Use of Sentinel-2 and LUCAS Database for the Inventory of Land Use, Land Use Change, and Forestry in Wallonia, Belgium
Due to its cost-effectiveness and repeatability of observations, high resolution optical satellite remote sensing has become a major technology for land use and land cover mapping. However, inventory compilers for the Land Use, Land Use Change, and Forestry (LULUCF) sector are still mostly relying on annual census and periodic surveys for such inventories. This study proposes a new approach based on per-pixel supervised classification using Sentinel-2 imagery from 2016 for mapping greenhouse gas emissions and removals associated with the LULUCF sector in Wallonia, Belgium. The Land Use/Cover A... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2018 |
Reihe/Periodikum: | Land, Vol 7, Iss 4, p 154 (2018) |
Verlag/Hrsg.: |
MDPI AG
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Schlagwörter: | Sentinel-2 / LUCAS / supervised classification / land use land use change and forestry / Agriculture / S |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26612694 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://doi.org/10.3390/land7040154 |