Science Examples

Science Examples:

• Harmonized Landsat Sentinel (HLS) Search and Composite
  • Creating an AOI
  • Accessing the HLS Data
  • Reading in HLS data and creating composite
  • Display Results
• Global Ecosystem Dynamics Investigation (GEDI) Level 2A Product Tutorial
  • Searching for and accessing GEDI02_A data
  • Explore
  • Visualize
• Introduction to the GEDI02_B Product
  • Opening GEDI02_B files and exploring its datasets
  • Access and open the GEDI02_B HDF5 file
  • List all the science data sets
  • Plot a subset of the points
• Search GEDI L2B and plot canopy heights
• GEDI L3 Tutorial
  • GEDI Instrument
  • About GEDI L3 Data
  • [Optional] Install Python Packages
  • Dataset
  • Download file from ORNL DAAC S3
  • [Optional] Visualization using Rasterio
  • [Optional] Overlay raster layer on top of folium map
• GEDI L4A Subsetting Example
  • [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
• Visualizing GEDI L4B Data
  • Search all collections to find the GEDI collection
  • Utilize ‘getData’ function to download one granule’s data file
  • Plot the .tif file using ‘matplotlib’
• ICESat-02 Advanced Topographic Laser Altimeter System-03 (ATL03) data access and exploration instructions.
  • Import relevant python modules
  • Decide on a subset of ATL03 data to load using spatial extent and date range and visualize extent using folium
  • Search for available granules in the NASA CMR for the given spatial extent and date range and print the number of granules available.
  • Read the H5 file to understand the data structure.
  • Subset the data by required columns. In this case we need Latitude, Longitude, Photon Height and Along Track Distance.
  • Show the subset data in a dataframe.
  • Visualize photon heights with respect to along track distance for this H5 file (using inputs from geodataframe)
• Tutorial for simulated NISAR data access, reading, and visualizing amplitude and phase.
  • NISAR data can be downloaded from https://uavsar.jpl.nasa.gov/cgi-bin/data.pl
  • Explore the structure of NISAR *.H5 file using H5glance
  • Use gdal to convert HH polarization for frequencyA to ENVI SLC format and visualize it.
  • Plotting Amplitude and Phase
• AfriSAR: Aboveground Biomass for Lope, Mabounie, Mondah, and Rabi Sites, Gabon
  • Description
  • Declare your collection of interest
  • Listing all the available collections
  • Getting the collection of intrest ‘AfriSAR_AGB_Maps_1681’
  • Use satsearch to discover items in the ‘AfriSAR_AGB_Maps_1681’ collection
  • Adding items to an iterable
  • Extracting s3 link and reading it with rioxarray
  • Visualizing the read data with hvplot