27 research outputs found
Remote sensing of salt marsh vegetation stress
No full textThe data accompanying the PhD thesis of Bas Oteman. Mostly vegetation measurements in European salt marshes
Data with "Shellfish reefs increase water storage capacity on intertidal flats over extensive spatial scales"
No full textDataset in support of the publication "Shellfish reefs increase water storage capacity on intertidal flats over extensive spatial scales" published in Ecosystems, bij Nieuwhof, Van Belzen, Oteman, van de Koppel, Herman and van der Wal. It includes the data and scripts (R and matlab) for the analyses and figures in this publication. This includes aerial images and elevation maps of the 3 shellfish reefs studied and calculated water storage capacity of the reefs. It also includes a map of water storage capacity of the Dutch Wadden Sea south of the island of Schiermonnikoog based on a bathymetry map
From data to information: An introduction to using remote sensing data and open-source tools for analysis of foreshore characteristics
No full text<p>Course giving an introduction to remote sensing and practical examples of using open-source software for image processing. Given as an inter-active workshop by the FAST WP3 team during Delft Software Days (DSD2015).</p>
<p>View slides at: http://edwardpmorris.github.io/dsd_fast_teaching</p>
Emerging technologies for pollinator monitoring
No full textEfficient tools for monitoring pollinator populations are urgently needed to address their reported declines. Here, we review advanced technologies focusing on image recognition and DNA-based methods to monitor bees, hoverflies, moths and butterflies. Insect camera traps are widely used to record nocturnal insects against uniform backgrounds, while cameras studying diurnal pollinators in natural vegetation are in early stages of development. Depending on context, insect camera traps can assess occurrence, phenology and proxies of abundance for easily recognizable and common species. DNA-based techniques can drastically decrease the costs of sample processing and speed of specimen identification but strongly depend on the completeness of reference DNA databases, which are continually improving. Molecular analyses are becoming more affordable as uptake increases. Image-based methods for identification of dead specimens show promising results for some invertebrates but image reference databases for pollinators are far from complete. Building image reference databases with expert entomologists is a priority. Lidar and acoustic sensors are emerging technologies although which insect taxa can be separated in data from these sensors and how well is still uncertain. By improving accessibility to novel technologies and integrating them with existing approaches, monitoring of pollinators and other insects could deliver richer, more standardized and possibly cheaper data with benefits to future insect conservation efforts
Am I Safe? Copernicus downstream service is zooming in on coastal flood risk
No full textFAST project poster for the EUROPEAN STAND of the GEO WEEK EXHIBITION (Washington DC, October 2017
Final FAST project brochure
No full textFinal public brochure of the FAST project. This brochure is presented as a triptych to communicate to the general audience (i.e. end-users, Scientific community, Students, General public, Steering committee and EU) challenges, aim and main achievements of the FAST project, the MI-SAFE package. This brochure informs about the maintenance of the services after the project ends, the FAST community and the ways to communicate with the FAST team. The description of the MI-SAFE package embraces the description of services, levels of provision and overview of the MI-SAFE viewer, which is our main vehicle for accessing and demonstrating our services as well as for accessing complementary documentation to prove their quality and their value for society
Webinar: The MI-SAFE package: Resources to implement nature based flood defence
No full textSlides from the presentation of the Webinar: The MI-SAFE package: Resources to implement nature based flood defence. The webinar is available in https://youtu.be/Dur7VlNuvUQ
The FAST project consortium used this presentation during the webinar they celebrated on the 20th July 2017 to distribute the MI-SAFE package.
MI-SAFE is a package of services designed to help with meeting the requirements of managers and engineers who may implement nature based flood defence strategies, and with challenge of reducing the cost of flood protection as well as assisting efforts towards a more wide-spread and successful restoration and conservation of coastal ecosystems.
MI-SAFE includes a viewer free and based on open source standards (http://fast.openearth.eu). Use this webinar to understand the science behind MI-SAFE and to learn how to use our viewer to access to the MI-SAFE services
Second FAST Project Webinar: Assessing the role of coastal vegetation for wave attenuation using the MI-SAFE viewer
No full textThis second FAST project webinar was held on 31st October 2017 as part of the FAST Symposium during the Delft Software Days - Edition 2017 (DSD-INT 2017). During the webinar, the audience explored the latest scientific approaches towards Nature-Based flood defenses together with the FAST team and the audience present at the DSD.
The MI-SAFE viewer has been developed as part of the FAST project (Foreshore Assessment using Space Technology) and is a valuable tool to assess the presence of vegetation and its contribution to wave attenuation anywhere in the world. Data on topography, bathymetry, vegetation cover and change, storm surge and wave statistics are derived from earth observation imagery, global databases and numerical modelling. Field data collected during the FAST project have been used to calibrate our model (XBeach) and its vegetation parameters. Next to global, large-scale data we have derived detailed and more accurate data for specific sites (Expert Level of services). Tailor-made solutions are offered to fit the user’s requirements for implementing nature-based flood defences.
This second webinar started at 09:30 CET to suit countries on the Eastern hemisphere.
The recording of the webinar can be played at Deltares YouTube channel: https://youtu.be/aHd6ICTRHbA
The set-up of this webinar was as follows (time indicated as hh:mm:ss after beginning of the recording)
00:00:00 - Presentation and Introduction to the FAST Project by Dr. Mindert de Vries (Deltares).
00:08:58 - The MI-SAFE viewer, guided tour by Dr. Mindert de Vries.
00:23:00 - The Science behind MI-SAFE: Remote sending by Dr. Daphne van der Wal (NIOZ).
00:33:08 - The Science behind MI-SAFE: Field measurements by Dr. Iris Möller (University of Cambridge).
00:47:03 - Advanced applications and services by Dr. Mindert de Vries.
01:01:34 - The value of MI-SAFE: after the FAST project by Dr. Mindert de Vries
Using remote sensing to identify drivers behind spatial patterns in the bio-physical properties of a saltmarsh pioneer
No full textRecently, spatial organization in salt marshes was shown to contain vital information on system resilience. However, in salt marshes, it remains poorly understood what shaping processes regulate spatial patterns in soil or vegetation properties that can be detected in the surface reflectance signal. In this case study we compared the effect on surface reflectance of four major shaping processes: Flooding duration, wave forcing, competition, and creek formation. We applied the ProSail model to a pioneering salt marsh species (Spartina anglica) to identify through which vegetation and soil properties these processes affected reflectance, and used in situ reflectance data at the leaf and canopy scale and satellite data on the canopy scale to identify the spatial patterns in the biophysical characteristics of this salt marsh pioneer in spring. Our results suggest that the spatial patterns in the pioneer zone of the studied salt marsh are mainly caused by the effect of flood duration. Flood duration explained over three times as much of the variation in canopy properties as wave forcing, competition, or creek influence. It particularly affects spatial patterns through canopy properties, especially the leaf area index, while leaf characteristics appear to have a relatively minor effect on reflectance
