Update documentation

Author: e-marshall

.buildinfo

@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: d4a0a2a6b4cb94cd1f5ee028f7e57228
+config: 273d9aa2da45586da9304820f782d4f2
 tags: 645f666f9bcd5a90fca523b33c5a78b7

_downloads/1907feeabc6c03859417b98892d18134/itslive_tools.py

@@ -7,7 +7,7 @@
 
 def read_in_s3(http_url: str, chunks: Union[None, str, dict] = "auto") -> xr.Dataset:
     """
-    Reads a zarr datacube given an S3 URL using
+    Reads a zarr data cube given an S3 URL using
     xarray and returns it as a xr.Dataset.
 
     Parameters

_downloads/3f3ecbe135489e4234845ed30876882f/s1_tools.py

@@ -267,7 +267,7 @@ def extract_granule_id(filepath):
 
 
 # metadata wrangling processor
-def metadata_processor(vv_path: str, vh_path: str, ls_path: str, timeseries_type: str = "full"):
+def metadata_processor(vv_path: str, vh_path: str, ls_path: str, rtc_path:str, timeseries_type: str = "full"):
     cwd = pathlib.Path.cwd()
 
     # Read VRTs
@@ -280,7 +280,8 @@ def metadata_processor(vv_path: str, vh_path: str, ls_path: str, timeseries_type
     ds_ls = ds_ls.rename({"band_data": "ls"})
     # make file paths lists for each variable
 
-    s1_asf_data = pathlib.Path(f"../data/raster_data/{timeseries_type}_timeseries/asf_rtcs")
+    #s1_asf_data = pathlib.Path(f"../data/raster_data/{timeseries_type}_timeseries/asf_rtcs")
+    s1_asf_data = pathlib.Path(rtc_path)
     # Make file path lists for vv, vh, ls
     variables_ls = ["vv", "vh", "ls_map", "readme"]
     filepaths_dict = create_filenames_dict(s1_asf_data, variables_ls)