Dear William,

I hope this message finds you well.

I executed the code on my study area, which generates classification outputs for six months with one image per month. However, when I reduce the time step and the number of images used for classification exceeds ten, a memory error occurs. Could you please provide insight into the potential cause of this issue? Is it possibly due to the extensive computational requirements of the algorithm?
I also reduced the dimensions of the study area to 6 x 6 km

Thank you for your assistance.

Best regards,

Hey,

I'm trying to implement this library for dtw and am encountering memory issues within GEE.
Are there any hard limits in terms of the amount of images in the time-series, or number of sample points, number of labels, or overall region size that you are aware of?

Just as a test I'm trying to export dtw_class and the task does run for a long while

Everything before this step is fine, however the output from this function can't be printed or exported.
`var dtw_min_dist = function(key, val){
key = ee.Number.parse(key);
// Function to format the signatures to a DTW-ready EE array
var training_data_list = DTW.prepareSignatures(reference_signatures,
CLASS_NAME,
key,
BAND_NO,
PATTERNS_LEN,
band_names);

// Compute the class-wise DTW distance
return ee.ImageCollection(DTW.DTWDist(training_data_list,
s2_input_asset.select("d_0_NDVI"),
{patterns_no: val,
band_no: BAND_NO,
timeseries_len: TIMESERIES_LEN,
patterns_len: PATTERNS_LEN,
constraint_type: 'time-weighted',
distance_type: 'angular',
beta: BETA,
alpha: ALPHA
})
).min()
.rename('dtw')
// Add class band corresponding to the land cover/crop class computed.
// This is useful/necessary to generate the hard classification map from the dissimilarity values
.addBands(ee.Image(key).toByte().rename('band'));
};`

For the variables:
// Input data parameters var CLASS_NAME = 'labelno'; var AGG_INTERVAL = 5; var TIMESERIES_LEN = 37; var PATTERNS_LEN = 37; var CLASS_NO = 6; var S2_BAND_LIST = ["d_0_NDVI"]; var BAND_NO = S2_BAND_LIST.length; var DOY_BAND = 'doy';
Where the number of number of signatures is 331
AOI size is ~3700 km2

Dear William Ouellette,

I am trying to adapt the code for my dataset and I am getting the following error:

DTW classification: Layer error: Array.reshape: Shape incompatible with array's existing dimensions: [-1, 8, 6] vs. [268, 40].

DTW dissimilarity score: Layer error: Array.reshape: Shape incompatible with array's existing dimensions: [-1, 8, 6] vs. [268, 40].

I am a beginner in google earth engine, could you help me find where I am going wrong?