Leistungen
The structure of DSS will be defined along with a list of components
Software tool with algorithms to model the use of land and the quality of the soil due to the use of the land
functional interface for digital soil mapping first version
Creation of thematic maps of soil and crop characteristics including crop yield
Methodology and algorithms for the delineation of management zones
Formation of the Dissemination and communication strategy/plan, including project communication and dissemination objectives, strategy and planned activities; as well as the target groups as well as dissemination actions, channels and tools that will be deployed to reach these groups
Identification of available information resources to populate the Eurasian soil platform. We are going to describe available data with metadata.
Identification of links to and between data themselves the Eurasian soil platform. Linking of information resources initial setup.
Procedures detailing the way gender issues are planned to be handled in SIEUSOIL
Spatio-temporal yield variability mapping
Validation procedures definition with the end users
Inventory of information resources concerns query interface and database structure. D1.10 focuses directly on a dataset level. Based on the, so-called semantic Web approach, it uses specific kind of databases (triple store) to online query data originating from various databases. Benefits lie in a combination of relevant soil data on the European and the Chinese sides.
Visual and analytical means (diagrams, spreadsheets, and indicators, SIEUSOIL DSS components) to analyse the outcomes
A detailed report of the activities that took place towards the formation of SIEUSOIL network of interest (first invited members coming from JRC and FAO), future roadmap and activities planned as well as a list of potential organization/members/ representatives to be invited. Establishment of a communication channel among the members and first draft of potential to be exploited synergies.
Report detailing the users and stakeholders involved in the project
Indicators of biophysical status for soil and crop condition from remote and proximal sensors
Information resources update for populating the Eurasian soil platform. The identified data are not usually static. We are therefore going to update the metadata e.g. if a dataset will cease or if we will identify new datasets/new datasets will emerge. D1.5 documents available data with metadata as described above. Traditional (relational) database approach will be used. The up-to-date status will be delivered in D1.5 in M18.
Calibrated models that can predict soil indicators (quality, physical and fertility) from the spectral response of soil
Linking information resources at an advanced level allowing fusion of information. The identified links are not usually static. We are therefore going to update the links e.g. if a link will cease or if we will identify new links. The up-to-date status will be delivered.
Report on the Eurasian soil information platform initial version
Describes the influence of soil management of soil quality and function including changes in carbon and N, P and K.
Pilot fieldsand end users including documentation of co-creation process and details of implementation
A detailed report of planned and performed dissemination and communication activities within M01-M18; including an update of the Dissemination & Communication plan for the next period.
Indicators and methods definition for socio-economic factors and policy setting
Teh deliverable will create an Inventory of parameters for suitability land-based evaluation
Procedures and methods for data preservation and repositing of data emanating from the project
The development of SIEUSOIL communication tools and first set of informative materials (promotional material, multi-lingual project website, social media accounts).
Veröffentlichungen
Autoren: Řezník, Pavelka, Herman, Leitgeb, Lukas, Širůček
Veröffentlicht in: Sensors, 19/22, 2019, Page(s) 4879, ISSN 1424-8220
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s19224879
Autoren: Tomáš Řezník, Petr Kubíček, Lukáš Herman, Tomáš Pavelka, Šimon Leitgeb, Martina Klocová, Filip Leitner
Veröffentlicht in: Applied Sciences, 10/17, 2020, Page(s) 6132, ISSN 2076-3417
Herausgeber: MDPI
DOI: 10.3390/app10176132
Autoren: S. Hamed Javadi, Angela Guerrero, Abdul M. Mouazen
Veröffentlicht in: Neural Computing and Applications, 33/9, 2021, Page(s) 4217-4228, ISSN 0941-0643
Herausgeber: Springer Verlag
DOI: 10.1007/s00521-020-05253-3
Autoren: S. Hamed Javadi, Muhammad Abdul Munnaf, Abdul M. Mouazen
Veröffentlicht in: Geoderma, 385, 2021, Page(s) 114851, ISSN 0016-7061
Herausgeber: Elsevier BV
DOI: 10.1016/j.geoderma.2020.114851
Autoren: Tomáš Řezník, Milan Konečný, Karel Charvát
Veröffentlicht in: Abstracts of the ICA, 1, 2019, Page(s) 1-2, ISSN 2570-2106
Herausgeber: International Cartographic Association
DOI: 10.5194/ica-abs-1-312-2019
Autoren: Tomáš Řezník, Tomáš Pavelka, Lukáš Herman, Vojtěch Lukas, Petr Širůček, Šimon Leitgeb, Filip Leitner
Veröffentlicht in: Remote Sensing, 12/12, 2020, Page(s) 1917, ISSN 2072-4292
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs12121917
Autoren: Tomáš Řezník, Lukáš Herman, Kateřina Trojanová, Tomáš Pavelka, Šimon Leitgeb
Veröffentlicht in: Environmental Software Systems. Data Science in Action - 13th IFIP WG 5.11 International Symposium, ISESS 2020, Wageningen, The Netherlands, February 5–7, 2020, Proceedings, 554, 2020, Page(s) 258-270, ISBN 978-3-030-39814-9
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-39815-6_25
Software
Autoren: Kepka, Michal; Kožuch, Dmitrij; Hájek, Pavel; Řezník, Tomáš; Charvát, Karel; Chytrý, Jan; Mildorf, Tomáš
DOI: 10.5281/zenodo.6484843
Herausgeber: Zenodo
Autoren: Kepka, Michal; Kožuch, Dmitrij; Hájek, Pavel; Řezník, Tomáš; Charvát, Karel; Chytrý, Jan; Mildorf, Tomáš
DOI: oai:zenodo.org:6484843; 10.5281/zenodo.6484843
Herausgeber: Zenodo