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This has become more relevant as the growing use of mobile-phone technology and internet use has increased, as well as calls for innovative ways to boost the introduction of the World Health Organization Sustainable Development Goals for universal health coverage on the continent. The huge potential benefits of GIS to improve health service delivery in Africa are, however, yet to fully leveraged due to a variety of challenges, including proliferation of pilot projects, poor coordination, inadequate infrastructure, lack of interoperability, and inadequate sustainable financing.
Source link: https://doi.org/10.1186/s12919-022-00233-y
Moreover, this paper investigates the system model using landscape ecology to design a coastal city landscape image simulation system and uses remote sensing technologies to analyze the system model. This paper also examines the success of the coastal city landscape image simulation software developed in this paper's experimental findings. The system developed in this paper basically fulfills the requirements for coastal city landscape image simulation, according to the study findings.
Source link: https://doi.org/10.1007/s00521-021-06335-6
The rapid growth of municipal solid waste put stress on the end treatment facilities, and MSW treatment facilities' location selection must be considered closely. The location of the complete solid waste treatment stations in Xiamen was checked using GIS and system dynamics, identifying unsuitable lands in Xiamen, thus validating the SOP.
Source link: https://doi.org/10.1007/s10661-022-10077-w
In this latest report, the Murredu watershed in Telangana State was selected for the morphometric and land use/land cover study. Based on morphometric and LULC results, the sub-watersheds were divided into three groups as low, moderate, and high for soil and water conservation priority. Using morphometric analysis, higher priority has been assigned to SW 12 and SW 1, while using LULC analysis, higher priorities have been assigned to SW 9 and SW 11. When using morphometric and LULC analysis, SW 10 and SW 13 are the most common sub-watersheds that fall within the same priority. The coefficient of regression results shows that stream length and stream order, as well as stream number and stream order, are all highly associated. In the high-priority sub-watersheds, soil and water conservation measures may be carried out.
Source link: https://doi.org/10.1186/s44147-022-00094-4
Although Jharkhand State has a high tourism market, the tourism potential in this area has yet to be confirmed. Since the present study was focused on delineating the tourist potential zone of Jharkhand State, using the fuzzy analytic hierarchy process and Geographical information network, the present study focused on delineating the tourism potential zone of the state. In step-4 and step-5, respectively, the estimated amount of fuzzy synthetic thickness and amplitude of fuzzy synthetic extent were estimated. The final weight vectors for each indicator were calculated in step-6, and then, in step-6. Later, the variables were embedded into the GIS platform using WLA to identify the tourism potential zones. According to the moderate tourism potential zone, an area of about 45. 7 percent was identified as the high-to-very high tourism potential zone, with 24. 97 percent showing under the moderate tourism potential zone. The methodology used in this research will aid in the development and maintenance of a local tourism blueprint for Jharkhand State.
Source link: https://doi.org/10.1007/s41685-022-00237-8
It has been a big trend to establish sustainable agricultural policies and proactive agriculture management. In Ordu Province's u00dcny District, where hazelnut production in the Eastern Black Sea region of Turkey is a significant economic activity. The model developed in the present research was applied and tested in the u00dcnye District of Ordu Province, where hazelnut production in the Eastern Black Sea region of Turkey is an important economic sector. Although 71. 17% of the study area is classified as highly suitable, highly suitable, and moderately suitable, 28. 83% of the study area has marginally suitable and unsuitable property for hazelnut raising. It was also found that the coastal areas of the study area were the most suitable areas for hazelnut growing. According to the final score estimates, climatic and topographic conditions are two main factors influencing the final score values. The study findings reveal that the hazelnut land suitability model created is appropriate in mild climate conditions.
Source link: https://doi.org/10.1007/s11356-021-18127-5
The rise in population has resulted in a dramatic rise in energy demand, sparking substantial academic curiosity in renewable energy sources worldwide. As a result, the number of solar power plants in several nations has increased in many countries. This research was designed to identify the most suitable locations for solar power plant installation in Artvin Province, Turkey's Ardanu. The study area was divided into five classes based on their suitability for solar power plant installation: very low, moderate, high, and very high. 89. 82% of the study area was not suitable for solar power plant installation and 2. 07% was classified as having poor suitability, while 4. 7 percent was moderately suitable, 1. 5 percent was highly suitable, and 1. 5 percent was extremely suitable. Solar power plant installation was also considered to be reasonably suitable in one of the areas found to be moderately suitable.
Source link: https://doi.org/10.1007/s12517-022-10129-y
For finding out information about subsurface oil and gas bearing geophysical traps, hydrocarbon exploration necessitates integration and upgrading of multi-source geoscientific data. When combined with geophysical, geochemical, and log data obtained using a geographic information system, multi-spectral aerospace remote sensing data is a key spatial geoscientific data source for hydrocarbon exploration. Satellite RS and GIS technologies have been successfully used for basin wide assessment of hydrocarbon favourable areas by integration and analysis of multi-spectral RS derived geological data on sedimentary basin, lithology, geomorphology, terrain, geological structure, geological structure, and tectonic data, among other topics. Geomorphic anomalies in the form of an anomalous drainage pattern and surface lineament linked to subsurface structural features are commonly used in onshore hydrocarbon prospecting in RS and digital elevation models, as shown by a graphical pattern. Sea surface oil slicks created from sea floor hydrocarbon seeps were discovered by a number of studies, demonstrating the use of satellite microwave synthetic aperture radar data for offshore petroleum exploration. Geoid anomalies derived from satellite estimated geoid anomalies, and the use of satellite altimetry remote sensing was also explored for offshore hydrocarbon exploration. Limited studies also discussed potential uses of thermal and UAV RS in hydrocarbon discovery. Although petroleum exploration's new and existing multi-spectral RS and GIS techniques are highly effective for petroleum exploration, in depth research studies are needed for the use of hyperspectral, polarized microwave SAR, altimetry, thermal satellite measurements, UAV RS, and GIS assisted in spatial exploration for efficiently investigating petroleum deposits.
Source link: https://doi.org/10.1007/s12524-022-01540-9
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