+Earth Observation Datascience Cookbook
-This Project Pythia Cookbook covers … (replace ... with the main subject of your cookbook … e.g., working with radar data in Python)
+This Project Pythia Cookbook covers a range of earth observation example employing the Pangeo philosophy.
Motivation
-(Add a few sentences stating why this cookbook will be useful. What skills will you, “the chef”, gain once you have reached the end of the cookbook?)
+The motivation behind this book is to provide some examples of Pangeo-based workflows applied to realistic examples in earth observation.
Structure
-(State one or more sections that will comprise the notebook. E.g., This cookbook is broken up into two main sections - “Foundations” and “Example Workflows.” Then, describe each section below.)
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-Section 1 ( Replace with the title of this section, e.g. “Foundations” )
-(Add content for this section, e.g., “The foundational content includes … “)
-
-
-Section 2 ( Replace with the title of this section, e.g. “Example workflows” )
-(Add content for this section, e.g., “Example workflows include … “)
+This book comprises a set of real life examples.
+
+Classification
+This section offers an overview of …
Running the Notebooks
-You can either run the notebook using Binder or on your local machine.
+You can either run the notebook using Binder or on your local machine.
Running on Binder
The simplest way to interact with a Jupyter Notebook is through
-Binder, which enables the execution of a
+Binder, which enables the execution of a
Jupyter Book in the cloud. The details of how this works are not
important for now. All you need to know is how to launch a Pythia
Cookbooks chapter via Binder. Simply navigate your mouse to
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Running on Your Own Machine
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GitHub
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@@ -682,7 +645,7 @@ Flood Classification
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By the Project Pythia Community.
- Last updated on 1 August 2024.
+ Last updated on 2 August 2024.
diff --git a/searchindex.js b/searchindex.js
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"notebook": 0, "observ": 0, "our": 2, "over": 2, "own": 0, "posterior": 2, "prepar": 1, "random": 1, "refer": 4, "region": 1, "reverend": 2, "rgb": 1, "run": 0, "search": 1, "structur": 0, "thi": 3, "updat": 2, "visual": 1, "water": 2, "your": 0}})
\ No newline at end of file
-
+
+
-# (Replace_with_your_title) Cookbook
+# Earth Observation Datascience Cookbook
[](https://github.com/ProjectPythia/cookbook-template/actions/workflows/nightly-build.yaml)
[](https://binder.projectpythia.org/v2/gh/ProjectPythia/cookbook-template/main?labpath=notebooks)
[](https://zenodo.org/badge/latestdoi/475509405)
-This Project Pythia Cookbook covers ... (replace `...` with the main subject of your cookbook ... e.g., _working with radar data in Python_)
+This Project Pythia Cookbook covers a range of earth observation example employing the Pangeo philosophy.
## Motivation
-(Add a few sentences stating why this cookbook will be useful. What skills will you, "the chef", gain once you have reached the end of the cookbook?)
+The motivation behind this book is to provide some examples of Pangeo-based workflows applied to realistic examples in earth observation.
## Authors
-[First Author](@first-author), [Second Author](@second-author), etc. _Acknowledge primary content authors here_
+[Martin Schobben](@martinschobben), [Nikolas Pikall](@npikall)
### Contributors
-
- 
+
+ 
## Structure
-(State one or more sections that will comprise the notebook. E.g., _This cookbook is broken up into two main sections - "Foundations" and "Example Workflows."_ Then, describe each section below.)
+This book comprises a set of real life examples.
-### Section 1 ( Replace with the title of this section, e.g. "Foundations" )
+### Classification
-(Add content for this section, e.g., "The foundational content includes ... ")
-
-### Section 2 ( Replace with the title of this section, e.g. "Example workflows" )
-
-(Add content for this section, e.g., "Example workflows include ... ")
+This section offers an overview of ...
## Running the Notebooks
-You can either run the notebook using [Binder](https://binder.projectpythia.org/) or on your local machine.
+You can either run the notebook using [Binder](https://binder.eo-datascience-cookbook.org/) or on your local machine.
### Running on Binder
The simplest way to interact with a Jupyter Notebook is through
-[Binder](https://binder.projectpythia.org/), which enables the execution of a
+[Binder](https://binder.eo-datascience-cookbook.org/), which enables the execution of a
[Jupyter Book](https://jupyterbook.org) in the cloud. The details of how this works are not
important for now. All you need to know is how to launch a Pythia
Cookbooks chapter via Binder. Simply navigate your mouse to
@@ -61,20 +57,20 @@ If you are interested in running this material locally on your computer, you wil
(Replace "cookbook-example" with the title of your cookbooks)
-1. Clone the `https://github.com/ProjectPythia/cookbook-example` repository:
+1. Clone the `https://github.com/TUW-GEO/eo-datascience-cookbook` repository:
```bash
- git clone https://github.com/ProjectPythia/cookbook-example.git
+ git clone https://github.com/TUW-GEO/eo-datascience-cookbook
```
-1. Move into the `cookbook-example` directory
+1. Move into the `eo-datascience-cookbook` directory
```bash
- cd cookbook-example
+ cd eo-datascience-cookbook
```
1. Create and activate your conda environment from the `environment.yml` file
```bash
conda env create -f environment.yml
- conda activate cookbook-example
+ conda activate eo-datascience-cookbook
```
1. Move into the `notebooks` directory and start up Jupyterlab
```bash
diff --git a/genindex.html b/genindex.html
index 93b86f6..26d307a 100644
--- a/genindex.html
+++ b/genindex.html
@@ -53,22 +53,9 @@
-
-
-
@@ -76,7 +63,7 @@
-
+
@@ -183,7 +170,7 @@
-
+
GitHub
+
+
+
+