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A Citizen Observatory and Innovation Marketplace for Land Use and Land Cover Monitoring

Risultati finali

Definition of citizen-observed and authoritative data collection requirements for LandSense demonstration cases

Report on definition of citizen-observed and authoritative data collection requirements for LandSense demonstration cases

Quality evaluation of citizen-observed data to the LandSense demonstration cases II

Second report on quality evaluation of citizen-observed data to the LandSense demonstration cases. This report will be an update of the findings of D5.4.

Engagement action plans and campaign strategies for LandSense demonstration cases I

Report on engagement action plans and campaign strategies for first iteration of LandSense demonstration cases

Demo 2: Monitoring agricultural land use and provision of value-added agricultural services I

First report on Demo 2: Monitoring agricultural land use and provision of value-added agricultural services

Ecosystem building and service incubator activities I

First report on ecosystem building and service incubator activities

Ecosystem building and service incubator activities II

Second report on ecosystem building and service incubator activities. This report will be an update of the findings of D6.3.

Quality evaluation of citizen-observed data to the LandSense demonstration cases I

First report on quality evaluation of citizen-observed data to the LandSense demonstration cases

Impact and sustainability assessment of the LandSense Citizen Observatory

Report on impact and sustainability assessment of the LandSense Citizen Observatory

LandSense Citizen Observatory user guidelines and training material

Report on LandSense Citizen Observatory user guidelines and training material

Adaptation measures of COBWEB quality assurance service for the LandSense Citizen Observatory

Report on adaptation measures of COBWEB quality assurance service for the LandSense Citizen Observatory

Demo 1: Cost reduction and data conflation in monitoring land change I

First report on Demo 1: Cost reduction and data conflation in monitoring land change

Engagement action plans and campaign strategies for LandSense demonstration cases II

Report on engagement action plans and campaign strategies for second iteration of LandSense demonstration cases. This report will be an update of the findings of D2.2.

Operational workflows for integration of citizen-observed data in authoritative systems

First report on operational workflows for integration of citizen-observed data in authoritative systems

Dissemination tools and communication strategies II

Second report on dissemination tools and communication channels.This report will be an update of the findings of D6.2.

Feedback and Evaluation of LandSense Demonstration Cases - Report II

Second report on feedback and evaluation of LandSense demonstration cases. This report will be an update of the findings of D4.4.

Assessment of user requirements, barriers and engagement strategies for LandSense Citizen Observatory

Report on assessment of user requirements, barriers and engagement strategies for LandSense Citizen Observatory

Demo 2: Monitoring agricultural land use and provision of value-added agricultural services II

Second report on Demo 2: Monitoring agricultural land use and provision of value-added agricultural services. This report will be an update of the findings of D4.2.

Dissemination tools and communication strategies I

First report on dissemination tools and communication channels

Demo 3: Forest and habitat monitoring using innovative technologies II

Second report on Demo 3: Forest and habitat monitoring using innovative technologies. This report will be an update of the findings of D4.3.

Demo 1: Cost reduction and data conflation in monitoring land change II

Second report on Demo 1: Cost reduction and data conflation in monitoring land change. This report will be an update of the findings of D4.1.

Good practice guidelines, protocols and benchmarking standards for quality assurance

Report on good practice guidelines, protocols and benchmarking standards for qualtiy assurance

LandSense engagement platform II

Demonstrator of LandSense engagement platform (updated and optimized)

LandSense engagement platform I

Demonstrator of LandSense engagement platform

Pubblicazioni

Lessons from the LandSense Project

Autori: Moorthy, Inian; Olteanu-Raimond, Ana-Maria; Capellan, Sofia; Matheus, Andreas; See, Linda; Fritz, Steffen
Pubblicato in: Numero 8, 2020
Editore: n/a
DOI: 10.5281/zenodo.4498894

The LandSense Innovation Challenge

Autori: Mrkajić, Vladimir; Nicin, Nemanja; Batič, Matej; Gold, Margaret; Woods, Tim; Moorthy, Inian; See, Linda; Fritz, Steffen
Pubblicato in: Numero 1, 2020
Editore: n/a
DOI: 10.5281/zenodo.4017280

The LandSense Engagement Platform: Connecting citizens with earth observation data to promote environmental monitoring

Autori: Moorthy, I.; See, L.; Batic, M.; Matheus, A.
Pubblicato in: ESA Earth Observation Phi Week, 2018
Editore: N/A

LandSense: A Citizen Observatory and Innovation Marketplace for Land Use and Land Cover Monitoring

Autori: Moorthy, I.; Fritz, S.; See, L.; McCallum, I.
Pubblicato in: European Geosciences Union (EGU) General Assembly, 2017
Editore: N/A

CropSupport CropSupport – a new tool for crowdsourcing of agricultural field level data

Autori: Mrkajic, V.; Vukasovic, S.; Batič, M.; d'Andrimont, R.; Moorthy, I.
Pubblicato in: Living Planet Symposium 2019, 2019
Editore: N/A

The LandSense Engagement Platform: Connecting citizens with earth observation data for Land Use and Land Cover Monitoring

Autori: Moorthy, I.; See, L.; Batič, M.; Matheus, A.; Milčinski, G.; Fritz, S.
Pubblicato in: Living Planet Symposium 2019, 2019
Editore: N/A

The Next Generation Citizen Observatories

Autori: Hemment, D.; Amditis, A.; Fritz, S.; Wehn, U.; Moorthy, I.; Tsertou, A.
Pubblicato in: First International ECSA Citizen Science Conference, 2016
Editore: N/A

Citizen Scientists Monitoring the Environment: The Latest Apps from IIASA

Autori: Laso Bayas, J.C.; Moorthy, I.; Sturn, T.; Karner, M.; Perger, C.; Fraisl, D.; Domian, D.; Gardeazabal, A.; Vargas, L.; Capellan, S.; Danylo, O.; Lesiv, M.; Dürauer, M.; Dresel, C.; Hager, G.; Saad, M.; Subash, A.; Smith, B.; Joshi, N.; Schepaschenko, D.; McCallum, I.; See, L.; Fritz, S.
Pubblicato in: 2nd International Conference Citizen Observatories for natural hazards and Water Management, 2018
Editore: N/A

LandSense: A Citizen Observatory and Innovation Marketplace for Land Use and Land Cover Monitoring

Autori: Moorthy, I.; Fritz, S.; See, L.; McCallum, I.; Laso Bayas, J. C.
Pubblicato in: First International ECSA Citizen Science Conference, Numero 1, 2016
Editore: N/A

Use of Automated Change Detection and VGI Sources for Identifying and Validating Urban Land Use Change

Autori: A.-M. Olteanu-Raimond, L. See, M. Schultz, G. Foody, M. Riffler, T. Gasber, L. Jolivet, A. le Bris, Y. Meneroux, L. Liu, M. Poupée, M. Gombert
Pubblicato in: Remote Sensing, Numero 12/7, 2020, Pagina/e 1186, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs12071186

Towards an Integrated Global Land Cover Monitoring and Mapping System

Autori: Martin Herold, Linda See, Nandin-Erdene Tsendbazar, Steffen Fritz
Pubblicato in: Remote Sensing, Numero 8/12, 2016, Pagina/e 1036, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs8121036

Generating Up-to-Date and Detailed Land Use and Land Cover Maps Using OpenStreetMap and GlobeLand30

Autori: Cidália Fonte, Marco Minghini, Joaquim Patriarca, Vyron Antoniou, Linda See, Andriani Skopeliti
Pubblicato in: ISPRS International Journal of Geo-Information, Numero 6/12, 2017, Pagina/e 125, ISSN 2220-9964
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/ijgi6040125

Highlighting Current Trends in Volunteered Geographic Information

Autori: David Jonietz, Vyron Antonio, Linda See, Alexander Zipf
Pubblicato in: ISPRS International Journal of Geo-Information, Numero 6/12, 2017, Pagina/e 202, ISSN 2220-9964
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/ijgi6070202

LACO-Wiki: A New Online Land Cover Validation Tool Demonstrated Using GlobeLand30 for Kenya

Autori: Linda See, Juan Laso Bayas, Dmitry Schepaschenko, Christoph Perger, Christopher Dresel, Victor Maus, Carl Salk, Juergen Weichselbaum, Myroslava Lesiv, Ian McCallum, Inian Moorthy, Steffen Fritz
Pubblicato in: Remote Sensing, Numero 9/7, 2017, Pagina/e 754, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs9070754

The Role of Citizen Science in Earth Observation

Autori: Steffen Fritz, Cidália Fonte, Linda See
Pubblicato in: Remote Sensing, Numero 9/12, 2017, Pagina/e 357, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs9040357

A global dataset of crowdsourced land cover and land use reference data

Autori: Steffen Fritz, Linda See, Christoph Perger, Ian McCallum, Christian Schill, Dmitry Schepaschenko, Martina Duerauer, Mathias Karner, Christopher Dresel, Juan-Carlos Laso-Bayas, Myroslava Lesiv, Inian Moorthy, Carl F. Salk, Olha Danylo, Tobias Sturn, Franziska Albrecht, Liangzhi You, Florian Kraxner, Michael Obersteiner
Pubblicato in: Scientific Data, Numero 4, 2017, Pagina/e 170075, ISSN 2052-4463
Editore: Springer Nature
DOI: 10.1038/sdata.2017.75

Increasing the Accuracy of Crowdsourced Information on Land Cover via a Voting Procedure Weighted by Information Inferred from the Contributed Data

Autori: Giles Foody, Linda See, Steffen Fritz, Inian Moorthy, Christoph Perger, Christian Schill, Doreen Boyd
Pubblicato in: ISPRS International Journal of Geo-Information, Numero 7/3, 2018, Pagina/e 80, ISSN 2220-9964
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/ijgi7030080

Open land cover from OpenStreetMap and remote sensing

Autori: Michael Schultz, Janek Voss, Michael Auer, Sarah Carter, Alexander Zipf
Pubblicato in: International Journal of Applied Earth Observation and Geoinformation, Numero 63, 2017, Pagina/e 206-213, ISSN 0303-2434
Editore: International Institute for Aerial Survey and Earth Sciences
DOI: 10.1016/j.jag.2017.07.014

Using volunteered geographic information (VGI) in design-based statistical inference for area estimation and accuracy assessment of land cover

Autori: Stephen V. Stehman, Cidália C. Fonte, Giles M. Foody, Linda See
Pubblicato in: Remote Sensing of Environment, Numero 212, 2018, Pagina/e 47-59, ISSN 0034-4257
Editore: Elsevier BV
DOI: 10.1016/j.rse.2018.04.014

Using Citizen Science to Help Monitor Urban Landscape Changes and Drive Improvements

Autori: Karin Wannemacher, Barbara Birli, Tobias Sturn, Richard Stiles, Inian Moorthy, Linda See, Steffen Fritz
Pubblicato in: GI_Forum, Numero 1 journal refereed, 2018, Pagina/e 336-343, ISSN 2308-1708
Editore: Austrian Academy of Sciences Press
DOI: 10.1553/giscience2018_01_s336

An Experimental Framework for Integrating Citizen and Community Science into Land Cover, Land Use, and Land Change Detection Processes in a National Mapping Agency

Autori: Ana-Maria Olteanu-Raimond, Laurence Jolivet, Marie-Dominque Van Damme, Timothée Royer, Ludovic Fraval, Linda See, Tobias Sturn, Mathias Karner, Inian Moorthy, Steffen Fritz
Pubblicato in: Land, Numero 7/3, 2018, Pagina/e 103, ISSN 2073-445X
Editore: MDPI
DOI: 10.3390/land7030103

Targeted Grassland Monitoring at Parcel Level Using Sentinels, Street-Level Images and Field Observations

Autori: Raphaël d’Andrimont, Guido Lemoine, Marijn van der Velde
Pubblicato in: Remote Sensing, Numero 10/8, 2018, Pagina/e 1300, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs10081300

Recent Advances in Forest Observation with Visual Interpretation of Very High-Resolution Imagery

Autori: Dmitry Schepaschenko, Linda See, Myroslava Lesiv, Jean-François Bastin, Danilo Mollicone, Nandin-Erdene Tsendbazar, Lucy Bastin, Ian McCallum, Juan Carlos Laso Bayas, Artem Baklanov, Christoph Perger, Martina Dürauer, Steffen Fritz
Pubblicato in: Surveys in Geophysics, Numero 40/4, 2019, Pagina/e 839-862, ISSN 0169-3298
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10712-019-09533-z

Crowdsourced Street-Level Imagery as a Potential Source of In-Situ Data for Crop Monitoring

Autori: Raphaël d'Andrimont, Momchil Yordanov, Guido Lemoine, Janine Yoong, Kamil Nikel, Marijn van der Velde
Pubblicato in: Land, Numero 7/4, 2018, Pagina/e 127, ISSN 2073-445X
Editore: MDPI
DOI: 10.3390/land7040127

The Value of Stakeholder Mapping to Enhance Co-Creation in Citizen Science Initiatives

Autori: Artemis Skarlatidou, Monika Suskevics, Claudia Göbel, Baiba Prūse, Loreta Tauginiené, Andre Mascarenhas, Marzia Mazzonetto, Alice Sheppard, Judy Barrett, Muki Haklay, Avinoam Baruch, Elina-Aikaterini Moraitopoulou, Kat Austen, Imane Baïz, Aleksandra Berditchevskaia, Eszter Berényi, Simon Hoyte, Lotte Kleijssen, Gitte Kragh, Martine Legris, Alicia Mansilla-Sanchez, Christian Nold, Michalis Vit
Pubblicato in: Citizen Science: Theory and Practice, Numero 4/1, 2019, ISSN 2057-4991
Editore: Ubiquity Press
DOI: 10.5334/cstp.226

Crowdsourcing LUCAS: Citizens Generating Reference Land Cover and Land Use Data with a Mobile App

Autori: Juan Carlos Laso Bayas, Linda See, Hedwig Bartl, Tobias Sturn, Mathias Karner, Dilek Fraisl, Inian Moorthy, Michaela Busch, Marijn van der Velde, Steffen Fritz
Pubblicato in: Land, Numero 9/11, 2020, Pagina/e 446, ISSN 2073-445X
Editore: MDPI
DOI: 10.3390/land9110446

Detecting flowering phenology in oil seed rape parcels with Sentinel-1 and -2 time series

Autori: Raphaël d’Andrimont, Matthieu Taymans, Guido Lemoine, Andrej Ceglar, Momchil Yordanov, Marijn van der Velde
Pubblicato in: Remote Sensing of Environment, Numero 239, 2020, Pagina/e 111660, ISSN 0034-4257
Editore: Elsevier BV
DOI: 10.1016/j.rse.2020.111660

Feedbacks on VGI in-situ campaign for updating LULC data

Autori: Laurence Jolivet, Ana-Maria Olteanu-Raimond, Marie-Dominique Van Damme, Marie Gombert, Simon Fauret, Thierry Saffroy
Pubblicato in: Abstracts of the ICA, Numero 1, 2019, Pagina/e 1-2, ISSN 2570-2106
Editore: Copernicus Publications
DOI: 10.5194/ica-abs-1-152-2019

CLASSIFICATION OF BUILDING FUNCTION USING AVAILABLE SOURCES OF VGI

Autori: C. C. Fonte, M. Minghini, V. Antoniou, J. Patriarca, L. See
Pubblicato in: ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Numero XLII-4, 2018, Pagina/e 209-215, ISSN 2194-9034
Editore: ISPRS
DOI: 10.5194/isprs-archives-XLII-4-209-2018

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