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ease
features
design
support

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Description

GRASS GIS, which stands for Geographic Resources Analysis Support System, is a powerful, free, and open-source suite of Geographic Information System (GIS) tools designed for the management and analysis of geospatial data, including capabilities for image processing, map production, spatial modeling, and visualization. This versatile software accommodates various data types, such as raster and vector, facilitating sophisticated modeling and data handling, as well as imagery processing and time series analysis through its Python API, which is particularly well-suited for extensive analyses. Compatible with multiple operating systems like OS X, Windows, and Linux, GRASS GIS can be utilized via a graphical user interface or seamlessly integrated with other applications, including QGIS. The software features an extensive library of over 350 modules aimed at tasks such as rendering maps, manipulating raster and vector data, processing multispectral imagery, and effectively managing and storing spatial datasets. Widely adopted in both academic and commercial environments, it also serves the needs of governmental organizations, showcasing its versatility and reliability in various geospatial contexts. The continual enhancements and community support further solidify GRASS GIS as a crucial tool for professionals working in the field of geospatial analysis.

Description

TerrSet represents a comprehensive geospatial software suite designed to facilitate the monitoring and modeling of Earth's systems to promote sustainable development. This system combines the powerful IDRISI GIS Analysis and IDRISI Image Processing tools, supplemented by a range of specialized applications tailored for various needs. Offering an unparalleled array of geospatial tools within a single, cost-effective package, TerrSet eliminates the necessity for expensive add-ons to enhance your research potential. In addition to the previously mentioned software functionalities, TerrSet provides utilities for importing and exporting all major file formats and imagery, along with extensive documentation and user tutorials to assist users. The IDRISI Image Processing System embedded within TerrSet features a broad spectrum of techniques for the restoration, enhancement, transformation, and classification of remotely sensed images. This integration makes TerrSet not only versatile but also essential for effective environmental analysis and management.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Docker Yes 
Python Yes 

Integrations

Docker No 
Python No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

GRASS

Founded

1998

Country

United States

Website

grass.osgeo.org

Vendor Details

Company Name

Clark Labs

Website

clarklabs.org

Product Features

GIS

3D Imagery No 
Census Data Integration No 
Color Coding No 
Geocoding No 
Image Exporting No 
Image Management No 
Internet Mapping No 
Interoperability No 
Labeling No 
Map Creation No 
Map Sharing No 
Near-Matching No 
Reverse Geocoding No 
Spatial Analysis No 

Product Features

GIS

3D Imagery No 
Census Data Integration No 
Color Coding Yes 
Geocoding Yes 
Image Exporting Yes 
Image Management Yes 
Internet Mapping Yes 
Interoperability No 
Labeling No 
Map Creation Yes 
Map Sharing Yes 
Near-Matching No 
Reverse Geocoding No 
Spatial Analysis Yes 

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