Clarklabs (c) IDRIS Taiga v16.0.5.0

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WinApp | Clarklabs (c) IDRIS Taiga v16.0.5.0 | 481 Mb

IDRISI Taiga, an integrated GIS and Image Processing software solution, provides nearly 300 modules for the analysis and display of digital spatial information. The Land Change Modeler is revolutionary land cover change analysis and prediction software with tools to analyze, measure and project the impacts of such change on habitat and biodiversity.

IDRISI Taiga Key Features

The IDRISI Taiga GIS and Image Processing software for the desktop 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.

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 making and land suitability analysis and evaluation.

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 efficient 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.
Principal Components Analysis.
Innovative "soft" classifier support.
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, also known as a decision tree.

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.
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, 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.

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