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Hi. I’ve been successful in utilizing the python sentinelhub library for Wcs and Wms requests. Now I’d like to utilize WMTS, which I think is better for my needs. Is it supported in the python library? If so, is there an example code for reference?
Hi everyone I have a question about the statistical meaning of the values corresponding to each bin in the JSON object. For e.g., in this request-response below do the values (highlighted in bold) correspond to the mean/median/edges of the bins? I know that when using python API you have the choice between three methods of histogramming. But, what is the method of classification used to build the bins when using HTTP FIS request ? I am using this request to call the following JSON object: https://services.sentinel-hub.com/ogc/fis/{instanceID}?MAXCC=20&RESX=10m&RESY=10m&VERSION=1.3.0&CRS=EPSG:4326&BINS=5&TIME=2019-02-19/2019-02-23&LAYER=CHL-REDEDGE&GEOMETRY=POLYGON(({lat,lng})) The JSON object: {“date”:“2019-02-21”,“basicStats”:{“min”:0.3884204626083374,“max”:0.8388482928276062,“mean”:0.7900610220334081,“stDev”:0.04977570334911637}, “histogram”:{“bins”:[ {“value”:0.42235938608646395,“count”:10.0},{“value”:0.48521589961918915,“count”:11.0},{“value”:0.59281
I’ve tried to place any order, but it always fails with the message “The products listed in the errors field were not found”. What can I do?
Hello everyone, I would like to contact someone for the elaboration of a temporary script based on the ndvi. It is necessary that the script locate the date with the highest ndvi between the months of January and February for each pixel, and compare it with the date of the highest ndvi of the previous year in the same months, to obtain an anomaly of ndvi for each pixel. This is similar to the multitemporal script produced by the ibisa company, but my intention is to make another more advanced script. thank you
Hello, I´m using the get_transform_vector in order to get the transform of my bbox. The result recived in UTM. Is there any convenient way to get the results in WGS84? # Convert bounding box to UTM coordinates bb_utm = geo_utils.to_utm_bbox(bbox) transf = bb_utm.get_transform_vector(resx=10, resy=10) >>>(583932.1992386435, 10.0, 0, 2223772.1491772938, 0, -10.0)
Hi, I’m getting the error message when trying to download images again: S2A_OPER_MSI_L1C_TL_SGS__20190224T164104_A019197_T23MMN_N02.07 Traceback (most recent call last): File “teste_aws.py”, line 44, in teste_request(str(lista_de_tiles[i])) File “teste_aws.py”, line 15, in teste_request tile_name, time, aws_index = AwsTile.tile_id_to_tile(tile_id) File “/home/ubuntu/.local/lib/python3.6/site-packages/sentinelhub/aws.py”, line 684, in tile_id_to_tile tile_info = get_tile_info_id(tile_id) File “/home/ubuntu/.local/lib/python3.6/site-packages/sentinelhub/opensearch.py”, line 37, in get_tile_info_id raise TileMissingException sentinelhub.opensearch.TileMissingException Is possible verify integration with OpenSearch? Regards
My name is Sadia, and I work as a website designer. Now I am starting to learn mobile app development. Can someone suggest the best tutorials?
Hello, I have installed Sentinel-2 on AWS CentOS AMI, and I want to access products in Canada the region, how can I set up datasource in sentinel-2 Web UI so it can automatically/Manually download from S3 bucket.
When attempting to process payments for an Airbus Pleiades package, I receive the error “Something went with Paypal…” in red and the order remains as “Placed” in the billing history page. I have attempted to see if revoking the existing subscription and changing payment methods would help with this, but no luck. The same error appears when attempting to purchase a new subscription. Any advice? EDIT: Accidentally posted another message, but it appears that cards work fine. The problem is specific to Paypal.
Hi Folks Before I go off and try to code a conversion between RGB and HSI values (and reverse transformation) does any one have the bones of a script? Many thanks Andrew
I have a Sentinel-2 data ID as : S2B_MSIL2A_20201006T052709_N0214_R105_T43PCT_20201006T075133.zip Now, I wish to download the data with the ID as mentioned above from AWS, I went through the naming convention mentioned over here https://roda.sentinel-hub.com/sentinel-s2-l2a/readme.html , but unable to comprehend how this can be done. I have two questions : a) How can I download the data from AWS with above ID ? b) I want to download the whole data as a zip file (not each file separately) ? Please suggest.
Many thanks for making Sentinel-1 GRD available as cloud optimized geotiffs! Are SLC products available on AWS right now as well? In the “Data structure for Sentinel-1” section of the Sentinel on AWS webpage one can read [product type] = GRD - GRD or SLC but aws s3 ls s3://sentinel-s1-l1c/ shows a single GRD folder only.
Hi everyone I downloaded Sentinel 2 data from the BigEarth archive, and I want to directly compress the ones with 3 RGB bands or compress to 3 or more bands multispectral RGB format, keeping only the RGB bands and discarding the others thanks in advance
Hi, I would like to ask whether it is possible to use multi-temporal scripts with Sentinel-3? Thanks.
S1A_IW_GRDH_1SDV_20180501T003447_20180501T003512_021704_025706_D1EC The above mentioned data is present in Schi-Hub but not in AWS. Can anyone explain the reason?
Has anyone ever tried this approach or should I just learn javascript to do it?
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