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<p>We quantify historical land-use with deep learning image segmentation (GeoAI), applied to tiled historical maps, and identify 3 successive drivers of long-term (1774-2022) landscape transformation in northern Belgium (13,800 km<sup>2</sup>). Between 1774 and 1873, reclamation halved the area of long-established forests, heathland, marshland, and the intertidal zone, i.e. natural and semi-natural land-use. Agricultural transition by globalization was the main driver in the next time interval (1873-1969), as the area of grassland and orchard doubled at the expense of arable land. Urbanization marked the last time interval (1969-2022) and reduced agricultural land-use. The reclamation of fertile soils first increased the association of land-use with soil, but after 1873 this association progressively weakened and land-use interspersed. Here, we demonstrate that GeoAI can generate high-resolution area-wide historical land-use maps to study the extent and rate of landscape transformation, which in our case resulted in the homogenization of previously distinct landscapes.</p>

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Homogenization of Northern Belgian landscapes through centuries of reclamation, agricultural transition, and urbanization

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年1月21日

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  • Luc De Keersmaeker,
  • Pieter Roggemans,
  • Lien Poelmans,
  • Frederik Priem,
  • Stijn Taillir,
  • Toon Petermans,
  • Jo Van Valckenborgh

摘要

We quantify historical land-use with deep learning image segmentation (GeoAI), applied to tiled historical maps, and identify 3 successive drivers of long-term (1774-2022) landscape transformation in northern Belgium (13,800 km2). Between 1774 and 1873, reclamation halved the area of long-established forests, heathland, marshland, and the intertidal zone, i.e. natural and semi-natural land-use. Agricultural transition by globalization was the main driver in the next time interval (1873-1969), as the area of grassland and orchard doubled at the expense of arable land. Urbanization marked the last time interval (1969-2022) and reduced agricultural land-use. The reclamation of fertile soils first increased the association of land-use with soil, but after 1873 this association progressively weakened and land-use interspersed. Here, we demonstrate that GeoAI can generate high-resolution area-wide historical land-use maps to study the extent and rate of landscape transformation, which in our case resulted in the homogenization of previously distinct landscapes.