Munir Ahmad Profile picture
Mar 21 10 tweets 13 min read
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
LecoS: This plugin provides tools for landscape ecology analysis, including habitat fragmentation analysis, landscape metrics, and connectivity analysis. It can be used to assess the impact of land use change on the landscape.#gischat #geospatial #GIS #LULCanalysis #QGIS Image
Zonal Statistics: This plugin allows users to calculate statistics (such as mean, minimum, and maximum) for a set of raster cells within predefined zones. It can be used to analyze the distribution of land cover classes . #gischat #geospatial #GIS #LULCanalysis #QGIS Image
Point Sampling Tool - a plugin that allows for the sampling of raster values at specified point locations, which can be useful for analyzing land cover in relation to point data (such as vegetation plots or water quality sampling sites).#gischat #geospatial #GIS #LULCanalysis Image
Earth Engine Plugin: This plugin enables users to access and analyze large-scale geospatial data on Google Earth Engine platform.#gischat #geospatial #GIS #LULCanalysis Image
QuickMapServices Plugin: This plugin provides a wide range of basemaps that can be used for visualizing land use and land cover information. #gischat #geospatial #GIS #LULCanalysis Image
Profile tool plots profile lines from raster layers or point vector layer with elevation field. Supports multiple lines as well as graph export to svg, pdf, png or csv file. Supports 3D polyline export to dxf.#gischat #geospatial #GIS #LULCanalysis Image
Density Analysis plugin automates the creation of density heatmaps with a heatmap explorer to examine the areas of greatest concentrations. It includes H3, geohash, and polygon density map algorithms.#gischat #geospatial #GIS #LULCanalysis Image

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More from @MunirSpatial

Mar 22
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
Mar 22
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
Mar 13
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/…
Read 7 tweets
Mar 11
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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