IDRISI Selva Key Features

The IDRISI Selva GIS and Image Processing software provides a host of utilities and procedures to optimize, analyze and visualize your raster data and imagery. Extensive conversion tools allow for easy import and export with many of the most popular software and government formats.

Learn more about IDRISI Selva

IDRISI Selva Brochure
Image Processing in IDRISI
IDRISI Selva Technical Specifications
Land Change Modeler
Earth Trends Modeler

GIS Analysis

IDRISI includes a range of tools for the analysis and manipulation of spatial data. With IDRISI, you can query and explore your raster data, derive new data layers, evaluate and measure spatial relationships, and identify patterns and trends. 

  • Database query and overlay analysis.
  • Derivative mapping with mathematical and relational modeling.
  • Distance and context operations to analyze interactions over space.
  • Standard and advanced spatial statistics.
  • Surface analysis tools including interpolation and hydrological modeling routines.
  • Change and time series procedures to measure change at local and global scales.
  • Exclusive tools for multi-criteria and multi-objective decision support and land suitability analysis.

Image Processing

IDRISI provides a complete suite of image processing tools, including the widest range of classification techniques in the industry, for both multispectral and hyperspectral remotely sensed imagery. All major imagery formats are accommodated.

  • Preprocessing tools for noise and distortion removal, data transformation and full georeferencing.
  • Visual and data enhancement tools, including digital filters, color compositing, pansharpening and others.
  • Unsupervised and supervised classification techniques including innovative "soft" classifier support.
  • Transformation tools including Principal Components Analysis and Canonical Components Analysis.
  • Segment-based classification whereby pixels are grouped into segments based on homogenous spectral similarity. Learn More.
  • Machine learning classifiers including a host of neural networks and a classification tree procedure. Learn More.

Modeling

IDRISI provides several environments for users to develop their own models. The software also includes specific modeling applications for land change analysis and image time series analysis.

  • Earth Trends Modeler, a modeling application for analyzing trends and anomalies in image time series with particular relevance for climate change and ecosystem dynamics. Learn more.
  • Land Change Modeler, a modeling application with tools to quickly assess land change, predict future scenarios and assess the impacts of these predictions on biodiversity. Land Change Modeler is widely used for REDD projects. Learn more.
  • Macro Modeler, a graphical modeling environment for building and executing multi-step models. 
  • Integration for user-created scripts and procedures via a COM object model interface.
  • An Image Calculator for the construction of algebraic and logical formulas on map layers.

 

 
Earth Trends Modeler Explore

Earth Trends Modeler provides an integrated environment for the analysis of time series data. Here an analysis of trends in sea surface temperature from 1982 to 2006 shows a strong increasing trend of temperature in the Atlantic and its relation to the Atlantic Multidecadal Oscillation (AMO). The triangular wavelet analysis diagram shows the nature and scale of these trends in the Labrador Sea. The animated globe shows variations in ocean height which are closely related with temperature variations.
 

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Earth-Trends-Modeler-Land-Surface-Analysis

In Earth Trends Modeler, an analysis of trends in MODIS land surface temperature in degrees Celsius from 2000-2006. The map shows warming zones in North America, Eurasia, and Australia. Large cooling zones are depicted in Southern Europe and throughout Asia.

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