Geomatics and Environmental Engineering
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ISSN 1898-1135
e-ISSN: 2300-7095
Issue Date
2023
Volume
Vol. 17
Number
No 3
Description
Journal Volume
Geomatics and Environmental Engineering
Vol. 17 (2023)
Projects
Pages
Articles
The designation of recreational and tourist areas in the sustainable management of rural and suburban areas
(Wydawnictwa AGH, 2023) Bielska, Anna; Borkowski, Andrzej Szymon; Czarnecka, Adrianna; Delnicki, Maciej; Kwiatkowska-Malina, Jolanta; Piotrkowska, Monika
This paper presents guidelines for the designation and development of locations for tourism and recreation in the countryside and on the city outskirts. The proposed criteria for designating these areas can be used in the development of strategic and planning documents. Using the METPRET and SWPR methodology in the area of the Mazowieckie Voivodeship, the research allows for the development of proposals to be included in the strategic documents of the voivodeship. These proposals indicated the need to find new areas with the potential for individual short-term tourism and recreation. In uncertain circumstances, an integrated approach to spatial policy is essential as it ensures the ability of urban, suburban, and rural areas to adapt to change and develop sustainably.
Optimising UAV data acquisition and processing for photogrammetry - a review
(Wydawnictwa AGH, 2023) Pargieła, Karolina
Unmanned aerial vehicles (UAVs) are used to acquire measurement data for an increasing number of applications. Photogrammetric studies based on UAV data, thanks to the significant development of computer vision techniques, photogrammetry, and equipment miniaturization, allow sufficient accuracy for many engineering and non-engineering applications to be achieved. In addition to accuracy, development time and cost of data acquisition and processing are also important issues. The aim of this paper is to present potential limitations in the use of UAVs to acquire measurement data and to present measurement and processing techniques affecting the optimisation of work both in terms of accuracy and economy. Issues related to the type of drones used (multi-rotor, fixed-wing), type of shutter in the camera (rolling shutter, global shutter), camera calibration method (pre-calibration, self-calibration), georeferencing method (direct, indirect), technique of measuring the external images orientation parameters (RTK, PPK, PPP), flight design methods and the type of software used were analysed.
Monitoring of land surface temperature from Landsat imagery - a case study of Al-Anbar Governorate in Iraq
(Wydawnictwa AGH, 2023) Morsy, Salem; Ahmed, Shaker
Land surface temperature (LST) estimation is a crucial topic for many applications related to climate, land cover, and hydrology. In this research, LST estimation and monitoring of the main part of Al-Anbar Governorate in Iraq is presented using Landsat imagery from five years (2005, 2010, 2015, 2016 and 2020). Images of the years 2005 and 2010 were captured by Landsat 5 (TM) and the others were captured by Landsat 8 (OLI/TIRS). The Single Channel Algorithm was applied to retrieve the LST from Landsat 5 and Landsat 8 images. Moreover, the land use/land cover (LULC) maps were developed for the five years using the maximum likelihood classifier. The difference in the LST and normalized difference vegetation index (NDVI) values over this period was observed due to the changes in LULC. Finally, a regression analysis was conducted to model the relationship between the LST and NDVI. The results showed that the highest LST of the study area was recorded in 2016 (min = 21.1°C, max = 53.2°C and mean = 40.8°C). This was attributed to the fact that many people were displaced and had left their agricultural fields. Therefore, thousands of hectares of land which had previously been green land became desertified. This conclusion was supported by comparing the agricultural land areas registered throughout the presented years. The polynomial regression analysis of LST and NDVI revealed a better coefficient of determination (R2) than the linear regression analysis with an average R2 of 0.423.
Identification of groundwater potential zones (GWPZ) using geospatial techniques and AHP method - a case study of the Boudinar Basin, Rif Belt (Morocco)
(Wydawnictwa AGH, 2023) Taher, Morad; Mourabit, Taoufik; Etebaai, Issam; Cherkaoui Dekkaki, Hinde; Amarjouf, Najat; Amine, Afaf; Bourjila, Abdelhak; Errahmouni, Ali; Azzouzi, Sadik
The present study aims to delineate the groundwater potential zones (GWPZ) in the Boudinar Basin using geospatial techniques and through an analytical hierarchal process (AHP) method. For multi criteria decision analysis, fifteen thematic layers were integrated into a geographic information system (GIS) environment. In this analysis, each thematic layer is calculated for normalized weights. Furthermore, the consistency index and consistency ratio were calculated to ensure that the result was significant and reliable. The GWPZ map has been categorized into three classes: poor (50.82%), moderate (49.06%), and good (<1.00%). To compare the result, we used four other scenarios of the GWPZ. Two of them are the most similar to our result. Finally, predictive groundwater production and management strategies that ensure long-term sustainability are highly needed.
A GIS procedure to assess shoreline changes over time using multi-temporal maps - an analysis of a sandy shoreline in southern Italy over the last 100 years
(Wydawnictwa AGH, 2023) Pepe, Massimiliano; Costantino, Domenica; Alfio, Vincenzo Saverio
The aim of the paper is to identify a methodology capable of assessing shoreline changes through a geomatic approach based on the use of GIS (Geographic Information System) software. The paper describes a case study that reports the evolution of a coastline over a period of more than 100 years using medium and large-scale metric maps available in different periods. In fact, the coastlines were obtained from the source maps of the Italian Cadastre (dated 1890), from numerical cartography available on the coastline and acquired in different period at scales 1:5000 and 1:2000 and, more recently, from the Google Earth Pro platform. To analyse the evolution of the coastline a new procedure has been performed which is based on the use of GIS software, in particular a plugin called DSAS that allows the evaluation of the changes in the coastline and also obtains a statistical analysis of its evolution. The results showed the ease and applicability of the method in determining the evolution of the coastline and the strong erosion of a stretch of coastline with important socio-economic consequences and repercussions was highlighted in the analysed case study.