Low cost monitoring with high tech innovators

D-GPS measurements (traditional method for determining sediment height) taken in the field by students.

The Netherlands has laid down guidelines for nature conservation and biodiversity in the Natura2000 Management Plan for Delta Waters. The Dutch waters and delta areas make up two-thirds of the Natura2000 areas and form an important habitat for coastal breeding birds and are indispensable for migratory birds as a resting area and place to forage. For nature management to be more effective, monitoring the dynamics of estuarine nature in the delta management cycle is of great importance. It offers public professionals the opportunity to adapt system designs and/or system interventions.

For project monitoring conventional measuring techniques are used which are often labour-intensive and therefore costly. To make this process more efficient the project Low cost monitoring with high tech innovations looks into the opportunities for new technologies to help make monitoring faster and/or more accurate (HZ 2017). The aim of this project is to investigate whether monitoring nature restoration projects can be made more efficient. The key question is whether the use of new measuring techniques will enable more or different types of data to be collected at lower cost, over larger areas and with better temporal resolutions. In other words, more understanding of the system.

At three locations in the Westerschelde estuary (Baalhoek, Knuitershoek and Perkpolder) experiments have been carried out with innovative measuring techniques to gain a better understanding of factors that influence the functioning of tidal ecosystems. Data from nine key parameters were collected: (1) bird numbers, (2) benthos as bird food, (3) benthos as bioturbator, (4) medium-scale morphology, (5) large-scale morphology, (6) short-term (daily) changes in sediment height, (7) soil density, (8) hydrodynamics: currents / waves and (9) sediment concentrations in water.































Referenties


Onderwerpen

Subprojecten

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Bronnen


Bronnen gemaakt op deze pagina

 Pagina naamTitelAuteur(s)Datum
DK 050 Projectvoorstel LCHT final V3 bvs mve 210617.pdfBestand:DK 050 Projectvoorstel LCHT final V3 bvs mve 210617.pdfProjectvoorstel RAAK Publiek Low cost monitoren met high tech innovatorenAnonymousjuni 22, 2017
Resource Hyperlink 00704Resource Hyperlink 00704João Salvador de PaivaJoão Salvador de Paivamaart 24, 2020

Alle bronnen voor dit project

 Pagina naamTitelAuteur(s)Datum
20180430 Paper Aesop FRAMES.pdfBestand:20180430 Paper Aesop FRAMES.pdfAdaptive planning for flood resilient areas: dealing with complexity in decision-making about multilayered flood risk managementBuijs, J-M., Boelens, L., Bormann, H., Restemeyer, B., Terpstra, T.januari 1, 2018
DK 050 Projectvoorstel LCHT final V3 bvs mve 210617.pdfBestand:DK 050 Projectvoorstel LCHT final V3 bvs mve 210617.pdfProjectvoorstel RAAK Publiek Low cost monitoren met high tech innovatorenAnonymousjuni 22, 2017
Factsheet Acoustic sensor morphology.docxBestand:Factsheet Acoustic sensor morphology.docxFactsheet Acoustic SensorJ. Salvador de Paivajanuari 29, 2021
Factsheet DGPS leveling morphology.docxBestand:Factsheet DGPS leveling morphology.docxFactsheet DGPS-RTKJ. Salvador de Paivajanuari 29, 2021
Factsheet Electro-resistivity sensor morphology.docxBestand:Factsheet Electro-resistivity sensor morphology.docxFactsheet Electro-resistivity sensorJ. Salvador de Paivajanuari 29, 2021
Factsheet PEEP morphology.docxBestand:Factsheet PEEP morphology.docxFactsheet PEEPJ. Salvador de Paivajanuari 29, 2021
Factsheet SED sensor morphology.docxBestand:Factsheet SED sensor morphology.docxFactsheet Sediment (SED) sensorJ. Salvador de Paivajanuari 29, 2021
Factsheet SFM morphology.docxBestand:Factsheet SFM morphology.docxFactsheet SFM MorphologyJ. Salvador de Paivajanuari 29, 2021
Factsheet airborne LIDAR morphology.docxBestand:Factsheet airborne LIDAR morphology.docxFactsheet Airborne LIDARJ. Salvador de Paivajanuari 29, 2021
Factsheet erosion pin2 morphology.docxBestand:Factsheet erosion pin2 morphology.docxFactsheet Erosion pinJ. Salvador de Paivajanuari 29, 2021
Factsheet telescope.docxBestand:Factsheet telescope.docxFactsheet TelescopeJ. Salvador de Paivajanuari 29, 2021
Factsheet wild camera.docxBestand:Factsheet wild camera.docxFactsheet Wild CameraJ. Salvador de Paivajanuari 29, 2021
FinalPres InternshipInTheUnderwaterLab 24.06.2021.pdfBestand:FinalPres InternshipInTheUnderwaterLab 24.06.2021.pdfInnovative monitoring of subtidal environment in the UnderwaterLabTim van Oijenmei 31, 2021
Frames pilotbook april 2017.pdfBestand:Frames pilotbook april 2017.pdfFrames pilotsInterregapril 1, 2017
LCHT Onderwaterlab Tim van Oijen.pdfBestand:LCHT Onderwaterlab Tim van Oijen.pdfLCHT final symposium subtidal Tim van OijenTim van Oijenmei 31, 2021
LCHT intro Tjeerd Bouma.pdfBestand:LCHT intro Tjeerd Bouma.pdfLCHT Project Introduction by lector Tjeerd BoumaTjeerd Boumamei 31, 2021
LCHT presentation Joao.pdfBestand:LCHT presentation Joao.pdfLCHT presentation techniques intertidal JoaoJ. Salvador de Paivamei 31, 2021
Resource Hyperlink 00704Resource Hyperlink 00704João Salvador de PaivaJoão Salvador de Paivamaart 24, 2020
Resource Hyperlink 00818Resource Hyperlink 00818Website NV Economisch Impuls ZeelandImpuls Zeelandoktober 9, 2020
Resource Hyperlink 00825Resource Hyperlink 00825Introducing IUCN red listBirdlife Internationalseptember 8, 2010
Resource Hyperlink 00826Resource Hyperlink 00826Natura 2000European Commissionaugustus 27, 2020
Resource Hyperlink 00827Resource Hyperlink 00827Into the OkavangoNational Geograpicapril 22, 2018
Resource Hyperlink 00828Resource Hyperlink 00828Will drones reduce investigator disturbance to surface-nesting seabirds?Borelle and Fletchermaart 7, 2017
Resource Hyperlink 00831Resource Hyperlink 00831Fine‐scale bird monitoring from light unmanned aircraft systemsSarda Palomera et al.november 7, 2011
Resource Hyperlink 00832Resource Hyperlink 00832Unmanned aircraft systems to unravel spatial and temporal factors affecting dynamics of colony formation and nesting success in birdsSardà-Palomera et al.mei 30, 2017
Resource Hyperlink 00833Resource Hyperlink 00833Population Census of a Large Common Tern Colony with a Small Unmanned AircraftChabot et al.april 15, 2015
Resource Hyperlink 00834Resource Hyperlink 00834Environmental Reviews and Case Studies: Applications of Unmanned Aircraft Systems (UAS) for Waterbird SurveysDulava et al.februari 16, 2015
Resource Hyperlink 00835Resource Hyperlink 00835A small unmanned aerial system for estimating abundance and size of Antarctic predatorsGoebel et al.februari 8, 2015
Resource Hyperlink 00836Resource Hyperlink 00836A protocol for the aerial survey of penguin colonies using UAVsRatcliffe et almaart 31, 2015
Resource Hyperlink 00837Resource Hyperlink 00837Measuring the influence of unmanned aerial vehicles on Adélie penguinsRümmler et alnovember 26, 2015
Resource Hyperlink 00838Resource Hyperlink 00838Evaluation of an off-the-shelf Unmanned Aircraft System for Surveying Flocks of GeeseChabot and Birdmaart 1, 2012
Resource Hyperlink 00924Resource Hyperlink 00924Onderzoeksverantwoording ZBpanel (2017)ZBmei 19, 2021
Resource Hyperlink 00973Resource Hyperlink 00973LCHT Final SymposiumJ. Salvador de Paivamei 31, 2021

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