diff --git a/Dockerfile b/Dockerfile
index f6e52816..e16f0d8f 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,5 +1,7 @@
 FROM tiangolo/uvicorn-gunicorn-fastapi:python3.10-slim
 
+# Comment to trigger an image rebuild
+
 # Optional build argument for different environments
 ARG ENV
 
diff --git a/app/models/pydantic/jobs.py b/app/models/pydantic/jobs.py
index d5f6bb45..29535800 100644
--- a/app/models/pydantic/jobs.py
+++ b/app/models/pydantic/jobs.py
@@ -145,7 +145,7 @@ class GDALCOGJob(Job):
     vcpus = 8
     memory = 64000
     num_processes = 8
-    attempts = 2
+    attempts = 5
     attempt_duration_seconds = int(DEFAULT_JOB_DURATION * 1.5)
 
 
diff --git a/batch/python/export_to_gee.py b/batch/python/export_to_gee.py
index af3ab6a0..235fa0d6 100644
--- a/batch/python/export_to_gee.py
+++ b/batch/python/export_to_gee.py
@@ -1,5 +1,13 @@
 #!/usr/bin/env python
 
+# Required options:
+# --dataset {dataset}
+# --implementation {implementation}
+#
+# Assumes that the cog file to be uploaded is available at {implementation}.tif
+# Uploads the cog file to GCS at {GCS_BUCKET}/{dataset}/{implementation}.tif and
+# creates a GEE asset that links to that GCS URI.
+
 import json
 import os
 
@@ -35,7 +43,7 @@ def upload_cog_to_gcs(dataset, implementation):
     bucket = storage_client.bucket(GCS_BUCKET)
     blob = bucket.blob(f"{dataset}/{implementation}.tif")
 
-    blob.upload_from_filename("cog.tif")
+    blob.upload_from_filename(f"{implementation}.tif")
 
     return f"gs://{GCS_BUCKET}/{dataset}/{implementation}.tif"
 
@@ -44,7 +52,7 @@ def create_cog_backed_asset(dataset, implementation, gcs_path, service_account):
     credentials = ee.ServiceAccountCredentials(service_account, GCS_CREDENTIALS_FILE)
     ee.Initialize(credentials)
 
-    # delete any existing asset with the same dataset/implementatio
+    # delete any existing asset with the same dataset/implementation
     try:
         ee.data.deleteAsset(f"projects/{EE_PROJECT}/assets/{dataset}/{implementation}")
     except ee.EEException:
diff --git a/batch/scripts/cogify.sh b/batch/scripts/cogify.sh
index 3fb2d40b..2d44efe8 100755
--- a/batch/scripts/cogify.sh
+++ b/batch/scripts/cogify.sh
@@ -38,7 +38,7 @@ else
 fi
 
 # convert to COG using existing overviews, this adds some additional layout optimizations
-gdal_translate "${IMPLEMENTATION}_merged.tif" "${IMPLEMENTATION}.tif" -of COG -co COMPRESS=DEFLATE -co BLOCKSIZE="${BLOCK_SIZE}" -co BIGTIFF=IF_SAFER -co NUM_THREADS=ALL_CPUS -co OVERVIEWS=FORCE_USE_EXISTING --config GDAL_CACHEMAX 70% --config GDAL_NUM_THREADS ALL_CPUS
+gdal_translate "${IMPLEMENTATION}_merged.tif" "${IMPLEMENTATION}.tif" -of COG -co COMPRESS=DEFLATE -co BLOCKSIZE="${BLOCK_SIZE}" -co BIGTIFF=IF_SAFER -co NUM_THREADS=ALL_CPUS -co OVERVIEWS=FORCE_USE_EXISTING -co SPARSE_OK=TRUE --config GDAL_CACHEMAX 70% --config GDAL_NUM_THREADS ALL_CPUS
 
 # upload to data lake
 aws s3 cp "${IMPLEMENTATION}.tif" "${TARGET}"