TerrSet is an integrated geospatial software system for monitoring and modeling the earth system for sustainable development. The TerrSet system incorporates the IDRISI GIS Analysis and IDRISI Image Processing tools along with a constellation of vertical applications. TerrSet offers the most extensive set of geospatial tools in the industry in a single, affordable package. There is no need to buy costly add-ons to extend your research capabilities.
TerrSet Software Features
IDRISI GIS Analysis
The IDRISI GIS tool set offers over 300 analytical tools, primarily oriented to raster data, for the manipulation of geospatial datasets for the exploration of our rapidly changing world.
IDRISI Image Processing
The IDRISI Image Processing System in TerrSet is an extensive set of procedures for image restoration, enhancement, transformation and classification of remotely sensed imagery.
Land Change Modeler
Land Change Modeler (LCM) is an innovative land planning and decision support software tool for land change analysis and prediction with a special facility for REDD project-level modeling.
Habitat and Biodiversity Modeler
The Habitat and Biodiversity Modeler (HBM) is a vertical application intended for habitat assessment, landscape pattern analysis and biodiversity modeling.
GeOSIRIS
GeOSIRIS is a tool that quantifies and maps the impacts of national-level REDD projects on deforestation, carbon emissions, agricultural revenue, and carbon payments.
Ecosystem Services Modeler
The Ecosystem Services Modeler (ESM) is a spatial decision support system for assessing the value of natural capital for sustainable development.
Earth Trends Modeler
The Earth Trends Modeler (ETM) is an integrated suite of tools for the analysis of image time series data associated with Earth Observation remotely sensed imagery.
Climate Change Adaptation Modeler
The Climate Change Adaptation Modeler (CCAM) is suite of tools for modeling future climate and assessing its impacts on sea level rise, crop suitability and species distributions.
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The Ecosystem Services Modeler (ESM) is closely based on the InVEST tools developed by the Natural Capital Project. Fifteen ecosystem service models have been implemented. In this illustration, ESM is used to evaluate water yield and water scarcity in the year 2100 for the state of Massachusetts. The predicted land cover input was generated by Land Change Modeler in TerrSet and the predicted precipitation was generated by the Climate Change Adaptation Modeler in TerrSet. The outputs from water yield are used to calculate hydropower potential at the subwatershed level in the year 2100. -
The SEGMENTATION module creates an image of segments that have spectral similarity across many input bands. This example shows two levels of segmentation from panmerged Quickbird imagery. The image on the left uses a larger similarity threshold than the one on the right, resulting in more generalized, less homogeneous segments. Altering this threshold allows for the segmentation of objects, such as forest stands, tree crowns or buildings.
The Full TerrSet Constellation Includes:
- The GIS Analysis System: a wide range of fundamental analytical tools for GIS analysis, primarily oriented to raster data. Special features of the GIS Analysis tool set include a suite of multi-criteria and multi-objective decision procedures and a broad range of tools for statistical, change and surface analysis. Special graphical modeling environments are also provided for dynamic modeling and decision support. The GIS Analysis tool set also provides a scripting environment and an extremely flexible application programming interface (API) that allows the ability to control TerrSet using languages such as C++, Delphi and Python. Indeed, all TerrSet components make very extensive use of the API.
- The Image Processing System: an extensive set of procedures for the restoration, enhancement, transformation and classification of remotely sensed images. The Image Processing system in Terrset contains the broadest set of classification procedures in the industry, including both hard and soft classification procedures based on machine learning (such as neural networks) and statistical characterization.
- The Land Change Modeler (LCM): a vertical application for analyzing land cover change, empirically modeling its relationship to explanatory variables and projecting future changes. LCM also includes special tools for the assessment of REDD (Reducing Emissions from Deforestation and forest Degradation) climate change mitigation strategies.
- The Habitat and Biodiversity Modeler (HBM): a vertical application for habitat assessment, landscape pattern analysis and biodiversity modeling. HBM also contains special tools for species distribution modeling.
- GeOSIRIS: a unique tool for national level REDD planning, developed in close cooperation with Conservation International. With GeOSIRIS, one can model the impact of various economic strategies on deforestation and carbon emissions reductions.
- The Ecosystem Services Modeler (ESM): a vertical application for assessing the value of various ecosystem services such as water purification, crop pollination, and wind and wave energy. ESM is based closely on the InVEST toolset developed by the Natural Capital Project.
- The Earth Trends Modeler (ETM): a tool for the analysis of time series of earth observation imagery. With ETM, one can discover trends and recurrent patterns in fundamental earth system variables such as sea surface temperature, atmospheric temperature, precipitation, and vegetation productivity. ETM is an exceptional tool for the assessment of climate change in the recent past (e.g., the past 30 years).
- The Climate Change Adaptation Modeler (CCAM): a tool for modeling future climate and assessing its impacts on sea level rise, crop suitability and species distributions.
TerrSet also includes utilities for import and export of all major file and imagery formats along with comprehensive documentation and tutorials with data.
TerrSet System Requirements
TerrSet is an object-oriented system designed for professional-level use on platforms employing the Microsoft Windows operating environment.
- Windows 7 and above, or Windows Server 2003 or later
- Microsoft ACE 2010 or Microsoft Office 2010 or later
- 1.3 GB hard drive space for application
- 7.4 GB hard drive space for tutorial data
- 4 GB RAM, 8 GB or greater recommended
- HD display (1920×1080) or greater recommended