#eodata
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sofialazar.bsky.social
✅ I did my part...

🌳🌍 3D Amazon Rainforest: 2024 Tropical Moist Forest edition!

Elevation, vegetation, human impact: all in one view

📊 Data: forobs.jrc.ec.europa.eu/TMF/data

#3D #Amazon #EarthObservation #GIS #RemoteSensing #Rstats #EOData #SouthAmerica #Brazil #Peru
April 19, 2025 at 5:32 PM
blasbenito.com
Call me silly, but hosting Copernicus Data Space (s3://EODATA) in AWS us-east-1 rather undermines the whole idea of "European data sovereignty", whatever that means.
#geospatial #eo
January 22, 2026 at 1:00 PM
developmentseed.org
So much Earth observation data is collected, processed, and analyzed—yet it still doesn’t reach the people who need it most.

The challenge? Turning data into actionable insights.

Read more about how we’re connecting the dots: ⬇️

🔗 ds.io/eodata-journey
@emmanuel.mathot.org
February 5, 2025 at 5:33 PM
eomasters.org
Have you also had problems downloading #EO data from CDSE the last days?
Now it seems to be fixed. However, it is still possible to see 404 errors. They are working on this.

https://sentinels.copernicus.eu/-/update-cdse-eodata-access-issue

#remotesensing #earthobservation
UPDATE CDSE: EOdata access issue - Sentinel Online
UPDATE CDSE: EOdata access issue
sentinels.copernicus.eu
February 13, 2025 at 2:17 PM
brockmannconsult.bsky.social
Iceland’s Ok volcano once carried its own glacier — Okjökull. Today, only snow remains, vanishing each summer. See how Sentinel-2 captures its changing face and the story of a glacier that’s gone. Read more in our #BCEarthGallery:
👉 bit.ly/3JeE3wI
#Iceland #Glacier #Sentinel2 #ClimateChange #EOData
October 20, 2025 at 8:10 AM
stippe87.bsky.social
I don't know how to do that with R, but in python you can even use Copernicus cloud to process data with the eodata library. For free. It is amazing.
June 3, 2026 at 6:38 PM
aretsch.bsky.social
Nice find! "Ok" is top left and there are a lot more in the whole area and that's in 7 years only.....

📸🛰 #Sentinel2 2917.10. vs 2015.10.

Footage: @sentinelonline.bsky.social

#Iceland #EOData #Glacier
October 20, 2025 at 11:43 PM
brockmannconsult.bsky.social
As chlorophyll fades, autumn paints the forests in gold, orange, and red — pigments revealed and created by nature’s chemistry. See how Sentinel-2 tracks this change across Alaska’s boreal landscape.
Read more in the full #BCEarthGallery post:
👉 bit.ly/4nWdKuq
#Sentinel2 #AutumnColors #EOData
Autumn leaf colors
October 23, 2025 at 6:48 AM
obsgession.eu
🌍 Next on #OBSGESSIONpartners: Brockmann Consult GmbH, a private company specialising in software and #geoinformatics services with a strong focus on #EOdata and products. 🛰️

Discover how their work helps power OBSGESSION. ⬇️
December 5, 2025 at 11:19 AM
brockmannconsult.bsky.social
🚀 xcube v1.12.0 is here! 🎉

Big updates: New xcube DataStore and Server & Viewer features + fixes:

JPEG2000 support, smarter preload handling, improved metadata, and fresh Viewer visuals.

🔗 Learn more:
Documentation: bit.ly/3L8TDuD
GitHub: bit.ly/47qH8Sm

#xcube #Python #OpenSource #EOData
October 27, 2025 at 10:00 AM
nceoscience.bsky.social
🌍 The Earth Observation Data Hub is turning satellite data into real-world impact!

Check out 3 new case studies showing how EODH supports research, business & government with actionable insights.

👉 Read more: tinyurl.com/mtx5jruu

#EarthObservation #Innovation #EOData

@space4climate.bsky.social
Earth Observation Data Hub: Supporting Innovation Across Research, Business, and Government - National Centre for Earth Observation
We’re pleased to share three new case studies for the Earth Observation Data Hub (EODH) that demonstrate the platform’s versatility and value across research, business, and government.
tinyurl.com
December 18, 2025 at 12:47 PM
sentinelonline.bsky.social
🛰️ Sentinel-2 Mission status & outlook at #LPS25
📅 25 June | 🕦 08:30–10:00 | 📍 Room 0.94–0.95
Updates on ops, data access & future vision for one of Copernicus’s flagship missions
🔗 lps25.esa.int
#Sentinel2 #EarthObservation #ESA #EOdata
Promotional graphic for the Living Planet Symposium 2025 hosted by ESA (European Space Agency), featuring the C.03.16 Session titled 'Sentinel-2: Mission Status and Outlook'. The session is scheduled for 25 June 2025, from 08:30 to 10:00 CEST, in Room 0.94/0.95. Tagline reads: 'From observation to climate actions and sustainability for Earth'. Event hashtag: #LPS25. Location: Vienna, 23–27 June 2025.
June 18, 2025 at 2:00 PM
nithecs.bsky.social
NITheCS Micro-school: 'Unlocking Earth Observation Data – Access and Analysis with Xarray Ecosystem Tools' - Marco Wolsza (Friedrich Schiller University Jena, Germany) – Fri, 28 March @ 12h00-12h30 SAST. Register to attend online. buff.ly/wmmUlTS #xarray #eodata #python #cubo #odcstac #spyndex
March 20, 2025 at 9:55 AM
opengeohub.bsky.social
⏰ Reminder: Apply for the EO-Summer School 2025! 🌞 "Data Science for Earth Observation: Hands on Training in Python, R & Julia" 🛰️🌏

🚨 Applications Deadline is 18th of January!
🔗 Apply: forms.gle/DLE1JjoG17Ef...

📅 Sept 1-6, Wageningen 🇳🇱

🌐 Info: opengeohub.org/summer-schoo...

#EOData #GIS
January 9, 2025 at 10:39 AM
element84.com
As we continue to lean into conference season, we're continuing our discussions about gaps in #EOData and beyond.

This specific conversation centered around future improvements to Scientific #Python, according a member of the Pangeo community.
A graphic showing a quote reading, "Scientific Python needs to be focusing on pushing core functionality of numcodecs, imagecodecs, raster processing, and file streaming down into base libraries like Rust or C++. That is the way to get performance while also supporting implementations in other libraries via bindings. We can't always assume Python. - Pangeo Community Member, Developer". There is an Element 84 logo and the background has a topographic pattern on a blue and green gradient.
May 15, 2025 at 9:04 PM
owenboswarva.bsky.social
Satellogic EarthView Dataset Now Openly Accessible via Registry of Open Data on AWS satellogic.com/news/press-r... from Satellogic

Access details satellogic-earthview.s3.us-west-2.amazonaws.com/index.html

Paper by Diego Velazquez et al doi.org/10.48550/arX...

#geospatial #EOdata #opendata
The Satellogic EarthView dataset includes over 2 million regions across five continents with multiple revisits, reaching in total over 7 million images. By having access to Satellogic EarthView on AWS, researchers AWS pay only for computing services they use without having to purchase extra storage. AWS, through its Open Data Sponsorship Program, is covering the costs of the storage and transfer of the data, so that it can be accessed and analyzed in the cloud by researchers around the world. A small number of these regions overlap significantly. Images are provided in COG format and include four bands: red, blue, green and near-infrared. For each region and date, the dataset provides Top-Of-Atmosphere reflectance values. Metadata contains off-nadir, sun elevation angle, satellite altitude and other relevant information. Satellogic images were captured between July 1, 2022, and December 30, 2022. Satellogic EarthView is one of the largest contributions made by a commercial company in the Earth Observation community, made available under the CC BY 4.0 license. This dataset was created in collaboration with ServiceNow Research. …
February 27, 2025 at 8:46 AM
benjmy.bsky.social
📍 Location: Madrid, Spain (tech4Agro, ICA-CSIC)
⏳ Duration: 2 years
🔗 Expression of interest now ! More info: [CSIC Job Portal](www.csic.es/en/node/168340)
#Hydrogeophysics #EOdata #WaterAccounting #RemoteSensing #Geophysics #TWISTT #Research #PRIMA
2 years hydrogeophysical post-doctoral position - TWISTT EU project | Consejo Superior de Investigaciones Científicas
We are seeking a motivated Post-doctoral researcher (2 years appointment) for the project titled ‘Who twists the tap? Bridging soil-plant-atmosphere dynamics with advanced EO data to address water acc...
www.csic.es
April 7, 2025 at 8:32 AM
datentreiber.bsky.social
Agentic AI isn’t won by better prompts—it’s won by better multi-agent architecture. See which MAS patterns fit which tasks (supervisor, blackboard, swarm, hybrid) + a free Miro template. #MultiAgent #AgenticAI #SystemDesign #EOdata
July 16, 2026 at 11:00 AM
earsc.bsky.social
Got a brilliant idea using #EOdata?

@CloudFerro launched the Geospatial Innovation Competition 2025 – open to all building apps with #geospatial data, AI tools & the #CREODIAS platform.

🎯 Prizes: tech support, cloud resources & mentoring.
🗓️ May 31
Learn more here⤵️
t.co/vy9TPRvbQk
https://cloudferro.com/geospatial-innovation-competition-2025/
t.co
April 4, 2025 at 8:07 AM
owenboswarva.bsky.social
Digital Great Britain coastlines (DiGBcoast v1.0): a dataset of the coastline position of Great Britain from 1984 to 2022 www.data.gov.uk/dataset/bfed... big new spatial dataset from the British Geological Survey et al #geospatial #remotesensing #eodata #opendata (OGL)
DiGBcoast v1.0, is a new supranational dataset documenting three decades of coastal change across Great Britain mainland (England, Scotland, and Wales) including the isle of Wight and Anglesey. This dataset has been produced using the publicly available optical Landsat-5,8 and Sentinel-2 missions over the period between 1984 to 2022 (38 years). It includes instantaneous waterlines and instantaneous tidally corrected to Mean Sea Level shorelines. DiGBcoast is made available to the public as free and open interactive data to support future coastal research and management across Great Britain.
March 22, 2024 at 4:46 PM
thegichd.bsky.social
We're looking for a consultant or company to develop technical content for explosive ordnance guides focused on #Syria & #Gaza. Minimum #IMAS EOD L3+ qualification or equivalent and proven experience of at least five years conducting EOD activities🔻
link.gichd.org/RFO-EOData
November 17, 2025 at 10:29 AM
eomasters.org
New update. Now only the checksums are still missing
sentinels.copernicus.eu/-/latest-upd...
latest update CDSE: EOdata access issue - Sentinel Online
sentinels.copernicus.eu
February 14, 2025 at 3:37 PM
vanuatugis.bsky.social
Does GDAL VRT SimpleSource bypass JP2 TLM byte-range optimization over /vsis3?
Could you please confirm whether GDAL, when using a VRT that references JP2 rasters from a private bucket through SimpleSource, is unable to properly use TLM markers to read only the required byte ranges? I tested reading the JP2 file directly with GDAL/OpenJPEG and comparing it with reading the same file through a VRT. The performance difference was huge, with the VRT being much slower. For example: EPSG:32634 300000.0, 160.0, 0.0, 5900040.0, 0.0, -160.0 Red /vsis3/eodata/Sentinel-2/MSI/L2A/2026/05/06/S2A_MSIL2A_20260506T100041_N0512_R122_T34UCD_20260506T165311.SAFE/GRANULE/L2A_T34UCD_A056776_20260506T100128/IMG_DATA/R10m/T34UCD_20260506T100041_TCI_10m.jp2 1 Green /vsis3/eodata/Sentinel-2/MSI/L2A/2026/05/06/S2A_MSIL2A_20260506T100041_N0512_R122_T34UCD_20260506T165311.SAFE/GRANULE/L2A_T34UCD_A056776_20260506T100128/IMG_DATA/R10m/T34UCD_20260506T100041_TCI_10m.jp2 2 Blue /vsis3/eodata/Sentinel-2/MSI/L2A/2026/05/06/S2A_MSIL2A_20260506T100041_N0512_R122_T34UCD_20260506T165311.SAFE/GRANULE/L2A_T34UCD_A056776_20260506T100128/IMG_DATA/R10m/T34UCD_20260506T100041_TCI_10m.jp2 3 Or, when moving the barrier event further down the pipeline with a pixel function: EPSG:32634 300000.0, 160.0, 0.0, 5900040.0, 0.0, -160.0 0 norm_diff /vsis3/eodata/.../IMG_DATA/R10m/T34UCD_20260506T100041_B04_10m.jp2 1 /vsis3/eodata/.../IMG_DATA/R10m/T34UCD_20260506T100041_B08_10m.jp2 1
gis.stackexchange.com
May 8, 2026 at 11:54 AM
vanuatugis.bsky.social
#GISStackExchange
Access and download Sentinel-2 images from EODATA collection using stackstac
I've written the code below to generate a mosaic of Sentinel-2 L1C images. import boto3 import geopandas as gpd import os from dotenv import load_dotenv import pystac_client import stackstac import rasterio from rasterio.session import AWSSession import rioxarray load_dotenv() aws_key = os.getenv("AWS_CDSE_ID") aws_secret = os.getenv("AWS_CDSE_SECRET") session = AWSSession( aws_access_key_id=aws_key, aws_secret_access_key=aws_secret, region_name="default", endpoint_url="eodata.dataspace.copernicus.eu") aoi_geojson = "AOI/aoi_avocado_ETH.geojson" start_date = "2019-01-01" end_date = "2019-01-05" aggregation_method = "median" cloud_cover_threshold = 20 output_path = "DOWNLOADS/RENDVI1_avocado_ETH_2019-01-01_2019-01-05.tif" aoi_grid = gpd.read_file("AOI/processing_grid_4x4_Ethiopia_20250722.geojson") cell_i = aoi_grid.iloc[0]["geometry"] URL = "https://stac.dataspace.copernicus.eu/v1/" catalog = pystac_client.Client.open(URL) xmin, ymin, xmax, ymax = cell_i.bounds items = catalog.search( collections=["sentinel-2-l1c"], intersects=dict(type="Polygon", coordinates=[[ [xmin, ymin], [xmax, ymin], [xmax, ymax], [xmin, ymax], [xmin, ymin] ]]), #query = ['eo:cloud_cover
gis.stackexchange.com
July 29, 2025 at 12:51 AM