Visualizing EMIT data interactively with HyperCoast¶

This notebook demonstrates how to visualize Earth Surface Mineral Dust Source Investigation (EMIT) data interactively with HyperCoast. This notebook is inspired by the EMIT data visualization tutorial - Exploring_EMIT_L2A_Reflectance.ipynb. We have made it much easier to visualize the data interactively with HyperCoast.

In [1]:

# %pip install hypercoast

# %pip install hypercoast

In [2]:

import hypercoast

import hypercoast

Download a sample EMIT data file from here.

In [3]:

url = "https://github.com/opengeos/datasets/releases/download/netcdf/EMIT_L2A_RFL_001_20240404T161230_2409511_009.nc"

url = "https://github.com/opengeos/datasets/releases/download/netcdf/EMIT_L2A_RFL_001_20240404T161230_2409511_009.nc"

In [4]:

filepath = "data/EMIT_L2A_RFL_001_20240404T161230_2409511_009.nc"
hypercoast.download_file(url, filepath)

filepath = "data/EMIT_L2A_RFL_001_20240404T161230_2409511_009.nc" hypercoast.download_file(url, filepath)

Out[4]:

'/home/runner/work/HyperCoast/HyperCoast/docs/examples/data/EMIT_L2A_RFL_001_20240404T161230_2409511_009.nc'

Load the dataset as a xarray.Dataset object.

In [5]:

dataset = hypercoast.read_emit(filepath)

dataset = hypercoast.read_emit(filepath)

Visualize the data interactively with HyperCoast. By default, the plot will show all the bands in the dataset.

In [6]:

m = hypercoast.Map()
m.add_basemap("SATELLITE")
m.add_emit(dataset, wavelengths=[1000, 600, 500], vmin=0, vmax=0.3, layer_name="EMIT")
m.add("spectral")
m

m = hypercoast.Map() m.add_basemap("SATELLITE") m.add_emit(dataset, wavelengths=[1000, 600, 500], vmin=0, vmax=0.3, layer_name="EMIT") m.add("spectral") m

Out[6]:

To visualize a certain wavelength range, you can specify the xlim parameter as follows:

In [7]:

m = hypercoast.Map()
m.add_basemap("SATELLITE")
m.add_emit(dataset, wavelengths=[1000, 600, 500], vmin=0, vmax=0.3, layer_name="EMIT")
m.add("spectral", xlim=(400, 1200))
m

m = hypercoast.Map() m.add_basemap("SATELLITE") m.add_emit(dataset, wavelengths=[1000, 600, 500], vmin=0, vmax=0.3, layer_name="EMIT") m.add("spectral", xlim=(400, 1200)) m

Out[7]:

To access the selected spectral profiles from the mouse clicked location, use the Map.spectral_to_df() method to convert the spectral profiles to a pandas DataFrame.

In [8]:

m.spectral_to_df()

m.spectral_to_df()

Out[8]: