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Geographical Information System - Springer Nature

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Last Updated: 21 December 2022

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Geographical Information System-Aided Landmark Recognition System Using Machine Learning

Image recognition will perform in a variety of contexts relating to human behavior, such as what type of behavior someone exhibits when driving a car. Several key neural network models, which are used in image processing, use network expanders, which are used in image processing. Learning the intricacies of features is gradually becoming more popular due to the fact that nearly all mobile devices are connected to the Internet and the fact that virtually all portable devices are connected to the Internet. The visitor purchases a digital camera and uses it to photograph the marker on a nearby server where they may be compared to the photo archive, so they can be seen here. This paper discusses an improved convolution neural and deep convolution neural network-based framework for identifying various landmarks by using machine learning [ML] algorithms.

Source link: https://doi.org/10.1007/978-981-19-3035-5_20


Erosion Susceptibility Mapping Based on Hypsometric Analysis Using Remote Sensing and Geographical Information System Techniques

Geomorphological processes within a river basin can have an effect on water supply and scarcity. To determine the effect of geomorphological processes on basin hydrology, one of the requirements for a quantitative analysis of river basin morphology must be determined. This chapter's nine sub-watersheds were selected for the Maner River basin's nine sub-watersheds. The catchment's hypsometric curve shows both the amount of rock mass and the amount of erosion occurring there in relation to the remaining mass. To find the hypsometric integral, the area under a hypsometric curve was used. The erosion process is divided into three stages: the old period, when the catchment is completely stable; the transition, or mature period; and the in-equilibrium, or early period, when the catchment is particularly vulnerable to erosion of soil is very vulnerable to erosion. These findings will aid in the establishment of appropriate water and soil conservation strategies to minimize soil erosion throughout the catchment's basin.

Source link: https://doi.org/10.1007/978-981-19-7100-6_26


Determination of Potential Sites for Landfill Using Geographic Information Systems Technology in Shatra City

Shatra, located in southern Iraq, is one of the main cities in Dhi Qar, with a total area of 1744 km2. With the ability to determine the percentage of pixels for conformity and non-conformity, two popular locations were chosen for the sanitary landfill in A B respectively, this report provides an avenue for decision-makers in selecting suitable locations for sanitary landfills.

Source link: https://doi.org/10.1007/978-981-19-7358-1_8


Remote sensing and geographic information system (GIS)-based high-resolution mapping of potential groundwater recharge zones on the hard rock terrains of the Cameroon volcanic line (CVL)

Abstract Groundwater is the major water reserve in the present context of global warming-related droughts that appear to be more widespread in hard rock terrains. This research was designed to produce a high-resolution map of potential groundwater recharge zones for the drought-stricken Banka hard rock terrain, straddling the Cameroon Volcanic Line. The main data source for that was ground-truthed through field mapping and used to produce various thematic GIS layers: geology slope, aspect, land use & land cover, drainage density, and lineament density of spatial resolution 16 million x 16 million were depicted in this page. Landsat 8 and Landsat 8 satellite images were generated from field mapping and used to produce various thematic GIS layers: map thickness, element, aspect, land use & land cover, satellite use x 16m x This research is particularly useful for groundwater monitoring in the area, as it reveals the efficiency of the procedure in difficult rock terrains where traditional methods have been less effective in properly delineating groundwater recharge zones. Groundwater is generally the safest and most reliable source of water in water-deprived environments, and it comes in both forms as surface water sinks into the ground. More places where water can reach the ground increase the chances of receiving enough groundwater. The potential groundwater recharge zones on a portion of the CVL's hardrocks were found to have moderate to high recharge potentials on a portion of the south, west-northwest, and the north-northeast areas of the area were found to be similar to high recharge potentials by RS, GIS, high-resolution field mapping, and statistical methods of blending several variables.

Source link: https://doi.org/10.1007/s42452-022-05248-w


Geographic information system-based groundwater quality assessment for drinking and irrigation purposes in transboundary aquifers of River Ravi, India

Access to safe and clean drinking water is a basic human right, and determining the appropriate water for human consumption is a vital component of providing clean and safe water. The results of the entropy water quality survey revealed that the drinking water quality was in good, safe, and medium water class, except 5 samples which were in poor to extremely poor water quality. In addition, the results of the irrigation water quality index revealed that 3 and 65 samples were placed in u2018severe limitationu2019 and u2019high restriction respectively, indicating that irrigation water is a problem for sustainable agricultural production in the agrarian dominant district.

Source link: https://doi.org/10.1007/s11356-022-24642-w


Validity of Geolocation and Distance to Exposure Sources from Geographical Information Systems for Environmental Monitoring of Toxic Metal Exposures Based on Correlation with Biological Samples: a Systematic Review

Purpose of Study In epidemiologic studies, biomarkers are the most valid way to assess individual exposure to hazardous metals because they incorporate all exposure sources. Alternatively, approximations to individual metal exposure obtained from geographic information systems have been used to evaluate various metal-related health findings. An approximation of individual metal exposure based on correlation with biological samples was to conduct a systematic review of epidemiological studies that evaluated the reliability of GIS-based geolocation and distance to pollutant sources as an approximation of individual metal exposure based on correlation with biological samples. Not all studies used distance to a location in order to compare exposed and unexposed areas. Geolocation of the individuals was used to analyze exposed and unexposed areas in the people's studies, but not so many did not. Given the convenience and affordability of modern GIS technologies, which allow environmental monitoring at a reasonable price, extra validation studies that incorporate human biosampling are required to support the use of GIS-based individual exposure measurements in epidemiologic studies.

Source link: https://doi.org/10.1007/s40572-022-00383-3


Flood hazard susceptibility areas mapping using Analytical Hierarchical Process (AHP), Frequency Ratio (FR) and AHP-FR ensemble based on Geographic Information Systems (GIS): a case study for Kastamonu, Türkiye

Multiple natural disasters are also associated with global climate change. One of the most deadly events in the Black Sea area has been the flood tragedy in Kastamonu province, primarily damaging Bozkurt district and several other districts in Tu00fcrkiye on August 11, 2021, causing both life and material destruction. In this research, various geospatial and statistical techniques were used to create flood risk susceptibility charts for Kastamonu province. The Modified Normalised Water Index on the Google Earth Engine platform's Modified Normalised Water Index indicated flooded areas, which were determined by Remote Sensing techniques. The estimated MNDWI image are divided into 70% training and 30% testing results, according to the estimated MNDWI image. The creation of flood hazard susceptibility charts was carried out by a Geographic Information Systems-based Analytical Hierarchy Process, Frequency Ratio, and Ensemble AHP-FR. On the other hand, a portion of Kastamonu province with a radius of 484. 07 km2 was identified as a moderate-risk area.

Source link: https://doi.org/10.1007/s11600-022-00882-9


Assessing groundwater potentials of Kaduna state, Northwestern Nigeria, using Geographic Information System (GIS) and Remote Sensing (RS) techniques

The subhumid and subarid terrains of Kaduna State's subtropic and subtropic terrains are areas of acute water scarcity that necessitate immediate intervention. This report combined geographic information system and remote sensing technologies for delineating groundwater potential zones around the state to provide an alternative water source for domestic and commercial uses. Around 41. 2 percent of Kaduna's total area are high and dry potential zones. Western Kaduna is more viable than the eastern portion of the state due to this presence of appropriate groundwater control factors. Borhole yield data collected around the state revealed a good prediction accuracy, with a value under curve of 0. 77. The techniques used in this study may also be used to groundwater exploration studies in several areas of N. . . . ia, especially in the northern states, where water scarcity is rampant.

Source link: https://doi.org/10.1007/s12517-022-11039-9


A comparative modeling of landslides susceptibility at a meso-scale using frequency ratio and analytic hierarchy process models in geographic information system: the case of African Alpine Mountains (Rif, Morocco)

Different landslides in Morocco's Rif mountains. This report aims at determining landslide susceptibility using two distinct strategies based on a statistical method and a heuristic approach. This report includes a detailed map illustrating the geographical distribution of three landslide categories within 892 locations. The final result is presented as six susceptibility charts of rockfalls, flows, and landslides for FR and AHP models. According to the AUC, the FR method has 88% for rock fall, 89% for flies, and 87% for landslides, while the AUC is 83%, 84%, and 76% respectively for the AHP method. Moreover, the results reveal which method to use for similar areas to produce realistic maps and help users prioritize priority areas prone to landslides.

Source link: https://doi.org/10.1007/s40808-022-01605-1

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions