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SentinelHub User
posted in Sentinel Hub

How to download Sentinel 2 L2 products prior to 2018?

I am downloading Sentinel-2 L2 products from EObrowser, but I cannot download the data from 2017 to 2018. When I try to download an image of one of the 2017-2018 scenes, I get an error message like the one in the sentences below and cannot download it. This XML file does not appear to have any style information associated with it. The document tree is shown below. Invalid key (81a3da8c-498a-490d-8b3f-98a4296379f4) to access Products I am aware that Sentinel-2 L2 products have been available globally since March 2017. Please respond as I would like to download the relevant data. Best regards.

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10 days ago
S
SentinelHub User
posted in Sentinel Hub

Creating a Custom Grid on a Folium Map

I am quite new to python and I need to create a custom grid with a specific spacing on a Folium map for a particular district. I have added the Polygon of district boundary on the folium map. The grid spacing should be set to 7 km in the x-direction and 5.5 km in the y-direction. I have written the following code but I am stuck at that. Is there any library for creating the grids? Can anyone guide me how to do it? Any help would be appreciated. import folium from shapely.geometry import Polygon import geopandas as gpd # District boundary polygon district_polygon # Create a GeoDataFrame with the polygon as the geometry column district_gdf = gpd.GeoDataFrame(geometry=[district_polygon]) # Set the CRS for the entire GeoDataFrame district_gdf.crs = {'init': 'epsg:4326'} # Defining the size of the grid cells in decimal degrees grid_size_lat = 0.063 # roughly 7km at the equator grid_size_lon = 0.0505 # roughly 5.5km at the

2
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10 days ago
S
SentinelHub User
posted in Sentinel Hub

EO Browser Network Error' downloading Hi-Res'

Hi All, I have created a cloudless mosaic in EO Browser using the cloudless mosaic custom script. However when I try to download this in Hi-Res I get the following error. “An error has occured while fetching some of the images: Network Error”. Reducing the size/resolution of the area being downloaded resolves the issue, but to get the resolution I’m after (approximate 14,000px wide image) would require a large number of downloads and then stitching them together. The “How to create your own Cloudless Mosaic in less than an hour” tutorial looks like what I need, but using “Batch” mode seems to require a 400 euro/month plan. I would be happy to pay to download the image, but this is a one off personal project so 400 euro is a bit out of my budget. Is there another or better way to do this? Any help would be much appreciated. Regards, Steve

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10 days ago
S
SentinelHub User
posted in Sentinel Hub

Area calculation

Hi, I am working with Landsat 5 TM L2 product, I want to calculate the area in Km2 of a particular ROI where I have the number of pixels that cover this ROI. How can I do it? Is there any example? Thank you! F -

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10 days ago
S
SentinelHub User
posted in Sentinel Hub

Question about downloading images with API

Hi! Im using the API for download a bunch of images and i have a trial account. Let’s say that i have a 10.000 lines excel and i have to request those lines and download with the API that quantity of images…can i do that with the trial account or do i have to pay for a package? Because when i go for the line 140, the script send me this error message:SHRateLimitWarning: Download rate limit hit ** warnings.warn(‘Download rate limit hit’, category=SHRateLimitWarning)** I don’t understand the PU usage and that. What do i need to do for download that entire excel? thanks!

5
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10 days ago
S
SentinelHub User
posted in Sentinel Hub

Process API cannot consume resolution 10m

I attempted to download an image of an area, with a resolution of 10m. However, I got a message announcing: “Invalid request”, when I try to request with the following parameters: RESX=10m & RESY=10m. How could I solve this problem? Hope to receive your comment!

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10 days ago
S
SentinelHub User
posted in Sentinel Hub

Difference between Sentinel Playground and EO Browser

Hello, I wonder if someone could help me understand this. What is the difference between Sentinel Playground and EO Browser? Specifically, I am trying to understand why one image is showing cloud cover that the other does not show. Is it that the EO Browser only shows imagery taken for a specific day, whereas the Playground is accumulated data over time? Thanks in advance, Ryan

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10 days ago
S
SentinelHub User
posted in Sentinel Hub

How can I get the exact date the image was captured?

Hi, I’m using the Rest API and retrieving image from this endpoint: https://services.sentinel-hub.com/api/v1/process Here’s my request example: url = "https://services.sentinel-hub.com/api/v1/process" headers = { 'Accept': '*/*', 'Content-Type': 'application/json', 'Authorization': f'Bearer {token["access_token"]}', 'Origin': 'https://apps.sentinel-hub.com', 'Connection': 'keep-alive', 'TE': 'Trailers' } res = requests.request("POST", url, headers=headers, data = json.dumps(payload), timeout=10) What I get in the res.content is an image but I’m also interested in the date it was captured. Is there any way I can get the date it was captured?

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10 days ago
S
SentinelHub User
posted in Sentinel Hub

Convert filename on download

Hi, I’ve just started trialling sentinel hub, with the objective of being able to download a time-series of imager for a specific AOI, less than 10km2. Ideally, it would be best to store the extracted data locally, with an appropriate filename, with the sensor name and acquisition date in the GoeTiff filename. However, when I use the SentinelHubCatalog API and the standard SentinelHubRequest API together, I am only able to pull imagery down with the request format (folder with random request ID, and then the standard ‘request.json’ and ‘response.tif’ files). Is there anyway to rename the file so that it can be identified, otherwise you have to use the request.json each time? Alternatively, am I using the wrong tool? Is there a way of capturing a time-series for a small AOI? Below is my current script, in which I search using Catalog, and then use Request to collect 3 images (I have added a download folder path extracting the date from the timestamp): import python libraries import os

1
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10 days ago
S
SentinelHub User
posted in Sentinel Hub

Max retires exceeded when dowloading data from AWS

I try to download data from AWS, using sentinelhub-py, with following code: import os from datetime import datetime from sentinelhub import CRS, BBox, DataCollection, SentinelHubCatalog, SHConfig from sentinelhub.aws import AwsDownloadClient boto_params = {"RequestPayer": "requester"} config = SHConfig() config.sh_client_id = "my client id" config.sh_client_secret = "my client secret" config.instance_id = "my instance id" config.aws_access_key_id = "my access key id" config.aws_secret_access_key = "my secret access key" s3_client = AwsDownloadClient.get_s3_client(config) def download(s3_tile_path, download_dir, objects_to_download=None): os.makedirs(download_dir, exist_ok=True) all_files = list_tile_objects(s3_tile_path) for file in all_files: file_name = file["Key"].split("/")[-1] if not objects_to_download or file_name in objects_to_download: out_path = os.path.join(download_dir, file_name) _, _, bucket_name, _ = s3_tile_path.sp

3
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10 days ago
S
SentinelHub User
posted in Sentinel Hub

Poor Resolution for Sentinel-2 in ArcMap

I downloaded a 32-bit GeoTiff Sentinel-2 image from 08/08/2016 with which I plan to calculate NDVI in ArcMap, but the resolution is awful. I layer stacked bands 2, 3, 4, and 8 which I had thought are 10m resolution but the image is far from clear. I used the Composite Bands tool to stack but am not sure why even after downloading the image looked so bad. I wanted to know what to do different or preprocessing steps I may have missed? I have access to ERDAS Imagine too since ArcMap is not great for raster data. Thanks!

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10 days ago
S
SentinelHub User
posted in Sentinel Hub

Obtaining Sentinel 2 atmospherically corrected images

Hi There I am still new to using sentinel hub for my sentinel 2 image download. At work we use the sentinel hub configuration utility to generate some of or index maps. Can someone please guide me on how I would go about configuring a wms which would allow me to download and open atmospherically corrected images in QGIS which I can do further processing on. I need access to bands 2,3,4,5,6,7,8,8a,1972,12. I am based in Africa and therefore cant use the recent L2a products which only cover europe. My study area is large and I would like to run a land classification on multiple sentinel2 tiles. Downloading and atmospheric correction manually is consuming far too much of my time. Any advice on how to set up a wms that would allow me to download atmospherically corrected sentinel 2 tiles in QGIS for this purpose would be greatly appreciated.

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10 days ago
S
SentinelHub User
posted in Sentinel Hub

Calculate NDVI for an area using Statistics API

Hi team, We have just started looking at the Statistics API and wanted to check if anyone has done something similar to help us jumpstart the learning. We have polygons of parcels and wanted to identify the best way to get the NDVI statistics for a year period so we can check trends. I did have a look at the EO Browser but i can see C0, C1, C2 returned and wasnt sure if i am doing this right. Any pointers would be much appreciated. Sincerely Darko

1
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10 days ago
S
SentinelHub User
posted in Sentinel Hub

Airbus Pleiades 401 error

{“error”:{“status”:401,“reason”:“Unauthorized”,“message”:“You are not authorized - please provide header [Authorization: Bearer ] with your request.”,“code”:“COMMON_UNAUTHORIZED”}} This is an error that I get when I am trying to display an image preview in python. I use a code from here:docs.sentinel-hub.com Examples of Third Party Data Import Follow these examples to import commercial third-party data into Sentinel Hub. and I don’t see any place where I can put Bearer (I don’t have it. Only ID and key). I have an active package.

7
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10 days ago
S
SentinelHub User
posted in Sentinel Hub

Sentinel Hub | HTTP Error 400: Bad Request

Hello everyone, I am a Network of Resources member. Yesterday and today I ordered some Pleiades satellite data and the orders were successful (checked already in the sentinel-hub “request builder” and on the “EO browser”). Afterwards I started downloading the data via the script (attached underneath) and everything worked well. One hour ago, using the same script (changing only the polygon coordinates) I started to receive a “400 Bad Request Response” (screenshot attached). Kindly I would like to know if there is an issue on the sentinel-hub side or if I have some limitations for downloading data. Thank you in advance. Kind regards

5
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10 days ago
S
SentinelHub User
posted in Sentinel Hub

Sentinal hub ( Having an issue with the pixels generated)

After generating images for SENTINEL1_IW , the images generated has zigzag at the end of each pixel (Edges are not smoothened). Could anyone provide me a solution to the problem . Related image for the current problem is been attached Thanks in advance

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10 days ago
S
SentinelHub User
posted in Sentinel Hub

Error 401 in combination with instance id

Introduction: Hello everyone, I’m a newcomer to working with satellite imagery and SentinelHub. I may need a straightforward explanation or solution, so I appreciate your patience. Despite searching extensively on Google and the forum, I haven’t found a solution to my problem. Context: I successfully followed this Jupyter notebook for migrating from the old API to the new one. However, when attempting this Jupyter notebook for large areas, I encountered an HTTPError 401 Client Error: “You are not authorized,” despite having created the necessary instance ID token. Problem Code Blocks: The code blocks causing the issue are found in cellblocks 15 & 16 and are look as follows in my slighlty modified version: from sentinelhub import SHConfig from decouple import config as credentials config = SHConfig() config.instance_id = credentials("POETRY_SENTINEL_INSTANCE_ID") config.sh_client_id = credentials("POETRY_SENTINEL_CLIENT_ID") config.sh_client_secret = credentials("POETRY_SENTINEL_C

3
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10 days ago
S
SentinelHub User
posted in Sentinel Hub

Sentinel-1 CRS related info

Hey, This might be a bit of a silly question, but I’m querying Sentinel Hub for Sentinel-1 data over a specific AOI. Why is it that for Sentinel-1 we have to use a tuple (something like 20,20) for the resolution, and also how does the CRS affect the output? For instance, for the same AOI, requesting data with EPSG:4326 yields only one pixel, where as using the EPSG:3035 gives me about 17x14 pixels. Also in general, where do I find which CRS to use for a specific satellite? Additionally, if I understand correctly with Sentinel 1, this is also dependent on where the AOI is in the world? Correct? I guess in the EU Sentinel-1 offers higher resolution, where as in the rest of the world it offers lesser resolution? Would appreciate some input about how to wrap my head around the CRS when it comes to Sentinel Hub.

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10 days ago
S
SentinelHub User
posted in Sentinel Hub

Get all sentinel-2 observations for a AOI

I am trying to do a moisture forecast using sentinel-2 for an area of interest and I’d like to get all observations from a certain data range. Here is my current approach: I define mosaicking as TILE in my evalscript for each week, I get the image with max cloud cover less than 0.4 I get several no data images which are dark. I know this is quite expected, but is there alternate way to get all observations for the same AOI and flag the cloudy ones. This is quite important for monitoring a particular FOI. I took a look at the area monitoring article, but the method to retrieve images are not clear to me. It would be great if you can offer my any insights on this. If I am correct, the use a similar approach like mine as well.

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10 days ago
S
SentinelHub User
posted in Sentinel Hub

True colour are Images too bright or extremely dark

I tried to increase the time window to up to 8 months and set least cloud cover to 15 percent, but I am getting images that are too bright or completely dark, although the area is just 74.5 km2 which is large enough to not be completely dominated by clouds I assume. Is there a work around to get decent images for time series analysis of this specific area. example image (11 months least CC mosaicking) example image (3 months least CC mosaicking) The code used: /VERSION=3 function setup() { return { input: [{ bands: ["B01", "B02", "B03", "B04", "B08", "B05", "B06", "B07", "B8A", "B11", "B12"], units: "DN" }], output: { bands: 4, sampleType: "INT16" } }; } function evaluatePixel(sample) { return [sample.B01, sample.B02, sample.B03, sample.B04, sample.B05, sampl

9
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10 days ago
S
SentinelHub User
posted in Sentinel Hub

Is it possible to know which row/s causing error in Statistical API via Python?

I have a relatively long script in which I calculate multiple Sentinel-2 indices, and then I get an error. Is it possible to get more information about the error, most importantly - which line caused the error? Otherwise, I need to kind of guess via trial and error, which takes a long time. Just to be clear - The question here is not the specific error in this script (which I found and fixed), rather more generally, if it is possible to get the line number or some specific indication of where is the error in long scripts. This is the script: evalscript =‘’’ //VERSION=3 function setup() { return { input: [“B01”,“B02”,“B03”,“B04”,“B05”,“B06”,“B07”,“B08”,“B8A”,“B09”,“B11”,“B12”,“SCL”,“dataMask”], output: [ {id:“coastal_blue”,bands:1,sampleType:“UINT16”}, {id:“blue”,bands:1,sampleType:“UINT16”}, {id:“green”,bands:1,sampleType:“UINT16”}, {id:“red”,bands:1,sampleType:“UINT16”}, {id:“rededge1”,bands:1,sampleType:“UINT16”}, {id:“rededge2”,bands:1,sampleType:“UINT16”}, {id:“rededge3”,bands:1,s

1
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10 days ago
S
SentinelHub User
posted in Sentinel Hub

Is there any provision to get the overlapping area with the PlanetScope Image through API

We want to programatically download the PlanetScope data for either specific dates or date range. So, is there any provision currently to download a tile which has the maximum overlapping area with our shape/polygon on same date. For example i have attached the screenshot of two Planet Images of the same day. We would want to download the second one rather than first one.

1
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10 days ago
S
SentinelHub User
posted in Sentinel Hub

Imagery scenes not downloading

We are having problem with inconsistency with downloading scene tiles. It seems that imagery is available on ESA site but not on AWS very frequently. The current issue is scene tiles 17SKR and surrounding scenes on 6/6/18 and 6/11/18. They do show up in quicklooks but cannot access through our script. Lanny

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10 days ago
S
SentinelHub User
posted in Sentinel Hub

Latitude and longtitude to pixel position

Hello, Assume I have an image whcih its size is (10000,10000) and its boundin box is: geometry = [ [ [ 37.831375, 37.319936 ], [ 39.855892, 37.319936 ], [ 39.855892, 36.648589 ], [ 37.831375, 36.648589 ], [ 37.831375, 37.319936 ] ] ] What can I do if I want to find this polygon coordinates in the image ? [[[39.496605773761, 37.323714883356], [39.496514330921, 37.323732909052], [39.495225305793, 37.319562136161], [39.500846543296, 37.31845390628], [39.502573247157, 37.321674080317], [39.496605773761, 37.323714883356]]]

4
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10 days ago
S
SentinelHub User
posted in Sentinel Hub

Sentinel-2 .tif bands RGB

Hello! I have this from my teacher (I’m a student). I need to display the image in RGB format, using the channels 4, 3, 2. I did that, and I managed to view the images (I tried with 2 for starters, but I will visualize all 12 of them). The code I used is: import os import cv2 import numpy as np import matplotlib.pyplot as plt import rasterio from skimage import exposure, filters def load_rgb_image(folder_path, red_band, green_band, blue_band): # Lista de nume de fișiere TIF din folder file_names = os.listdir(folder_path) # Citirea datelor din benzile specifice bands_data = [] for band in [red_band, green_band, blue_band]: band_path = os.path.join(folder_path, band + '.tif') with rasterio.open(band_path) as src: band_data = src.read(1) bands_data.append(band_data) # Crearea imaginii RGB rgb_image = np.dstack(bands_data) return rgb_image Setare căi către foldere folder_path_1 = “/content/drive/MyDrive/sentinel/S2A_MSIL2A_20170426T091031_N0204_R050_T35TMK_20170

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10 days ago
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