Software Products for Geospatial Analysis

TerrSet Geospatial Monitoring and Modeling Software

TerrSet is an integrated geospatial software for monitoring and modeling the earth system. The TerrSet software incorporates the IDRISI GIS Analysis and IDRISI Image Processing tools along with a constellation of modeling environments to analyze land change, image time series, ecosystem services, habitat and biodiversity, climate impacts, and REDD.

TerrSet Brochure

Land Change Modeler for ArcGIS Extension

The Land Change Modeler for ArcGIS extension is a revolutionary land cover change analysis and prediction software with tools to analyze, measure and project the impacts of land change on habitat and biodiversity. Land Change Modeler exists in TerrSet and also as an extension to ArcGIS.

Land Change Modeler for ArcGIS Brochure

TerrSet and Land Change Modeler for ArcGIS operate on Microsoft Windows operating systems and come with extensive tutorials and data.

Additional Products

Clark Labs offers additional products including data, a remote sensing guide book, and incident support, to enhance your user experience.

  • Risk Mapping

    The foundation for TerrSet is the IDRISI GIS suite of analytical tools. This figure illustrates some of the many GIS analysis tools provided. These include a risk mapping based on a multi-criteria evaluation, a modeling of surface runoff incorporating information on precipitation and soil infiltration and the use of the the Image Calculator for basic map algebra tasks. The bottom right shows a view of the FlyThrough interactive 3-D flight viewer.

  • Land Change Modeler for ArcGIS Extension

    The Land Change Modeler for ArcGIS Extension is an innovative land planning and decision support software tool that is critical for smart development, biodiversity conservation and the management of climate mitigation strategies such as REDD (Reducing Emissions from Deforestation and forest Degradation). The Land Change Modeler for ArcGIS extension analyzes historical land cover data to assess, model and predict land cover change using powerful machine learning procedures.