Fusing Earth Observation, Volunteered Geographic Information and Artificial Intelligence for improved Land Management

The ever-growing availability of Earth Observation (EO) data is demonstrating a wide range of potential applications in the realm of land management. On the other hand, large volumes of data need to be handled and analysed to extract meaningful information and Geomatics coupled with new approaches...

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Autores principales:	Vyron Antoniou, Flavio Lupia
Formato:	article
Lenguaje:	EN IT
Publicado:	mediaGEO soc. coop. 2020
Materias:	Earth observation VGI machine learning deep learning digital agriculture land management Cartography GA101-1776 Cadastral mapping GA109.5
Acceso en línea:	https://doaj.org/article/ce1372e7b0364dd686fb41d61fa2647e
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spelling	oai:doaj.org-article:ce1372e7b0364dd686fb41d61fa2647e2021-11-09T17:42:27ZFusing Earth Observation, Volunteered Geographic Information and Artificial Intelligence for improved Land Management10.48258/geo.v1i3.17271128-81322283-5687https://doaj.org/article/ce1372e7b0364dd686fb41d61fa2647e2020-09-01T00:00:00Zhttps://www.mediageo.it/ojs/index.php/GEOmedia/article/view/1727https://doaj.org/toc/1128-8132https://doaj.org/toc/2283-5687 The ever-growing availability of Earth Observation (EO) data is demonstrating a wide range of potential applications in the realm of land management. On the other hand, large volumes of data need to be handled and analysed to extract meaningful information and Geomatics coupled with new approaches such as Artificial Intelligence (AI) and Machine Learning (AI) will play a pivotal role in the years to come. Training datasets need to be developed to use these new models and Volunteered Geographic Information can be one of the promising sources for EO processing. Among the various applications, agriculture may benefit from the large dataset availability and AI processing. However, several issues remain unsolved and further steps should be taken in the near future by researchers and policy makers. Vyron AntoniouFlavio LupiamediaGEO soc. coop.articleEarth observationVGImachine learningdeep learningdigital agricultureland managementCartographyGA101-1776Cadastral mappingGA109.5ENITGEOmedia, Vol 24, Iss 3 (2020)
institution	DOAJ
collection	DOAJ
language	EN IT
topic	Earth observation VGI machine learning deep learning digital agriculture land management Cartography GA101-1776 Cadastral mapping GA109.5
spellingShingle	Earth observation VGI machine learning deep learning digital agriculture land management Cartography GA101-1776 Cadastral mapping GA109.5 Vyron Antoniou Flavio Lupia Fusing Earth Observation, Volunteered Geographic Information and Artificial Intelligence for improved Land Management
description	The ever-growing availability of Earth Observation (EO) data is demonstrating a wide range of potential applications in the realm of land management. On the other hand, large volumes of data need to be handled and analysed to extract meaningful information and Geomatics coupled with new approaches such as Artificial Intelligence (AI) and Machine Learning (AI) will play a pivotal role in the years to come. Training datasets need to be developed to use these new models and Volunteered Geographic Information can be one of the promising sources for EO processing. Among the various applications, agriculture may benefit from the large dataset availability and AI processing. However, several issues remain unsolved and further steps should be taken in the near future by researchers and policy makers.
format	article
author	Vyron Antoniou Flavio Lupia
author_facet	Vyron Antoniou Flavio Lupia
author_sort	Vyron Antoniou
title	Fusing Earth Observation, Volunteered Geographic Information and Artificial Intelligence for improved Land Management
title_short	Fusing Earth Observation, Volunteered Geographic Information and Artificial Intelligence for improved Land Management
title_full	Fusing Earth Observation, Volunteered Geographic Information and Artificial Intelligence for improved Land Management
title_fullStr	Fusing Earth Observation, Volunteered Geographic Information and Artificial Intelligence for improved Land Management
title_full_unstemmed	Fusing Earth Observation, Volunteered Geographic Information and Artificial Intelligence for improved Land Management
title_sort	fusing earth observation, volunteered geographic information and artificial intelligence for improved land management
publisher	mediaGEO soc. coop.
publishDate	2020
url	https://doaj.org/article/ce1372e7b0364dd686fb41d61fa2647e
work_keys_str_mv	AT vyronantoniou fusingearthobservationvolunteeredgeographicinformationandartificialintelligenceforimprovedlandmanagement AT flaviolupia fusingearthobservationvolunteeredgeographicinformationandartificialintelligenceforimprovedlandmanagement
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Fusing Earth Observation, Volunteered Geographic Information and Artificial Intelligence for improved Land Management

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