Why You Should Try PCI GEOMATICA 10 Rise for Your Geospatial Data Processing Needs
PCI GEOMATICA 10 Rise: A Complete Geospatial Software Solution
If you are looking for a comprehensive software solution that can handle all your geospatial data processing needs, you should check out PCI GEOMATICA 10 Rise. This software offers a unique integration of remote sensing, GIS, photogrammetry, cartography, web and development tools in a single environment. No other geomatics software solution has the built-in capabilities to support your organization's geospatial data processing needs and increase productivity like PCI GEOMATICA 10 Rise.
PCI GEOMATICA 10 Rise setup free
In this article, we will show you how you can download and install PCI GEOMATICA 10 Rise for free, and how you can use it for various geospatial data processing tasks. Whether you are a student, a researcher, a professional, or a hobbyist, you will find PCI GEOMATICA 10 Rise to be a powerful and user-friendly software that can help you achieve your geospatial goals.
PCI GEOMATICA 10 Rise is the latest version of the popular geomatics software developed by PCI Geomatics. It was released in December 2009 with several new features and improvements. Some of the highlights of PCI GEOMATICA 10 Rise are:
It supports over 100 spatial formats, including raster, vector, point cloud, lidar, hyperspectral, radar, thermal, multispectral, stereo, video, GPS, DEM, DTED, CAD, KML, XML, OGC, WMS, WFS, WCS, GML, HDF5, NetCDF4.
It has full raster and vector integration, meaning you can work with both types of data seamlessly in the same project.
It has advanced image processing capabilities, such as image enhancement, classification, change detection, orthorectification, mosaicking, pan-sharpening.
It has powerful spatial analysis tools, such as overlay analysis, geoprocessing operations, buffering, clipping, dissolving, intersecting, unioning, erasing, identity, symmetrical difference, How to Use PCI GEOMATICA 10 Rise for Geospatial Data Processing
PCI GEOMATICA 10 Rise is a versatile software that can handle various geospatial data processing tasks. In this section, we will show you how to use it for remote sensing, GIS, photogrammetry, cartography, and web and development tools.
Remote sensing is the process of acquiring information about the Earth's surface and atmosphere using sensors mounted on satellites or aircrafts. Remote sensing data can provide valuable insights into the natural and human-made phenomena that affect our planet, such as land cover, vegetation, water resources, climate change, disasters, urbanization, etc.
PCI GEOMATICA 10 Rise has a rich set of tools for remote sensing data processing. Here are some of the things you can do with it:
Import, display, and analyze satellite and aerial imagery: You can import images from various sources, such as Landsat, SPOT, QuickBird, IKONOS, WorldView, GeoEye, ASTER, MODIS, AVHRR, RADARSAT, ENVISAT, ERS, COSMO-SkyMed, TerraSAR-X, etc. You can also import images from digital cameras or scanners. You can display images in different bands, color combinations, projections, and resolutions. You can also perform image analysis using histograms, statistics, profiles, scatter plots, etc.
Perform image enhancement: You can improve the visual quality of images using various techniques, such as contrast stretching, histogram equalization, filtering, smoothing, sharpening, edge detection, etc.
Perform image classification: You can classify images into different categories based on their spectral or spatial characteristics. You can use supervised or unsupervised methods, such as maximum likelihood, k-means, isodata, minimum distance, parallelepiped, spectral angle mapper, spectral information divergence, Mahalanobis distance, etc. You can also use object-based or neural network methods for more complex classifications.
Perform change detection: You can compare images from different dates or sources to detect changes in land cover or land use. You can use various methods for change detection, such as image differencing, image ratioing, image regression, principal component analysis, canonical correlation analysis, etc. You can also use post-classification comparison or object-based methods for more accurate results.
Create orthoimages: You can correct images for geometric distortions caused by sensor orientation, terrain relief, earth curvature, etc. You can use various methods for orthorectification, such as polynomial transformation, rigorous sensor models, rational polynomial coefficients, etc. You can also use ground control points or tie points to improve the accuracy of orthorectification.
Create mosaics: You can combine multiple images into a single seamless image. You can use various methods for mosaicking, such as feathering, blending, dodging, color balancing, etc. You can also use seamline editing or automatic seamline generation to improve the quality of mosaics.