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 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.
OverviewClark Labs offers a variety of products to facilitate the analysis of geospatial information. IDRISI Selva, version 17 of IDRISI, is an integrated raster-based GIS and Image Processing software solution providing nearly 300 modules for the analysis and display of digital spatial information. Land Change Modeler for ArcGIS is a revolutionary land cover change analysis and prediction software with tools to analyze, measure and project the impacts of such change on habitat and biodiversity. Land Change Modeler exists in IDRISI and also as an extension to ArcGIS. Other resources to facilitate your analysis include:
Technical Support contracts are also available, allowing users to access the Clark Labs’ technical staff. |
Applications
IDRISI Selva and Clark Labs' other software products are used for a wide range of applications by users in over 180 countries. Our users are land use planners, scientists, environmental managers and ecologists who need affordable, research-grade tools to manage complex environmental issues.
The IDRISI Selva GIS and Image Processing software lends itself to a broad application base given its rich and powerful toolset in a flexible and modular organization, not found in other software packages.
This section of the website highlights some of the main application areas in which the IDRISI software is used.
Visit the Bibliography page for a list of publications for further references on application and research areas, or view Videos on the use of IDRISI Selva.
National Science and Technology Center for Disaster Reduction Slopeland and Hydrology Division
National Central University Department of Civil Engineering
National Chung Hsing University Department of Horticulture
National Chung Hsing University Program of Landscape & Recreation
National Ilan University Department of Civil Engineering
National Pingtung University of Science and Technology Department of Soil and Water Conservation
National Cheng Kung University Department of Urban Planning
National Cheng Kung University DEPARTMENT OF URBAN PLANNING
National Dong-Hwa University Department of Natural Resources and Environmental Studies
National Taiwan University Department of Civil Engineering
National Taiwan University School of Forestry and Resource Conservation
National Formosa University
National Formosa University Department of Power Mechanical Engineering
TungHai University Department of Life Science
Aletheia University Department of tourism
Water Resources Planning Branch, Water Resources Agency, Ministry of Economic Affairs Geo-lechnical Engineering Division
University of Taipei Department of Computer & Information Science
Endemic species Research Institute, Council of Agriculture, Executive Yuan Division of Management
Taiwan Forestry Research Institute, Council of Agriculture, Executive Yuan Division of Forest Management
Taiwan Forestry Research Institute, Council of Agriculture, Executive Yuan Division of Watershed Management
Agricultural Chemicals Research Institute, Ministry of Agriculture
Agricultural Chemicals Research Institute, Ministry of Agriculture Pesticides Application Division