Page Summary
-
The
ee.data.computeFeaturesfunction computes a list of features by applying a computation to features. -
It returns a list of GeoJSON features reprojected to EPSG:4326 with planar edges.
-
The function takes an object of parameters which can include
expression,pageSize,fileFormat,pageToken, andworkloadTag. -
Supported output formats for tabular data include
PANDAS_DATAFRAMEandGEOPANDAS_GEODATAFRAME.
Returns: A list of GeoJSON features reprojected to EPSG:4326 with planar edges.
| Usage | Returns |
|---|---|
ee.data.computeFeatures(params)
|
List |
| Argument | Type | Details |
|---|---|---|
params
|
Object | An object containing parameters with the following possible values:expression
- The expression to compute.pageSize
- The maximum number of results per page. The server may return
fewer images than requested. If unspecified, the page size
default is 1000 results per page.fileFormat
- If present, specifies an output format for the
tabular data. The function makes a network request for each page until
the entire table has been fetched. The number of fetches depends on the
number of rows in the table and pageSize
. pageToken
is ignored. Supported formats are: PANDAS_DATAFRAME
for a Pandas DataFrame and GEOPANDAS_GEODATAFRAME
for a GeoPandas GeoDataFrame.pageToken
- A token identifying a page of results the server should
return.workloadTag
- User supplied tag to track this computation. |
Examples
import ee import geemap.core as geemap
Colab (Python)
# Region of interest. pt = ee . Geometry . Point ([ - 122.0679107870136 , 36.983302098145906 ]) # Imagery of interest. images = ( ee . ImageCollection ( 'LANDSAT/LC08/C02/T1_L2' ) . filterBounds ( pt ) . filterDate ( '2021-01-01' , '2021-12-31' )) def point_overlay ( image ): """Extracts image band values for pixel-point intersection.""" return ee . Feature ( pt , image . reduceRegion ( 'first' , pt , 30 )) # Convert an ImageCollection to a FeatureCollection. features = images . map ( point_overlay ) features_dict = ee . data . computeFeatures ({ 'expression' : features }) display ( features_dict ) # Do something with the features...
