 
+REMABoundCheckSkipResolutions = typing.Literal[30]
+
 REMA_VALID_RESOLUTIONS = typing.get_args(REMAResolutions)
 COP_VALID_RESOLUTIONS = typing.get_args(COPResolutions)
+REMA_BOUND_CHECK_SKIP_RESOLUTIONS = typing.get_args(REMABoundCheckSkipResolutions)
diff --git a/dem_handler/utils/spatial.py b/dem_handler/utils/spatial.py
index 49153ae..70cfadd 100644
--- a/dem_handler/utils/spatial.py
+++ b/dem_handler/utils/spatial.py
@@ -27,6 +27,7 @@
     REMA_VALID_RESOLUTIONS,
     ValidDEMResolutions,
     COP_VALID_RESOLUTIONS,
+    REMA_BOUND_CHECK_SKIP_RESOLUTIONS,
 )
 
 
@@ -581,6 +582,12 @@ def check_dem_type_in_bounds(
         dem_type_formal = "Copernicus 30m global DEM"
         layer = None  # only one layer
     elif "REMA" in dem_type_match and resolution in REMA_VALID_RESOLUTIONS:
+        if resolution in REMA_BOUND_CHECK_SKIP_RESOLUTIONS:
+            logger.info(
+                f"Skipping bounds check for {dem_type_formal} at {resolution}m resolution. "
+                f"Bound checking for this resolution is carried out later when querying the data."
+            )
+            return True
         dem_index_path = REMA_GPKG_PATH
         dem_type_formal = "REMA DEM"
         layer = f"REMA_Mosaic_Index_v2_{resolution}m"

From 9a2d58d54b416162430eceedbeca7a6a969a9d3e Mon Sep 17 00:00:00 2001
From: arcisad <11005528+arcisad@users.noreply.github.com>
Date: Wed, 17 Jun 2026 01:41:54 +0000
Subject: [PATCH 09/10] typo

---
 dem_handler/utils/spatial.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/dem_handler/utils/spatial.py b/dem_handler/utils/spatial.py
index 70cfadd..177fd70 100644
--- a/dem_handler/utils/spatial.py
+++ b/dem_handler/utils/spatial.py
@@ -584,7 +584,7 @@ def check_dem_type_in_bounds(
     elif "REMA" in dem_type_match and resolution in REMA_VALID_RESOLUTIONS:
         if resolution in REMA_BOUND_CHECK_SKIP_RESOLUTIONS:
             logger.info(
-                f"Skipping bounds check for {dem_type_formal} at {resolution}m resolution. "
+                f"Skipping bounds check for REMA DEM at {resolution}m resolution. "
                 f"Bound checking for this resolution is carried out later when querying the data."
             )
             return True

From f333a00e0a1af2b3f990d1f4ecf241a0fc8d80d2 Mon Sep 17 00:00:00 2001
From: arcisad <11005528+arcisad@users.noreply.github.com>
Date: Wed, 17 Jun 2026 02:06:01 +0000
Subject: [PATCH 10/10] update rema series config path

---
 dem_handler/__init__.py                                       | 1 +
 .../data/rema_series_config.json                              | 0
 dem_handler/dem/rema.py                                       | 4 ++--
 3 files changed, 3 insertions(+), 2 deletions(-)
 rename rema_series_config.json => dem_handler/data/rema_series_config.json (100%)

diff --git a/dem_handler/__init__.py b/dem_handler/__init__.py
index 513a2f6..e026e21 100644
--- a/dem_handler/__init__.py
+++ b/dem_handler/__init__.py
@@ -5,6 +5,7 @@
 DATA_DIR = Path(__file__).parent / Path("data")
 REMA_GPKG_PATH = DATA_DIR / Path("REMA_Mosaic_Index_v2.gpkg")
 COP30_GPKG_PATH = DATA_DIR / Path("copdem_tindex_filename.gpkg")
+REMA_SERIES_CONFIG_PATH = DATA_DIR / Path("rema_series_config.json")
 
 REMAResolutions = typing.Literal[2, 10, 30, 32]
 COPResolutions = typing.Literal[30]
diff --git a/rema_series_config.json b/dem_handler/data/rema_series_config.json
similarity index 100%
rename from rema_series_config.json
rename to dem_handler/data/rema_series_config.json
diff --git a/dem_handler/dem/rema.py b/dem_handler/dem/rema.py
index 5746d3e..de08a4f 100644
--- a/dem_handler/dem/rema.py
+++ b/dem_handler/dem/rema.py
@@ -26,6 +26,7 @@
 
 from dem_handler import (
     REMA_GPKG_PATH,
+    REMA_SERIES_CONFIG_PATH,
     REMA_VALID_RESOLUTIONS,
     REMAResolutions,
 )
@@ -227,8 +228,7 @@ def get_rema_dem_for_bounds(
         # Read in the rema timeseries dem from appropriate vrt
 
         if (rema_series_config_file is None) or (rema_series_config_file == ""):
-            project_path = Path(__file__).resolve().parents[2]
-            rema_series_config_file = project_path / "rema_series_config.json"
+            rema_series_config_file = REMA_SERIES_CONFIG_PATH
         else:
             rema_series_config_file = Path(rema_series_config_file).resolve()
             if not rema_series_config_file.exists():