The main goal of the article is the evaluation of usefulness of CORINE Land Cover (CLC) data—acquired predominantly by visual interpretation of Landsat satellite imagery—for monitoring of changes in settlement development and land use. This has been done by comparison of occurrence of buildings (and address points) in Poland with delimitations of land use belonging to particular classes in the CLC 2018 dataset. Large discrepancies have been identified, which reach on average approx. 34% of addresses and 35% of buildings located outside class 1 (artificial surfaces), mainly on terrains of class 2 (agricultural areas). Among single-family buildings it was 37% and among new addresses (forecasted or “under construction” buildings)—as much as 50%. This puts a question mark over the possibility of using CLC data with a resolution of 25 ha for monitoring of spatial planning and development in Poland for purposes of the diagnosis and assessment of the scale of dispersion of built-up areas. It is worth carrying out similar analyses in other countries, known for the deconcentration processes and a relatively large share of dispersed settlement, e.g., other CEE countries, Spain, Portugal, Italy.

The spatial management system in Poland struggles with serious costs as a consequence of local planning. The problem is the lack of appropriate value capturing mechanisms and cost compensation for municipalities, along with significant burdens. Private property is subject to special protection, but the public good is less valued. The article attempts to assess the situation in Poland, recalling also the experiences of spatial management systems from other European countries. It combines legal, economic, and geographical perspectives. The specific objectives were demonstration of geographical (interregional and functional) regularities related to the economic (financial) consequences of adopting local plans and identification of financial effects resulting from the implementation of local plans in communes, i.e., in particular, their size, structure of revenues (income), and expenditures, in relations with the budgets of municipalities and the population living in communes. First, the determinants of spatial policy were defined in the context of institutional economics and the real estate market. Then, a unique database of forecasted and realized budgetary revenues and expenditures of 2477 communes in Poland related to spatial development (infrastructure construction, land transformation, purchase, etc.) was analyzed statistically. Additionally, for five selected communes of different functional types, this issue was examined in detail. It has been shown that municipalities do not derive adequate income from spatial development, and improper policy of local self-governments results in heavy burdens, threatening to disturb their financial balance. The formulated conclusions regarding the legal, economic, and spatial mechanisms may contribute to building tools (instruments) for more effective spatial management in various countries.

World War II’s military activities and the post-war devastation period destroyed many European cities and towns. One of the areas that was struck the most was former East Prussia, currently located in Poland and the Kaliningrad Region (the Russian Federation). In addition to the destruction of cities, which are strategically and economically important, small towns have also suffered. An example of such a town is Węgorzewo, where the scale of destruction of the pre-war urban tissue exceeded 80%, and the old town’s built-up area practically ceased to exist. This town magnifies most of the processes and spatial problems characteristic of Central and Eastern Europe’s towns of the “metamorphic” type. Post-war zoning during the Polish People’s Republic period, in the spirit of constructing a socialist town and bypassing the original spatial arrangement, brought about irreversible changes in the urban tissue. This was reflected in the break with the town’s original layout and the creation of modernist buildings. The changes were solidified or even deepened during the economic and political transition of the 1990s in Poland. Today, decades after the end of World War II, despite taking corrective measures, the town is still facing the problem of spatial chaos. Its morphological and physiognomic manifestations in the lack of a central public space, the loss of its historic character, the disharmonization of the urban landscape, and the dispersed development are the main subjects of this article’s analysis. This study uses a diverse methodological apparatus consisting of an analysis of the town’s morphological transformations, an analysis of the physiognomy of the urban landscape and architecture, in situ studies, and an analysis of municipal documents and expert interviews. In the discussion, the study results are embedded in the context of the cases of other European cities and towns. The conclusions indicate the risks to the formation of spatial order in Węgorzewo and possible paths of action.

Imaging and measuring the Earth’s relief with sensors mounted upon unmanned aerial vehicles is an increasingly frequently used and promising method of remote sensing. In the context of fluvial geomorphology and its applications, e.g., landform mapping or flood modelling, the reliable representation of the land surface on digital elevation models is crucial. The main objective of the study was to assess and compare the accuracy of state-of-the-art remote sensing technologies in generating DEMs for riverscape characterization and fluvial monitoring applications. In particular, we were interested in DAP and LiDAR techniques comparison, and UAV applicability. We carried out field surveys, i.e., GNSS-RTK measurements, UAV and aircraft flights, on islands and sandbars within a nature reserve on a braided section of the Vistula River downstream from the city of Warsaw, Poland. We then processed the data into DSMs and DTMs based on four sources: ULS (laser scanning from UAV), UAV-DAP (digital aerial photogrammetry), ALS (airborne laser scanning), and satellite Pléiades imagery processed with DAP. The magnitudes of errors are represented by the cross-reference of values generated on DEMs with GNSS-RTK measurements. Results are presented for exposed sediment bars, riverine islands covered by low vegetation and shrubs, or covered by riparian forest. While the average absolute height error of the laser scanning DTMs oscillates around 8–11 cm for most surfaces, photogrammetric DTMs from UAV and satellite data gave errors averaging more than 30 cm. Airborne and UAV LiDAR measurements brought almost the perfect match. We showed that the UAV-based LiDAR sensors prove to be useful for geomorphological mapping, especially for geomorphic analysis of the river channel at a large scale, because they reach similar accuracies to ALS and better than DAP-based image processing.