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Alpine grasslands and wild ungulate populationsValorising long-term ecosystem research sites and associated in-situ data






SponsorProject Solution providerUser





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Protected Area Managers, Scientists, Environmental Assessment Agencies , restoration EU policyin Colombia, Peru, Ecuador, and Bolivia, National Biodiversity Strategies and Action Plans.







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  • Environmental, biodiversity, pollution
  • Meteo & climate
  • Education, training & research
  • ICT, digital interfaces

Land

Agriculture

Monitoring crops


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Main users of the services provided by the mySite pilot are researchers, site and protected area managers as well as the wider public. The main user is characterised by the need to access information on long-term observations collected on dedicated areas. These are either long-term observation facilities or protected areas. This is reflected either by the research community applying scientific analysis for the given areas or protected area managers informing about the status of areas of interest in order to perform daily management.


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We create and provide data solutions for the farmers and industries that farmers rely on. Farmers, agri-cooperatives, agri-consultants, smart farming service providers, insurance organizations and companies, food & beverage companies, CAP stakeholders (farmers and paying agencies), traders and trading companies are some of already engaged users or potential users/consumers.

Usage of alpha version of Agrowth in the current running cultivation period for the cotton in Greece from several users:

  1. Neuropublic - Gaia Epixirein | Agri-consultants
  2. Farmers Cooperative of Orchomenos
  3. Cotton Farsala | Farmers Cooperative
  4. Farmers Cooperative of Thessaly "THESgi"

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Agrowth platform combines Earth Observation data along with pertinent vegetation indices, soil and weather data. It makes use of state of the art in Artificial Intelligence in order to support smart farming using EO data. Specifically, it provides a crop monitoring service which offers information and/or actionable advice at the parcel level.

In the current alpha version, the available services per parcel are:

  1. Phenology estimation: It estimates the current phenology stage of crop and the fuzzy transition of them in the course of time. Specifically, it provides the percentage of completion of each stage and it indicates the major and minor phenological stage in order to highlight this fuzziness of transition between of them.
  2. Weather Forecast: It visualizes the max and min ambient temperatures per parcel and it interplays with risk.resagri.eu. The user can be transferred at the click to ResAgri’s detailed weather information.
  3. Yield prediction: It predicts the yield in kg/ha, weeks earlier from the harvest.
  4. Vegetation Indices: It provides charts for the evolution of the vegetation indices NDVI, NDWI, PSRI and some crop specific indices.

Furthermore, there are some services for a quick overall view of the state of all available parcels on the map of user.

  1. Overlay Satellite Images: It allows to overlay satellite images (RGB or NDVI) over the users’ parcels for a chosen acquisition date and area of interest.
  2. Phenology Stage: It colors the outline of each parcel with a color equivalent to its major phenology stage.
  3. Crop Classification: It colors the outline of each parcel with a color equivalent to its crop.
  4. Daily sowing map: It provides a heatmap for the sowing period of cotton which estimates daily the risk of sowing in a 2km x 2km spatial grid.

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DEIMS-SDR is a web-catalogue for long-term observation facilities and data and as service adopted by the eLTER network and operated and maintained by the Umweltbundesamt GmbH (Austria). EcoSense is webGIS to visualise spatial and time-series information and as service adopted by the eLTER network and operated and maintained by the BioSense Institute (Serbia)

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Testimony from CottonFarsala about daily sowing map

“Several farmers went on with sowing their parcels even though the sowing maps indicated otherwise. The conditions of the short future were unfavorable and the farmers had to sow for a second time a couple of weeks later.”

Vaggelis Georgolopoulos - Agronomist | Cotton FarsalaDEIMS-SDR and EcoSense provide services for users to document and visualise information on long-term observation facilities as well as data gathered at these locations. EcoSense provides a on-stop interface to access this information and to visualise collected information.User stated "it is a very important new step for DEIMS-SDR and for eLTER!!! Congratulation."


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  • "I need to know when is the best time for sowing”
  • “I need to know when to apply pix (plant growth regulator) on my cotton fields”
  • “I need to know my expected yield early in the year so I can take relevant action”
  • “I need to know the occurrence of an imminent extreme weather event and the appropriate action I should take given the growth stage of my cultivation”

    When dealing with Earth Observation data pipelines as well as scientific analysis the use of in-situ data as well as understanding the context of observation is an important issue. This applies e.g. for the integration and use of in-situ datasets to produce meaningful value added EO data products. Providing services to register and document long-term observation facilities as well as the data collected and providing means to visualise and access them in an easy manner was one of the main aims of the mySite pilot. This should allow for the integration of in-situ data as well as EO data products generated for a given area. This not only supports scientific workflows but also supports the management of selected areas, e.g. protected areas, to support daily management.


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    The main challenge observed it to "monitor and provide effective, timely and frequent consultation over large agricultural areas.”Information on long-term in-situ data is provided via multiple platforms ranging from local offline data descriptions to national network scale metadatabases. Thus, in-situ datasets are not ubiquitously available but must be made findable and accessible, yet conserving associated data rights and licenses. In addition, information on the observation context needs to be provided in order to plan and conduct scientific analysis or plan targeted observation. This also includes to provide sufficient and comprehensive information on relevant long term data sources and observation sites across different domains and biogeographic gradients as well as to provide access to easily retrievable, localised (=site-based), and standardised validated biodiversity and ecosystem data. In order to address these challenges, DEIMS-SDR has been developed to document long-term observation facilities and datasets as well as EcoSense as a visualisation and access interface to support the user needs.


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    DEIMS-SDR is a established registry to document and access information on long-term observation facilities and the resulting datasets. DEIMS-SDR allows to manage and update this information once new data are created and data streams are made available. Via the web-interface information can be discovered using pre-defined filters, search by keywords or using the map search. This information together with EO data products developed by the mySpace pilot are visualised and made available through the EcoSense platform, which is the second service provided and is a one-stop window for users to access information. In addition, a REST-API for DEIMS-SDR as well as targeted applications, like crocotile to link in-situ sites to Sentinel tiles have been developed. By including accurate and up-to-date information in DEIMS-SDR, site coordinators benefit from a greater visibility of their site, platform and data, which can help to attract funding to support site investments. 


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    The benefits of the Agrowth platform are the following:

    • It estimates the current phenology stage of crop and the fuzzy transition of them in the course of time. → Producer/Farmer knows every time in what stage his/her crop is and he/she is able to take action.
    • It provides a heatmap for the sowing period of cotton which estimates daily the risk(high/medium/low) → Producer/Farmer has an indication about the right time of sowing, he/she is able to catch the possible sweet early window of April for cotton sowing.
    • It predicts the yield in kg/ha, weeks earlier from the harvest. → Producer/Farmer has a good estimation of yield weeks earlier.
    • It provides charts for the evolution of the vegetation indices NDVI, NDWI, PSRI and some crop specific indices. → Producer/Farmer has a good indication in order to monitor the vegetation health and the moisture of the crop.
    • It visualizes the max and min ambient temperatures per parcel and it interplays with risk.resagri.eu. →  Producer/Farmer has access to ResAgri’s detailed weather information in a 2km x 2km spatial resolution.

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    Learn more about the service:http:https://deims.orghttps://agrowth.beyond-eocenter.eu/ecosense.biosense.rs; https://elter-crocotile.datalabs.ceh.ac.uk/https://www.youtube.com/watch?v=w8IizVvSYVs

    Learn more about e-shape: www.e-shape.eu

    A question? Contact the Helpdesk: https://helpdesk.e-shape.eu

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