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HomeOperational procedure for multi-temporal assessment of built-up surfaces and volumes in the Global Human Settlement Layer R2023A
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Long-term monitoring of the built-up area is essential for a number of applications. The analysis of growth trends over time allows an ex-ante assessment of policy decisions and can inform the implementation of policies like the monitoring of progress towards achieving the Sustainable Development Goals (SDG’s). At the same time, they can form the basis for future projections and public discussion of sustainable development paths. So far, the joint use of Landsat and Sentinel satellite sensors for long-term built-up surface monitoring was an unsolved task in the state-of-the-art applications of remote sensing data analytics. This study introduces an integrated solution for inferring changes on built-up surfaces from Sentinel-2 MSI images (at 10 m resolution), combined with historical Landsat scenes (at 30 m and 60 m resolution), organized into four epochs 1975, 1990, 2000 and 2014. The objective of this study is two-fold. First, we aim to develop a methodology for estimating multi-temporal global built-up surfaces and volumes that allow for controlled estimates of built-up change in time in rural and urban areas. Secondly, we aim to deliver the multi-temporal assessment of global built-up surfaces and volumes with greater accuracy than in the previous Global Human Settlement Layer (GHSL) products. Our approach relies on stratified multiple-quantization associative rule learning applied to Earth Observation data, object-oriented image processing, and multiple decision support ensemble modelling. Initial assessment of our model show that the built-up surface change predictions of the proposed solution are more accurate than those reported in the previous GHSL data package (GHS-BU R2022A), as well as in other current multi-temporal estimates of built-up surface with worldwide coverage.
- Published:
- Personal author(s): Pesaresi, Martino ; Politis, Panagiotis ; Goch, Katarzyna ; Kemper, Thomas
- Themes: Earth sciences research , Information technology and telecommunications
- Subject: geographical distribution of the population , geographical information system , remote sensing , research report , satellite , sustainable development , urban area , urbanisation
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| ISSN 1831-9424 | ISBN 978-92-68-11541-1 | DOI 10.2760/664949 | Catalogue number KJ-NA-31-811-EN-N |
- Released on EU publications website:
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