Merge karthik-devel branch #46

kvenkman · 2024-05-24T06:14:10Z

Initial draft of lesson markdown files in spanish, along with other clean up.

Adding .gitignore and an initial draft of the disturbance notebook as well.

replace 'Primeros pasos' with initial configuration file (spanish version)

jnywong

Two main things:

I could not run book/3_Retrieving_Disturbance_Data.py because the dist_utils package was missing from the environment.
I could not run the last part of book/3_Retrieving_FloodData.py, perhaps because the catalog search returns the TIFF images in a OPERA_L3_DSWX-HLS_PROVISIONAL_V1 folder instead of OPERA_L3_DSWX-HLS_V1.

The rest of my review concerns minor formatting suggestions, including software pacakges in the conda environment.yml file, or updating the _toc.yml file of the Jupyter Book.

book/0_Configuracion_inicial.md

book/0_Initial_Setup.md

jnywong · 2024-05-28T09:43:57Z

book/0_Initial_Setup.md

+# Initial Configuration Steps for 2i2c Hub and EarthData NASA Access
+
+## 1. Accessing the 2i2c Hub
+
+To access the 2i2c Hub, follow these simple steps:
+
+* Go to the 2i2c Hub.


Suggested change

# Initial Configuration Steps for 2i2c Hub and EarthData NASA Access

## 1. Accessing the 2i2c Hub

To access the 2i2c Hub, follow these simple steps:

* Go to the 2i2c Hub.

This is duplicate information.

jnywong · 2024-05-28T10:20:34Z

book/3_Retrieving_FloodData.py

@@ -14,7 +14,7 @@

 # ## Retrieving OPERA DSWx-HLS data for a flood event


Suggested change

# ## Retrieving OPERA DSWx-HLS data for a flood event

# # Retrieving OPERA DSWx-HLS data for a flood event

jnywong · 2024-05-28T10:22:07Z

book/3_Retrieving_FloodData.py

@@ -14,7 +14,7 @@

 # ## Retrieving OPERA DSWx-HLS data for a flood event
 #
-# Heavy rains severly impacted Argentina in March 2024 [[1]](https://www.reuters.com/world/americas/argentina-downpour-drenches-crop-fields-flash-floods-buenos-aires-2024-03-12/). The event resulted in flash floods and impacted crop yields, severely impacting the Buenos Aires metropolitan area, and caused significant damage to property and human life. In this notebook, we will retrieve OPERA DSWx-HLS data associated to understand the extent of flooding and damage, and compare data from before and after the event.
+# Heavy rains severly impacted Argentina in March 2024 [[1]](https://www.reuters.com/world/americas/argentina-downpour-drenches-crop-fields-flash-floods-buenos-aires-2024-03-12/). The event resulted in flash floods and impacted crop yields, severely impacting the Buenos Aires metropolitan area, and caused significant damage to property and human life. In this notebook, we will retrieve [OPERA DSWx-HLS](https://d2pn8kiwq2w21t.cloudfront.net/documents/ProductSpec_DSWX_URS309746.pdf) data associated to understand the extent of flooding and damage, and compare data from before and after the event.


Suggested change

# Heavy rains severly impacted Argentina in March 2024 [[1]](https://www.reuters.com/world/americas/argentina-downpour-drenches-crop-fields-flash-floods-buenos-aires-2024-03-12/). The event resulted in flash floods and impacted crop yields, severely impacting the Buenos Aires metropolitan area, and caused significant damage to property and human life. In this notebook, we will retrieve [OPERA DSWx-HLS](https://d2pn8kiwq2w21t.cloudfront.net/documents/ProductSpec_DSWX_URS309746.pdf) data associated to understand the extent of flooding and damage, and compare data from before and after the event.

# Heavy rains severely impacted Argentina in March 2024 [[1]](https://www.reuters.com/world/americas/argentina-downpour-drenches-crop-fields-flash-floods-buenos-aires-2024-03-12/). The event resulted in flash floods and impacted crop yields, severely impacting the Buenos Aires metropolitan area, and caused significant damage to property and human life. In this notebook, we will retrieve the associated [OPERA DSWx-HLS](https://d2pn8kiwq2w21t.cloudfront.net/documents/ProductSpec_DSWX_URS309746.pdf) data to understand the extent of flooding and damage, and compare data from before and after the event.

jnywong · 2024-05-28T10:42:38Z

book/3_Retrieving_FloodData.py

@@ -79,7 +79,7 @@
 # Setup PySTAC client
 provider_cat = Client.open(STAC_URL)
 catalog = Client.open(f'{STAC_URL}/POCLOUD/')
-collections = ["OPERA_L3_DSWX-HLS_PROVISIONAL_V1"]
+collections = ["OPERA_L3_DSWX-HLS_V1"]


👏 for finding this bug!!

Unfortunately, I get an error later on at line 200 because the search returns references to the OPERA_L3_DSWX-HLS_PROVISIONAL_V1 for the TIFF files.

Error message:

RasterioIOError: '/vsicurl/https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-protected/OPERA_L3_DSWX-HLS_PROVISIONAL_V1/OPERA_L3_DSWx-HLS_T21HUC_20240301T134411Z_20240305T232837Z_L8_30_v1.0_B01_WTR.tif' not recognized as a supported file format.

jnywong · 2024-05-28T10:53:47Z

book/about_the_tutorial/Requirements.md


-  - To access the data used in this course, you will need a free NASA EarthData user account. You can create an account on the NASA EarthData website ([https://urs.earthdata.nasa.gov/ ](https://urs.earthdata.nasa.gov/)).
+  - To run the course notebooks, you will need a free 2i2c hub account. You can create an account on the 2i2c website (Link).


Authorization for the hub is controlled by membership of the ScienceCore GitHub Organization, so I recommend you encourage learners to contact the hub administrator for ScienceCore here.

jnywong · 2024-05-28T10:54:33Z

book/about_the_tutorial/Requirements.md


-  - To download the course source code, you will need a free user account on GitHub. You can create an account on the GitHub website (<https://github.com/>).
+* **Basic Python programming knowledge with focus in data analysis.**
+Since the course involves data manipulation and the use of code for spatial analysis, some experience with Python programming is required, particularly for data analysis. The course utilizes specialized Python libraries for working with spatial data. While not mandatory, familiarity with libraries like pandas (data analysis), geopandas (geographic data), or rasterio (reading/writing raster data) can be helpful.


Suggested change

Since the course involves data manipulation and the use of code for spatial analysis, some experience with Python programming is required, particularly for data analysis. The course utilizes specialized Python libraries for working with spatial data. While not mandatory, familiarity with libraries like pandas (data analysis), geopandas (geographic data), or rasterio (reading/writing raster data) can be helpful.

Since the course involves data manipulation and the use of code for spatial analysis, some experience with Python programming is required, particularly for data analysis. The course utilizes specialized Python libraries for working with spatial data. While not mandatory, familiarity with libraries like `pandas` (data analysis), `geopandas` (geographic data), or `rasterio` (reading/writing raster data) can be helpful.

dhavide

Let's get these merged so that the directories can be rearranged, see #59

Karthik Venkataramani and others added 25 commits May 16, 2024 19:09

add product spec doc link for dswx data

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adding gitignore

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images for the initial configuration file

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initial configuration file in Spanish

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replace 'Primeros pasos' with initial configuration file (spanish version)

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initial commit of disturbance code

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adding notebooks to gitignore

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kvenkman self-assigned this May 24, 2024

kvenkman requested review from dhavide and jmunroe May 24, 2024 06:14

kvenkman added 2 commits May 24, 2024 23:18

update collection for DSWx

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WIP

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kvenkman mentioned this pull request May 28, 2024

Document workflow for using Jupytext #42

Closed

jnywong reviewed May 28, 2024

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kvenkman and others added 3 commits May 28, 2024 13:34

WIP

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first completed draft of disturbance script

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Merge branch 'main' into karthik-devel

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dhavide approved these changes May 31, 2024

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dhavide merged commit 2706958 into main May 31, 2024

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Merge karthik-devel branch #46

Merge karthik-devel branch #46

kvenkman commented May 24, 2024

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dhavide left a comment

		@@ -14,7 +14,7 @@

		# ## Retrieving OPERA DSWx-HLS data for a flood event

	# ## Retrieving OPERA DSWx-HLS data for a flood event
	# # Retrieving OPERA DSWx-HLS data for a flood event


		- To access the data used in this course, you will need a free NASA EarthData user account. You can create an account on the NASA EarthData website ([https://urs.earthdata.nasa.gov/ ](https://urs.earthdata.nasa.gov/)).
		- To run the course notebooks, you will need a free 2i2c hub account. You can create an account on the 2i2c website (Link).

Merge karthik-devel branch #46

Merge karthik-devel branch #46

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