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Sharing GIS Technologies, Resources and News.

A Quick Tour of Public Companies in the GIS, Remote Sensing, and Surveying Industry

Peers in the GIS industry usually spend their days tracking technology releases and tenders. Every now and then, we hear news about a company going public. Has anyone else ever wondered, like I have, exactly which companies in our field are publicly listed? How big is the market‑cap gap between them? Are any of them worth a closer look? Today I’ve lined up some familiar names, grouped into platform software, remote sensing applications, surveying engineering, automotive & location intelligence, plus a few overseas heavyweights — hopefully a useful reference for anyone who needs it.

A note from the editor: The share prices come from public market data and media reports. The rough sizes are mostly calculated by multiplying the stock price by the total number of shares, with RMB figures converted at approximate exchange rates. Many of these companies straddle several sectors; I’ve only focused on the part that is closely tied to geospatial technology. This is purely industry information exchange and should not be taken as investment advice.

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pyroSAR: A Comprehensive Python Framework for Large-Scale SAR Satellite Data Processing

pyroSAR is an open-source Python framework designed for large-scale Synthetic Aperture Radar (SAR) satellite data processing. Its core objective is to provide a complete and scalable solution for SAR data organization, processing, and analysis, integrating data acquisition, metadata management, preprocessing, and interaction with mainstream processing software like ESA SNAP. This significantly simplifies complex SAR data processing workflows.

Official Website: https://github.com/johntruckenbrodt/pyroSAR/

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Comparative Analysis of Common Water Detection Indices in Remote Sensing

This article reviews prominent water detection indices - NDWI, MNDWI, NDMI, AWEI, and WRI - highlighting their distinct formulas, applications, and limitations in remote sensing analysis.

NDWI

Normalized Difference Water Index
Developed by McFeeters (1996) to identify open water bodies using spectral reflectance differences:

Formula:
NDWI = (NIR - Green) / (NIR + Green)

Principle:

  • High reflectance in Green band
  • Strong absorption in Near-Infrared (NIR) band
  • Maximizes contrast between water and vegetation/soil

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