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Wyświetlanie 1-4 z 4
Tytuł:
Assessing the Potential Health Effect of Solid Waste Dump Site Located Close to Residential Areas in Jalingo, Taraba State Using Geospatial Techniques
Autorzy:
Tukura, Ejati D.
Ojeh, Vincent Nduka
Philip, Anita H.
Ayuba, Amina
Powiązania:
https://bibliotekanauki.pl/articles/1109618.pdf
Data publikacji:
2018
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Jalingo
Nigeria
Potential Health Effect
RS/GIS Approach
Solid Waste
Opis:
The study examined the application of Remote Sensing and Geographic Information Systems in estimating the potential health effects of solid waste dump sites located close to residences within Jalingo town, in mapping out the existing dumpsites, in carrying out proximity analysis and in assessing the impact of these dump sites on residences within the study area. Both primary and secondary data were used to achieve the objectives of the study. The primary data were the geographical coordinates of all the dumpsites from the selected five wards in the study area. This was obtained using hand held GPS. The secondary data applied included administrative boundary maps (Ancillary data) and recorded cases of malaria incidence from health facilities located in the area. Data were analyzed in ArcGIS 10.3 environment to display the X and Y coordinates and to obtain the spatial distribution of the dumpsites on a composites map. Geo-processing using ring buffering was carried out to form a proximity analysis of the dumpsites. Assessment of the impact of the dumpsites on the health of dwellers within the study area was achieved from a proximity analysis that compared location with the recorded cases of malaria. The findings of the study revealed that proximity analysis of a 500m and 1000m standard demonstrated that residences within 7.857 km2 and 31.439 km2 of each dumpsite, respectively, are in danger of dumpsite related disease. This is because out of the total built-up area of 61.479 km2 in the study area; most of the dumpsites located within 31.439 km2 of the built-up area do not conform to the NESREA standard criteria of siting a dumpsite. The assessment of the cases of malaria incidence recorded and the numbers of dumpsites revealed that dumpsites location close to residence had more cases of malaria incidence, thus it is believed that the dumpsites contribute to the breeding the female anopheles mosquito that transmit malaria to humans. The study recommends dumpsite location suitability analysis be performed in Jalingo and that to avoid endemic Malaria, the appropriate authorities close down dumpsites close to residences.
Źródło:
World News of Natural Sciences; 2018, 20; 160-175
2543-5426
Pojawia się w:
World News of Natural Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Geospatial Applicationsin Land Use/Land Cover Change Detection for Sustainable Regional Development:The Case of Central Haryana, India
Autorzy:
Kumar, Surender
Singh, Ripudaman
Powiązania:
https://bibliotekanauki.pl/articles/1838027.pdf
Data publikacji:
2021
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
geospatial
India
land use
land cover
RS-GIS
sustainable regional development
thematic change
Opis:
Timely and accurate detection of land use/land cover (LULC) change is important for the macro and micro level sustainable development of any region. For this purpose, geospatial techniques are the best tool for change analysis as they supply timely, cheaper, precise and up to date information. This paper examines the spatial temporal change trend in LULC in the case of Central Haryana. Landsat 2, 3, 5, 7 and 8 images for the years 1975–2020 for pre and post monsoon periods were analyzed for the study. Radiometric correction was performed to derive better information. ArcGIS 10.2 and ENVI 5.3 are used for thematic layout and thematic change preparation. An unsupervised classification using ERDAS IMAGINE 2015 has also been done to classify study area in eight classes. The year 1975 is considered as the base year for change detection analysis. Results showed an increasing trend for the land use classes of built up, water body, and agricultural land without waterlogging in the pre and post monsoon periods between 1975 and 2020. Remaining land use classes of agriculture with waterlogging, open waterlogged area, vegetation and fallow land/sand dunes decreased during the same period. Increased human activities have changed the LULC in the region and have had a great impact on its sustainable regional development.
Źródło:
Geomatics and Environmental Engineering; 2021, 15, 3; 81-98
1898-1135
Pojawia się w:
Geomatics and Environmental Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of geomatic tools for the diachronic monitoring of landscape metrics in the northeastern algerian highlands, case of the city of Setif
Autorzy:
Kraria, Hocine
Zighmi, Karim
Chibani, Abdelmouhcene
Powiązania:
https://bibliotekanauki.pl/articles/2201671.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet Rolniczy im. Hugona Kołłątaja w Krakowie
Tematy:
LAUP
GIS
RS
PCA
Sentinel 2A
Landsat
Opis:
Geomatic tools could be used efficiently for urban development planning. The problem of the study lies in the extensive land use of terrains that are now suitable for heavy construction which slows down the development of new facilities. Furthermore, the authorities are forced to plan future settlements around Setif, at a distance of 8 to 12 kilometers from the city limits, threatening the long-term viability of construction and the ring of farmland that connects them to the core city. This must be done during the planning stage based on a diachronic analysis of all the natural and physical factors/parameters. The main objective of this research is to explore the application of landscape metrics to the analysis and monitoring of urban growth in the city of Setif, north-east of Algeria. For this purpose, our research paper uses Geographic Information System (GIS) and Remote Sensing (RS) techniques based on Principal Component Analysis (PCA) and the Angle Mapper Algorithm (SAM) target method for the analysis of urban land planning and sustainable urban planning of Setif. In the result of these analyses we propose suitability/buildability maps with more suitable construction sites. The research method is based on a 17-year time series dataset compiled from the Sentinel 2A and Landsat imagery between 2004 and 2021. Additionally, we used a cadastral Vs geotechnical overlay to estimate soil capacity. This work proves again that the integration of RS and GIS techniques allows for scientific identification of the lands suitable for urban development (LAUP).
Źródło:
Geomatics, Landmanagement and Landscape; 2022, 4; 67--79
2300-1496
Pojawia się w:
Geomatics, Landmanagement and Landscape
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Extraction of urban construction development with using Landsat satellite images and geoinformation systems
Autorzy:
Arifjanov, Aybek M.
Akmalov, Shamshodbek B.
Samiev, Luqmon N.
Powiązania:
https://bibliotekanauki.pl/articles/1844383.pdf
Data publikacji:
2021
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
ArcGIS
geographic information system
GIS
Landsat satellite image
remote sensing
RS
urban
Opis:
In recent times there have been many changes on Earth, which have appeared after anthropogenic impact. Finding solutions to problems in the environment requires studying the problems quickly, make proper conclusions and creating safe and useful measures. Humanity has always had an effect on the environment. There can be many changes on the Earth because of direct and indirect effects of humans on nature. Determining these changes at the right time and organizing meas-urements of them requires the creation of quick analysing methods. This development has improved specialists’ interest for remote sensing (RS) imagery. Moreover, in accordance with analysis of literature sources, agriculture, irrigation and ecology have the most demand for RS imagery. This article is about using geographic information system (GIS) and RS technologies in cadastre and urban construction branches. This article covers a newly created automated method for the calculation of artificial surface area based on satellite images. Accuracy of the analysis is verified according to the field experiments. Accuracy of analysis is 95%. According to the analysis from 1972 to 2019 artificial area enlargement is 13.44%. This method is very simple and easy to use. Using this data, the analysis method can decrease economical costs for field measures. Using this method and these tools in branches also allows for greater efficiency in time and resources.
Źródło:
Journal of Water and Land Development; 2021, 48; 65-69
1429-7426
2083-4535
Pojawia się w:
Journal of Water and Land Development
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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