Science Service System
You are here : Home : Proposals_Summary

Summary of Proposal LAN2817

TitleMulti-frequency SAR time series analysis for tropical forest inventory
Investigator Raggam, Hannes - Joanneum Research Forschungsgesellschaft mbH, Institute for Information and Communication Technologies
Team Member
DI Dr. Gutjahr, Karlheinz - JOANNEUM RESEARCH Forschungsgesellschaft mbH, DIGITAL - Institute of Information and Communication Technologies
DI Dr. Hirschmugl, Manuela - JOANNEUM RESEARCH Forschungsgesellschaft mbH, DIGITAL - Institute of Information and Communication Technologies
DI Gallaun, Heinz - JOANNEUM RESEARCH Forschungsgesellschaft mbH, DIGITAL - Institute of Information and Communication Technologies
SummaryThe recent launches of the C-band Sentinel-1 SAR mission (April 3, 2014), the L-Band ALOS-2 PALSAR mission (May 24, 2014) together with the ongoing X-Band TerraSAR-X/ TanDEM-X SAR will provide multi-frequency SAR data enabling advanced methods for monitoring the Earth. Additionally, the higher observation frequency and improved spatial resolution of the new sensors increases the capabilities for setting up services for climate monitoring. The project aims at studying the capabilities of multi-frequency SAR data – comprising high-resolution L- and C-band as well as very high resolution X-band data – in the context of tropical forest monitoring. Sub-objectives are geometric and radiometric methodological developments needed for the synergistic use of SAR data from different sensors, and to study the frequency dependence of radar signal propagation in the volume scattering media forest, in order to support the inversion of multi-frequency SAR data sets. As basis for specific product developments, advanced data pre-processing and value-adding capabilities shall be at first jointly realized, which are capable to handle multi-frequency SAR time series efficiently and to generate registered data stacks with high-quality. In this respect, the methodological challenges in particular include co-registration of multi-frequency SAR data, signal propagation analysis, and synergy aspects of coherent and non-coherent data processing methods. A focus is further put onto performance improvement aspects, like integration of end-to-end pre-processing workflows or upgrades with respect to throughput times. Multi-core processing and GPU processing feasibility shall be assessed in this concern, which might particularly become relevant if operational forest monitoring services shall be run for entire countries or even continents based upon such multi-frequency SAR time series. Building upon appropriate pre-processing capabilities, methods shall be further developed, applied and validated in order to exploit the benefits of multi-frequency SAR data with respect to tropical forest inventory. Based upon methods to be developed for multi-frequency SAR time series analysis, products and information indicating forest degradation and deforestation will be retrieved and validated for a selected tropical test site in Kongo. Achievement of the project goals will further strengthen the leading role of Joanneum Research with respect to SAR data processing and SAR based applications. It is expected, that the developed methods can be well exploited in projects envisaged in the Horizon 2020 program or as contributions to future operational Copernicus services. As for funding of the proposed project, the activities will be embedded into a future research project, which is funded within the Austrian Space Applications Programme (ASAP), entitled “Multi-Frequency SAR Data Fusion in Support of Global Climate Monitoring”. The project proposal has been positively evaluated and the project is supposed to be kicked off in April 2015.

Back to list of proposals

© DLR 2004-2016