Questions tagged [descartes-labs-platform]
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13
questions
2
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1
answer
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Pulling imagery from Sentinel2 esa:sentinel-2:l2a:v1 product in Descartes Labs
I am using the Descartes Labs platform. I am building a machine learning pipeline and want to run it on 10-band, 64x64, Sentinel L2A data collected over India. I used GEE Sentinel2 L2A imagery to ...
0
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1
answer
34
views
BoundGlobalError when submitting a Task (Descartes Labs)
I have written a deployment function to run using Descartes Labs' Task module. My Task group definition is:
# define a new task group
tasks = dl.Tasks()
async_func = tasks.create_function(
f=...
0
votes
1
answer
35
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Saving objects to Storage -- what is a "file-like object"? (Descartes Labs)
I am trying to save a numpy array, the output of a Descartes Labs Platform Workflows pipeline, to Storage. The docs for storage.set and storage.set_file state that the second argument should be a file ...
1
vote
1
answer
84
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Dividing up large region into tiles and visualizing them (Descartes Labs)
I would like to run a deep learning model over an AOI that is about 300,000 square kilometers. I used the dl.scenes.DLTile.from_shape function to automatically divide the region into tiles.
Is there ...
0
votes
1
answer
79
views
Bad Request with valid geojson feature for 10 meter DEM
I'm using a valid geojson to do a simple search for a DEM and then trying to access the numpy array from the search (following the descartes labs tutorial raster_data_access). The search apparently ...
0
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0
answers
52
views
Ideal way to pull ECMWF data
I am trying to pull large time series of ECMWF data over single pixels. I'm finding this to be a very slow operation and my guess is that it has to do with the mismatch between how the data is stored ...
1
vote
2
answers
272
views
Combining imagery, masking and sampling in Descartes Labs Platform
I am trying to sample data from Descartes Lab imagery to train a random forest classifier in the Descartes Plaform for an agricultural region. I have already written a script to prepare the imagery of ...
0
votes
1
answer
77
views
Descartes Labs Platform speeding up scenes.mosaic
We're hoping to download many Sentinel-2 mosaics in order to deploy a deep learning model on a large region. We currently use the following steps to construct and download images:
dltile = dl.scenes....
1
vote
1
answer
142
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Remapping classified image using Descartes Labs
I am hoping to remap the values of a multi-value classified image to create a binary classification. In Google Earth Engine, there is a function remap() that takes the original values of pixels and ...
0
votes
1
answer
150
views
Descartes Labs Platform scenes.search within less cloudy periods
Sometimes searching for scenes over a large date range is necessary to obtain cloud-free images, but can be prohibitively slow for satellites with high revisit rates (e.g. Sentinel-2).
Is there a ...
0
votes
1
answer
120
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Large-scale cloud masking, grouping and mosaic in Descartes Labs platform
I am looking to create a stack of cloud-free sentinel-2 imagery by day for a large portion of California for all of 2020 in the Descartes Lab platform. I realize that this is a very large amount of ...
0
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1
answer
200
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Cloud masking with the Descartes Labs Platform Scenes API
I have created a scene collection in the Descartes Labs Platform using the Scenes search function (dl.scenes.search) for my area of interest and sensor of choice (Sentinel-2). I would like to iterate ...
0
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1
answer
230
views
Saving as/export results of GeoVisual Search (Descartes Labs)
I am working with satellite imagery processing.
I'm using this service to search for some objects in the US:
https://search.descarteslabs.com
Can I export about 1k results, for example, to KML or ...