SpaceSense Library

SpaceSense is a library which facilitates downloading, processing, and fusing of satellite and other sources of geospatial data. In this documentation, you can find guides on installation and usage, as well as examples.

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SpaceSense

• Overview
  • What is the SpaceSense python library?
  • Why we built the SpaceSense library?
  • How does the SpaceSense library work?
• Getting Started
  • Installation
    • Pre-requisites
    • Installing with Venv
    • Fix gdal dependencies
    • Fix netCDF dependencies
    • Installing with Anaconda
  • Authentication
  • Initial Example
    • 0 - Install Spacesense Client Library and dependencies
    • 1 - Import spacesense object(s) and other dependencies
    • 2 - Configure the API Key by setting the SS_API_KEY environment variable
    • 3 - Define the area of interest (AOI), time of interest (TOI), output options
    • 4 - Search S2
    • Select just one S2 result
    • 5 - Select only certain bands of S2
    • 6 - Obtain S2 image (Fuse)
    • 7 - Visualize
  • Library Structure
• Examples
  • SpaceSense Basics - Sentinel-1 and Sentinel-2 Search
    • Search S1 and S2
  • SpaceSense Basics - Sentinel-1 and Sentinel-2 Search and Filter
    • Search and filter S1 and S2 data
  • SpaceSense Basics - Weather Data Access in Search
    • Weather Data Access in Search
  • SpaceSense Basics - Fuse S1, S2, weather, and custom files
    • Search and fuse S1, S2 and weather data with custom raster or vector
  • Use Case - Time series of vegetation indices
    • Time series of vegetation indices
  • Use Case - Monthly optical images
    • Monthly optical images
  • Use Case - Create custom water or vegetation index
    • Create custom water or vegetation index
  • Use Case - Time series of custom index and masking
    • Time series of custom index and masking
• Python API Documentation
  • 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
• Geospatial Fundamentals
  • Synthetic Apature Radar (SAR) Basics
    • What is Synthetic Apature Radar?
    • Sentinel-1 SAR in SpaceSense’s library
    • SpaceSense SAR Processing Pipeline
  • Optical Basics
    • What is Optical Remote Sensing?
    • Example: Vegetation Indices
    • Sentinel-2 Optial imagery in SpaceSense’s Library
  • External Resources
• Changelog
  • 0.7.0
  • 0.6.0
  • 0.5.0
  • 0.4.1
  • 0.4.0

Index

• Index