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  • @@ -656,7 +632,7 @@

    ICESat-2 and Landsat in the cloud

    ICESat-2 and Landsat in the cloud

    -

    imported on: 2024-01-29

    +

    imported on: 2024-02-01

    This notebook was originally developed by CryoCloud and NSIDC.

    @@ -667,8 +643,8 @@

    ICESat-2 and Landsat in the cloud

    ICESat-2 and Landsat cloud access and data integration

    This notebook ({nb-download}download <IS2_cloud_data_integration.ipynb>) builds off of the icepyx IS2_cloud_data_access.ipynb and ICESat-2 Hackweek Data Integration 1 tutorials. It illustrates the use of icepyx for accessing ICESat-2 data currently available through the AWS (Amazon Web Services) us-west2 hub s3 data bucket as well as data integration with Landsat (cloud-optimized geotiff) and ATM (downloaded csv) datasets.

    -

    raigqgqjyudi Learning Objectives **Goals** - Identify and locate ICESat-2 and Landsat data - Acquire data from the cloud - Open data in `pandas` and `xarray` and basic functioning of DataFrames

    -

    raigqgqjyudi Key Takeaway By the end of this tutorial, you will be able to visualize Landsat Cloud Optimized Geotiffs with ICESat-2 and ATM data.

    +

    fuswklwoxxoo Learning Objectives **Goals** - Identify and locate ICESat-2 and Landsat data - Acquire data from the cloud - Open data in `pandas` and `xarray` and basic functioning of DataFrames

    +

    fuswklwoxxoo Key Takeaway By the end of this tutorial, you will be able to visualize Landsat Cloud Optimized Geotiffs with ICESat-2 and ATM data.

    Notes

      diff --git a/external/appeears_csv_cloud_access.html b/external/appeears_csv_cloud_access.html index 57de3a83..4bfe7c31 100644 --- a/external/appeears_csv_cloud_access.html +++ b/external/appeears_csv_cloud_access.html @@ -272,30 +272,6 @@ subset data
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    How to work with AppEEARS CSV outputs in the cloud.

    How to work with AppEEARS CSV outputs in the cloud.

    -

    imported on: 2024-01-29

    +

    imported on: 2024-02-01

    This notebook was originally developed by LP DAAC to show how to work with AppEEARS CSV outputs directly in the cloud.

    diff --git a/external/cof-zarr-reformat.html b/external/cof-zarr-reformat.html index d7600ff6..a0f4207c 100644 --- a/external/cof-zarr-reformat.html +++ b/external/cof-zarr-reformat.html @@ -269,30 +269,6 @@ subset data
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  • @@ -578,7 +554,10 @@

    On this page

    How-To Guides Parking Lot

    This is a document to capture and organize How-To Guides that do not, yet, have a place in the Cookbook. I’ve pulled examples from the Hackday Google Doc

    Not all of these how-tos may be required. Some may be redundant. Some may be too complicated and could be broken into several How-Tos. Feel free to add comments, links, notes, etc under each suggested How-To. Also suggest changes to the wording. Following the Divio documentation guide, I’ve tried to name how-tos with descriptive names that start “How do I… ?”.

    -

    We need a page to explain terminology; collections, granules, …

    +

    How do I reformat data files?

    +

    How do I reproject and regrid?

    +

    How do I aggregate data?

    +

    How do I plot data?

    How do I use Harmony to reproject a data file?

    How do I search the USGS Landsat Cloud?

    How do I access data in the USGS Landsat Cloud?

    diff --git a/how-tos/plot.html b/how-tos/plot.html index f221b90a..f7b30c97 100644 --- a/how-tos/plot.html +++ b/how-tos/plot.html @@ -29,8 +29,6 @@ - - @@ -74,490 +72,12 @@ - +
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  • @@ -1346,8 +1322,8 @@

    - - reformat data files + + use APIs

    diff --git a/how-tos/use_apis.html b/how-tos/use_apis.html index 41161132..778e112c 100644 --- a/how-tos/use_apis.html +++ b/how-tos/use_apis.html @@ -30,7 +30,7 @@ - + @@ -235,30 +235,6 @@ subset data -
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  • @@ -567,13 +543,16 @@

    On this page

  • Using APIs
  • How do I know?
    • +
  • NASA API Examples +
    • @@ -601,38 +580,41 @@

    How do I access data using APIs?

    Using APIs

    -

    Coming soon: Intro with short explicit description. APIs - What are they? Borrow from get-started/api-primer.md

    +

    API stands for Application Programming Interface, and is basically “like a digital mediator that enables different software applications to talk to each other and exchange information. It defines the methods, parameters, and data formats you can use to access certain features or retrieve data from an application or service.” (How to Use An API)

    How do I know?

    How do I know what API services are available for a dataset?

    -

    Some but not all datasets have API services that can reproject, resample or reformat files on the server file. This How-To shows how to find which services are available.

    - -
    -

    Services using CMR

    -

    Find services associated with a dataset using CMR

    +

    Some but not all datasets have API services that can reproject, resample or reformat files on the server file. These How-To’s below show how to find which services are available:

    + -
    -

    Services using earthaccess

    -

    Find services associated with a dataset using earthaccess

    +
    +

    Finding Services using CMR

    +

    Follow this link to see how to programmatically discover what services are associated with what NASA Earthdata.

    +
    +

    NASA API Examples

    Harmony

    -

    short description, when to use it

    +

    Harmony allows you to seamlessly analyze Earth observation data from different NASA data centers with services that offer data reduction and common access mechanisms across all NASA data centers. There is a python client library called harmony-py that exists as a wrapper for the Harmony services, and this notebook gives a brief introduction to the Harmony API services.

    OPeNDAP

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    short description, when to use it

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    OPeNDAP, or the Open-source Project for a Network Data Access Protocol, is a data server that allows for accessing scientific datasets through the public internet. OPeNDAP links can be acquired through dataset landing pages or the common metadata repository. For more information, see the OPeNDAP Data Access Client Tutorials.

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    earthaccess

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    earthaccess is a python library to search, download or stream NASA Earth science data with just a few lines of code that also abstracts a lot of other APIs developed by NASA.

    AppEEARS

    The Application for Extracting and Exploring Analysis Ready Samples (AρρEEARS) offers users a simple and efficient way to perform data access and transformation processes. By enabling users to subset data spatially, temporally, and by layer, the volume of data downloaded for analysis is greatly reduced. AppEEARS requests can be submitted in website and via API. In a same way, outputs generated can also be accessed from AppEEARS website and through API. View AppEEARS documentation and API documentation for more information. Additionally, you can work with the data in the cloud using provided S3 links. Visit AppEEARS Data Resources Repository for more tutorials on how to work with AppEEARS programaticaly.

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    @@ -1169,8 +1151,8 @@

    AppEEARS