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Soil Organic Carbon Modelling with Digital Soil Mapping and Remote Sensing for Permanently Vegetated Areas

descriptionPublicationkeyboard_double_arrow_right Conference object , Article , Other literature type 11 Jul 2021 Netherlands Publisher:IEEEJournal:2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS

Authors: Poggio, Laura; Sousa, Luis De; Genova, Giulio; D'Angelo, Pablo; Schwind, Peter; Heiden, Uta;

doi: 10.1109/igarss47720.2021.9555174

Soil Organic Carbon Modelling with Digital Soil Mapping and Remote Sensing for Permanently Vegetated Areas

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Abstract

Soil organic matter is essential for preserving and maintaining a range of soil and ecosystem functions as well as supply and store carbon for climate change mitigation. Digital Soil Mapping techniques will be used to obtain a spatially continuous product, especially over permanently vegetated areas. Recently available satellite remote sensing data, with among other systems the Copernicus Sentinel, will be used as input for environmental covariates. Digital Soil Mapping, coupled together with Remote Sensing products, is a powerful tool to produce soil properties maps and monitoring the changes in soil conditions over time.

Country

Netherlands

Related Organizations

German Aerospace Center
Germany
Wageningen University & Research
Netherlands
Accademia Europea di Bolzano
Italy
Accademia Europea di Bolzano
Italy
Free University of Bozen-Bolzano
Italy

Keywords

Tools, Soil, Satellites, Sensors, Climate change, Soil properties, Ecosystems

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	2
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average