Science Examples

Here you will find a variety of real-world examples that may help you create a custom Jupyter notebook for your research. These notebooks have dataset specific analysis and visualization examples, and will also provide examples of analysis, data access, tabulation and map-visualization.

You can also find links to Open Source Science guidelines for the MAAP platform.

Science Examples:

• Querying HLS using the HLS STAC Geoparquet Archive
  • Running this tutorial
  • Background
  • Query example
  • Direct S3 access to COGs
• HLSL30 Search and Composite
  • Run This Notebook
  • About the Data
  • Additional Resources
  • Importing and Installing Packages
  • Creating an AOI
  • Accessing the HLS Data
  • Reading in HLS Data and Creating Composite
  • Display Results
• GEDI_L2A Search and Visualize
  • Run This Notebook
  • About the Data
  • Additional Resources
  • Importing and Installing Packages
  • Search for GEDI_L2A Data
  • Explore
  • Visualize
• GEDI_L2B Search and Visualize
  • Run This Notebook
  • About the Data
  • Additional Resources
  • Importing and Installing Packages
  • Search Data Using an AOI
  • Search using the EarthData Search Integration
  • Inspect and Filter through the Data
  • Create the Subset and Display the Data
• GEDI_L3 Search and Download
  • Run This Notebook
  • About the Data
  • Additional Resources
  • Importing and Installing Packages
  • Download file from ORNL DAAC S3
  • [Optional] Visualization using Rasterio
  • [Optional] Overlay Raster Layer on top of Folium Map
• GEDI_L4A Subset and Visualize
  • Run This Notebook
  • About the Data
  • Additional Resources
  • [Optional] Install Python Packages
  • Obtain Username
  • Define the Area of Interest
  • [Optional] Visually Verify your AOI
  • Submit a Job
  • Get the Job’s Output File
  • [Optional] Visually Verify the Results
  • Generate Contour Lines
  • Plot the Contour Lines in Folium
• GEDI_L4B Search and Visualize
  • Run This Notebook
  • About the Data
  • Additional Resources
  • Importing Packages
  • Search for the Collection and Associated Granules
  • Accessing and Downloading the Granule from ORNL DAAC S3
  • Plot the Data
• ICESat-02 ATL03 Subset and Visualize
  • Run This Notebook
  • About the Data
  • Additional Resources
  • Importing and Installing Packages
  • Decide on a Subset of ATL03 Data
  • Search for Granules
  • Read the H5 File
  • Subset the Data by Required Columns
  • Show the Subset Data in a Dataframe
  • Visualize Photon Heights
• ATLAS/ICESat-02 ATL08 Access and Visualize
  • Run This Notebook
  • About the Data
  • Additional Resources
  • Importing and Installing Packages
  • Accessing the Data
  • Exploring the Data
  • Visualizing the Data
• NISAR Access and Exploration
  • Run This Notebook
  • About the Data
  • Additional Resources
  • Import and Install Packages
  • Access the Data
  • Open the Cloud-Optimized HDF5
  • Explore the Data
  • Visualize the Data
• NISAR DEM (v1.2): Access and Visualize
  • Run This Notebook
  • About the Data
  • Additional Resources
  • Imports
  • Parameters
  • VRT paths
  • Set up Access
  • AWS session setup
  • Subsetting helper
  • Run subset in memory
  • Preview
• ESA BIOMASS Data Access and Visualization (Token-secured)
  • What you will do
  • Run this notebook
  • Importing and Installing Packages
  • Getting the ESA MAAP Long Lasting Token
  • Converting ESA MAAP Offline Token to get Short-lived Data Access Token
  • Testing Data Access
  • Load the raster into memory and visualize
  • Using Rasterio for Data Access
  • Downloading File Locally
• ESA BIOMASS Simulated Data Access and Visualization (Token-secured)
  • What you will do
  • Run this notebook
  • Run this notebook
  • Importing and Installing Packages
  • Getting the ESA MAAP Long Lasting Token
  • Converting ESA MAAP Offline Token to get Short-lived Data Access Token
  • Testing Data Access
  • Load the raster into memory and visualize
  • Using Rasterio for Data Access
  • Downloading File Locally
• OPERA Surface Displacement from Sentinel-1: Access and Visualize
  • Run This Notebook
  • About the Data
  • Importing Packages
  • Searching the Data
  • Visualizing with Bounding Boxes
  • Search Granules using filters
  • Locally download and Inspect
  • Visualization
  • Cloud Optimized Remote Access
  • Cloud-Optimized Performance
  • Using OPERA DISP in a DPS job
• AfriSAR Search and Visualize
  • Run This Notebook
  • About the Data
  • Additional Resources
  • Import and Install Packages
  • Search for AfriSAR AGB Data
  • Download the Granule File
  • Read and Visualize
• LVIS Access and Explore
  • Run This Notebook
  • Importing Packages
  • Creating a Data Directory for this Tutorial
  • About the Dataset
  • Searching the Collection
  • Searching and Downloading a Granule
  • Validating the Downloaded Product
  • About the Dataset
  • Searching the Collection
  • Searching and Downloading a Granule
  • Validating the Downloaded Product
  • About the Dataset
  • Searching the Collection
  • Searching and Downloading a Granule
  • Validating the Downloaded Product
  • About the Dataset
  • Searching the Collection
  • Searching and Downloading a Granule
  • Validating the Dataset
  • About the Dataset
  • Searching the Collection
  • Searching and Downloading a Granule
  • Validating the Product
  • References
• ESA CCI v4 Access and Visualize
  • Run This Notebook
  • About The Dataset
  • Additional Resources
  • Importing and Installing Packages
  • Accessing and Filtering the Items
  • Creating an AOI
  • Accessing the Subset for further Processing
• ESA CCI Biomass V5.01 — Access and Visualization (Token-secured)
  • What you will do
  • Run This Notebook
  • Importing and Installing Packages
  • Getting the ESA MAAP Long Lasting Token
  • Converting ESA MAAP Offline Token to get Short-lived Data Access Token
  • Discover tiles via ESA STAC
  • Creating a Mosaic
  • Saving Tile as COG
• Open Source Science
  • Open-Source Science and MAAP
  • Open Sourcing Code
  • Submitting to the MAAP Zenodo Community
• EarthCARE: Access and Visualize
  • About the Data
  • Run this notebook
  • Importing Packages
  • Connect to ESA MAAP STAC
  • Select collection & run filtered STAC search
  • Inspect matched item
  • Build asset table
  • Choose an item and plot
  • Secure HDF5 access via fsspec
  • Getting the Token from the ESA MAAP portal
  • Select the HDF5 asset URL
  • Tune streaming caches
  • Stream HDF5 with token and plot variables