This article explores the use of Light Detection And Ranging (LiDAR) derived point clouds to extract the shoreline of the Lake Kłodno (Poland), based on their geometry properties. The data collection was performed using the Velodyne VLP-16 laser scanner, which was mounted on the HydroDron Unmanned Surface Vehicle (USV). A modified version of the shoreline extraction method proposed by Xu et al. was employed, comprising of the following steps: (1) classifying the point cloud using the Euclidean cluster extraction with a tolerance parameter of 1 m and min. cluster size of 10,000 points, (2) further filtration of boundary points by removing those with height above 1 m from the measured elevation of water surface, (3) manual determination of a curve consisting of 5 points located along the entire shoreline extraction region at a relatively constant distant from the coast, (4) removal of points that are further from the curve than the average distance, repeated twice. The method was tested on the scanned section of the lake shoreline for which Ground Control Points (GCP) were measured using a Global Navigation Satellite System (GNSS) Real Time Kinematic (RTK) receiver. Then, the results were compared to the ground truth data, obtaining an average position error of 2.12 m with a standard deviation of 1.11 m. The max error was 5.54 m, while the min. error was 0.41 m, all calculated on 281 extracted shoreline points. Despite the limitations of this parametric, semi-supervised approach, those preliminary results demonstrate the potential for accurate shoreline extraction based on LiDAR data obtained using an USV. Further testing and optimisation of this method for larger scale and better generalisation for different waterbodies are necessary to fully assess its effectiveness and feasibility. In this context, it is essential to develop computationally efficient methods for approximating shorelines that can accurately determine their course based on a set of points.
There are many manufacturers on the market offering various types of Unmanned Aerial Vehicles (UAV). The multitude of drones available on the market means that the choice of a UAV for a specific application appears to be a decision problem to be solved. The aim of this article is a comparative analysis of drones used in photogrammetric surveys. The criteria for evaluating the UAVs were: availability and product support, payload (min. 5 kg), price (PLN 100,000), as well as space available for measurement modules. These are the requirements that must be met for the implementation of the INNOBAT project, the aim of which is to develop an integrated system using autonomous unmanned aerial and surface vehicles, intended for bathymetric monitoring in the coastal zone. The comparative analysis of drones was based on 27 companies producing UAV. Based on the analysis, 6 drones that met the project requirements were selected. They were: Aurelia X6 Pro, Aurelia X8 Standard LE, DroneHexa AG, FOX-C8 XT, Hercules 10 and Zoe X4. Selected UAVs differ from each other, among others, in the number of rotors, flight duration and resistance to weather conditions. Individual characteristics of drones may have a different rank depending on their application, therefore the selection of UAVs should be made after prioritisation criteria of a given project.
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In situ measurements of physical and biogeochemical variables were conducted along a transect in the Exclusive Economic Zone (EEZ) of Qatar during late summer (September 2014) and winter (January 2015) to investigate their vertical, spatial and temporal variability. The study reveals that the water column is characterized by strong stratification during late summer in the deepest station, where the water depth is around 65 m and the surface to bottom temperature variation is around 9.1°C. The water column is vertically homogeneous during winter due to surface cooling and wind mixing. The surface to 23 m water column is characterized by ample dissolved oxygen (DO) during late summer and winter in the offshore regions, however, relatively low DO is found during late summer due to weak mixing and advection under weak winds and currents. Dissolved oxygen drops to hypoxic levels below the summer thermocline, and the winter high DO layer extends up to the bottom. Chlorophyll-a (Chl-a) is relatively high during late summer in the offshore region, while that in the nearshore regions is very low, which is linked to the anthropogenic stresses from the central east coast of Qatar. The results identified in this study fill an essential gap in the knowledge of regional primary production dynamics.
With change being the only thing that is constant, modern world is undergoing a disruptive change to many aspects of everyday life. Covering 70% of our planet, oceans and industries connected with them are of no exception. The apparent drive towards autonomization in shipping will not only change the way vessels are navigated, but will affect virtually all services needed for the vessels to be navigated. These include not only the design of ships themselves, training of their crews, remote supervision of onboard processes, but also the extremely important - yet not always appreciated - domain that allows for a safe navigation: maritime hydrography. This paper discusses some insights on how the autonomous vessels and future hydrographers may benefit from each other.
A magnetic anomaly map of an underwater area indicates the places where the distortion of a magnetic field has occurred. Through the interpretation procedures, a hydrographer can easily indicate the places where the ferromagnetic objects are, then calculate the level of each distortion – by the value of total anomaly – and initially, based on their own knowledge, try to classify the sources of distortion. Objects that induce micro anomaly changes (>30 nT) – like industrial infrastructure, such as pipelines and cables; to unintendingly located targets with ferromagnetic characteristics: wrecks (vessels, planes, cars), military mines, UXO, lost anchors and chains. Interpretation of such a map with the attempt to identify the source of magnetic field distortion, requires a specific knowledge as well as experience. In this article the author presents the research results of dimensioning and location of potential ferromagnetic underwater objects based on a magnetic anomaly map. For further consideration an anchor of buoyage system is taken into account. Geolocation of ferromagnetic sources, contours extraction and dimensioning algorithms of ferromagnetic targets have been carried out in Matlab software. The map of magnetic anomaly enhanced with extracted information was developed in ArcGIS. The analysis was carried out for the purpose of the dissertation thesis and the results are used in further research.
PL
Mapa anomalii magnetycznych obszaru podwodnego wskazuje miejsca, w których występuje zniekształcenie ziemskiego pola magnetycznego. Za pomocą procedur interpretacyjnych hydrograf może łatwo wskazać miejsca, w których znajdują się obiekty ferromagnetyczne, a następnie obliczyć poziom każdego zniekształcenia – według wartości całkowitej anomalii – i na podstawie własnej wiedzy spróbować sklasyfikować źródła zniekształceń. Obiekty, które indukują zniekształcenie pola magnetycznego na obszarach wodnych, mogą być różne. Te wywołujące zmiany pola magnetycznego (anomalia >30 nT) to między innymi infrastruktura przemysłowa, np.: rurociągi i kable, a także nieumyślnie zlokalizowane cele o charakterystyce ferromagnetycznej: wraki (statków, samolotów, samochodów), miny wojskowe, niewybuchy, kotwice i łańcuchy statków. Interpretacja takiej mapy w celu zidentyfikowania źródła zniekształcenia pola magnetycznego wymaga specjalistycznej wiedzy i doświadczenia. Całkowita wartość anomalii magnetycznej określa wielkość poziomu ferromagnetyzmu obiektu, a wymiar powierzchni objętej anomalią umożliwia geolokalizację celu i ustalenie jego wymiarów. W artykule autorzy przedstawiają wyniki badań wymiarowania i lokalizacji potencjalnych ferromagnetycznych podwodnych obiektów na podstawie mapy anomalii magnetycznych. Przeanalizowano anomalię magnetyczną spowodowaną przez kotwicę oznakowania nawigacyjnego. Geolokalizacja źródeł ferromagnetycznych, ekstrakcja ich konturów i algorytmy wymiarowania celów ferromagnetycznych zostały przeprowadzone za pomocą oprogramowania Matlab. Porównano i podsumowano wyniki działania różnych filtrów stosowanych do przetwarzania obrazów. Mapa anomalii magnetycznej wzbogacona o wyodrębnione informacje została opracowana w ArcGIS. Analiza została przeprowadzona na potrzeby pracy doktorskiej, a jej wyniki wykorzystano w dalszych badaniach
Shoreline mapping is one of the key stages in navigational charting. In terms of navigation, the shoreline marks the boundary of a river, which is often equivalent to the navigable water area. In cartographic terms, it is an important topological element between different objects that are adjacent to it. Currently, topographic objects are often mapped using photogrammetric materials obtained from various altitudes – satellite, airborne or low, which is associated with the use of an airborne UAV. Depending on the type of materials, the shoreline can be obtained in vector form with differing situational accuracy and differing degree of detail. In addition to the standard methods of processing vector data, the research in this paper also included the use of sonar images, enabling the detection of the shoreline with the use of a surveying hydrographic unit. On the basis of the collected photogrammetric and sonar images of different spatial resolution, an analysis of the accuracy of shoreline mapping was performed in terms of the situational accuracy and the level of detail in its representation. The results of the research provided the basis for the determination of dedicated remote sensing materials enabling the development of maps for inland navigation.
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An effort is made to understand and quantify the influence of near surface zonal and meridional winds, incoming shortwave radiation, and freshwater flux air-sea forcings on the seasonal variability of the hydrography, circulation, and mixed layer depth of the Arabian Sea (AS) and Bay of Bengal (BoB). Sensitivity experiments using an ocean general circulation model are carried out for this purpose in the Indian ocean around 65°-95°E, 5°-22°N during 1998-2014 (17 years). In the absence of near surface wind forcing, the sea surface temperature of the region greatly increases in all the seasons, whereas, in the absence of incoming shortwave radiation forcing, exactly opposite is the case. The sea surface salinity of the AS and BoB decreases in the absence of wind and shortwave radiation forcings, whereas, in the northern BoB it increases in the absence of freshwater flux forcing. The sub-surface changes in the stratification of temperature and salinity are also investigated. The influence of the air-sea forcings on the mixed layer depth of the region is found to be highly seasonally dependent. The effect of air-sea forcings on the seasonal variability of the upper ocean vertical stability is studied using the vertical shear of the horizontal velocity, buoyancy frequency, and energy required for mixing as quantifiers. The near surface wind forcing has highest contribution in changing the surface circulation of the region.
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Global Positioning System (GPS) technology is ideally suited for inshore and offshore positioning because of its high accuracy and the short observation time required for a position fix. Precise point positioning (PPP) is a technique used for position computation with a high accuracy using a single GNSS receiver. It relies on highly accurate satellite position and clock data that can be acquired from different sources such as the International GNSS Service (IGS). PPP precision varies based on positioning technique (static or kinematic), observations type (single or dual frequency) and the duration of observations among other factors. PPP offers comparable accuracy to differential GPS with safe in cost and time. For many years, PPP users depended on GPS (American system) which considered the solely reliable system. GLONASS’s contribution in PPP techniques was limited due to fail in maintaining full constellation. Yet, GLONASS limited observations could be integrated into GPS-based PPP to improve availability and precision. As GLONASS reached its full constellation early 2013, there is a wide interest in PPP systems based on GLONASS only and independent of GPS. This paper investigates the performance of kinematic PPP solution for the hydrographic applications in the Nile river (Aswan, Egypt) based on GPS, GLONASS and GPS/GLONASS constellations. The study investigates also the effect of using two different observation types; single-frequency and dual frequency observations from the tested constellations.
The paper presents the impact that the XPRIZE Foundation competition, the Shell Ocean Discovery XPRIZE, has had on the development of current ocean mapping possibilities. A race for the prize has accelerated the development of innovative seabed mapping approaches that concentrated on new systems engineering or cutting-edge and innovative methods of existing equipment exploitation. The GEBCO - Nippon Foundation (NF) Alumni Team’s entry is presented in details as a state of the art example of mature and robust ocean-mapping solution utilizing a high degree of autonomy and providing the possibilities of deep-ocean mapping that were unattainable before.
PL
W artykule przedstawiono wpływ konkursu Shell Ocean Discovery XPRIZE na rozwój współczesnych technik mapowania głębokowodnych obszarów oceanicznych. Wyścig po główną nagrodę stał się motywacją do pracy nad innowacyjnymi metodami eksploracji głębin i nowatorskim wykorzystaniem istniejących systemów. Przykładem jest przedstawiony szczegółowo system zaproponowany przez drużynę GEBCO - Nippon Foundation (NF) Alumni. Połączenie sprawdzonego pojazdu podwodnego (Hugin) z nową, zaprojektowaną w ramach udziału w konkursie jednostką nawodną (SEA-KIT) tworzy nieistniejące wcześniej możliwości pozyskiwania danych o ukształtowaniu dna akwenów głębokowodnych.
Międzyodrze is an area in Lower Odra Valley, from the fork of the riverbed to Szczecin, with the islands between the Odra River and Lake Dąbie. In the past, it has served primarily as a waterway route and now serves a variety of economic and nature-related functions. This paper presents the historical and present role of Międzyodrze, taking into account the specific natural values of the Lower Odra Valley, hydrography, hydrology and soil conditions. In the area of Międzyodrze, there are basically three types of organic matter and the nature’s point of view, the area is rich in flora and fauna. The current stimulation to activity of Międzyodrze is to take account of the needs of the natural environment, tourism and recreation, while improving the hydrological and retention potential of the area. Exceptional natural values, complicated hydraulic system of canals, the complexity of hydrological phenomena and the specificity of soils make the selection of activities aimed at achieving the objectives of area revitalization requires comprehensive environmental and hydrological analyses as well as economic analyses. The paper outlined the range of difficulties encountered by this assessment.
PL
Międzyodrze to obszar w Dolinie Dolnej Odry, od rozwidlenia koryta do Szczecina, wraz z wyspami pomiędzy Odrą i jeziorem Dąbie. W przeszłości służyło głównie jako szlak transportu wodnego, a obecnie pełni różnorodne funkcje gospodarcze i przyrodnicze. W pracy scharakteryzowano historyczną oraz obecną rolę Międzyodrza z uwzględnieniem specyficznych walorów przyrodniczych Doliny Dolnej Odry, hydrografii, hydrologii i warunków glebowych. Na obszarze Międzyodrza występują zasadniczo trzy rodzaje utworów organicznych (mada właściwa na torfie, gleba torfowa saprowa typowa, gleba torfowa limnowo-saprowa), a z przyrodniczego punktu widzenia obszar charakteryzuje się bogactwem flory i fauny. Prowadzona obecnie aktywizacja Międzyodrza ma uwzględniać potrzeby środowiska przyrodniczego, turystki i rekreacji, a jednocześnie poprawić potencjał hydrologiczny i retencyjny obszaru. Wyjątkowe walory przyrodnicze, skomplikowany system hydrauliczny kanałów, złożoność przebiegu zjawisk hydrologicznych oraz specyfika gleb sprawiają, że wybór działań zmierzających do osiągnięcia celów rewitalizacji obszaru wymaga wszechstronnych analiz przyrodniczo-hydrologicznych, a także analiz ekonomicznych. W pracy zarysowano zakres trudności w przeprowadzeniu takich analiz.
The Russian–Lithuanian cross-border area around the Nemunas and Šešupė rivers confluence is a key area for solving palaeogeographic issues important for this region: when the Nemunas Delta started to form, why the essential changes of hydrographic network occurred, and so on. The results of conventional radiocarbon (14C) dating and pollen analysis in the present dry valley between the Šešupė River and the Įrutis River as well as the results of former studies at the Riadino-5 archaeological site suggest that the essential changes in the Nemunas River hydrographic system occurred before 9.5 ka, most likely in Preboreal time, when the Nemunas River cut through the Vilkiškė Marginal Ridge and started to flow directly to the west from this ridge into one of the former basins of the Baltic Sea – to the Yoldia Sea, or to the Ancylus Lake. A new divide was formed between the Šešupė and Įsrutis rivers, and the basins of the Nemunas and Prieglius rivers (formerly a single hydrographic system) became two independent drainage basins of the Baltic Sea. The present Nemunas Delta formation started after the Litorina Sea transgression when the Nemunas River mouth moved from a Baltic Sea nearshore position to close to the western margin of the Vilkiškės Marginal Ridge. A set of palaeogeographic reconstructions of the Nemunas and Šešupė rivers confluence area for different periods of the very end of the Last (Weichselian) Glacial and the beginning of the Holocene have been constructed.
Performing any measurement on watercraft is connected with many additional difficulties caused by the sea-environment. The most important is the problem of spatial stabilization of measurement systems, which are usually fastened to craft body. As soon as usually these measurement are executed during the move of the craft additional question is the accuracy of execution the planed trajectory. This is a problem for all investigators, especially when system use spatially configured beams of any antennas or other sensors, regardless is it receiving or transmitting one. Different aspects of these question are the subject of research activity of Institute of Navigation and Maritime Hydrography of Polish Naval Academy. In this paper the review of works executed in last years are presented.
This article presents a structure of marine safety relating to navigation. It includes examples of documents which are currently in effect.
PL
W artykule przedstawiono strukturę bezpieczeństwa morskiego związanego z procesem nawigacyjnym. Podano przykłady dokumentów z zaliczeniem ich do obszarów obowiązywania.
The paper discusses the ASG EUPOS services. There is presented an assessment of the possibility of using this system selected sites in hydrography and off-shore navigation tasks. Presented and analyzed the experiments were carried out in the port of Gdynia and on the Gulf of Gda?sk. The results obtaining in the work confirm the possibility of the position accuracy guaranteed by ASG EUPOS services. The obtained accuracy greatly exceeds the needs and requirements of coastal navigation and underwater mining and exploration of sea bottom.
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In the recent years, intelligent methods as artificial neural networks are successfully applied for data analysis from different fields of the geosciences. One of the encountered practical problems is the availability of gaps in the time series that prevent their comprehensive usage for the scientific and practical purposes. The article briefly describes two types of the artificial neural network (ANN) architectures ‐ Feed‐ Forward Backpropagation (FFBP) and recurrent Echo state network (ESN). In some cases, the ANN can be used as an alternative on the traditional methods, to fill in missing values in the time series. We have been conducted several experiments to fill the missing values of daily sea levels spanning a 5‐years period using both ANN architectures. A multiple linear regression for the same purpose has been also applied. The sea level data are derived from the records of the tide gauge Burgas, which is located on the western Black Sea coast. The achieved results have shown that the performance of ANN models is better than that of the classical one and they are very promising for the real‐time interpolation of missing data in the time series.
The dangerous sea and river water level increase does not only destroy the human lives, but also generate the severe flooding in coastal areas. The rapidly changes in the direction and velocity of wind and associated with them sea level changes could be the severe threat for navigation, especially on the fairways of small fishery harbors located in the river mouth. There is the area of activity of two external forcing: storm surges and flood wave. The aim of the work was the description of an application of Artificial Neural Network (ANN) methodology into the water level forecast in the case study field in Swibno harbor located is located at 938.7 km of the Wisla River and at a distance of about 3 km up the mouth (Gulf of Gdansk ‐ Baltic Sea).
Mapę Podziału Hydrograficznego Polski w skali 1:10 000 (MPHP10) opracowano w ramach projektu Informatyczny System Osłony Kraju przed Nadzwyczajnymi Zagrożeniami (ISOK). MPHP10 to jednolita, ciągła baza danych hydrograficznych obejmująca obszar całego kraju łącznie z częściami dorzecza Wisły i Odry położonymi poza jej granicami. Mapa ta zawiera charakterystykę geometryczną i opisową sieci rzecznej oraz zlewni. MPHP jest jedynym źródłem danych o granicach zlewni. MPHP jest podstawą do tworzenia różnych map tematycznych związanych z gospodarką wodną. Może być pomocna w bilansowaniu wodno gospodarczym, ocenie zasobów wodnych, ocenie przepływów i w konsekwencji symulowaniu ich zmian spowodowanych zmianami klimatu lub działaniami z zakresu gospodarki wodnej. Analizy takie można przeprowadzać w zadanych obszarach takich jak jednolite części wód, zlewnie. regiony wodne oraz dorzecza. Podstawą do utworzenia MPHP10 były warstwy zasobów Bazy Danych Obiektów Topograficznych. Materiał ten został zweryfikowany przez hydrografów. Dzięki temu utworzona mapa numeryczna jest materiałem, który może uzupełnić bądź poprawić zasób geodezyjny w zakresie nazewnictwa cieków i zbiorników wodnych oraz przebiegu, lokalizacji źródeł i ujść cieków. Wymagać to będzie konsultacji między odpowiedzialnymi instytucjami oraz zmiany obowiązujących przepisów. MPHP jest jednym z referencyjnych zbiorów danych tworzących krajową infrastrukturę informacji przestrzennej. Dzięki dostosowaniu MPHP do standardów INSPIRE produkt ten ma taką samą strukturę jak zbiory danych hydrograficznych innych państw Unii Europejskiej. Zharmonizowany zbiór danych MPHP stanie się częścią europejskiej infrastruktury informacji przestrzennej. Pozwoli to dane pochodzące z MPHP10 łączyć z danymi z innych państw i tworzyć opracowania kartograficzne oraz prowadzić analizy przestrzenne o charakterze transgranicznym i paneuropejskim.
EN
Hydrographic Map of Poland at a scale of 1:10 000 (MPHP10) was developed under the project “IT System of the Country's Protection Against Extreme Hazards (ISOK)”. MPHP10 is a uniform, continuous hydrographic database covering the whole country, including the river basin of the Vistula and the Oder located outside the borders of Poland. MPHP10 comprises geometrical and descriptive characteristics of river systems and their catchments. It is the only source of data on catchment boundaries for Poland. MPHP10 is a proper basis for creating a variety of thematic maps related to water management. It can assist in carrying out analyses such as economic water balance, water resources assessment, assessment of river flow and, in consequence, simulate changes in the foregoing, caused by climate change or activities in the area of water management. Such an analysis can be performed in selected areas such as water bodies, catchments, water regions and river basins. Geometric basis of MPHP10 provide data sets adopted from the Database of Topographic Objects (BDOT). This material has been analyzed, reviewed and transformed by hydrographers. Therefore MPHP10 is a proper reference to be used for complementing or improving the geodetic data in the following areas: geographic names of rivers, lakes and artificial reservoirs, courses of streams and rivers, location of springs and estuaries. In such cases, additional consultations between responsible bodies and changes in existing law will be required. MPHP10 is one of the reference data sets creating the Spatial Information Infrastructure in Poland. By adopting INSPIRE standards, this product has been structured in the same way as hydrographic data sets of other countries in the European Union. A harmonized set of MPHP data will become a part of the Infrastructure for Spatial Information in Europe. This will allow the data from MPHP10 to be combined with data from other countries to create cartographic products and to conduct cross-border and pan-European spatial analysis.
Celem naukowym planowanych badań jest rozwinięcie metod przetwarzania hydrograficznych geodanych pomiarowych poszerzone o geodane magnetometryczne. Planowane badania obejmą cały kompleks metod procesu integracji hydrograficznych geodanych pomiarowych – danych batymetrycznych, sonarowych i magnetometrycznych. Łączne analizowanie danych pozyskanych różnymi sensorami umożliwi uzyskanie efektu synergicznego w tym szczególnie w procesie identyfikacji obiektów dennych i zalegających pod dnem akwenu. Wyniki badań wdrożone zostaną do praktyki hydrograficznej oraz w procesie budowy elektronicznych map nawigacyjnych, w tym między innymi elektronicznych map nawigacyjnych dla żeglugi śródlądowej, elektronicznych map podwodnych akwenów portowych i map batymetrycznych.
EN
In this paper, the problem of integration of hydrographical geodata obtained by various sensors is discussed. The planned works include the entire complex of geodata: bathymetric, sonar and magnetometric. Joint analyzing them will enable to get the synergetic effect, in particular in the process of identification of objects lying on the bottom and under the bottom of the basin. The results will be implemented in the hydrographical practice and in the process of producing electronic navigational charts, among others of inland water charts, port electronic maps and bathymetric maps.
Dyrektywa INSPIRE ustanawiająca ramowe podstawy w zakresie infrastruktury informacji przestrzennej (SDI) definiuje założenia funkcjonowania polityki wspólnotowej w tym zakresie, m.in. odnośnie publicznego dostępu do danych. Ponadto Dyrektywa wprowadza podział zbiorów danych przestrzennych oraz ich klasyfikację zgodnie z tematami załącznika I. W zależności od przynależności do tematu, zaawansowania zasobu oraz dostępności danych, zbiory danych przestrzennych różnicują się w zakresie interoperacyjności. Opracowana Mapa Podziału Hydrograficznego Polski w skali 1:10 000 wpisuje się w założenia i wytyczne Dyrektywy realizując zobowiązania Polski w ramach tematu Hydrografia. Artykuł opisuje uwarunkowania realizacyjne projektu w kontekście zgodności i spójności danych przestrzennych z Dyrektywą INSPIRE. Poddano analizie modele danych MPHP10 oraz INSPIRE, wskazując główne różnice. Następnie opisano główne etapy procesu, poczynając od budowy modeli mapujących obie struktury, a kończąc na migracji danych.
EN
The INSPIRE Directive establishes a framework for spatial information infrastructure (SDI) in the European Union and defines the main policy goals across the EU, among others in terms of public access to data. The Hydrographic Map of Poland at the 1:10 000 scale fits the guidelines and framework of the Directive, fulfilling Polish obligations under the theme Hydrography. This paper describes conditions for execution of the MPHP10 project in the context of consistency and compatibility of spatial data with the INSPIRE Directive. The data models of MPHP10 and INSPIRE have been analyzed, indicating major differences. The paper then describes the main stages of the process, starting from construction of models mapping both data structures and ending with data migration.
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