scholarly journals POSSIBILITIES OF OBTAINING CADASTRAL PLANS ON LARGE SURFACES USING AERIAL PHOTOGRAMMETRY

2021 ◽  
Vol 10 (19) ◽  
pp. 142-150
Author(s):  
Mihai Simon ◽  
Loredana Copăcean ◽  
Cosmin Popescu ◽  
Margareta Măgureanu ◽  
Lumința Cojocariu
Keyword(s):  
High Spatial Resolution ◽  
Arable Land ◽  
Spatial Location ◽  
Theoretical Research ◽  
Practical Application ◽  
The Past ◽  
Aerial Photogrammetry ◽  
Very High Spatial Resolution ◽  
Geospatial Databases ◽  
Very High

The importance of research in the field of topo-cadastral or photogrammetry has been revealed by many studies but strictly with reference to the general cadastre without considering the relevance for agriculture: arable land, pastoral space, forests or other uses. In this context, the purpose of the research was to bring "automated" alternatives, remotely, to the preparation, updating or completion of cadastral plans available in the past in analog format, at the level of each ATU. The working methodology consisted of: flying over the territory with WingtraOne photogrammetric equipment, at an altitude of 300 m, generating the orthophotoplan with very high spatial resolution (below 0.5 m), vectoring the lands according to the category of use, both in the urban area and outside the commune and the creation of geospatial databases. The obtained results materialized through the topo-cadastral inventory of all the buildings in the analyzed territory (arable land, pastures, hayfields, forests, built spaces, etc.), both as a spatial location (vector format) and as a descriptive database. The application of high precision photogrammetric techniques has a practical application in real estate inventory, especially in the case of large areas, but also a complement to theoretical research in various fields.

scholarly journals High spatial resolution photo mosaicking for the monitoring of coralligenous reefs

Coral Reefs ◽  
2021 ◽  
Author(s):  
E. Casoli ◽  
D. Ventura ◽  
G. Mancini ◽  
D. S. Pace ◽  
A. Belluscio ◽  
...  
Keyword(s):  
Spatial Resolution ◽  
High Spatial Resolution ◽  
Low Cost ◽  
Pixel Resolution ◽  
Recording Apparatus ◽  
Assemblage Composition ◽  
Very High Spatial Resolution ◽  
Vertical Walls ◽  
Non Destructive ◽  
Very High

AbstractCoralligenous reefs are characterized by large bathymetric and spatial distribution, as well as heterogeneity; in shallow environments, they develop mainly on vertical and sub-vertical rocky walls. Mainly diver-based techniques are carried out to gain detailed information on such habitats. Here, we propose a non-destructive and multi-purpose photo mosaicking method to study and monitor coralligenous reefs developing on vertical walls. High-pixel resolution images using three different commercial cameras were acquired on a 10 m2 reef, to compare the effectiveness of photomosaic method to the traditional photoquadrats technique in quantifying the coralligenous assemblage. Results showed very high spatial resolution and accuracy among the photomosaic acquired with different cameras and no significant differences with photoquadrats in assessing the assemblage composition. Despite the large difference in costs of each recording apparatus, little differences emerged from the assemblage characterization: through the analysis of the three photomosaics twelve taxa/morphological categories covered 97–99% of the sampled surface. Photo mosaicking represents a low-cost method that minimizes the time spent underwater by divers and capable of providing new opportunities for further studies on shallow coralligenous reefs.

scholarly journals Mapping Urban Functional Zones by Integrating Very High Spatial Resolution Remote Sensing Imagery and Points of Interest: A Case Study of Xiamen, China

2018 ◽  
Vol 10 (11) ◽  
pp. 1737 ◽  
Author(s):  
Jinchao Song ◽  
Tao Lin ◽  
Xinhu Li ◽  
Alexander V. Prishchepov
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Spatial Resolution ◽  
High Spatial Resolution ◽  
Remote Sensing Images ◽  
Remote Sensing Imagery ◽  
Points Of Interest ◽  
Very High Spatial Resolution ◽  
Functional Zones ◽  
Very High

Fine-scale, accurate intra-urban functional zones (urban land use) are important for applications that rely on exploring urban dynamic and complexity. However, current methods of mapping functional zones in built-up areas with high spatial resolution remote sensing images are incomplete due to a lack of social attributes. To address this issue, this paper explores a novel approach to mapping urban functional zones by integrating points of interest (POIs) with social properties and very high spatial resolution remote sensing imagery with natural attributes, and classifying urban function as residence zones, transportation zones, convenience shops, shopping centers, factory zones, companies, and public service zones. First, non-built and built-up areas were classified using high spatial resolution remote sensing images. Second, the built-up areas were segmented using an object-based approach by utilizing building rooftop characteristics (reflectance and shapes). At the same time, the functional POIs of the segments were identified to determine the functional attributes of the segmented polygon. Third, the functional values—the mean priority of the functions in a road-based parcel—were calculated by functional segments and segmental weight coefficients. This method was demonstrated on Xiamen Island, China with an overall accuracy of 78.47% and with a kappa coefficient of 74.52%. The proposed approach could be easily applied in other parts of the world where social data and high spatial resolution imagery are available and improve accuracy when automatically mapping urban functional zones using remote sensing imagery. It will also potentially provide large-scale land-use information.

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