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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

Getting Started

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

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