Earth Observation Data-Driven Cropland Soil Monitoring: A Review

We conducted a systematic review and inventory of recent research achievements related to spaceborne and aerial Earth Observation (EO) data-driven monitoring in support of soil-related strategic goals for a three-year period (2019–2021). Scaling, resolution, data characteristics, and modelling appro...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Nikolaos Tziolas, Nikolaos Tsakiridis, Sabine Chabrillat, José A. M. Demattê, Eyal Ben-Dor, Asa Gholizadeh, George Zalidis, Bas van Wesemael
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	deep learning soil organic carbon earth observation spectral signatures carbon farming hyperspectral Science Q
Acceso en línea:	https://doaj.org/article/716094acd77047b99c4e7c1efb851f39
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:716094acd77047b99c4e7c1efb851f39
record_format	dspace
spelling	oai:doaj.org-article:716094acd77047b99c4e7c1efb851f392021-11-11T18:56:46ZEarth Observation Data-Driven Cropland Soil Monitoring: A Review10.3390/rs132144392072-4292https://doaj.org/article/716094acd77047b99c4e7c1efb851f392021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/21/4439https://doaj.org/toc/2072-4292We conducted a systematic review and inventory of recent research achievements related to spaceborne and aerial Earth Observation (EO) data-driven monitoring in support of soil-related strategic goals for a three-year period (2019–2021). Scaling, resolution, data characteristics, and modelling approaches were summarized, after reviewing 46 peer-reviewed articles in international journals. Inherent limitations associated with an EO-based soil mapping approach that hinder its wider adoption were recognized and divided into four categories: (i) area covered and data to be shared; (ii) thresholds for bare soil detection; (iii) soil surface conditions; and (iv) infrastructure capabilities. Accordingly, we tried to redefine the meaning of what is expected in the next years for EO data-driven topsoil monitoring by performing a thorough analysis driven by the upcoming technological waves. The review concludes that the best practices for the advancement of an EO data-driven soil mapping include: (i) a further leverage of recent artificial intelligence techniques to achieve the desired representativeness and reliability; (ii) a continued effort to share harmonized labelled datasets; (iii) data fusion with in situ sensing systems; (iv) a continued effort to overcome the current limitations in terms of sensor resolution and processing limitations of this wealth of EO data; and (v) political and administrative issues (e.g., funding, sustainability). This paper may help to pave the way for further interdisciplinary research and multi-actor coordination activities and to generate EO-based benefits for policy and economy.Nikolaos TziolasNikolaos TsakiridisSabine ChabrillatJosé A. M. DemattêEyal Ben-DorAsa GholizadehGeorge ZalidisBas van WesemaelMDPI AGarticledeep learningsoil organic carbonearth observationspectral signaturescarbon farminghyperspectralScienceQENRemote Sensing, Vol 13, Iss 4439, p 4439 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	deep learning soil organic carbon earth observation spectral signatures carbon farming hyperspectral Science Q
spellingShingle	deep learning soil organic carbon earth observation spectral signatures carbon farming hyperspectral Science Q Nikolaos Tziolas Nikolaos Tsakiridis Sabine Chabrillat José A. M. Demattê Eyal Ben-Dor Asa Gholizadeh George Zalidis Bas van Wesemael Earth Observation Data-Driven Cropland Soil Monitoring: A Review
description	We conducted a systematic review and inventory of recent research achievements related to spaceborne and aerial Earth Observation (EO) data-driven monitoring in support of soil-related strategic goals for a three-year period (2019–2021). Scaling, resolution, data characteristics, and modelling approaches were summarized, after reviewing 46 peer-reviewed articles in international journals. Inherent limitations associated with an EO-based soil mapping approach that hinder its wider adoption were recognized and divided into four categories: (i) area covered and data to be shared; (ii) thresholds for bare soil detection; (iii) soil surface conditions; and (iv) infrastructure capabilities. Accordingly, we tried to redefine the meaning of what is expected in the next years for EO data-driven topsoil monitoring by performing a thorough analysis driven by the upcoming technological waves. The review concludes that the best practices for the advancement of an EO data-driven soil mapping include: (i) a further leverage of recent artificial intelligence techniques to achieve the desired representativeness and reliability; (ii) a continued effort to share harmonized labelled datasets; (iii) data fusion with in situ sensing systems; (iv) a continued effort to overcome the current limitations in terms of sensor resolution and processing limitations of this wealth of EO data; and (v) political and administrative issues (e.g., funding, sustainability). This paper may help to pave the way for further interdisciplinary research and multi-actor coordination activities and to generate EO-based benefits for policy and economy.
format	article
author	Nikolaos Tziolas Nikolaos Tsakiridis Sabine Chabrillat José A. M. Demattê Eyal Ben-Dor Asa Gholizadeh George Zalidis Bas van Wesemael
author_facet	Nikolaos Tziolas Nikolaos Tsakiridis Sabine Chabrillat José A. M. Demattê Eyal Ben-Dor Asa Gholizadeh George Zalidis Bas van Wesemael
author_sort	Nikolaos Tziolas
title	Earth Observation Data-Driven Cropland Soil Monitoring: A Review
title_short	Earth Observation Data-Driven Cropland Soil Monitoring: A Review
title_full	Earth Observation Data-Driven Cropland Soil Monitoring: A Review
title_fullStr	Earth Observation Data-Driven Cropland Soil Monitoring: A Review
title_full_unstemmed	Earth Observation Data-Driven Cropland Soil Monitoring: A Review
title_sort	earth observation data-driven cropland soil monitoring: a review
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/716094acd77047b99c4e7c1efb851f39
work_keys_str_mv	AT nikolaostziolas earthobservationdatadrivencroplandsoilmonitoringareview AT nikolaostsakiridis earthobservationdatadrivencroplandsoilmonitoringareview AT sabinechabrillat earthobservationdatadrivencroplandsoilmonitoringareview AT joseamdematte earthobservationdatadrivencroplandsoilmonitoringareview AT eyalbendor earthobservationdatadrivencroplandsoilmonitoringareview AT asagholizadeh earthobservationdatadrivencroplandsoilmonitoringareview AT georgezalidis earthobservationdatadrivencroplandsoilmonitoringareview AT basvanwesemael earthobservationdatadrivencroplandsoilmonitoringareview
_version_	1718431651333144576

Earth Observation Data-Driven Cropland Soil Monitoring: A Review

Ejemplares similares