Use of Sentinel-2 and LUCAS Database for the Inventory of Land Use, Land Use Change, and Forestry in Wallonia, Belgium

Odile Close, Beaumont Benjamin, Sophie Petit, Xavier Fripiat and Eric Hallot
Additional contact information
Odile Close: Scientific Institute of Public Service (ISSeP), rue du chéra 200, 4000 Liege, Belgium
Beaumont Benjamin: Scientific Institute of Public Service (ISSeP), rue du chéra 200, 4000 Liege, Belgium
Sophie Petit: Scientific Institute of Public Service (ISSeP), rue du chéra 200, 4000 Liege, Belgium
Xavier Fripiat: Walloon Air and Climate Agency (AwAC), Avenue du Prince de Liege 7, 5100 Jambes, Belgium
Eric Hallot: Scientific Institute of Public Service (ISSeP), rue du chéra 200, 4000 Liege, Belgium

Land, 2018, vol. 7, issue 4, 1-16

Abstract: 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 Area frame statistical Survey (LUCAS) of 2015 was used as training data and reference data to validate the map produced. Then, we investigated the performance of four widely used classifiers (maximum likelihood, random forest, k -nearest neighbor, and minimum distance) on different training sample sizes. We also studied the use of the rich spectral information of Sentinel-2 data as well as single-date and multitemporal classification. Our study illustrates how open source data can be effectively used for land use and land cover classification. This classification, based on Sentinel-2 and LUCAS, offers new opportunities for LULUCF inventory of greenhouse gas on a European scale.

Keywords: Sentinel-2; LUCAS; supervised classification; land use land use change and forestry (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:7:y:2018:i:4:p:154-:d:188996

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