Publications (12)0 Total impact
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Conference Proceeding: Information content of ERS SAR interferometric products for forest classification in SIBERIA: a case study over the Bolshemurtinskii forest enterprise
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ABSTRACT: Due to their all-weather and day and night capabilities, satellite based Synthetic Aperture Radar (SAR) systems may become an important and relatively cost-efficient source of up-to-date information about Siberian forests. It is the goal of the SIBERIA (SAR Imaging for Boreal Ecology and Radar Interferometry Applications) project to demonstrate the value of these data for Siberian foresters. SIBERIA uses the advantages of dual-frequency, interferometric, and multi-temporal SAR products from the ERS and JERS missions. For each scene of the SIBERLA project area, one ERS tandem pair from fall 1997, one ERS summer image from 1998, and additionally, one JERS image from 1998 are available. To explore the use of the derived SAR products in forest applications and to define a classification methodology a detailed forest inventory data base containing data from more than 36 testsites, with each having a size between 20,000 and 100,000 ha, has been collected. the information content of ERS SAR products (backscattering coefficient, coherence) is investigated over four testsites located in the Bolshemurtinskii forest enterprise. The enterprise is situated in the central part of the Krasnoyarsk Oblast. The forest inventory of these four sites was updated in 1998, so that a good correspondence between the radar and field data is givenGeoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International; 02/2000 -
Conference Proceeding: The use of coherence information from ERS tandem pairs for determining forest stock volume in SIBERIA
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ABSTRACT: SAR Interferometry yields coherence maps that have been found useful for forest classification. In this paper the possibility of using coherence information derived from ERS Tandem pairs for estimating growing stock volume of boreal forest is investigated. The problem is that the coherence is not only dependent on land cover, but also on imaging characteristics (baseline), environmental effects (rainfall, wind, frost), and topography. An example is shown in the form of a mosaic of nine ERS coherence images from a region around the Yenisey river in Central Siberia. It is clear that the coherence may change drastically from track to track. Also, the strong influence of topography is evident in the lower part of the image. To study the relationship between forest and radar parameters an extensive data set was built up within the framework of the SIBERIA project, which has the aim to generate large-scale forest maps for Russian foresters using ERS and JERS imagery. Forestry data from 36 test sites, each covering from 20,000 to 100,000 hectares of forested land, were made available. The sites were chosen to represent different forest and vegetation zones. This extensive database provides a good basis for understanding the potential and limitations of using ERS coherence in forestry applicationsGeoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International; 02/2000 -
Conference Proceeding: SIBERIA-results from the IGBP boreal forest transect
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ABSTRACT: SIBERIA (Sar Imaging for Boreal Ecology and Radar Interferometry Applications) is an international effort to use ERS-1/2 and JERS-1 SAR images and interferometric information to map Siberian boreal vegetation characteristics. This paper gives an overview of the first results along the West-Transect of the North-Eurasian Study for the International Geosphere-Biosphere Program (IGBP NES). The transect follows along 90 degrees Eastern longitude, crossing the boreal forest belt from 50 to 70 degrees northern latitude. It follows for a large part the Yenisei river, which represents the boarder between the West-Siberian plains and the mountainous Central Plateau. Along this transition, two distinct ecosystems meet: the spruce-birch dominated wetland Taiga versus the continental larch-aspen Taiga. The transect includes a super test site with meteorological and xylem flux measurement stations at 90 E, 60 NGeoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International; 02/1999 -
Conference Proceeding: Classification of central Siberian forest types by combining interferometric radar remote sensing (ERS Tandem Mission, JERS), topographic data and ecophysiological information
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ABSTRACT: Boreal landscape modelling of hydrological processes and carbon and nitrogen exchange requires an adequate spatial database of topography, edaphic conditions and vegetation cover. Spatial variability in boreal vegetation types and edaphic factors depends largely on topography and geomorphology. One aspect of the authors' work is the development of an a priori landscape classification scheme which is based on (a) topographic information extracted from interferometric and conventional digital elevation models (DEM) and (b) knowledge of ecophysiological requirements of major vegetation types. Based on this information classes of soil types and correlated potential vegetation will be defined. This a priori landscape classification is then checked by a SAR remote sensing classification based on radar backscatter and coherence which detects structural discrepancies between predicted and current land cover (e.g. open areas vs. forest due to fire disturbance or non-climax vegetation). Both, ERS-Tandem data and JERS data are used. Enhancement of the SAR based vegetation classification is expected from matching the SAR classification with the a priori landscape classification. As a next step the enhanced functional-structural landscape and vegetation classification may be used for upscaling fluxes and assessing pool sizes on a regional and continental scaleGeoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International; 02/1999 -
Conference Proceeding: SIBERIA - Results from the IGBP Boreal Forest Transect
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ABSTRACT: This paper gives an overview of the first results along the western transect of the North Eurasian Sutdy for the IGBP Program. Interferometric processing, SAR geometry issues and calibration are adressed. First classification approaches compare results to the Russian forest inventory. Forest/non-forest can only be distinguished using Tandem coherence.International Geoscience and Remote Sensing Symposium, Hamburg, 28 June- 2 July 1999; -
SIBERIA 3rd Progress Report
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Conference Proceeding: The Use of Coherence Information Derived from ERS Tandem Pairs for Forest Classification in SIBERIA
IGARSS'2000, Honolulu, Hawaii, USA, 24-28 July 2000; -
Conference Proceeding: SIBERIA - Sar Imaging for Boreal Ecology and Radar Interferometry Applications: First ERS Tandem Results from the IGBP Boreal Forest Transect
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ABSTRACT: Radar remote sensing has become an increasingly important tool for observations of forest ecosystems. SIBERIA merges the advantages of operational SAR satellites by analysing dual-frequency composites and interferometric products. SIBERIA demonstrates the feasibility of radar remote sensing technology for large-scale vegetation mapping and combines and refines state-of-the-art technology and techniques. Where interferometric coherence allows, high quality digital elevation models will be generated.Second International Workshop on Retrieval of Bio- & Geophysical Parameters from SAR Data for Land Applications, 21-23 October 1998, ESTEC Noordwijk; -
Article: Waldkartierung in Sibirien
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ABSTRACT: SIBIERA ist ein internationales Projekt mit Partners aus acht Nationen, das Radardaten der europäischen Satelliten ERS-1 und ERS-2 und des japanischen JERS-1 auswertet, um die sibirischen Wälder zu Unterstützung einer neuen russisch Forstinventur zu kartieren und um wissenschaftliche Fragestellungen zu Waldökosystemen zu untersuchen.DLR Nachrichten. 1999(1999-92):30-32. -
SIBERIA - 1st Progress Report
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ABSTRACT: This report describes the porgress made and the problems encountered in the first six months of the SIBERIA project. The limited data availability has hampered methodological development and has caused a delay of approximately three months. Nevertheless, preparatory work and first tests based on sample imagery have been performed. -
SIBERIA - 2nd Progress Report
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ABSTRACT: This report describes the work done during the second six month period of the SIBERIA project. With the increasing availability of ground truth information and ERS SAR imagery methodological questions could be adressed accordingly. Procedures for calculating geocoded incidence angle mask (GIMs), masking of shadow and layover areas, co-registration of satellite and GIS data, calibration of ERS images, filtering, rule- and data-based classification, accuracy assessment, and data transfer have been developed and tested. The results so far suggest that the ERS coherence and the JERS amplitude are the most important parameters for forest and landcover classification. -
Conference Proceeding: Monitoring Moderate Slope Movements (Landslides) in the Southern French Alps Using Differential SAR Interferometry
Second International Workshop on ERS SAR Interferometry, FRINGE'99, Liège, Belgium, 10 - 12 November 1999;
