AI-generated Key Takeaways
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For each band, an output band of the same name is created with the value at the given position extracted from the input multidimensional pixel in that band.
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The
Image.arrayGet(position)
function returns an Image where the value at the given position is extracted from the input multidimensional pixel. -
The
position
argument is an Image specifying the coordinates of the element to get and must have as many scalar bands as the input image has dimensions.
Usage | Returns |
---|---|
Image.arrayGet(position) | Image |
Argument | Type | Details |
---|---|---|
this: image | Image | Array to get an element from. |
position | Image | The coordinates of the element to get. There must be as many scalar bands as there are dimensions in the input image. |
Examples
Code Editor (JavaScript)
// A function to print the array for a selected pixel in the following examples. function sampArrImg(arrImg) { var point = ee.Geometry.Point([-121, 42]); return arrImg.sample(point, 500).first().get('array'); } // Create a 1D array image. var arrayImg1D = ee.Image([0, 1, 2, 3, 4, 5]).toArray(); print('1D array image (pixel)', sampArrImg(arrayImg1D)); // [0, 1, 2, 3, 4, 5] // Get the array value at a given position. Here we target the 4th element. var position1D = ee.Image([3]); var selectedElement1D = arrayImg1D.arrayGet(position1D); print('Element at position [3] (4th element)', sampArrImg(selectedElement1D)); // [3] // Create a 2D 2x3 array image (reshape the 1D array image). var arrayImg2D = arrayImg1D.arrayReshape(ee.Image([2, 3]).toArray(), 2); print('2D 2x3 array image (pixel)', sampArrImg(arrayImg2D)); // [[0, 1, 2], // [3, 4, 5]] // Get the array element value at axis-0, position 0 and axis-1, position 2. var position2D = ee.Image([0, 2]); var selectedElement2D = arrayImg2D.arrayGet(position2D); print('Element at position [0, 2]', sampArrImg(selectedElement2D)); // 2
import ee import geemap.core as geemap
Colab (Python)
# A function to print the array for a selected pixel in the following examples. def samp_arr_img(arr_img): point = ee.Geometry.Point([-121, 42]) return arr_img.sample(point, 500).first().get('array') # Create a 1D array image. array_img_1d = ee.Image([0, 1, 2, 3, 4, 5]).toArray() print('1D array image (pixel):', samp_arr_img(array_img_1d).getInfo()) # [0, 1, 2, 3, 4, 5] # Get the array value at a given position. Here we target the 4th element. position_1d = ee.Image([3]) selected_element_1d = array_img_1d.arrayGet(position_1d) print( 'Element at position [3] (4th element):', samp_arr_img(selected_element_1d).getInfo() ) # [3] # Create a 2D 2x3 array image (reshape the 1D array image). array_img_2d = array_img_1d.arrayReshape(ee.Image([2, 3]).toArray(), 2) print('2D 2x3 array image (pixel):', samp_arr_img(array_img_2d).getInfo()) # [[0, 1, 2], # [3, 4, 5]] # Get the array element value at axis-0, position 0 and axis-1, position 2. position_2d = ee.Image([0, 2]) selected_element_2d = array_img_2d.arrayGet(position_2d) print( 'Element at position [0, 2]:', samp_arr_img(selected_element_2d).getInfo() ) # 2