Direct Cloud Stream: Microsoft Azure Planetary...
URL: https://github.com/microsoft/PlanetaryComputerExamples/blob/main/datasets/naip/naip-example.ipynb
This Jupyter Notebook is specifically optimized for the NAIP 0.6m/1m RGBIR collection. It demonstrates a "cloud-native" workflow, allowing participants to analyze imagery directly from cloud storage without downloading files. This is the fastest way to perform large-scale vegetation analysis across California using high-performance compute.Key Technical Workflows:STAC API Integration: Uses the SpatioTemporal Asset Catalog (STAC) to instantly locate NAIP tiles that intersect with your study area.Signed Access: Demonstrates how to "sign" Blob Storage URLs for immediate, secure data streaming into your Python environment.Spectral Analysis: Specifically shows how to access the Near-Infrared (NIR) band to calculate vegetation indices like NDVI directly in memory.Dask & XArray Integration: Examples of loading multi-year mosaics of California into a data cube for time-series analysis of shrub encroachment and fuel loads.This description was created with assistance from Gemini.
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Additional Information
| Field | Value |
|---|---|
| Data last updated | January 8, 2026 |
| Metadata last updated | January 8, 2026 |
| Created | January 8, 2026 |
| Format | application/x-ipynb+json |
| License | No License Provided |
| Codeaccessurl | https://github.com/microsoft/PlanetaryComputerExamples/blob/main/datasets/naip/naip-example.ipynb |
| Datastore active | False |
| Docsurl | https://planetarycomputer.microsoft.com/dataset/naip |
| Has views | False |
| Id | 87ef42f5-1904-4597-878d-d79f79f964d3 |
| Issuedate | 2010-01-01 |
| Lastupdatedate | 2026-01-07 |
| Mimetype | application/x-ipynb+json |
| Package id | 7f64e035-08ac-4e14-9f2d-c70a582a0b4b |
| Position | 2 |
| State | active |
| Status | active |
| Urltype | informational or access link |