Clark Labs - Meeting the Challenges of Environmental Decision Making with GIS
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Product Features

Complete GIS and Image Processing in One Package: unleash the power of over 250 GIS and Image Processing modules to tackle your every environmental need for analysis.

  • Land Change Modeling: quickly assess land change, predict future scenarios and assess the impacts of these predictions in this unique modeling environment
  • Time Series Analysis: compare pairs of images or analyze trends and anomalies in multiple images
  • Image Processing: complete restoration, transformation and supervised and unsupervised classification support for multispectral and hyperspectral imaging
  • Hard and Soft Classifier Support: traditional classifiers such as maximum likelihood and K-means as well as Bayesian and linear spectral unmixing soft classifier support
  • Neural Network Analysis: the most extensive support for neural networks including multi-layer perceptron, SOM, and fuzzy art map classifiers
  • Decision Support: the industry leader in tools for multi-criteria evaluation and multi-objective land allocation modeling
  • 3-D Fly Through: simple, interactive feature that allows you to simulate movement by controlling altitude, orientation, and movement
  • Surface Analysis: the most extensive tool set for raster GIS analysis including interpolation and hydrological modeling
  • Spatial Statistics: multiple and logistical regression, geostatistics, and much more
  • Graphical Modeling: build and execute multi-step models graphically
  • Image Calculator: interactive expression building facility for image manipulation including mathematical and logical expressions
  • Extensive Conversion Tools: easily import or export with many of the most popular software and government formats
  • COM Compliant: develop your own scripting from such programming environments as Visual Basic or Python to manipulate IDRISI
 
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LCM provides the capability for both hard and soft projection of change into the future. Both modes accommodate the recalculation of dynamic variables and dynamic road growth. Hard prediction models a single realization while soft prediction maps the spatial pattern and potential for change. lcm_prediction

 

 
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IDRISI supports a variety of image restoration and transformation tools. In this image, the module ATMOSC is used for atmospheric correction. atmosc

 

 
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IDRISI allows on-screen digitizing of training sites and the development and analysis of signatures including signature comparison, measures of separability, and scattergrams. Signature

 

 
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IDRISI has tools for the validation of classified maps to reality including cross tabulation and error matrix analysis. kili_validate

 

 
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IDRISI automates Change Vector Analysis. Given two bands from two different dates, images of change magnitude and change direction are produced. The magnitude image may be thresholded to isolate areas of change versus areas of normal variation while the change direction image may be used to identify the types of change that have occurred (e.g., harvest vs. growth). cva

 

 
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Image differencing is a common technique for change analysis. IDRISI includes output options for a simple difference image, a percentage difference image, a standardized (z-score) difference image, or a standardized class image (6 categories of z-scores). imagediff

 

 
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The IDRISI Macro Modeler provides a graphic environment for the construction of models. Facilities are included for batch processing of multiple images through the same model and for iterative processing with the output of one iteration becoming an input to the next. growth

 

 

Visit the Modules page for a full list of capabilities included in IDRISI.

 

 

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