#PySTAC

PySTAC Tutorial-16 Published: Sentinel-2 Crop Moisture Stress Index (MSI) Calculation in Python #PySTAC #Sentinel2 #Python #MoistureStressIndex #CropWaterStress #RemoteSensing #PrecisionAgriculture

PySTAC Tutorial-11 Published: Sentinel-2 Crop Area Calculation using Otsu Algorithm in Python #PySTAC #Sentinel2 #Python #RemoteSensing #CropMapping #OtsuThresholding #PrecisionAgriculture

#PySTAC Tutorial-1 is Published: #Sentinel2 #NDVI Calculation using #Python

PySTAC Tutorial-14 Published: Sentinel-2 Crop Specific Segmentation using Felzenszwalb Method in Python #PySTAC #Sentinel2 #Python #CropSegmentation #Felzenszwalb #RemoteSensing #PrecisionAgriculture

PySTAC Tutorial-13 Published: Sentinel-2 Crop Segmentation using NDVI in Python #PySTAC #Sentinel2 #NDVI #Python #CropSegmentation #RemoteSensing #PrecisionAgriculture

PySTAC Tutorial-15 Published: Sentinel-2 Crop Moisture Index (NDMI) Calculation in Python #PySTAC #Sentinel2 #NDMI #Python #CropMoisture #RemoteSensing #PrecisionAgriculture

#PySTAC Tutorial-3 Published: #Sentinel2 Land Cover and #NDVI Analysis using #Python

PySTAC Tutorial-5 Published: Sentinel2 NDVI Coefficient of Variation using Python #PySTAC #Sentinel2 #NDVI #RemoteSensing #EarthObservation #GeospatialPython.

PySTAC Tutorial-10 Published: Sentinel-2 Enhanced Vegetation Index (EVI) in Python #PySTAC #Sentinel2 #EVI #Python #RemoteSensing

PySTAC Tutorial-12 Published: Sentinel-2 Crop Type Mapping using Crop Phenology and Time Series Analysis in Python #PySTAC #Sentinel2 #CropMapping #CropPhenology #TimeSeriesAnalysis #Python #RemoteSensing

#PySTAC Tutorial-4 Published: #Sentinel2 #NDVI Anomaly Detection using #Python

With the release of #Landsat Collection 2 in 2020, Landsat data became readily accessible from @AWSCloud. A series of tutorials are now available to guide users in accessing and using Landsat data directly from the cloud. Learn more here: #PySTAC

The kids are up and destroying my brain with non-stop singing and narration. So I am hiding for a few trying #pystac in python on my Android phone

(1/) Hey #RemoteSensing folks! I'm happy to announce the first release of #cubo, a lovely #Python package for easily creating EO mini cubes from #STAC 🛰️🧊😁 gh: docs: #Geospatial #GeoPython #DataViz #EOchat #GISchat

(2/) The cool thing about #cubo is that you just need to introduce a pair of coordinates, the edge size of the cube, and the start and end dates. Then you can select the #STAC collection you require (also the STAC endpoint) and the spatial resolution 🚀😉

(3/) Of course this would not have been possible without #stackstac, #pystac, @xarray_dev, @dask_dev, #rasterio, #pyproj, and a lot of amazing resources out there! Thanks a lot! 😁❤️ Check the GitHub repo here:

A great tutorial from @lossyrob about using #PySTAC in the real world. It's great this is also being recorded - think we'll be watching and re-watching this one when it's released

Visualizing #Maxar Open Data (e.g., Turkey #earthquake high-resolution imagery) on #AWS with #Leafmap. Readily avialable image footprints as GeoJSON and images as virtual COG mosaic 👇 GitHub: #geospatial #opensource #dataviz #cog #stac #titiler

Built upon #pystac #titiler #cogeomosaic. Credits to @Maxar for providing the open data. @_VincentS_ @opencholmes @stacindex @mike_jeffe @petegadomski @marcpfister

Been thinking about the #STAC scientific extension and DOIs in #pystac. Could we help the paper writing process? Data to papers. And what would the STAC representation of a pub look like?