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SpaceSense

  • Overview
  • Getting Started
    • Installation
    • Authentication
    • Initial Example
    • Library Structure
  • Examples
    • Search S1 and S2
    • Search and filter S1 and S2 data
    • Weather Data Access in Search
    • Search and fuse S1, S2 and weather data with custom raster or vector
    • Time series of vegetation indices
    • Monthly optical images
    • Create custom water or vegetation index
    • Time series of custom index and masking
  • Python API Documentation
    • Client/Fusion
    • Fusion Result
    • Search Results
    • File Loaders
    • Job
    • Utilities
  • Geospatial Fundamentals
    • Synthetic Apature Radar (SAR) Basics
    • Optical Basics
    • External Resources
  • Changelog
Theme by the Executable Book Project
  • .rst

Python API Documentation

Python API Documentation#

The SpaceSense library is divided into categories as follows:

  • Client/Fusion
  • Fusion Result
  • Search Results
    • Sentinel-1 Search Result
    • Sentinel-2 Search Result
    • ERA5 Weather Search Results
  • File Loaders
    • Raster
    • Vector
  • Job
    • Example
  • Utilities

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Time series of custom index and masking

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Client/Fusion

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