The SENSUM Tools

SENSUM provides a range of free and open-source tools for remote sensing image processing, in-situ data capturing and analysis and spatio-temporal data management. All the software tools can be accessed from the SENSUM github repository. Please note that the tools are still under development and stable releases are expected to be provided at the end of the project.

GFZ-MOMA GFZ-MOMA

The GFZ-MOMA is the mobile mapping system for in-situ data capturing. It is composed of an omnidirectional camera, a data-capturing and -storage unit, a navigation unit and a mounting system for easy installation on any car.

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Sampling Tool Sampling Tool

The Sampling Tool is a software tool that supports planing and optimizing in-situ data capturing activity according to the needs and constraints of each specific application.

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Remote Sensing Tool Remote Sensing Tool

The Remote Sensing Tool provides an extensive set of algorithms for multi-spectral satellite image processing and analysis with a focus on vulnerability indicator extraction. The tool is available as QGIS plugin and as Python package.

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Spatio-temporal database model Spatio-temporal database model

The Spatio-temporal database model provides a comprehensive conceptual and technological framework, which is able to deal with multi-dimensional data coming from different sources, at varying scales and changing over time. The spatio-temporal database model is developed on the basis of the free and open-source, unix-based and object-relational database management system PostgreSQL.

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Remote Rapid Visual Screening Remote Rapid Visual Screening

The Remote Rapid Visual Screening (RRVS) tool and procedure is designed for the fast and user-friendly visualization and analysis of in-situ image data in an offline GIS environment. The RRVS tool and procedure are complementary to the GFZ-MOMA.

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Focus Map Focus Map

The Focus Map Tool allows to combine heterogeneous spatial datasets and to derive a heat map depicting the importance of areas to be sampled by for example in-situ imaging.

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Recovery Monitoring Recovery Monitoring

The Recovery Monitoring Tools provide a selection of algorithms for multi-spectral satellite image analysis with a focus on recovery indicator extraction. The tool will be soon available as QGIS plugin and as Python package.

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Information lifecycle management and integration Information lifecycle management and integration

A comprehensive information lifecycle management and integration solution is provided that deals specifically with geospatial information. Fig. 1 shows a schema of an information lifecycle as followed within SENSUM and implemented at database level in PostgreSQL.

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