Streambatch.io
@streambatch
Near Real-Time NDVI Data. Updated Daily. Global. 10m Resolution.
ID: 1670798978156306432
https://www.streambatch.io/ 19-06-2023 14:21:49
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[OPEN-SOURCE TUTORIAL] Learn how to access NDVI time-series from European Space Agency Sentinel-2 imagery hosted on #AWS (and other cloud providers), using SpatioTemporal Asset Catalog and #Python! #geospatial #satellite #agriculture #esa #nasa #DataScience #opensource #OpenData streambatch.io/knowledge/ndvi…
Although #NDVI is the most widely used vegetation index in industry, the Enhanced Vegetation Index (#EVI) is better for almost any use case. In our final article on index fundamentals, we explain why. #agriculture #remotesensing #satellite NASA ESA Earth Observation streambatch.io/knowledge/evi-…
Why do customers love Streambatch.io's near-real time NDVI data? Simple. They get more data to understand what's happening *right now*. Check out this heatmap showing NDVI observations from 2017-present. Learn more: streambatch.io #geospatial #data #agriculture
For #TutorialTuesday, learn how to write a Python program to generate a time series of NDVI from Sentinel-2 satellite imagery using SpatioTemporal Asset Catalog. The imagery is stored in Cloud Optimized GeoTIFF (a.k.a COG) format & available on Amazon Web Services, Microsoft Azure, Google Cloud & Copernicus EU 🔗streambatch.io/knowledge/ndvi…
[Python Tutorial] How to use European Space Agency WorldCereal to get global farm locations We show how to use #Python to unlock this data for time-series and other #ML/stats applications. Data available for download in GeoParquet streambatch.io/knowledge/esa-…