Pub Date : 2013-12-01DOI: 10.1127/1432-8364/2013/0199
M. Schmitt, Christophe Magnard, S. Stanko, C. Ackermann, Uwe Stilla
For rural and natural scenes, synthetic aperture radar interferometry (InSAR) has long been an operational technique for the generation of digital surface models. With the advent of sensors providing data in the decimetre resolution domain, also the analysis of densely built-up urban areas has become an increasingly important research topic. Due to the complexity of this kind of scenes, however, advanced interferometric techniques have to be employed. While usually satellite-borne stacks of multi-temporal data are collected in order to make use of differential SAR interferometry or the increasingly popular persistent scatterer technique, this article aims at the utilization of an airborne single-pass multi-baseline system working in the millimetrewave domain. Starting from the description of the exemplary German MEMPHIS sensor, the complete processing chain from the collection of necessary navigation data over the focusing of the raw SAR data to finally the application of sophisticated InSAR techniques is shown. Fur landliche und naturliche Szenen ist die SAR-Interferometrie seit langem eine operationelle Technik zur Generierung digitaler Oberflachenmodelle. Mit dem Einzug von Sensoren, die Daten im Dezimeter-Bereich bereitstellen, ist auch die Analyse dicht bebauter stadtischer Gebiete ein zunehmend wichtiges Forschungsthema geworden. Wegen der Komplexitat dieser Art von Szenen mussen jedoch fortgeschrittene interferometrische Techniken verwendet werden. Wahrend dazuublicherweise von Satelliten aus aufgenommene Stapel multi-temporaler Daten gesammelt werden, um sich der differentiellen SAR-Interferometrie oder der zunehmend popularen Persistent Scatterer-Technik zu bedienen, zielt dieser Artikel auf die Verwendung eines flugzeuggetragenen Einpass-Mehrfachbasislinien-Systems ab, das im Millimeterwellenbereich arbeitet. Ausgehend von der beispielhaften Beschreibung des deutschen MEMPHIS-Sensors wird die komplette Prozessierungskette von der Aufnahme der benotigten Navigationsdatenuber die Fokussierung der rohen SAR-Daten hin zur Anwendung hochentwickelter InSAR-Techniken gezeigt.
对于农村和自然场景，合成孔径雷达干涉测量技术(InSAR)一直是数字地表模型生成的一种实用技术。随着分米分辨率传感器的出现，对人口密集地区的分析也成为一个越来越重要的研究课题。然而，由于这类场景的复杂性，必须采用先进的干涉测量技术。虽然通常是为了利用差分SAR干涉测量或日益流行的持续散射技术而收集星载多时相数据堆栈，但本文旨在利用机载单通多基线系统在毫米波域工作。从典型的德国MEMPHIS传感器的描述开始，展示了从收集必要的导航数据到聚焦原始SAR数据到最终应用复杂InSAR技术的完整处理链。基于自然和自然条件的sar干涉仪测控技术研究。在德国，德国的研究人员对德国的研究结果进行了分析，并对德国的研究结果进行了分析。复合材料与干涉技术的研究与应用。Wahrend dazublicherweise von satellite - aufgenome Stapel多时间型Daten gesammelt werden, um sid差分sar -干涉仪(differential sar - interferomee)， der der持续散射技术(Persistent Scatterer-Technik)， zielt dieser Artikel auf die Verwendung eines flugzeuggetragenen einass - mehrfachbasislinen - systems ab, and in millimeterwellenereich arbeitet。(1)卫星导航系统(2)卫星导航系统(3)卫星导航系统(3)卫星导航系统(4)卫星导航系统(4)卫星导航系统(3)卫星导航系统(4)卫星导航系统(3)卫星导航系统(4)卫星导航系统(4)卫星导航系统(4)卫星导航系统(4)卫星导航系统(3)卫星导航系统(4)卫星导航系统(4)卫星导航系统(3)卫星导航系统(4)卫星导航系统(4)卫星导航系统(4)卫星导航系统(4)卫星导航系统
{"title":"Advanced high resolution SAR interferometry of urban areas with airborne millimetrewave radar","authors":"M. Schmitt, Christophe Magnard, S. Stanko, C. Ackermann, Uwe Stilla","doi":"10.1127/1432-8364/2013/0199","DOIUrl":"https://doi.org/10.1127/1432-8364/2013/0199","url":null,"abstract":"For rural and natural scenes, synthetic aperture radar interferometry (InSAR) has long been an operational technique for the generation of digital surface models. With the advent of sensors providing data in the decimetre resolution domain, also the analysis of densely built-up urban areas has become an increasingly important research topic. Due to the complexity of this kind of scenes, however, advanced interferometric techniques have to be employed. While usually satellite-borne stacks of multi-temporal data are collected in order to make use of differential SAR interferometry or the increasingly popular persistent scatterer technique, this article aims at the utilization of an airborne single-pass multi-baseline system working in the millimetrewave domain. Starting from the description of the exemplary German MEMPHIS sensor, the complete processing chain from the collection of necessary navigation data over the focusing of the raw SAR data to finally the application of sophisticated InSAR techniques is shown. \u0000Fur landliche und naturliche Szenen ist die SAR-Interferometrie seit langem eine operationelle Technik zur Generierung digitaler Oberflachenmodelle. Mit dem Einzug von Sensoren, die Daten im Dezimeter-Bereich bereitstellen, ist auch die Analyse dicht bebauter stadtischer Gebiete ein zunehmend wichtiges Forschungsthema geworden. Wegen der Komplexitat dieser Art von Szenen mussen jedoch fortgeschrittene interferometrische Techniken verwendet werden. Wahrend dazuublicherweise von Satelliten aus aufgenommene Stapel multi-temporaler Daten gesammelt werden, um sich der differentiellen SAR-Interferometrie oder der zunehmend popularen Persistent Scatterer-Technik zu bedienen, zielt dieser Artikel auf die Verwendung eines flugzeuggetragenen Einpass-Mehrfachbasislinien-Systems ab, das im Millimeterwellenbereich arbeitet. Ausgehend von der beispielhaften Beschreibung des deutschen MEMPHIS-Sensors wird die komplette Prozessierungskette von der Aufnahme der benotigten Navigationsdatenuber die Fokussierung der rohen SAR-Daten hin zur Anwendung hochentwickelter InSAR-Techniken gezeigt.","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85914112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-10-01DOI: 10.1127/1432-8364/2013/0187
G. Altrogge, K. Komp
{"title":"Guest-Editorial: 25 Years of Development to Improve Earth Observation and Processing of Geoinformation","authors":"G. Altrogge, K. Komp","doi":"10.1127/1432-8364/2013/0187","DOIUrl":"https://doi.org/10.1127/1432-8364/2013/0187","url":null,"abstract":"","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75969813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-10-01DOI: 10.1127/1432-8364/2013/0196
W. Brandenburger, M. Drauschke, H. Mayer
puter vision. The Internet of things is another application for high resolution interpreted 3D scenes. According to LEBERL et al. (2012), information down to 3 cm resolution is needed for virtual navigation through urban spaces. Therefore, also the recognition of small details on building façades will be required for realistic models of the environment. LEBERL et al. (2012) derive large and highly detailed 3D models of urban spaces from various data sources. Aerial images are used to generate coarse building and landscape models, whereas laser scans and terrestrial images from mobile sensing platforms are employed for the determination of models with more detail. If these results can be merged with future results of automated approaches for the interpretation of façades such as HOHMANN et al. (2009), the combination will make automatic
{"title":"Cornice Detection Using Façade Image and Point Cloud","authors":"W. Brandenburger, M. Drauschke, H. Mayer","doi":"10.1127/1432-8364/2013/0196","DOIUrl":"https://doi.org/10.1127/1432-8364/2013/0196","url":null,"abstract":"puter vision. The Internet of things is another application for high resolution interpreted 3D scenes. According to LEBERL et al. (2012), information down to 3 cm resolution is needed for virtual navigation through urban spaces. Therefore, also the recognition of small details on building façades will be required for realistic models of the environment. LEBERL et al. (2012) derive large and highly detailed 3D models of urban spaces from various data sources. Aerial images are used to generate coarse building and landscape models, whereas laser scans and terrestrial images from mobile sensing platforms are employed for the determination of models with more detail. If these results can be merged with future results of automated approaches for the interpretation of façades such as HOHMANN et al. (2009), the combination will make automatic","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83742281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-10-01DOI: 10.1127/1432-8364/2013/0191
Heiner Rössmann, Joachim Peyker, A. Völker, A. Klink
{"title":"Einsatz von Change-Detection-Methoden bei der Fortführung von Versiegelungs- und Gebäudedatenbeständen","authors":"Heiner Rössmann, Joachim Peyker, A. Völker, A. Klink","doi":"10.1127/1432-8364/2013/0191","DOIUrl":"https://doi.org/10.1127/1432-8364/2013/0191","url":null,"abstract":"","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87716522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-10-01DOI: 10.1127/1432-8364/2013/0194
K. Jacobsen
Digital height models (DHM) covering larger areas can be generated by means of optical or synthetic aperture radar (SAR) images taken from space. An overview of the sensors and the characteristics of generated height models is given. With very high resolution optical satellite stereo pairs a system accuracy of 1.0 ground sampling distance (GSD) standard deviation can be reached. Of course this is not the accuracy of a DEM, which is also influenced by interpolation and includes areas with limited contrast and vegetation, leading to lower quality. In addition, the difference between digital surface models (DSMs), describing the visible surface, and digital terrain models (DTMs), describing the bare ground, has to be respected. The same problem exists for SAR images used by either interferometric SAR (InSAR) or by radargrammetry if no InSAR configuration is available. It has to be ascertained whether existing regional or nearly worldwide DEMs can be used instead of especially produced elevation models. The SRTM DEM and ASTER GDEM are both available, free of charge via the Internet, but their resolution and accuracy are limited. Higher resolution DEMs, such as the SPOT DEM (also named Reference 3D) or NextMap, are not free of charge and they do not cover the whole earth. This will also be the case for the TanDEM-X height model, which will be available in 2014. If more detailed DEMs are required, they can be determined by automatic image matching of very high resolution satellite imagery.
{"title":"DEM Generation from High Resolution Satellite Imagery","authors":"K. Jacobsen","doi":"10.1127/1432-8364/2013/0194","DOIUrl":"https://doi.org/10.1127/1432-8364/2013/0194","url":null,"abstract":"Digital height models (DHM) covering larger areas can be generated by means of optical or synthetic aperture radar (SAR) images taken from space. An overview of the sensors and the characteristics of generated height models is given. With very high resolution optical satellite stereo pairs a system accuracy of 1.0 ground sampling distance (GSD) standard deviation can be reached. Of course this is not the accuracy of a DEM, which is also influenced by interpolation and includes areas with limited contrast and vegetation, leading to lower quality. In addition, the difference between digital surface models (DSMs), describing the visible surface, and digital terrain models (DTMs), describing the bare ground, has to be respected. The same problem exists for SAR images used by either interferometric SAR (InSAR) or by radargrammetry if no InSAR configuration is available. It has to be ascertained whether existing regional or nearly worldwide DEMs can be used instead of especially produced elevation models. The SRTM DEM and ASTER GDEM are both available, free of charge via the Internet, but their resolution and accuracy are limited. Higher resolution DEMs, such as the SPOT DEM (also named Reference 3D) or NextMap, are not free of charge and they do not cover the whole earth. This will also be the case for the TanDEM-X height model, which will be available in 2014. If more detailed DEMs are required, they can be determined by automatic image matching of very high resolution satellite imagery.","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77959744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-10-01DOI: 10.1127/1432-8364/2013/0189
V. E. G. Millán, S. Teuwsen, K. Pakzad
The R&D project GMES4Mining aims to support particular tasks within the different phases of a mining life cycle. Within this project one task concentrates on vegetation monitoring in order to detect damages caused by mining. In Germany several mining districts have been exploited for a long time. Mining areas are associated with certain environmental hazards, such as surface subsidence and flooding. The change in substrate compaction due to mineral extraction provokes surface subsidence, down to the point that the surface can reach the groundwater level. This phenomenon provokes negative effects on vegetation, which can be observed using remote sensing. A temporal series of Landsat images from 1999 to 2012 has been used to detect temporal changes in vegetation by calculating 3 spectral indices. The spectral indices relate to vegetation greenness, leaf pigments and water content. The aim of this study is to detect early indications and to monitor the process of flooding in abandoned mining sites, to prevent environmental and civil hazards. Moreover, it is investigated whether these indices are appropriate to detect flooded areas and to describe the vegetation succession, once a flooded area is drained. It is expected that this methodology will be applicable to the future Sentinel-2 data, in order to monitor and prevent hazards in mining areas.
{"title":"GMES4Mining - Description of a flooding process in mining areas using spectral indices on multioral landsat imagery","authors":"V. E. G. Millán, S. Teuwsen, K. Pakzad","doi":"10.1127/1432-8364/2013/0189","DOIUrl":"https://doi.org/10.1127/1432-8364/2013/0189","url":null,"abstract":"The R&D project GMES4Mining aims to support particular tasks within the different phases of a mining life cycle. Within this project one task concentrates on vegetation monitoring in order to detect damages caused by mining. In Germany several mining districts have been exploited for a long time. Mining areas are associated with certain environmental hazards, such as surface subsidence and flooding. The change in substrate compaction due to mineral extraction provokes surface subsidence, down to the point that the surface can reach the groundwater level. This phenomenon provokes negative effects on vegetation, which can be observed using remote sensing. A temporal series of Landsat images from 1999 to 2012 has been used to detect temporal changes in vegetation by calculating 3 spectral indices. The spectral indices relate to vegetation greenness, leaf pigments and water content. The aim of this study is to detect early indications and to monitor the process of flooding in abandoned mining sites, to prevent environmental and civil hazards. Moreover, it is investigated whether these indices are appropriate to detect flooded areas and to describe the vegetation succession, once a flooded area is drained. It is expected that this methodology will be applicable to the future Sentinel-2 data, in order to monitor and prevent hazards in mining areas.","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76679835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-10-01DOI: 10.1127/1432-8364/2013/0190
Cordt Büker, Thomas Lettau
nen Stichprobenkontrollen im Rahmen des Integrierten Verwaltungsund Kontrollsystems (InVeKoS) vor der Auszahlung der Gelder werden seit vielen Jahren mit Hilfe der Fernerkundung durchgeführt. Die Fernerkundungskontrolle wird in der Regel von privaten Dienstleistern aus dem Bereich der Geoinformationsverarbeitung übernommen. Die Firmen koordinieren die Aufnahme und Verarbeitung der erforderlichen Bilddaten und führen diese mit den Antragsunterlagen, den Flächen des landwirtschaftlichen Parzellen-Informationssystems (LPIS) und weiteren Informationsebenen zusammen. Mit Hilfe eines GIS werden die beantragten Flächen in visueller Interpretation identifiziert und abgegrenzt. Dabei wird die Größe und Nutzung der beantragten Flächen auf Grundlage aktueller hochauflösender Luftbilder bzw. Satellitenaufnahmen überprüft. Bei Feststellung des Vorliegens der Voraussetzungen für die Prämiengewährung werden die einzelnen Flächen gemäß den unterschiedli1 Einleitung
{"title":"Die Reform der Gemeinsamen Agrarpolitik - Möglichkeiten und Grenzen der Fernerkundungskontrolle","authors":"Cordt Büker, Thomas Lettau","doi":"10.1127/1432-8364/2013/0190","DOIUrl":"https://doi.org/10.1127/1432-8364/2013/0190","url":null,"abstract":"nen Stichprobenkontrollen im Rahmen des Integrierten Verwaltungsund Kontrollsystems (InVeKoS) vor der Auszahlung der Gelder werden seit vielen Jahren mit Hilfe der Fernerkundung durchgeführt. Die Fernerkundungskontrolle wird in der Regel von privaten Dienstleistern aus dem Bereich der Geoinformationsverarbeitung übernommen. Die Firmen koordinieren die Aufnahme und Verarbeitung der erforderlichen Bilddaten und führen diese mit den Antragsunterlagen, den Flächen des landwirtschaftlichen Parzellen-Informationssystems (LPIS) und weiteren Informationsebenen zusammen. Mit Hilfe eines GIS werden die beantragten Flächen in visueller Interpretation identifiziert und abgegrenzt. Dabei wird die Größe und Nutzung der beantragten Flächen auf Grundlage aktueller hochauflösender Luftbilder bzw. Satellitenaufnahmen überprüft. Bei Feststellung des Vorliegens der Voraussetzungen für die Prämiengewährung werden die einzelnen Flächen gemäß den unterschiedli1 Einleitung","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90715693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-10-01DOI: 10.1127/1432-8364/2013/0192
C. Haub, Luca Kleinewillinghöfer, J. Brockmann, K. Komp, S. Gilliams
{"title":"Monitoring Services for Food Security – Successful Transfer of Technology to the Sudanese Government","authors":"C. Haub, Luca Kleinewillinghöfer, J. Brockmann, K. Komp, S. Gilliams","doi":"10.1127/1432-8364/2013/0192","DOIUrl":"https://doi.org/10.1127/1432-8364/2013/0192","url":null,"abstract":"","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78310248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-10-01DOI: 10.1127/1432-8364/2013/0195
M. Cramer, N. Haala, Mathias Rothermel, Benedikt Leinss, D. Fritsch
{"title":"UAV@LGL – Pilotstudie zum Einsatz von UAV im Rahmen der Landesvermessung in Deutschland","authors":"M. Cramer, N. Haala, Mathias Rothermel, Benedikt Leinss, D. Fritsch","doi":"10.1127/1432-8364/2013/0195","DOIUrl":"https://doi.org/10.1127/1432-8364/2013/0195","url":null,"abstract":"","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84508763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-10-01DOI: 10.1127/1432-8364/2013/0188
O. Buck, A. Klink, V. E. G. Millán, K. Pakzad, A. Müterthies
Summary: The Natura 2000 network of protected sites is one of the means to address the issue of biodiversity conservation in Europe. Protected under the habitat directive, EU member states have to undertake surveillance of habitats and species of community interest and report every six years on habitat range and distribution, conservation status and the future prospects of the habitats within and outside of protected sites. Remote sensing techniques have been applied successfully to monitor habitat changes relevant for Natura 2000 monitoring using multioral satellite image data, but many challenges remain especially outside protected sites to assess the development of habitats over time. A flexible information layer concept was developed within the FP7 project MS.MONINA to address the complex task of monitoring natural habitats. In this paper the new approach to classify grassland land cover classes in Schleswig-Holstein, Germany, will be presented. Based on ecological parameters experts defined simple description models, which were used by image analysts to extract corresponding image features for four different grassland types. Information layer operators were defined to extract image features for subsequent classifications. (Less)
{"title":"Image analysis methods to monitor natura 2000 habitats at regional scales - the ms. monina state service example in schleswig-holstein, Germany","authors":"O. Buck, A. Klink, V. E. G. Millán, K. Pakzad, A. Müterthies","doi":"10.1127/1432-8364/2013/0188","DOIUrl":"https://doi.org/10.1127/1432-8364/2013/0188","url":null,"abstract":"Summary: The Natura 2000 network of protected sites is one of the means to address the issue of biodiversity conservation in Europe. Protected under the habitat directive, EU member states have to undertake surveillance of habitats and species of community interest and report every six years on habitat range and distribution, conservation status and the future prospects of the habitats within and outside of protected sites. Remote sensing techniques have been applied successfully to monitor habitat changes relevant for Natura 2000 monitoring using multioral satellite image data, but many challenges remain especially outside protected sites to assess the development of habitats over time. A flexible information layer concept was developed within the FP7 project MS.MONINA to address the complex task of monitoring natural habitats. In this paper the new approach to classify grassland land cover classes in Schleswig-Holstein, Germany, will be presented. Based on ecological parameters experts defined simple description models, which were used by image analysts to extract corresponding image features for four different grassland types. Information layer operators were defined to extract image features for subsequent classifications. (Less)","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90444837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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