Create 10-m land cover composite based on Dynamic World. The source code is adapted from the following tutorial by Spatial Thoughts: https://devel

Create Sentinel-2 composite for the Dynamic World Land Cover product. Args: region (ee.Geometry | ee.FeatureCollection): The region of in

Create Dynamic World timeseries. Args: region (ee.Geometry | ee.FeatureCollection): The region of interest. start_date (str | ee.

Downloads a file from voila. Adopted from https://github.com/voila-dashboards/voila/issues/578#issuecomment-617668058 Args: html

Extracts Earth Engine API documentation. Fetches from https://developers.google.com/earth-engine/api_docs as a csv file. Args: outfi

Generates HTML from an asset to be used in the HTML widget. Args: asset: A dictionary containing an Earth Engine asset. Returns:

Retrieves the thumbnail URL of an Earth Engine asset. Args: asset_id An Earth Engine asset id. timeout: Timeout in seconds. Defau

Exports Earth Engine FeatureCollection to geojson. Args: ee_object: ee.FeatureCollection to export. filename: Output file name. D

Exports an ImageCollection as GeoTIFFs. Args: ee_object: The ee.ImageCollection to download. out_dir: The output directory for th

Creates a batch task to export an ImageCollection as assets. Args: ee_object: The image collection to export. descriptions: A lis

Creates a batch task to export an ImageCollection to a Google Cloud bucket. Args: ee_object: The image collection to export. desc

Creates a batch task to export an ImageCollection to Google Drive. Args: ee_object: The image collection to export. descriptions:

Creates a task to export an Image as a pyramid of map tiles. Exports a rectangular pyramid of map tiles for use with web map viewers. The map

Creates a task to export a FeatureCollection to Asset. Args: collection: The feature collection to be exported. description: Huma

Creates a task to export a FeatureCollection to Google Cloud Storage. Args: collection: The feature collection to be exported. de

Creates a task to export a FeatureCollection to Drive. Args: collection: The feature collection to be exported. description: Huma

Creates a task to export a FeatureCollection to a FeatureView. Args: collection: The feature collection to be exported. descripti

Creates a task to export an ImageCollection as a video to Cloud Storage. Args: collection: The image collection to be exported. The colle

Creates a task to export an ImageCollection as a video to Drive. Args: collection: The image collection to be exported. The collection mu

Authenticates Earth Engine and initialize an Earth Engine session. Args: token_name: The name of the Earth Engine token. Defa

Join a table to an ee.FeatureCollection attribute table. Args: ee_object (ee.FeatureCollection): The ee.FeatureCollection to be joined by

Returns the dictionary of EE layers.

Returns the names of the EE layers.

Rounds a number to a specified number of decimal places. Args: num: The number to round. decimal (int, optional): The number of d

Returns the names of the EE raster layers.

Returns the dictionary of EE raster layers.

Search Earth Engine API and user assets. If you received a warning (IOPub message rate exceeded) in Jupyter notebook, you can relaunch Jupyte

Converts an Earth Engine color table to a dictionary Args: in_table: The input file path (*.txt) to the Earth Engine color table.

Converts and Earth Engine layer to ipyleaflet TileLayer. Args: ee_object (Collection|Feature|Image|MapId): The object to add to the map.

Converts and Earth Engine layer to ipyleaflet TileLayer. Args: ee_object (Collection|Feature|Image|MapId): The object to add to the map.

Downloads an ee.FeatureCollection as a CSV file. Args: ee_object (object): ee.FeatureCollection filename (str): The output filepa

Downloads an Earth Engine object as GeoTIFF. Args: ee_object (ee.Image | ee.FeatureCollection): The Earth Engine object to download.

Extracts a rectangular region of pixels from an image into a numpy array. Args: ee_object (ee.Image): The image to sample. region

Downloads an ee.FeatureCollection as a shapefile. Args: ee_object (object): ee.FeatureCollection filename (str): The output filep

Open an Earth Engine ImageCollection as an Xarray Dataset. This function is a wrapper for xee. Supports both legacy (v0.0.x) and new (v0.1.0+)

Returns the names of the EE vector layers.

Returns the dictionary of EE vector layers.

Create a vector style for a feature collection. Args: collection (ee.FeatureCollection): The input feature collection. column (st

Embeds a list of documents. Args: texts: The list of texts to embed. Returns: The list of embeddings.

Embeds a query text. Args: text: The query text to embed. Returns: The embedding of the query text.

Escape backticks so text can be used in a JS template.

Prompts LLM to explain the relevance of a dataset to a query. Args: query: The user's query. dataset_id: The ID of the dataset.

Starts an export task to create a feature collection of a decision tree. Creates a feature collection with a property tree which contains the str

Samples the pixels of an image, returning them as a ee.Dictionary. Args: ee_object (ee.Image | ee.ImageCollection): The ee.Image or ee.Im

Extracts pixel time series from an ee.ImageCollection at a point. Args: lat (float): Latitude of the point. lon (float): Lon

Extracts transect from an image. Credits to Gena for providing the JavaScript example https://code.earthengine.google.com/b09759b8ac60366ee2ae4eccdd19

Extracts image values to points. Args: in_fc (object): ee.FeatureCollection. image (object): The ee.Image to extract pixel values

Exports pixel values to a csv file based on user-drawn geometries. Args: filename: The output file path to the csv file or shapef

Generates a Chart from a set of features. Plots the value of one property for each feature. Reference: https://developers.google.com

Generates a Chart from a set of features. Computes and plots a histogram of the given property. - X-axis = Histogram buckets (of property val

Returns a list of features created from geometries and properties.

Filters HUC08 watersheds intersecting a given region. Args: region (object): ee.Geometry Returns: object: ee.FeatureCollecti

Filters HUC10 watersheds intersecting a given region. Args: region (object): ee.Geometry Returns: object: ee.FeatureCollecti

Retrieves NWI dataset for a given HUC8 watershed. Args: HUC08_Id (str): The HUC8 watershed id. region (object): ee.Geometry

Returns a sublist with the bbox matching the given bbox.

Returns a sublist with the bbox matching the given bbox.

Returns a sublist with the time interval matching the given time.

Returns a sublist with the time interval matching the given interval.

Converts GeometryCollection to Polygon/MultiPolygon Args: ftr (object): ee.Feature Returns: object: ee.Feature

Finds a HUC08 watershed based on a given HUC08 ID Args: HUC08_Id (str): The HUC08 ID. Returns: object: ee.FeatureCollection

Finds a HUC10 watershed based on a given HUC08 ID Args: HUC10_Id (str): The HUC10 ID. Returns: object: ee.FeatureCollection

Create annual NAIP mosaic for a given region. Args: region (object): ee.Geometry add_NDVI (bool, optional): Whether to add the ND

Finds NWI dataset for a given HUC08 watershed. Args: HUC08_Id (str): The HUC08 watershed ID. exclude_riverine (bool, optional): W

Return a list of matching files in a directory. Args: input_dir: The input directory. ext: The file extension to match. Defaults

Find the first symbol layer in the map's current style. Returns: The first symbol layer as a dictionary if found, otherwise None.

Returns an image collection of Landsat images by WRS path number and row number. Args: landsat_col: The image collection id of Landsat.

Searches for a style layer in the map's current style by ID and returns it. Args: id: The ID of the style layer to find.

Retrieve relevant datasets and their match scores as a DataFrame. Args: query: The kind of data being searched for, e.g., 'popula

Create a fishnet (i.e., rectangular grid) based on an input vector dataset. Args: data (str | ee.Geometry | ee.Feature | ee.FeatureCollec

Fix FigureWidget - 'mapbox._derived' Value Error. Adopted from: https://github.com/plotly/plotly.py/issues/2570#issuecomment-738735816

Makes the map fly to a specified location. Args: lon: The longitude of the location to fly to. lat: The latitude of t

Returns the geometry type of a GeoDataFrame. Args: gdf (gpd.GeoDataFrame): A GeoDataFrame. first_only (bool, optional): Whether t

Search location by address and lat/lon coordinates. Args: location: Place name or address. max_rows: Maximum number of records to

Converts a GeoJSON to an Earth Engine Geometry or FeatureCollection. Args: geo_json: A GeoJSON geometry dictionary or file path.

Get geometry type of an Earth Engine object. Args: ee_object: An Earth Engine object. Returns: One of Point, MultiPoint, Lin

Creates annual NAIP imagery mosaic. Args: start_year (int, optional): The starting year. Defaults to 2009. end_year (int, optiona

Filters NAIP ImageCollection by year. Args: year (int): The year to filter the NAIP ImageCollection. RGBN (bool, optional): Wheth

Returns the bounds of the current map view. Returns: A tuple in the format (west, south, east, north) in degrees.

Returns the bounds of the current map view. Args: asGeoJSON: If true, returns map bounds as GeoJSON. Defaults to False.

Returns the lat, lon of the centroid of a GeoJSON. Args: geometry: A GeoJSON dict. north_up: Defaults to True. transform

Returns the current center of the map (lat, lon).

Returns the current chart type, or None if no chart type is set.

Creates a colorbar based on custom colors. Args: colors: A list of hex colors. vmin: The minimum value range. vmax: The m