Instruments for fire and catastrophes diagnostics
Prototype of Hyper Spectral-Infrared Instrument for Fire, Natural and Technogeneous Catastrophes Diagnostics
Tech Area / Field
- ENV-MIN/Monitoring and Instrumentation/Environment
3 Approved without Funding
Keldysh Institute of Applied Mathematics, Russia, Moscow
- Russian Academy of Sciences / Space Research Institute, Russia, Moscow
- Deutsches Zentrum für Luft- und Raumfahrt e.V. / German Aerospace Center / Optical Information Systems, Germany, Berlin\nTechnische Universität Berlin / Institut fuer Luft- und Raumfahrt, Germany, Berlin\nJena Optronik GmbH, Germany, Jena\nFraunhofer Institut Rechnerarchitektur und Softwaretechnik, Germany, Berlin
Project summaryPurpose of the project. Development of the prototype of hyperspectral and infrared sensor for operational diagnostics of fire, natural and man-made disasters.
State of the art and the expected influence of this project on progress in this domain. At this time the infrared satellites for detection of fire, and diagnostics of natural and man-made diagnostics are being developed in the framework of European space programs. In particular, the spacecraft BIRD (Germany) is developed for disaster diagnostics.
Hyperspectral airborne and spaceborne devices such as Hyperion (satellite EO-1), «Quartz-4» etc. are developed in USA and in Russia. Information from these devices is valuable addition to the information about the environmental condition of territories under study.
Several scientific institutions of Russian Academy of Sciences (RAS) have proposed the complex use of the given both sensor types (infrared and hyperspectral). This will allow not only detect fire and other natural and man-made disasters but also to estimate their characteristics and model the environmental consequences. This approach will create a synergetic effect and a new information quality, inaccessible to each of these sensors separately. However scientific and technical complexities hinder the realization of this idea. Infrared sensors are wide-angle systems, and hyperspectrometers (HC) are narrow-angle systems. Their coordination in single optical path, under common capture control uniform management requires additional studies and should be tested on a prototype onboard hyperspectral and infrared equipment. The task of the project is the development of such a prototype as well as the software for processing of combined infrared and HC-data. The task includes experimental flights with the airborne sensor prototype in order to demonstrate the efficiency of proposed approach.
Competence of participants. The participants of this project are Russian academic institutions - leading organizations in the area of remote sensing of state characteristics of natural and man-made objects. These institutes also have considerable experiences in creation of unique prototypes of onboard hyperspectral and infrared devices and in data processing and model-based simulation of ecological processes, as well as of whole information flow of remote sensing data.
Expected results. The project belongs to the category of applied research. The prototype to be developed within the framework of the project will find use in systems of space-based Earth monitoring, in design of onboard RS equipment and in development of software for thematic data processing focused on fundamental science in the global and regional ecology, environmental monitoring and such industries as forestry, agriculture, fishery, water resource management etc. The Project meets the purposes of ISTC, encouraging integration of Russian scientists in the international scientific community, and supporting the development of peaceful technologies in the area of environmental protection.
Extent of work and the role of foreign collaborators. In the course of the project realization the activity of foreign collaborators will include: examination of the project, participation in planning, participating jointly with the Russian collaborators in meetings, seminars, conferences, and in scientific publications...
Technical approaches and methodology. They are based on modern technologies used in physics, optics, Earth remote sensing, and on the theory of statistical solutions, model-based simulation, and also on experimental research at test side.
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