Andrzej N. Affek, Jacek Wolski, Agnieszka Latocha, Maria Zachwatowicz, Małgorzata Wieczorek
{"title":"使用激光雷达重建波兰南部废弃山村的二战前景观","authors":"Andrzej N. Affek, Jacek Wolski, Agnieszka Latocha, Maria Zachwatowicz, Małgorzata Wieczorek","doi":"10.1002/arp.1846","DOIUrl":null,"url":null,"abstract":"<p>The cessation of most human activities resulting from post-World War II expulsions and forced displacements in Central Europe triggered massive land cover transformation in mountainous areas. However, many pre-War traces of past landscapes have survived—imprinted in microtopography—in permanently abandoned villages. Currently, they constitute unique cultural heritage of communities no longer in existence. Our main goal was therefore to reconstruct a lost cultural landscape of mountain villages abandoned after World War II (WWII). The case study area comprised three such villages located in southern Poland, two in the Carpathians and one in the Sudetes. We used the national airborne light detection and ranging (LiDAR) dataset combined with archival cadastral maps and field survey to detect man-made microtopographic features related to past boundaries, road network, agriculture and buildings and to interpret them in the landscape context. We demonstrated that the pre-War human footprint left in relief was shaped largely by past landownership divisions, land use and environmental constraints (related to lithology, soils and topography). Our secondary goal was to assess the value and application opportunities of LiDAR in reconstructing past landscapes. We showed that 38–70% of non-natural parcel boundaries and 65–79% of roads marked on mid-19th-century cadastral maps are still detectable using LiDAR. Therefore, we argue that the past landscape pattern, originating in late Middle Ages and subsequently transformed prior to WWII, remains well preserved in the relief and that LiDAR is an effective tool to reconstruct a past landscape of mountain villages abandoned after WWII. We also confirmed that customized LiDAR visualizations are more informative than ready-to-use shaded digital elevation models (DEMs), in particular when integrated with cadastral and field-based data. We conclude that the greatest advantage of LiDAR is the capacity to provide a landscape context for isolated traces of past human activity, allowing for the reconstruction of entire spatial patterns and interrelationships developed by past societies.</p>","PeriodicalId":55490,"journal":{"name":"Archaeological Prospection","volume":"29 1","pages":"157-173"},"PeriodicalIF":2.1000,"publicationDate":"2021-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/arp.1846","citationCount":"10","resultStr":"{\"title\":\"The use of LiDAR in reconstructing the pre-World War II landscapes of abandoned mountain villages in southern Poland\",\"authors\":\"Andrzej N. 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We used the national airborne light detection and ranging (LiDAR) dataset combined with archival cadastral maps and field survey to detect man-made microtopographic features related to past boundaries, road network, agriculture and buildings and to interpret them in the landscape context. We demonstrated that the pre-War human footprint left in relief was shaped largely by past landownership divisions, land use and environmental constraints (related to lithology, soils and topography). Our secondary goal was to assess the value and application opportunities of LiDAR in reconstructing past landscapes. We showed that 38–70% of non-natural parcel boundaries and 65–79% of roads marked on mid-19th-century cadastral maps are still detectable using LiDAR. Therefore, we argue that the past landscape pattern, originating in late Middle Ages and subsequently transformed prior to WWII, remains well preserved in the relief and that LiDAR is an effective tool to reconstruct a past landscape of mountain villages abandoned after WWII. We also confirmed that customized LiDAR visualizations are more informative than ready-to-use shaded digital elevation models (DEMs), in particular when integrated with cadastral and field-based data. 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The use of LiDAR in reconstructing the pre-World War II landscapes of abandoned mountain villages in southern Poland
The cessation of most human activities resulting from post-World War II expulsions and forced displacements in Central Europe triggered massive land cover transformation in mountainous areas. However, many pre-War traces of past landscapes have survived—imprinted in microtopography—in permanently abandoned villages. Currently, they constitute unique cultural heritage of communities no longer in existence. Our main goal was therefore to reconstruct a lost cultural landscape of mountain villages abandoned after World War II (WWII). The case study area comprised three such villages located in southern Poland, two in the Carpathians and one in the Sudetes. We used the national airborne light detection and ranging (LiDAR) dataset combined with archival cadastral maps and field survey to detect man-made microtopographic features related to past boundaries, road network, agriculture and buildings and to interpret them in the landscape context. We demonstrated that the pre-War human footprint left in relief was shaped largely by past landownership divisions, land use and environmental constraints (related to lithology, soils and topography). Our secondary goal was to assess the value and application opportunities of LiDAR in reconstructing past landscapes. We showed that 38–70% of non-natural parcel boundaries and 65–79% of roads marked on mid-19th-century cadastral maps are still detectable using LiDAR. Therefore, we argue that the past landscape pattern, originating in late Middle Ages and subsequently transformed prior to WWII, remains well preserved in the relief and that LiDAR is an effective tool to reconstruct a past landscape of mountain villages abandoned after WWII. We also confirmed that customized LiDAR visualizations are more informative than ready-to-use shaded digital elevation models (DEMs), in particular when integrated with cadastral and field-based data. We conclude that the greatest advantage of LiDAR is the capacity to provide a landscape context for isolated traces of past human activity, allowing for the reconstruction of entire spatial patterns and interrelationships developed by past societies.
期刊介绍:
The scope of the Journal will be international, covering urban, rural and marine environments and the full range of underlying geology.
The Journal will contain articles relating to the use of a wide range of propecting techniques, including remote sensing (airborne and satellite), geophysical (e.g. resistivity, magnetometry) and geochemical (e.g. organic markers, soil phosphate). Reports and field evaluations of new techniques will be welcomed.
Contributions will be encouraged on the application of relevant software, including G.I.S. analysis, to the data derived from prospection techniques and cartographic analysis of early maps.
Reports on integrated site evaluations and follow-up site investigations will be particularly encouraged.
The Journal will welcome contributions, in the form of short (field) reports, on the application of prospection techniques in support of comprehensive land-use studies.
The Journal will, as appropriate, contain book reviews, conference and meeting reviews, and software evaluation.
All papers will be subjected to peer review.