Hello!
I am supposed to use SentinelHubInputTask to retrieve the Sentinel 1 data. However, I could not find any example which can help me to set the parameters. I wonder if there anyone which I can use for?
Thank you in advance for your help
Hello!
I am supposed to use SentinelHubInputTask to retrieve the Sentinel 1 data. However, I could not find any example which can help me to set the parameters. I wonder if there anyone which I can use for?
Thank you in advance for your help
Hi,
SentinelHubInputTask
doesn’t support Sentinel-1 yet. But there are alternatives:
S1IWWMSInput
or S1IWWCSInput
tasks instead, which will collect data from Sentinel Hub OGC service.sentinelhub.SentinelHubRequest
class, which interacts with Processing API service, to query Sentinel-1 data like described here and then create a new EOTask
that would write results of SentinelHubRequest
into an EOPatch
.Hello,
Bumping on that topic, is there something new regarding S1/ SentinelHubInputTask ?
Thanks in advance,
Hi,
In the latest eo-learn
version 0.8.0
this has been significantly improved and now SentinelHubInputTask
supports all data sources/collections, including Sentinel-1.
The main parameter of SentinelHubInputTask
for specifying type of data is data_collection
. E.g. for Sentinel-1 IW data you can specify data_collection=DataCollection.SENTINEL1_IW
.
Thanks for your reply
Other than data_collection
is there a way to pass processing options
as presented in https://docs.sentinel-hub.com/api/latest/data/sentinel-1-grd/#acquisitionmode in order to access orthorectified data and backscatter coefficient ?
From what i understand in the eo-learn
documentation it seems doable by passing a dict with the argument aux_request_args
. Do you have any example of use ?
Thanks in advance,
Yes, parameter aux_request_args
is the correct parameter. It takes a dictionary of additional arguments structured in the same way as in Processing API documentation under input
-> data
section of the request schema. Example:
aux_request_args={
'dataFilter': {
'acquisitionMode': 'SM'
},
'processing': {
'backCoeff': 'BETA0',
'orthorectify': True
}
}
Working good ! Thank you
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