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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Odile Close & Beaumont Benjamin & Sophie Petit & Xavier Fripiat & Eric Hallot, 2018. "Use of Sentinel-2 and LUCAS Database for the Inventory of Land Use, Land Use Change, and Forestry in Wallonia, Belgium," Land, MDPI, vol. 7(4), pages 1-16, December.
    • Handle: RePEc:gam:jlands:v:7:y:2018:i:4:p:154-:d:188996
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    References listed on IDEAS

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    1. Nicola Clerici & Cesar Augusto Valbuena Calderón & Juan Manuel Posada, 2017. "Fusion of Sentinel-1A and Sentinel-2A data for land cover mapping: a case study in the lower Magdalena region, Colombia," Journal of Maps, Taylor & Francis Journals, vol. 13(2), pages 718-726, November.
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    Cited by:

    1. Nicola Puletti & Marco Bascietto, 2019. "Towards a Tool for Early Detection and Estimation of Forest Cuttings by Remotely Sensed Data," Land, MDPI, vol. 8(4), pages 1-11, April.
    2. Ioannis Manakos & Garik Gutman & Chariton Kalaitzidis, 2021. "Monitoring Land Cover Change: Towards Sustainability," Land, MDPI, vol. 10(12), pages 1-2, December.
    3. Roxana-Gabriela Popa & Emil-Cătălin Șchiopu & Aniela Bălăcescu & Luminița-Georgeta Popescu & Aurelia Pătrașcu, 2023. "Assessment of Soil Sustainability Using the LUCAS Database in the Southwest Region of Romania," Sustainability, MDPI, vol. 15(11), pages 1-20, May.
    4. Deriaz Jennifer & Ciglič Rok & Ferk Mateja & Loczy Dénes, 2019. "The Influence of Different Levels of Data Detail on Land use Change Analyses: A Case Study of Franciscan Cadastre for a Part of the Pannonian Hills, Slovenia," European Countryside, Sciendo, vol. 11(3), pages 298-316, September.
    5. Sophie Petit & Mattia Stasolla & Coraline Wyard & Gérard Swinnen & Xavier Neyt & Eric Hallot, 2022. "A New Earth Observation Service Based on Sentinel-1 and Sentinel-2 Time Series for the Monitoring of Redevelopment Sites in Wallonia, Belgium," Land, MDPI, vol. 11(3), pages 1-21, March.
    6. Odile Close & Sophie Petit & Benjamin Beaumont & Eric Hallot, 2021. "Evaluating the Potentiality of Sentinel-2 for Change Detection Analysis Associated to LULUCF in Wallonia, Belgium," Land, MDPI, vol. 10(1), pages 1-23, January.
    7. Babak Ghassemi & Markus Immitzer & Clement Atzberger & Francesco Vuolo, 2022. "Evaluation of Accuracy Enhancement in European-Wide Crop Type Mapping by Combining Optical and Microwave Time Series," Land, MDPI, vol. 11(9), pages 1-15, August.

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