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Remote Sensing for Short-Term Economic Forecasts

Author

Listed:
  • Carsten Juergens

    (Geomatics Group, Geography Department, Ruhr University Bochum, 44801 Bochum, Germany)

  • Fabian M. Meyer-Heß

    (Geomatics Group, Geography Department, Ruhr University Bochum, 44801 Bochum, Germany)

  • Marcus Goebel

    (Geomatics Group, Geography Department, Ruhr University Bochum, 44801 Bochum, Germany)

  • Torsten Schmidt

    (RWI—Leibniz-Institut für Wirtschaftsforschung e.V., 45128 Essen, Germany)

Abstract

Economic forecasts are an important instrument to judge the nation-wide economic situation. Such forecasts are mainly based on data from statistical offices. However, there is a time lag between the end of the reporting period and the release of the statistical data that arises for instance from the time needed to collect and process the data. To improve the forecasts by reducing the delay, it is of interest to find alternative data sources that provide information on economic activity without significant delays. Among others, satellite images are thought to assist here. This paper addresses the potential of earth observation imagery for short-term economic forecasts. The study is focused on the estimation of investments in the construction sector based on high resolution (HR) (10–20 m) and very high resolution (VHR) (0.3–0.5 m) images as well as on the estimation of investments in agricultural machinery based on orthophotos (0.1 m) simulating VHR satellite imagery. By applying machine learning it is possible to extract the objects of interest to a certain extent. For the detection of construction areas, VHR satellite images are much better suited than HR satellite images. VHR satellite images with a ground resolution of 30–50 cm are able to identify agricultural machinery. These results are promising and provide new and unconventional input for economic forecasting models.

Suggested Citation

  • Carsten Juergens & Fabian M. Meyer-Heß & Marcus Goebel & Torsten Schmidt, 2021. "Remote Sensing for Short-Term Economic Forecasts," Sustainability, MDPI, vol. 13(17), pages 1-23, August.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:17:p:9593-:d:622200
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    References listed on IDEAS

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    1. José A. Carrasco-Gallego, 2020. "Real Estate, Economic Stability and the New Macro-Financial Policies," Sustainability, MDPI, vol. 13(1), pages 1-19, December.
    2. Yafei Wang & Xiaoli Zhao & Lijun Zuo & Zengxiang Zhang & Xiao Wang & Ling Yi & Fang Liu & Jinyong Xu, 2020. "Spatial Differentiation of Land Use and Landscape Pattern Changes in the Beijing–Tianjin–Hebei Area," Sustainability, MDPI, vol. 12(7), pages 1-15, April.
    3. Ademmer, Martin & Beckmann, Joscha & Bode, Eckhardt & Boysen-Hogrefe, Jens & Funke, Manuel & Hauber, Philipp & Heidland, Tobias & Hinz, Julian & Jannsen, Nils & Kooths, Stefan & Söder, Mareike & Stame, 2021. "Big Data in der makroökonomischen Analyse," Kieler Beiträge zur Wirtschaftspolitik 32, Kiel Institute for the World Economy (IfW Kiel).
    4. Frédérick Demers, 2005. "Modelling and Forecasting Housing Investment: The Case of Canada," Staff Working Papers 05-41, Bank of Canada.
    5. Goodness C. Aye & Stephen M. Miller & Rangan Gupta & Mehmet Balcilar, 2016. "Forecasting US real private residential fixed investment using a large number of predictors," Empirical Economics, Springer, vol. 51(4), pages 1557-1580, December.
    6. J. Vernon Henderson & Adam Storeygard & David N. Weil, 2012. "Measuring Economic Growth from Outer Space," American Economic Review, American Economic Association, vol. 102(2), pages 994-1028, April.
    7. Lunsford, Kurt G., 2015. "Forecasting residential investment in the United States," International Journal of Forecasting, Elsevier, vol. 31(2), pages 276-285.
    8. Agnello, Luca & Schuknecht, Ludger, 2011. "Booms and busts in housing markets: Determinants and implications," Journal of Housing Economics, Elsevier, vol. 20(3), pages 171-190, September.
    9. Wesam Salah Alaloul & Muhammad Ali Musarat & Muhammad Babar Ali Rabbani & Qaiser Iqbal & Ahsen Maqsoom & Waqas Farooq, 2021. "Construction Sector Contribution to Economic Stability: Malaysian GDP Distribution," Sustainability, MDPI, vol. 13(9), pages 1-26, April.
    10. S. Thomas Ng & Ryan Fan & James Wong, 2011. "An econometric model for forecasting private construction investment in Hong Kong," Construction Management and Economics, Taylor & Francis Journals, vol. 29(5), pages 519-534.
    11. Christian Leßmann & André Seidel & Arne Steinkraus, 2015. "Satellitendaten zur Schätzung von Regionaleinkommen – Das Beispiel Deutschland," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 22(06), pages 35-42, December.
    12. Dave Donaldson & Adam Storeygard, 2016. "The View from Above: Applications of Satellite Data in Economics," Journal of Economic Perspectives, American Economic Association, vol. 30(4), pages 171-198, Fall.
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    Cited by:

    1. Mayank Dixit & Kuldeep Chaurasia & Vipul Kumar Mishra & Dilbag Singh & Heung-No Lee, 2022. "6+: A Novel Approach for Building Extraction from a Medium Resolution Multi-Spectral Satellite," Sustainability, MDPI, vol. 14(3), pages 1-15, January.

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