Content area

Abstract

This paper discusses the development of PyGeoRS, a Python-based QGIS plugin designed to automate remote sensing tasks for environmental mapping using Landsat 8 and 9 data. PyGeoRS simplifies complex processes using data from Landsat 8 and 9 satellites, facilitating tasks such as Principal and Independent Component Analysis, band ratios, indices calculation, false-color image generation, and Optimum Index Factor calculation. A key advantage of PyGeoRS is its ability to significantly enhance processing speed, offering a 40–60% improvement compared to other remote sensing software, which optimizes workflow efficiency. Additionally, as an open-access tool, PyGeoRS broadens the availability of advanced remote sensing capabilities to users with varying levels of access to technology. While this version supports only Landsat data, future expansions are planned to include additional sensors, further extending PyGeoRS’s applicability in remote sensing and mapping tasks.

Details

Business indexing term
Title
PyGeoRS: a QGIS plugin for automating landsat data processing in environmental mapping
Publication title
Volume
18
Issue
1
Pages
58
Publication year
2025
Publication date
Jan 2025
Publisher
Springer Nature B.V.
Place of publication
Dordrecht
Country of publication
Netherlands
Publication subject
ISSN
18650473
e-ISSN
18650481
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2024-12-16
Milestone dates
2024-11-26 (Registration); 2024-06-21 (Received); 2024-11-14 (Accepted)
Publication history
 
 
   First posting date
16 Dec 2024
ProQuest document ID
3145281329
Document URL
https://www.proquest.com/scholarly-journals/pygeors-qgis-plugin-automating-landsat-data/docview/3145281329/se-2?accountid=208611
Copyright
Copyright Springer Nature B.V. Jan 2025
Last updated
2025-05-29
Database
ProQuest One Academic