Create a new cell in Jupyter notebook based on the contents. Args: contents: A string of Python code.

Create frames for the Sentinel-2 time series chart with current time indicator. Args: sample_data: Dictionary containing sample data for

Create a Sentinel-2 timelapse with indices.

Create frames for the time series chart with current time indicator.

Creates points for a CSV file and exports data as a GeoJSON. Args: in_csv (str): The file path to the input CSV file. latitude (s

Creates points for a CSV file and converts them to a GeoDataFrame. Args: in_csv (str): The file path to the input CSV file. latit

Converts a csv file with latlon info to a point shapefile. Args: in_csv (str): The input csv file containing longitude and latitude colum

Display the UI in the cell.

Display an HTML file in a Jupyter Notebook. Args src (str): File path to HTML file. width (int, optional): Width of the map. Defa

Download a file from URL, including Google Drive shared URL. Args: url: Google Drive URL is also supported. output: Output filena

Draw a circle marker.

Draw a cross marker.

Draw a square marker.

Exports an ee.Image as a GeoTIFF. Args: ee_object: The ee.Image to download. filename: Output filename for the exported image.

Creates a task to export an EE Image to an EE Asset. Args: image: The image to be exported. description: Human-readable name of t

Creates a task to export an EE Image to Google Cloud Storage. Args: image: The image to be exported. description: Human-readable

Creates a batch task to export an Image as a raster to Google Drive. Args: image: The image to be exported. description: Human-re

Construct the tree structure based on an Earth Engine function. For example, the function "ee.Algorithms.FMask.matchClouds" will return a list

Get the bounding box of an Earth Engine object as a list in the format [xmin, ymin, xmax, ymax]. Args: ee_object (ee.Image | ee.Geometry

Converts an ee.FeatureCollection to GeoPandas GeoDataFrame. Args: ee_object (ee.FeatureCollection): ee.FeatureCollection. columns

Executes a Jupyter notebook and save output cells. Args: in_file: Input Jupyter notebook.

Returns an ee.Classifier from a feature collection. The feature collection must be from from `export_trees_to_fc`. Args: fc (ee.Fea

Generates a Chart from a set of features. Plots the value of one or more properties for each feature. Reference: https://developers.

Generates a Chart from a set of features. Plots property values of one or more features. Reference: https://developers.google.com/ea

Creates a simple file browser and text editor. Args: in_dir: The input directory. Defaults to None, which will use the current

Retrieve relevant datasets from the Earth Engine data catalog. Args: query: The kind of data being searched for, e.g., 'populatio

Asks a model to do ee python code correction in the event of error. Args: code: The Earth Engine Python code to fix. ee: The Eart

Formats keys in a dictionary and adds quotes to the keys. For example, {min: 0, max: 10} will result in ('min': 0, 'max': 10) Args:

Context manager for GDAL error handler.

Returns the bounding box of a GeoDataFrame. Args: gdf (gpd.GeoDataFrame): A GeoDataFrame. return_geom (bool, optional): Whether t

Returns the centroid of a GeoDataFrame. Args: gdf (gpd.GeoDataFrame): A GeoDataFrame. return_geom (bool, optional): Whether to re

Converts a GeoDataFrame to a pandas DataFrame. Args: gdf (gpd.GeoDataFrame): A GeoDataFrame. drop_geom (bool, optional): Whether

Converts a GeoJSON object to a pandas DataFrame. Args: in_geojson (str | dict): The input GeoJSON file or dict. encoding (str, op

Converts a GeoTIFF file to a JPEG/PNG image. Args: image: The path to the input GeoTIFF file. output: The path to save the output

Returns the collection with the given id. Args: id: The ID of the collection. Raises: ValueError: If no coll

Returns the new column names for the DataFrame. Args: series_property: The property to use for labeling the series. y

Returns the list of community dataset IDs. From https://github.com/samapriya/awesome-gee-community-datasets/blob/master/community_datasets.json

Get the current latitude and longitude based on the user's location.

Returns the x and y data for the chart. Args: x_property: The property to use for the x-axis. y_properties: The prope

Returns the x and y data for the chart. Args: x_properties: The properties to use for the x-axis. Raises: Ex

Returns the x and y data for the chart. Args: x_property: The property to use for the x-axis. new_column_names: The n

Returns the path to the CSV file summarizing the Earth Engine Data Catalog.

Returns the Earth Engine Data Catalog as a nested dictionary.

Returns a list of Earth Engine dataset IDs.

Get default visualization parameters for different indices.

Get default chart labels for Landsat bands.

Get default visualization parameters for different Landsat indices.

Returns the STAC list of the Earth Engine Data Catalog. Raises: Exception: If the JSON file fails to download.

Returns the list of the public datasets from GEE users.

Generates a dictionary of Google Map tile providers for different map types. Args: language: An IETF language tag that specifies the lang

Download a thumbnail for an ee.Image. Args: ee_object (object): The ee.Image instance. out_img (str): The output file path to the

Get chart labels for different indices.

Get chart labels for different Landsat indices.

Returns a new cartopy plot with project and adds Earth Engine image results. Args: ee_object (ee.Image | ee.FeatureCollection): Earth Eng

Returns a dictionary of colormaps and their associated palettes.

Convert geographic coordinates to pixel coordinates. Args: lon (float): Longitude lat (float): Latitude roi_bounds (list)

Returns the approximate pixel scale of the current map view in meters. Returns: Map resolution in meters.

Get the style of the map. Returns: Dict: The style of the map.

Returns a dictionary of tools.

Converts a gif to png. Args: in_gif: The input gif file. out_dir: The output directory. prefix: The prefix of the output

Create a time series of GOES Fire data. The code is adapted from Justin Braaten's code: * https://code.earthengine.google.com/8a083a7fb13b95

Checks whether an image has transparency. Args: img: A PIL Image object. Returns: True if it has transparency, False otherwi

Gets the hyphenated ID of the collection. Returns: The hyphenated ID of the collection.

Convert dataset IDs and match scores to a DataFrame. Args: query: The kind of data being searched for, e.g., 'population'.

Calculates the area of an image. Args: img (object): ee.Image region (object, optional): The region over which to reduce data. De

Retrieves the mean value of an image. Args: img (object): The image to calculate the mean value. region (object, optional): The r

Retrieves the standard deviation of an image. Args: img (object): The image to calculate the standard deviation. region (object,

Retrieves the sum of an image. Args: img (object): The image to calculate the standard deviation. region (object, optional): The

Converts an image to a COG file. Args: source (str): A dataset path, URL or rasterio.io.DatasetReader object. dst_path (str, opti

Tests if the code is being executed within Google Colab.

Generates a tool GUI template using ipywidgets. Args: m: The leaflet Map object. Returns: ipywidgets: The tool GUI widget.

Checks if the collection is deprecated or has a successor. Returns: bool: True if the collection is deprecated or has a successor

Returns True if the notebook is running on AWS.

Returns True if the notebook is running on Studio Lab.

Filters out questions that cannot be answered by a dataset search tool. Args: question: The user's question. model_name: The name