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Munir Ahmad Profile picture
@MunirSpatial
Mar 13, 2023 • 7 tweets • 8 min read • Read on X
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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

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More from @MunirSpatial

Munir Ahmad Profile picture
Mar 22, 2023
Do you want to learn how to create Voronoi polygons in @qgis ? You have a dataset of cellular towers locations in a city, and you want to create Voronoi polygons to visualize the coverage areas of each tower.Follow this step-by-step guide. #gischat
1- Prepare your data:

Import your cellular towers locations dataset as a point layer in QGIS.

Make sure your point layer has a unique identifier for each tower.
2-Create Voronoi polygons:

Go to "Vector" > "Geometry Tools" > "Voronoi Polygons".

Select your point layer as the "Input layer".

Choose an appropriate name and location for your output Voronoi polygon layer.

Click "Run" to generate the Voronoi polygons.
Read 7 tweets
Munir Ahmad Profile picture
Mar 22, 2023
Compressed image formats are a great way to reduce file size without sacrificing image quality. There are several compressed image formats that are commonly used in GIS (Geographic Information System) applications. #gischat #geospatial #gis
ECW (Enhanced Compression Wavelet) is a proprietary compressed image format developed by ERDAS. It's commonly used for compressing large raster images, such as satellite imagery and aerial photography. ECW files can be handled by software ArcGIS, Global Mapper, and ERDAS Imagine.
MrSID (Multiresolution Seamless Image Database): LizardTech's proprietary format that is similar to ECW. It's commonly used for compressing large raster images and can be handled by software such as ArcGIS and Global Mapper.
Read 10 tweets
Munir Ahmad Profile picture
Mar 21, 2023
Here is a more comprehensive list of plugins for land use and land cover (LULC) analysis in QGIS. The selection of plugins depends on the specific research question and the type of data available. #gischat #geospatial #GIS #LULCanalysis #QGIS
Semi-Automatic Classification Plugin (SCP): This plugin provides a user-friendly interface for supervised and unsupervised classification of remote sensing images. It includes a wide range of classification algorithms.#gischat #geospatial #GIS #LULCanalysis #QGIS Image
Land Cover Classification System (LCCS): This plugin allows users to classify land cover based on a standardized classification system developed by the FAO. It includes a set of rules and guidelines for classifying land cover.#gischat #geospatial #GIS #LULCanalysis #QGIS Image
Read 10 tweets
Munir Ahmad Profile picture
Mar 11, 2023
Machine Learning (ML) algorithms have revolutionized spatial analysis, providing new insights into geographic data. Here's a list of popular ML algorithms used in #geospatial #DataScience
#DataScience #MachineLearning #SpatialAnalysis #gischat
K-means clustering is a popular unsupervised ML algorithm used for clustering and segmentation of spatial data. It's used to identify spatial patterns, group similar geographic features, and create thematic maps.
Random Forests is a supervised ML algorithm used for classification and regression tasks in Geospatial Data Science. It's used to predict land use, soil properties, and other geographic variables.
Read 7 tweets

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