Thread by @MunirSpatial

Remote sensing (RS) software tools can help you analyze and interpret satellite or airborne data. If you're on a tight budget, don't worry - there are plenty of great free options out there!#gischat #geospatial

#QGIS is a powerful and user-friendly open-source #GIS software that includes RS tools. You can use it to visualize, analyze, and process your RS data. It supports a wide range of file formats and has an active community.#gischat #geospatial
qgis.org/en/site/foruse…

Sentinel Application Platform is a free, multi-platform tool for processing and analyzing data from various RS sensors, including Sentinel-1, Sentinel-2, and Sentinel-3. It includes a user-friendly GUI and a powerful toolbox. @esa #gischat
step.esa.int/main/download/…

Google Earth Engine is a cloud-based platform for processing, analyzing, and visualizing #geospatial data. It provides access to petabytes of RS data and has a powerful scripting API that allows you to automate your workflows.#gischat
earthengine.google.com

PySAR is a #Python-based tool for analyzing and processing Synthetic Aperture Radar (SAR) data. It allows you to estimate ground deformation, detect changes in land cover, and monitor natural hazards such as earthquakes and landslides.#gischat #geospatial
github.com/hfattahi/PySAR

Orfeo ToolBox (OTB) is a free and open-source library of RS algorithms. It includes a range of image processing, feature extraction, and classification tools, and can be integrated into other software tools such as QGIS and #Python. #gischat #geospatial
orfeo-toolbox.org/download/

#R is a popular programming language among #RS researchers and practitioners. It has a wide range of RS packages, including raster, rgdal, and maptools, that allow you to process, analyze, and visualize #geospatial data. #gischat
r-project.org