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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
.rst
.pdf
Python API Documentation
Python API Documentation
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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