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.
JPEG 2000: An image compression standard that uses wavelet technology to achieve higher compression ratios with less loss of image quality than JPEG. Software such as Adobe Photoshop and GIMP can handle JPEG 2000 files.
BPG (Better Portable Graphics): A relatively new image format that uses HEVC (High-Efficiency Video Coding) to compress images with better quality than JPEG at smaller file sizes. BPG files can be handled by software such as XnView and GIMP.
FLIF (Free Lossless Image Format): A lossless image format that uses a combination of advanced compression techniques to achieve very high compression ratios. Software such as ImageMagick and XnView can handle FLIF files.
JNG (JPEG Network Graphics): A format similar to PNG that allows for lossy or lossless compression, as well as embedded alpha channels for transparency. Software such as Adobe Photoshop and GIMP can handle JNG files.
JP2 (JPEG 2000 Part 2): An extension of the JPEG 2000 format that adds support for advanced features such as 3D imaging and advanced color spaces. Software such as Adobe Photoshop and GIMP can handle JP2 files.
WDP (Windows Media Photo): A format developed by Microsoft that uses wavelet compression to achieve high compression ratios with minimal loss of quality. WDP files can be handled by software such as Windows Photo Viewer and Adobe Photoshop.
WebP: A newer image format developed by Google that uses both lossless and lossy compression to achieve smaller file sizes than JPEG and PNG, while maintaining good image quality. Software such as Adobe Photoshop, GIMP, and XnView can handle WebP files.
• • •
Missing some Tweet in this thread? You can try to
force a refresh
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.
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
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
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/…
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.