IDRISI Selva

IDRISI Selva is a geospatial software package developed by Clark Labs at Clark University. It is used for analyzing and managing remote sensing data, GIS data, and other spatial data types. The software is designed for researchers, natural resource managers, and decision makers who need to analyze and interpret complex environmental data related to land use, climate change, and biodiversity conservation.

IDRISI Selva provides a user-friendly interface with numerous analytical tools that allow users to analyze and visualize data in various forms such as maps, charts, and tables. It supports a variety of spatial data formats and includes tools for data preprocessing, image processing, and spatial modeling. Users can create custom workflows using the drag-and-drop interface and automate geoprocessing tasks using scripts written in Python.

Some of the key features of IDRISI Selva include map creation, image enhancement and classification, terrain analysis, land cover modeling, time series analysis, and statistical modeling. It also includes advanced tools for spatial pattern analysis and 3D visualization. IDRISI Selva is regularly updated with new features and improvements based on user feedback.

• Notable features of the software package include:
• Support for numerous data formats including raster, vector, and point cloud data types.
• Tools for image enhancement such as contrast stretching, image segmentation, filtering.
• Geoprocessing tools for analysis and modeling such as spatial autocorrelation calculation, viewshed analysis.
• Support for running customized models through tools like the Model Builder or Python scripting.

IDRISI Selva is widely used in research institutions, government agencies, environmental consulting firms, and non-profit organizations around the world. The software has contributed significantly to the advancement of geospatial analysis and modeling in various scientific fields including ecology, conservation biology, and climate change research.