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Sentinel Hub

Sentinel Hub, powered by Planet Labs, allows you easily perform spectral analysis and interact with Planet data without needing other software. Build solutions, analyze data at scale, and find insights in this powerful tool.

  • 2,545 Topics
  • 8,899 Replies
2545 Topics
S
SentinelHub User
posted in Sentinel Hub
DeflateError: libdeflate_zlib_decompress returned LIBDEFLATE_INSUFFICIENT_SPACE

Hi, my code was working without problem downloading all bands in my old computer, now that i switched to a new one i get this error whenever i try to download all bands: DeflateError: libdeflate_zlib_decompress returned LIBDEFLATE_INSUFFICIENT_SPACE There is no issue when i try to download a regular natural true color image Versions: Python: 3.9.18 Sentinelhub: 3.9.1 Code example: all_bands_script = ‘return [B01,B02,B03,B04,B05,B06,B07,B08,B8A,B09,B10,B1972,B12]’ config = SHConfig() config.instance_id = idcuarteles[c] wms_request = WmsRequest(layer='NATURAL-COLOR-TRUE-COLOR', custom_url_params={CustomUrlParam.EVALSCRIPT: all_bands_script}, bbox=BBox(bbox=mybbox, crs=CRS.WGS84), time=FECHADESCARGA, width=1000, height=856, maxcc=0.1, ima

4913
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8 months ago
S
SentinelHub User
posted in Sentinel Hub
Download catalog items

search_iterator in the code below finds two sentinel2 files as SAFE format (S2A_MSIL2A_20231114T110311_N0509_R094_T31UDQ_20231114T143858.SAFE and S2A_MSIL2A_20231114T110311_N0509_R094_T31UDR_20231114T143858.SAFE): import os import datetime import numpy as np import matplotlib.pyplot as plt import pandas as pd import requests import getpass from sentinelhub import ( SHConfig, DataCollection, SentinelHubCatalog, SentinelHubRequest, BBox, bbox_to_dimensions, CRS, MimeType, Geometry, MosaickingOrder, ) config = SHConfig("myprofile") aoi_coords_wgs84 = [2, 49, 2.5, 49.7] resolution = 10 aoi_bbox = BBox(bbox=aoi_coords_wgs84, crs=CRS.WGS84) aoi_size = bbox_to_dimensions(aoi_bbox, resolution=resolution) print(f"Image shape at {resolution} m resolution: {aoi_size} pixels") catalog = SentinelHubCatalog(config=config) time_interval = "2023-11-14", "2023-11-14" search_iterator = catalog.search( DataCollection.SENTINEL2_L2A, bbox=aoi_bbox, ti

573
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8 months ago
S
SentinelHub User
posted in Sentinel Hub
Import eolearn throws import error - Jupyter Notebook

Import eolearn throws import error - Jupyter Notebook

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8 months ago
S
SentinelHub User
posted in Sentinel Hub
Planet API key retrived

Hi, I’m a bit confused about how to order PlanetScope data exploiting sentinel hub services. I need high resolution data for several AOI, I would like to use PlanetScope data through Subscription API. Currently I have a subscription for Sentinel Hub Exploration Processing Plan. The required data can be retrived withhttps://services.sentinel-hub.com/api/v1/process specifying geometry, timeRange, evalscript, collection_id etc etc in the json data and the SentinelHub token in the header. Collection_id can be obtained withhttps://services.sentinel-hub.com/api/v1/dataimport/orders and thenhttps://services.sentinel-hub.com/api/v1/dataimport/orders/order_id In the first url, it is required the planetApiKey. how i can obtain this value?

501
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8 months ago
S
SentinelHub User
posted in Sentinel Hub
decodeL8C2Qa properties explained in more detail?

I’m trying to understand exactly the meaning of cloud, clear and cloudConfidence. from the docs: cloud number 0 for cloud confidence is not high, 1 for high confidence cloud clear number 0 if cloud or dilated cloud, or else 1 cloudConfidence number here is my logic:cloud is if there is a cloud in that location. but instead of 0 (no cloud) and 1 (yes cloud), it has values in between to account for "calculation/measurement anomalies " etc. I would expect to have clear as the opposite. but there is no confidence in the description. so it’s just a binary? or the doc is misleading? I have not downloaded and examined the data yet, I’m trying to understand it first. observation might be misleading 🙂 . if cloud is the confidence of a cloud, what is cloudConfidence and why do I need both values? the existence of cloudConfidence makes me doubt my reasoning for cloud. I can understand why someone will want clear, especially if it includes dilated cloud. does cloudconfidence include all

112
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8 months ago
S
SentinelHub User
posted in Sentinel Hub
Bbox list is empty

My bbox list is empty. I am unable to knwo why is it so. Create the splitter to obtain a list of bboxes bbox_splitter = UtmZoneSplitter([country_shape], country.crs, 5000) bbox_list = np.array(bbox_splitter.get_bbox_list()) info_list = np.array(bbox_splitter.get_info_list()) Prepare info of selected EOPatches geometry = [Polygon(bbox.get_polygon()) for bbox in bbox_list] idxs = [info[‘index’] for info in info_list] idxs_x = [info[‘index_x’] for info in info_list] idxs_y = [info[‘index_y’] for info in info_list] gdf = gpd.GeoDataFrame({‘index’: idxs, ‘index_x’: idxs_x, ‘index_y’: idxs_y}, crs=country.crs, geometry=geometry) select a 5x5 area (id of center patch) ID = 616 Obtain surrounding 5x5 patches patchIDs = [] for idx, [bbox, info] in enumerate(zip(bbox_list, info_list)): if (abs(info[‘index_x’] - info_list[ID][‘index_x’]) <= 2 and abs(info[‘index_y’] - info_list[ID][‘index_y’]) <= 2): patchIDs.append(idx) Check if final size is 5x5 if len(patchIDs) != 5*5: print(‘Warning! U

623
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8 months ago
S
SentinelHub User
posted in Sentinel Hub
Downloading Planetscope data on local drive

Good day, I have a collection of planetscope data/tiles sitting in Sentinelhub (i.e. the aws server you provide). What would be the easiest way for me to download all of the tiles on my local drive? Do you guys offer an option to download these as zarr or other array-based formats? FYI I am trying to run a NDVI time-series analysis and am having trouble doing it with your statistical API (via your request builder). Hence why I’m opting to just do this in python myself…feel free to suggest other options… Many thanks

443
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8 months ago
S
SentinelHub User
posted in Sentinel Hub
Harmonized Landsat Sentinel vs Sentinel-2 2LA

Hi, It’s great to see HLS being available on SentinelHub! I’m interested in tracking NDVI for an AOI and I was wondering how comparable the results are with NDVI from Sentinel-2 L2A. The inputs to HLS are Sentinel-2 L1C and Landsat 8/9 (both of top-of-atmosphere reflectance), whereas Sentinel-2 L2A is of bottom-of-atmosphere reflectance. According to HLS documentation, atmospheric correlation is applied to both inputs: A series of radiometric and geometric corrections are applied to convert data to surface reflectance, adjust for BRDF differences, and adjust for spectral bandpass differences. “convert to surface reflectance” → Does it mean that HLS is in fact of bottom-of-atmosphere reflectance? Apologies in advance if this question is more suitable to HLS authors (USGS) but I thought I could get a quicker response here 🙂

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8 months ago
S
SentinelHub User
posted in Sentinel Hub
Creating NDVI and NDWI pictures

Hello, currently I want to create NDVI and NDWI pictures with the python API for sentinelhub. My evalscript for NDVI looks like that: And for NDWI: It works fine for NDVI. In the case of NDWI, I only get a black picture. So, I want to understand how the NDWI picture is created. How the transformation of the values from -1 to 1 ( what we get, when we calculate let ndwi, let ndvi) to 0 - 255 works. Because when i add plus one: It works. I get an image, which looks good. But i don’t know if it is correct… Thanks for your help in advance!

969
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8 months ago
S
SentinelHub User
posted in Sentinel Hub
Sentinel-2 coregistration

Hi, I would like to use Sentinel-2 L1c band 8 data for research purpose. I work with pixel timeseries, therefore I have serious problems with the co-registration of Sentinel-2, since I found an error of a few pixels in many images. Is there any tutorial you can recommend to me to solve the issue? Thanks in advance

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8 months ago
S
SentinelHub User
posted in Sentinel Hub
Sentinel1 orthorectification using SRTM or ASTER DEM

Hello,I wanted to ask if there is any option or plan to use the orthorectication an option to use SRTM (or ASTER DEM for areas greater than 60 degrees latitude as SRTM is not available)? It seems like using those files might give better results.Best,

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8 months ago
S
SentinelHub User
posted in Sentinel Hub
Result of SentinelHubRequest downloads only 1 image when seems like there are more

Hello, I have download sentinel1 image using sentinelhub: bbox_coords_wgs84=[-47.949734553694725,-8.746513680257486,-47.93459851294756,-8.717573061584929] #Time Interval for images time_interval = ('2020-12-01', '2021-01-10') evalscript = """ //VERSION=3 return [VV,VH, dataMask] """ time_interval = time_interval request = SentinelHubRequest( data_folder='sen1_test1', evalscript=evalscript, input_data=[ SentinelHubRequest.input_data( data_collection=DataCollection.SENTINEL1_IW, time_interval=time_interval, other_args = {"dataFilter":{"demInstance":"COPERNICUS_30"},"processing":{"orthorectify":True,"backCoeff":"SIGMA0_ELLIPSOID"}} ) ], responses=[ SentinelHubRequest.output_response('default', MimeType.TIFF) ], bbox=bbox, config=config ) image = request.get_data(save_data=True) plot_image(s1_data[0], factor=1) when I print len(s1_data) I get 6, so I believe it got two im

221
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8 months ago
S
SentinelHub User
posted in Sentinel Hub
Extract raw bands value with given coordinates&time?

Hello, I have a massive list (~1million) of locations at given date and need to find matchup raw spectral bands of MODIS, MERIS, sentinel-3 OLCI sensors at the given date/location if available. some example locations below: Name Lat Lon DateTime MB05SBS311 50.63333 -96.95000 2016-06-02T14:00:00 MB05SBS126 50.51692 -96.83340 2016-06-03T14:00:00 MB05SBS317 50.44290 -96.70935 2016-06-03T14:00:00 MB05SBS347 50.63838 -96.98022 2016-06-03T14:00:00 … I can do this task by downloading the imagery that covers the location/date, and then use ESA SNAP software, however, it is impossible with such a massive dataset and the download will take months or years, also I don’t have space to store that much image. I tried the CREODIAS platform, but it is very slow to access its eodata currently and don’t have access to MODIS data yet. After reading around I feel there maybe luck with SentinelHub, I probably need to use the Statistical API, but I did not find some example to start with. I am familiar

312
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8 months ago
S
SentinelHub User
posted in Sentinel Hub
Landsat collections not found in search

Hello, I’m getting {“code”:404,“description”:“Collection not found.”} returned when using the search api for landsat-tm-l1, directly hitting the rest endpoint or using the python module, e.g. curl -X GET -G https://services.sentinel-hub.com/api/v1/catalog/1.0.0/search \ --header 'Authorization: Bearer xxx' \ --data 'bbox=13,45,14,46' \ --data 'limit=5' \ --data 'collections=landsat-tm-l1' \ --data 'datetime=1990-12-10T00:00:00Z/2019-12-11T00:00:00Z' catalog.search( DataCollection.LANDSAT_TM_L1, bbox=bbox, time=(start, end), fields={"include": ["id", "properties.datetime", "properties.eo:cloud_cover"], "exclude": []} ) Looks like none of these are working: DataCollection.LANDSAT_MSS_L1 DataCollection.LANDSAT_TM_L1 DataCollection.LANDSAT_TM_L2 DataCollection.LANDSAT_ETM_L1 DataCollection.LANDSAT_ETM_L2 DataCollection.LANDSAT_OT_L1 DataCollection.LANDSAT_OT_L2

551
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8 months ago
S
SentinelHub User
posted in Sentinel Hub
Curl API problem

I am trying to use the curl API for the first tile and am getting an error. I successfully set up my oauth credentials and can get a token, but when I try to run this example it does not work:https://docs.sentinel-hub.com/api/latest/data/sentinel-2-l2a/examples/#other-s2l2a-specific-data-aerosol-optical-thickness-scene-classification-snow-and-cloud-probabilities-sun-and-view-anglesI have double checked my curl command and it is implemented exactly like the example as far as I can tell (with my token inserted), but I get this error:{“error”:{“status”:400,“reason”:“Bad Request”,“message”:“Script contains no code to execute.”,“code”:“RENDERER_EXCEPTION”}}Any ideas what could be wrong? Can others successfully run the example?Thanks… 

376
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8 months ago
S
SentinelHub User
posted in Sentinel Hub
Listing orders gets 100 orders only

Hello, When I try to get a list of all our orders using url = "https://services.sentinel-hub.com/api/v1/dataimport/orders" response = oauth.get(url) response.raise_for_status() print(len(response.json()['data'])) I always get only 100 orders. Is there a way to get the next 100 orders or get all orders all at once?

213
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8 months ago
S
SentinelHub User
posted in Sentinel Hub
Download image at higher resolution

I am unable to download high-resolution image for evaluating whether it meets our requirements. Right now, we can only download the image at 100m. Can we download image at smaller distance, i.e., 2m, 5m?

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8 months ago
S
SentinelHub User
posted in Sentinel Hub
Layer TRUE-COLOR-S2-L1C not found

Hi! I am using repository of Blue-Dot- water-observatory-backend but I am getting this error, if anyone knows please guide me, Thanks in anticipation

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8 months ago
S
SentinelHub User
posted in Sentinel Hub
Crop Identification

Hello, I’m trying to identify the crop culture (soybeans, corn, wheat, oats…), using satellite image or other data, but so far I didn’t find any way to do so. Anyone has a clue of how I could do it? Thanks

846
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8 months ago
S
SentinelHub User
posted in Sentinel Hub
WcsRequest MimeType.TIFF_d16 range

Hi! I have noticed range values of MimeType.TIFF_d16 are quite diferent than the original images. Almost all values of a satellite image usually are between 0 and 5000 (e.g. this happen when downloading the whole image from Copernicus). But, downloading raw images with sentinel-hub return images between 0 and 15000 or even higher. Why does it happen? Does Sentinel-hub make any transformation before uploading the image? How that transformation works? Thank you.

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8 months ago
S
Sinergise Team
posted in Sentinel Hub
Understanding evalscript/V3 structure in custom scripts

Hi Forum, I am trying to get my head around the way evalscripts work by converting a simple script to follow the V3 evalscript structure. So if I have the following script functioning in EO Browser: let kndvi = Math.tanh(Math.pow(((B08 - B04) / (B08 + B04)), 2)); //Visualization, as used in EO Browser: if (kndvi<-1.1) return [0,0,0]; else if (kndvi<-0.2) return [0.75,0.75,0.75]; else if (kndvi<-0.1) return [0.86,0.86,0.86]; else if (kndvi<0) return [1,1,0.88]; else if (kndvi<0.025) return [1,0.98,0.8]; else if (kndvi<0.05) return [0.93,0.91,0.71]; else if (kndvi<0.075) return [0.87,0.85,0.61]; else if (kndvi<0.1) return [0.8,0.78,0.51]; else if (kndvi<0.125) return [0.74,0.72,0.42]; else if (kndvi<0.15) return [0.69,0.76,0.38]; else if (kndvi<0.175) return [0.64,0.8,0.35]; else if (kndvi<0.2) return [0.57,0.75,0.32]; else if (kndvi<0.25) return [0.5,0.7,0.28]; else if (kndvi<0.3) return [0.44,0.64,0.25]; else if (kndvi<0.35) return [0.38,0.

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8 months ago
S
SentinelHub User
posted in Sentinel Hub
Processing units per minute are insufficient

In our application, we use Sentinel-Hub to fetch historical satellite data (since 2018) for the purpose of analyzing agricultural fields. We fetch the data gradually (month by month instead of a few years at once) for the purpose of handling errors and better user experience (users can observe the ongoing process). Unfortunately, this approach sends too many requests – even the most expensive plan, which offers 1200 requests per minute could potentially be insufficient if we needed to download data about dozens/hundreds fields simultaneously. Is there any way in which we could reduce the number of requests in our specific case? Alternatively, is there a possibility to increase the request limit? Below, you’ll find code snippets, which aim to offer a clearer insight into our strategies. In our app we are using library sentinelhub-js (GitHub - sentinel-hub/sentinelhub-js: Download and process satellite imagery in JavaScript or TypeScript using Sentinel Hub services.) to fetch data from S

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8 months ago
S
SentinelHub User
posted in Sentinel Hub
Sentinel-1: Repeated data, separate files, different date and time

I have found locations for which there is a morning pass and an evening pass with the opposite look angles (one ascending, one descending), but for every date that they occur, the contents of the files are duplicated. In other words, the EO Browser lists the two different files with two different date/times, but the underlying data is exactly the same, and is the data from the earlier morning pass. I’m talking about Sentinel-1A and Sentinel-1B. It’s even worse than that. If you search for Ascending only, you get the Descending data commingled with the Ascending data. There is no separating the two passes in EO Browser.

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8 months ago
S
SentinelHub User
posted in Sentinel Hub
Download all available data for specific scene

Hi all, I would like to download all available data for a specific scene and was wondering if this is possible with EO Browser? It seems like I’m only able to download one scene at a time and therefore would like to speed up this process. If this is not possible, how would I do that via AWS? Thanks, Steyn

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8 months ago
S
SentinelHub User
posted in Sentinel Hub
S1 missing pixels

I am trying to download S1-GRD images for a specific Bounding Box but there are missing pixels and the error is consistent across multiple dates see below an example of the missing pixels: See also below an example of a single date request, I have also been able to replicate the error using the Request Builder. { "request": { "headers": { "accept": "image/tiff", "content-type": "application/json" }, "payload": { "evalscript": "\n//VERSION=3\n\nfunction setup() {\n return {\n input: [\n {\n bands: [\"VV\",\"VH\"], \n }\n ],\n output: [\n {\n id: \"default\",\n bands: 2,\n sampleType: \"FLOAT32\", \n noDataValue: 0,\n }, \n ],\n mosaicking: \"Simple\",\n };\n }\n\n\n function evaluatePixel(samples) {\n // Your javascript code here\n return {\n defau

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8 months ago
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