Approaches to utilising QuickBird data for the monitoring of NATURA 2000 habitats

Förster, Michael; Frick, Annett; Walentowski, Helge; Kleinschmit, Birgit

doi:10.1556/comec.9.2008.2.4

Cited by 59 publications

(30 citation statements)

References 16 publications

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“…To fulfill the obligations of the EU Habitats Directive, the European Commission explicitly requests remote sensing tools as part of the NATURA 2000 habitat monitoring and the related surveillance scheme to be established by 2013 and demands reporting on the ‗conservation status' of the habitats on a six-year basis [3]. So far, several remote sensing studies have tackled NATURA 2000 monitoring concerns [4,5]; however, overall progress has been limited [3,6]. In October 2010, European scientists and policy stakeholders from the Commission's Directorate-General for the Environment convened for the HABISTAT conference to discuss the respective advancements achieved.…”

Section: Introductionmentioning

confidence: 99%

Towards Detecting Swath Events in TerraSAR-X Time Series to Establish NATURA 2000 Grassland Habitat Swath Management as Monitoring Parameter

et al. 2011

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Spatial monitoring tools are necessary to respond to the threat of global biodiversity loss. At the European scale, remote sensing tools for NATURA 2000 habitat monitoring have been requested by the European Commission to fulfill the obligations of the EU Habitats Directive. This paper introduces a method by which swath events in semi-natural grasslands can be detected from multi-temporal TerraSAR-X data. The investigated study sites represent rare and endangered habitats (NATURA 2000 codes 6410, 6510), located in the Döberitzer Heide nature conservation area west of Berlin. We analyzed a time series of 11 stripmap images (HH-polarization) covering the vegetation period affected by swath (June to September 2010) at a constant 11-day acquisition rate. A swath detection rule was established to extract the swath events for the NATURA 2000 habitats as well as for six contrasting pasture sites not affected by swath. All swath events observed in the field were correctly allocated. The results indicate the potential to allocate semi-natural grassland swath events to 11-day-periods using TerraSAR-X time series. Since the conservation of semi-natural grassland habitats requires compliance with specific

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Section: Introductionmentioning

confidence: 99%

Towards Detecting Swath Events in TerraSAR-X Time Series to Establish NATURA 2000 Grassland Habitat Swath Management as Monitoring Parameter

et al. 2011

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“…We can spectrally predict the vegetation continuum and a posteriori derive information from that. It crucially differs from common remote sensing based methods, where image pixels are classified according to different habitat types [12,83] or habitat quality parameters [12,15]. Therein, an image pixel is determined by one attribute that was a priori defined as a relevant ecological entity for the evaluation of habitat quality.…”

Section: Conservation Status Assessmentmentioning

confidence: 99%

“…Thereby, an image pixel is linked to the structure of the site-specific ordination space that holds information such as the direction of habitat succession, the distribution of plant species, or, indirectly, about the abiotic gradients. Commonly, this information has to be defined before mapping and the conservation status assessment is based exactly on these defined categories [12,14]. The functional aggregation technique coupled with probability, pressure strength, and assessment predictions also allow a continuous interpolation of ordinated plot information.…”

Section: Conservation Status Assessmentmentioning

confidence: 99%

“…There is still a considerable gap in knowledge transfer between remote-sensing specialists and ecologists in conjunction with the application demands of legal authorities [5,8,9]. The first steps in combining ecological knowledge with Natura 2000 habitat management are usually carried out using indicator species mapping [10][11][12], whereby habitat types and indicator species for habitat-status assessment are modeled separately or on the basis of object classes describing habitat quality and quantity in aggregate forms as habitat units [13][14][15][16]. Such approaches start from the premise that vegetation and habitat structures exist in a discrete pattern that can be classified a priori into categories [17].…”

Section: Introductionmentioning

confidence: 99%

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Gradient-Based Assessment of Habitat Quality for Spectral Ecosystem Monitoring

Neumann

Weiss²,

Schmidtlein

et al. 2015

Remote Sensing

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Abstract:The monitoring of ecosystems alterations has become a crucial task in order to develop valuable habitats for rare and threatened species. The information extracted from hyperspectral remote sensing data enables the generation of highly spatially resolved analyses of such species' habitats. In our study we combine information from a species ordination with hyperspectral reflectance signatures to predict occurrence probabilities for Natura 2000 habitat types and their conservation status. We examine how accurate habitat types and habitat threat, expressed by pressure indicators, can be described in an ordination space using spatial correlation functions from the geostatistic approach. We modeled habitat quality assessment parameters using floristic gradients derived by non-metric multidimensional scaling on the basis of 58 field plots. In the resulting ordination space, the variance structure of habitat types and pressure indicators could be explained by 69% up to 95% with fitted variogram models with a correlation to terrestrial mapping of >0.8. OPEN ACCESSRemote Sens. 2015, 7 2872Models could be used to predict habitat type probability, habitat transition, and pressure indicators continuously over the whole ordination space. Finally, partial least squares regression (PLSR) was used to relate spectral information from AISA DUAL imagery to floristic pattern and related habitat quality. In general, spectral transferability is supported by strong correlation to ordination axes scores (R 2 = 0.79-0.85), whereas second axis of dry heaths (R 2 = 0.13) and first axis for pioneer grasslands (R 2 = 0.49) are more difficult to describe.

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“…Multispectral data taken by spaceborne sensors (e.g., Landsat 7, ASTER, IKONOS, SPOT-5, Worldview-2, Quickbird-2, Rapideye) are useful for land cover assessments of from local to regional scale (depending on the spatial resolution). Such data are being used to assess habitat conditions for monitoring purposes (FÖRSTER et al 2008;FRANKE et al 2012;SPANHOVE et al 2012). Advanced studies investigate spectral characteristics of specific sensors for such tasks (e.g., SCHUSTER et al 2012), and addressed the suitability of multispectral data for an assessment of detailed floristic variation.…”

Section: Eo Capabilities For Mapping Natural Habitatsmentioning

confidence: 99%

Earth Observation for Habitat and Biodiversity Monitoring

2013

GI_Forum 2013 – Creating the GISociety

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The special workshop "Earth observation for ecosystem and biodiversity monitoring -best practices in Europe and globally, at GI_Forum 2013, focused on the outcomes of the EUfunded projects MS.MONINA and BIO_SOS and related activities that highlight the potential of Earth observation data and technologies in support of biodiversity and ecosystem monitoring. In Europe, nature conservation rests upon a strong, yet ambitious policy framework with legally binding directives. Thus, geospatial information products are required at all levels of implementation. With advances in Earth observation data availability and the forthcoming of powerful data analysis tools we enter a new dimension of satellitebased services. Recent achievements of such endeavours were showcased and challenges discussed, using best practice examples from both inside and outside Europe. This article summarizes the state-of-the-art of satellite-based habitat mapping and accommodates the paper contributions in the current scientific discourse.

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Approaches to utilising QuickBird data for the monitoring of NATURA 2000 habitats

Cited by 59 publications

References 16 publications

Towards Detecting Swath Events in TerraSAR-X Time Series to Establish NATURA 2000 Grassland Habitat Swath Management as Monitoring Parameter

Towards Detecting Swath Events in TerraSAR-X Time Series to Establish NATURA 2000 Grassland Habitat Swath Management as Monitoring Parameter

Gradient-Based Assessment of Habitat Quality for Spectral Ecosystem Monitoring

Earth Observation for Habitat and Biodiversity Monitoring

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