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  Subjects -> GEOGRAPHY (Total: 493 journals)
Showing 1 - 200 of 277 Journals sorted alphabetically
40 [degrees] South     Full-text available via subscription   (Followers: 1)
AAG Review of Books     Hybrid Journal   (Followers: 2)
AbeÁfrica : Revista da Associação Brasileira de Estudos Africanos     Open Access  
ACME : An International Journal for Critical Geographies     Open Access   (Followers: 1)
Acta Universitatis Lodziensis : Folia Geographica Socio-Oeconomica     Open Access   (Followers: 1)
Adam Academy : Journal of Social Sciences / Adam Akademi : Sosyal Bilimler Dergisi     Open Access   (Followers: 3)
Advances in Cartography and GIScience of the ICA     Open Access   (Followers: 3)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 20)
Advances in Statistical Climatology, Meteorology and Oceanography     Open Access   (Followers: 11)
Africa Insight     Full-text available via subscription   (Followers: 16)
Africa Spectrum     Open Access   (Followers: 16)
African Geographical Review     Hybrid Journal   (Followers: 2)
Afrika Focus     Open Access   (Followers: 1)
AGORA Magazine     Open Access   (Followers: 2)
Agronomía & Ambiente     Open Access   (Followers: 1)
AGU Advances     Open Access   (Followers: 1)
All Earth     Open Access   (Followers: 3)
American Journal of Geographic Information System     Open Access   (Followers: 14)
American Journal of Human Ecology     Open Access   (Followers: 11)
American Journal of Rural Development     Open Access   (Followers: 6)
Amerika     Open Access   (Followers: 1)
Anales de Geografía de la Universidad Complutense     Open Access  
Anatoli     Open Access  
Annales Universitatis Paedagogicae Cracoviensis / Studia de Cultura     Open Access  
Annals of GIS     Open Access   (Followers: 31)
Annals of the American Association of Geographers     Hybrid Journal   (Followers: 43)
Annual Review of Marine Science     Full-text available via subscription   (Followers: 13)
Antipode     Hybrid Journal   (Followers: 65)
Anuario     Open Access  
Applied Geography     Hybrid Journal   (Followers: 40)
Applied Geomatics     Hybrid Journal   (Followers: 4)
Ar@cne     Open Access  
Arctic     Open Access   (Followers: 6)
Arctic Science     Open Access   (Followers: 7)
Area Development and Policy     Hybrid Journal   (Followers: 1)
Asia Policy     Full-text available via subscription   (Followers: 6)
Asian Geographer     Hybrid Journal   (Followers: 5)
Asian Journal of Geographical Research     Open Access   (Followers: 2)
Ateneo Korean Studies Conference Proceedings     Open Access  
Atmospheric Measurement Techniques (AMT)     Open Access   (Followers: 19)
Atmospheric Measurement Techniques Discussions (AMTD)     Open Access   (Followers: 10)
Aurora Journal     Full-text available via subscription  
Australian Antarctic Magazine     Free   (Followers: 5)
Australian Geographer     Hybrid Journal   (Followers: 7)
Bandung : Journal of the Global South     Open Access   (Followers: 1)
Barn : Forskning om barn og barndom i Norden     Open Access  
Baru : Revista Brasileira de Assuntos Regionais e Urbanos     Open Access  
Belgeo     Open Access   (Followers: 2)
Biblio3W : Revista Bibliográfica de Geografía y Ciencias Sociales     Open Access  
Biogeographia : The Journal of Integrative Biogeography     Open Access   (Followers: 2)
BioRisk     Open Access   (Followers: 2)
Boletim Campineiro de Geografia     Open Access  
Boletim de Ciências Geodésicas     Open Access  
Boletim Gaúcho de Geografia     Open Access  
Boletim Goiano de Geografia     Open Access  
Boletín de Estudios Geográficos     Open Access  
Boletín de la Asociación de Geógrafos Españoles     Open Access  
Brill Research Perspectives in Map History     Full-text available via subscription   (Followers: 1)
Buildings & Landscapes: Journal of the Vernacular Architecture Forum     Full-text available via subscription   (Followers: 13)
Bulletin de la Société Géographique de Liège     Open Access  
Bulletin de l’association de géographes français     Open Access   (Followers: 1)
Bulletin of Geography. Physical Geography Series     Open Access   (Followers: 4)
Bulletin of Geography. Socio-economic Series     Open Access   (Followers: 3)
Bulletin of Geosciences     Open Access   (Followers: 12)
Bulletin of the Ecological Society of America     Open Access   (Followers: 4)
Bulletin of the Serbian Geographical Society     Open Access  
Caderno de Geografia     Open Access  
Cahiers Balkaniques     Open Access   (Followers: 2)
Cahiers Charlevoix : Études franco-ontariennes     Full-text available via subscription  
Cahiers franco-canadiens de l'Ouest     Full-text available via subscription   (Followers: 2)
California Italian Studies Journal     Full-text available via subscription   (Followers: 7)
Canadian Journal of Latin American and Caribbean Studies     Hybrid Journal   (Followers: 10)
Canadian Journal of Soil Science     Full-text available via subscription   (Followers: 11)
Cardinalis     Open Access  
Carnets de géographes     Open Access  
Cartographic Journal     Hybrid Journal   (Followers: 9)
Cartographic Perspectives     Open Access   (Followers: 2)
Cartographica : The International Journal for Geographic Information and Geovisualization     Full-text available via subscription   (Followers: 17)
Cartography and Geographic Information Science     Hybrid Journal   (Followers: 32)
Check List : The Journal of Biodiversity Data     Open Access   (Followers: 2)
China : An International Journal     Full-text available via subscription   (Followers: 20)
Climate and Development     Hybrid Journal   (Followers: 35)
Climate Change Economics     Hybrid Journal   (Followers: 52)
Comparative Cultural Studies : European and Latin American Perspectives     Open Access   (Followers: 5)
Computational Geosciences     Hybrid Journal   (Followers: 16)
Computational Urban Science     Open Access   (Followers: 1)
Confins     Open Access  
Conjuntura Austral : Journal of the Global South     Open Access   (Followers: 2)
Coolabah     Open Access  
Creativity Studies     Open Access   (Followers: 5)
Critical Romani Studies     Open Access  
Crossings : Journal of Migration & Culture     Hybrid Journal   (Followers: 16)
Cuadernos de Desarrollo Rural     Open Access  
Cuadernos de Geografía : Revista Colombiana de Geografía     Open Access  
Cuadernos de Geografía de la Universitat de València     Open Access  
Cuadernos de Investigación Geográfica / Geographical Research Letters     Open Access  
Cuadernos Inter.c.a.mbio sobre Centroamérica y el Caribe     Open Access   (Followers: 1)
Current Research in Geoscience     Open Access   (Followers: 5)
Dela     Open Access  
Dialogues in Human Geography     Hybrid Journal   (Followers: 20)
Didáctica Geográfica     Open Access  
DIE ERDE : Journal of the Geographical Society of Berlin     Open Access   (Followers: 1)
Documenti Geografici     Open Access  
Documents d'Anàlisi Geogràfica     Open Access  
Doğu Coğrafya Dergisi : Eastern Geographical Review     Open Access  
DRd - Desenvolvimento Regional em debate     Open Access  
Earth System Governance     Open Access   (Followers: 1)
Earth Systems and Environment     Hybrid Journal   (Followers: 3)
East/West : Journal of Ukrainian Studies     Open Access  
Eastern European Countryside     Open Access   (Followers: 2)
Economic and Regional Studies / Studia Ekonomiczne i Regionalne     Open Access  
Economic Geography     Hybrid Journal   (Followers: 42)
Économie rurale     Open Access   (Followers: 3)
Ecosystems and People     Open Access   (Followers: 4)
Entorno Geográfico     Open Access  
Environment & Ecosystem Science     Open Access   (Followers: 3)
Environmental and Sustainability Indicators     Open Access   (Followers: 7)
Environmental Science : Atmospheres     Open Access  
Environmental Science and Sustainable Development : International Journal Of Environmental Science & Sustainable Development     Open Access   (Followers: 13)
Environmental Smoke     Open Access  
Ería : Revista Cuatrimestral de Geografía     Open Access  
Espacio y Desarrollo     Open Access  
Espacios : Revista de |Geografía     Open Access  
Espaço & Economia : Revista Brasileira de Geografia Econômica     Open Access  
Espaço Aberto     Open Access  
Espaço e Cultura     Open Access  
Espaço e Tempo Midiáticos     Open Access  
Estudios Geográficos     Open Access   (Followers: 1)
Estudios Socioterritoriales : Revista de Geografía     Open Access  
Ethnobiology Letters     Open Access  
Ethnoscientia : Brazilian Journal of Ethnobiology and Ethnoecology     Open Access  
eTropic : electronic journal of studies in the tropics     Open Access  
Études internationales     Full-text available via subscription   (Followers: 1)
Études rurales     Open Access   (Followers: 2)
Études/Inuit/Studies     Full-text available via subscription  
European Bulletin of Himalayan Research     Open Access   (Followers: 10)
European Countryside     Open Access   (Followers: 1)
European Spatial Research and Policy     Open Access   (Followers: 9)
Evolutionary Human Sciences     Open Access   (Followers: 5)
Fennia : International Journal of Geography     Open Access   (Followers: 1)
Finisterra : Revista Portuguesa de Geografia     Open Access  
Fire Ecology     Open Access   (Followers: 3)
Florida Geographer     Open Access   (Followers: 1)
Focus on Geography     Partially Free   (Followers: 5)
Forum Geografi     Open Access  
Frontera Norte     Open Access  
GEM - International Journal on Geomathematics     Hybrid Journal   (Followers: 1)
Genre & histoire     Open Access   (Followers: 4)
Geo : Geography and Environment     Open Access   (Followers: 9)
Geo UERJ     Open Access  
Geo-Image     Open Access   (Followers: 1)
Geo-spatial Information Science     Open Access   (Followers: 8)
GeoArabia     Hybrid Journal  
Géocarrefour     Open Access  
Geochemistry, Geophysics, Geosystems     Full-text available via subscription   (Followers: 34)
Geochronometria     Open Access   (Followers: 1)
Geoderma Regional : The International Journal for Regional Soil Research     Full-text available via subscription   (Followers: 4)
Geodesy and Cartography     Open Access   (Followers: 2)
Geoforum Perspektiv     Open Access   (Followers: 1)
Geofronter     Open Access  
Geografares     Open Access  
Geografisk Tidsskrift-Danish Journal of Geography     Hybrid Journal   (Followers: 3)
Geografiska Annaler, Series A : Physical Geography     Hybrid Journal   (Followers: 4)
Geographia     Open Access   (Followers: 3)
Geographica Helvetica     Open Access   (Followers: 13)
Geographical Analysis     Hybrid Journal   (Followers: 11)
Geographical Education     Full-text available via subscription   (Followers: 2)
Geographical Journal of Nepal     Open Access  
Geographical Research     Hybrid Journal   (Followers: 11)
Geographical Review     Hybrid Journal   (Followers: 13)
Geographicalia     Open Access  
Géographie et cultures     Open Access   (Followers: 3)
Geography and Natural Resources     Hybrid Journal   (Followers: 10)
Geography and Sustainability     Open Access   (Followers: 3)
Geography Compass     Hybrid Journal   (Followers: 18)
GeoHumanities     Hybrid Journal   (Followers: 2)
GeoInformatica     Hybrid Journal   (Followers: 7)
Geoinformatics & Geostatistics     Hybrid Journal   (Followers: 13)
Geoinformatics FCE CTU     Open Access   (Followers: 7)
Geoingá : Revista do Programa de Pós-Graduação em Geografia     Open Access  
GeoJournal     Hybrid Journal   (Followers: 11)
GEOMATICA     Hybrid Journal   (Followers: 1)
Geomatics, Natural Hazards and Risk     Open Access   (Followers: 14)
GEOmedia     Open Access   (Followers: 1)
Geopauta : Revista de Geografia da Universidade Estadual do Sudoeste da Bahia     Open Access  
Geophysical Research Letters     Full-text available via subscription   (Followers: 199)
Geoplanning : Journal of Geomatics and Planning     Open Access   (Followers: 5)
GeoScape     Open Access  
Geosciences Journal     Hybrid Journal   (Followers: 11)
Geosphere     Open Access   (Followers: 2)
GEOUSP : Espaço e Tempo     Open Access  
Ghana Journal of Geography     Open Access   (Followers: 11)
Ghana Studies     Full-text available via subscription   (Followers: 15)
GIScience & Remote Sensing     Open Access   (Followers: 55)
Global Challenges     Open Access   (Followers: 2)
Global Sustainability     Open Access   (Followers: 5)
Globe, The     Full-text available via subscription   (Followers: 4)
GPS Solutions     Hybrid Journal   (Followers: 28)
Grafo Working Papers     Open Access  
HiN : Alexander von Humboldt im Netz. Internationale Zeitschrift für Humboldt-Studien     Open Access  

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Similar Journals
Journal Cover
Applied Geomatics
Journal Prestige (SJR): 0.733
Citation Impact (citeScore): 3
Number of Followers: 4  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1866-928X - ISSN (Online) 1866-9298
Published by Springer-Verlag Homepage  [2467 journals]
  • A GIS-based model for automated land suitability assessment for main crops
           

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      Abstract: Abstract The ever-increasing population causes huge pressure on the areas already inhabited and causes a decrease in an area per capita. This fact necessitates an essential demand for evaluating and classifying the soil according to its agricultural productivity for different crops. This research aimed to evaluate lands which proposed to use in the agricultural field in the south of Al-Dabaa Corridor based on remote sensed data and GIS techniques. Moreover, the future optimum agricultural use planning will be projected based on the land assessments in the study area. Land suitability was evaluated using ALES-arid software for six crops. It was found that 74% of the study area was suitable for one fruit crop, date palm, and about 77.3% for one crop, alfalfa, and also suitable for one vegetable crop, tomato, by 77.1%. Furthermore, it was found that the study area was moderately suitable for other two crops, faba bean and maize (72.7 and 67.8%), and one fruit crop, citrus (70.1%). On the other hand, it was found that the characteristics that most affected the suitability class of fruit crops were soil salinity, soil depth, ESP, slope, and coarse texture. Finally, the study area should go under major reclamation process (removal of the excess salts and improvement of the drainage conditions) in order to obtain the highest production.
      PubDate: 2022-11-30
       
  • A multisensor satellite image classification for the detection of mangrove
           forests in Qeshm Island (Southern Iran)

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      Abstract: Abstract Mangrove forests in Iran are among the complex and productive ecosystems because these types of forests directly and indirectly play a significant role for humans and the environment. This study developed a parallel land cover classification method to identify mangrove forests (mangrove forests) in southern Iran using high-resolution (~ 10 m) optical image of Sentinel-2 satellite and high-resolution (~ 10 m) synthetic aperture radar image that presents ALOS-2 satellite (dipolar). Therefore, in this paper, ALOS-2 bipolar (VV, VH) was used for land cover classification and Sentinel-2 multispectral data as reference data. Generally, GLCM textures in different window sizes were applied to the SAR data, and then all of them were subjected to PCA transformation; finally, the first three components were used as input to the maximum likelihood classification (MLC) algorithm to classify the two mangrove classes. Other lands in addition, the backscatter image was also included separately in the MLC algorithm for land cover classification. The obtained statistical results showed that when the texture with different windows is placed in the input of the ML algorithm, it has a kappa coefficient value of 0.52, and when the input is a single backscattered image, it has a higher kappa coefficient value of about 0.83. In general, the results show that the map prepared by the only backscattered image performs better and similar to the optical image used. In addition, the accumulation of GLCM texture in the dimensions of the windows reduces the accuracy of the mangrove cover map, which as a result causes an exaggerated prominence in the land cover, especially the mangrove.
      PubDate: 2022-11-23
       
  • Assessment of land use–land cover changes using GIS, remote sensing, and
           CA–Markov model: a case study of Algiers, Algeria

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      Abstract: Abstract This paper analyzes the spatio-temporal change of land use and the regression of agricultural and forest areas in the capital of Algeria “Algiers.” A methodology based on a Geographic Information System (GIS) environment and remote sensing to process and analyze a series of satellite images from 1987 to 2018 was used to categorize the soil into urban, agricultural, forestry, and water areas. In addition, a spatio-temporal simulation was performed to predict and assess changes in each land use class by 2040. These approaches were supported by a field survey of the entire study area to determine the price and availability of buildable land. Results indicated an increase in urban areas at the expense of agricultural and forest areas. This expansion is randomly driven by poor management and the need to meet increasing housing demand. Also, land prices are lower on the periphery than in the center, while the population is increasing remarkably from year to year and requires both public (roads, schools, hospitals) and private (housing, investments) facilities. The prediction model revealed a 69% urbanization of the study area by 2040 and an abusive consumption of agricultural and forest areas in urban zones. In short, this rate threatens the remaining agricultural and forest areas in the study area. These predicted results are only valid if the studied variables used in this research (demographic evolution, development of infrastructures, and socio-economic facilities) remain unchanged over the next 20 years, since the scenario considered in this research is based on a linear logic linked to past trends.
      PubDate: 2022-11-02
       
  • Quality of the deflection of the vertical obtained from global
           geopotential models in horizontal geodetic positioning

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      Abstract: Abstract Total station (TS) is widely used for geodetic positioning, especially in areas where global navigation satellite system (GNSS) positioning is restricted. In these cases, the deflection of the vertical (DoV) must be considered because measurements with TS refer to the local vertical or plumbline and not to the normal direction to the ellipsoid. This is a pioneer research that analyzes the global behavior of the DoV and evaluates the quality of the DoV obtained from global geopotential models for measurements using TS. To that end, we used about 8700 control points distributed over four continents. We concluded that the DoV can be of up to 112″ at the emerged Earth surface and can have variations of up to 60″ within 100 km and mean value of ≈7″. As for the quality of the DoV obtained by global geopotential models, both the XGM2019e and the EGM2008 showed deviations of up to 3″ in 90% of the evaluated cases. This is perfectly compatible with TS currently available, which in general have angular standard deviation of up to ± 5″. Through simulated experiments, we found that for lines of sight with zenith angles from 80 to 100°, the error effect of the DoV obtained from XGM2019e or EGM2008 is less than 3 parts per million in horizontal geodetic positioning in 90% of the evaluated cases.
      PubDate: 2022-11-02
       
  • An approach for tree volume estimation using RANSAC and RHT algorithms
           from TLS dataset

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      Abstract: Abstract Forest structure plays a crucial role in maintaining the ecosystem balance. All the biogeochemical cycles need trees for the successful execution of the processes. Nowadays, one of the most critical concerns is the accurate and precise assessment of forest biomass. The biomass assessment can be done by knowing the canopy metrics, stem volume, and specific wood gravity. This research used a terrestrial laser scanner (TLS) to retrieve tree parameters, providing point cloud data (PCD). The parameters derived from PCD are diameter at breast height (DBH) and tree height using randomized Hough transformation (RHT). With these tree parameters, the stem volume of the tree was calculated and correlated with the Forest Survey of India (FSI) equation. The radius, DBH, tree height, and stem volume were also obtained using the Random Sample Consensus (RANSAC) algorithm. The volume calculated using the RANSAC algorithm is statistically analyzed with the volume calculated with the FSI equations available for specific tree species. The R2 value obtained for the volume calculated by the RANSAC and FSI equations is 0.95. In contrast, the correlation value obtained for the volume calculated by RHT and FSI equations is 0.99. Therefore, it shows that both algorithms are highly correlated and can be used as an alternative method for stem volume calculation, which will be less time-consuming and more accurate as well as precise. This method tries to explain the alternative method to calculate tree stem volume without using the species-specific FSI equations, which may sometimes produce biases and uncertainty in calculating stem volume and biomass.
      PubDate: 2022-10-15
       
  • Correction: Positional accuracy assessment of historical Google Earth
           imagery in Lagos State, Nigeria

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      PubDate: 2022-10-14
       
  • Assessment of a dual-frequency multi-GNSS smartphone for surveying
           applications

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      Abstract: Abstract This study assesses the application of a smartphone with dual-frequency multi-constellation GNSS (Global Navigation Satellite Systems) receiver in surveying. Measurements are made with the Pixel 5 from the manufacturer Google LLC. The recorded satellite data is evaluated in post-processing with positioning methods based on code and phase observations. The focus here is led on the achievable positioning accuracies and resulting deviations of the different estimated solutions from reference points serving as ground truth. It could be shown that the Pixel 5, although it enables the recording of satellite data on two frequency bands, can only be used to a limited extent in practical surveying tasks because it does not met the accuracy requirements in the centimetre range in our experiments. The low quality of the measurement data is problematic, which is why solutions over two frequency bands and based on phase observations are only possible to a limited extent. Nevertheless, with long observation times, results with a positioning accuracy of less than half a metre can be achieved with the smartphone. Thus, the Pixel 5 can be used for applications with lower accuracy requirements such as data acquisition for Geographic Information Systems (GIS).
      PubDate: 2022-10-13
       
  • Correction: Cadastral resurvey and integration of geospatial technique
           using high-resolution satellite image (HRSI): a case study in Indian
           district

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      PubDate: 2022-10-06
       
  • Ultra-resolution unmanned aerial vehicle (UAV) and digital surface model
           (DSM) data-based automatic extraction of urban features using object-based
           image analysis approach in Gurugram, Haryana

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      Abstract: Abstract Unmanned aerial vehicles (UAV) have emerged as flexible, swift, and economical imaging systems that have proven their feasibility in urban infrastructure mapping. However, data derived from such systems are not utilized thoroughly. In this study, an object-oriented, multiresolution segmentation-based workflow is explored to automatically extract the urban features such as buildings and roads that can revolutionize the pace of existing mapping methods. This paper contemplates the automatic object-oriented-based feature extraction process on 5-cm true color ortho-rectified images and digital surface model (DSM). The data was generated using the JOUAV/CW-10 model and a Sony Camera with a 40-megapixel resolution. The segmentation procedure was implemented, defining various parameters such as scale, shape, and compactness. Here, the optimum scale, shape, and compactness parameters chosen for buildings and road segmentation are 100, 0.6, and 0.8, and 50, 0.5, and 0.9, respectively. The object-based image analysis (OBIA) results were compared to manually digitized features to assess the accuracy of the automated process. The fractal border error accuracy is calculated for urban features such as roads and buildings. The OBIA results indicated that completeness, correctness, and quality of building features were 98.2%, 97.6%, and 95.9%, respectively. Similarly, the road features’ average completeness, correctness, and quality were 85.8%, 73.8%, and 68.2%, respectively, which is on the lower side due to obscuring of roads by the avenue trees. The methodology yielded promising results for urban feature extraction with substantial accuracy and can be implemented in other areas with little fine-tuning of feature extraction parameters.
      PubDate: 2022-10-01
       
  • An application of geospatial-based multi-criteria decision-making
           technique to identify landslide susceptibility zones in the Ragnu Khola
           River Basin of Darjeeling Himalayan region, India

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      Abstract: Abstract One of the most dangerous geo-hazards, landslides cause a progressive loss of rock and soil that have a negative impact on human lives, the ecosystem, and the global economy. Darjeeling Himalaya is one of the world’s young fold mountainous areas, often suffering from landslide hazards. Hence, the study identifies the landslide susceptibility zone in the Ragnu Khola River Basin of the Darjeeling Himalayan region by applying the geospatial-based MCDM technique. This research’s major goal is to identify whether this GIS-based multi-criteria decision-making (MCDM) technique is validated or not for landslide susceptibility zones (LSZ); if validated, then how much manifests for describing the LSZ in the study area. MCDM evaluation applies to determining weight value to integrate different thematic layers of river morphometry like drainage diversity (DD) parameters and relief diversity (RD) parameters. Both DD and RD have significant impacts on landslide intensity. Hence, both layers are combined using the analytical hierarchy process (AHP) of the MCDM technique for the final LSZ. The final result has been validated by ROC analysis using landslide occurring point data obtained from the Geological Survey of India (GSI). The outcome of the study shows that 1.45% and 17.83% of areas of the region fall in “very high” and “high” LSZ, which belongs to near Mull Gaon, Sanchal forest, and Alubri basty. Most of the area (47.70%) is observed in “moderate” LSZ. Only 1.32% and 31.7% are kept in “very low” and “low” LSZ, respectively, throughout the study area. The description capability of the technique for LSZ is significant as the area under the curve (AUC) is 72.10%. The validation of the study using the frequency density of the landslides (FDL) also indicates the “very high” LSZ is associated with the maximum (2.19/km2) FDL. The work will be necessary to develop the overall socio-economic condition of such kind of tectonically sensitive region through proper and effective planning.
      PubDate: 2022-09-26
       
  • Bathymetry from satellite images: a proposal for adapting the band ratio
           approach to IKONOS data

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      Abstract: Abstract The acquisition of bathymetric data in shallower waters is difficult to attain using traditional survey methods because the areas to investigate may not be accessible to hydrographic vessels, due to the risk of grounding. For this reason, the use of satellite detection of depth data (satellite-derived bathymetry, SDB) constitutes a particularly useful and also economically advantageous alternative. In fact, this approach based on analytical modelling of light penetration through the water column in different multispectral bands allows to cover a big area against relatively low investment in time and resources. Particularly, the empirical method named band ratio method (BRM) is based on the degrees of absorption at different bands. The accuracy of the SDB is not comparable with that of traditional surveys, but we can certainly improve it by choosing satellite images with high geometric resolution. This article aims to investigate BRM applied to high geometric resolution images, IKONOS-2, concerning the Bay of Pozzuoli (Italy), and improve the accuracy of results performing the determination of the relation between band ratio and depth. Two non-linear functions such as the exponential function and the 3rd degree polynomial (3DP) are proposed, instead of regression line, to approximate the relationship between the values of the reflectance ratios and the true depth values collected in measured points. Those are derived from an Electronic Navigational Chart produced by the Italian Hydrographic Office. The results demonstrate that the adopted approach allows to enhance the accuracy of the SDB, specifically, 3DP supplies the most performing bathymetric model derived by multispectral IKONOS-2 images.
      PubDate: 2022-09-17
      DOI: 10.1007/s12518-022-00465-9
       
  • Insights into the morphometric characteristics of the Himalayan River
           using remote sensing and GIS techniques: a case study of Saryu basin,
           Uttarakhand, India

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      Abstract: Abstract The watershed’s hydrological response behavior can be elucidated by studying its various morphometric parameters with geographic information system (GIS) tools. The Saryu River, one of the major tributaries of the Ganga River system, was analyzed for a detailed study using Advanced Spaceborne Thermal Emission and Reflection (ASTER-30 m) data and topographic sheets of Survey of India. In total, 19 watersheds are identified within the basin for calculating the morphometric parameters in the linear, aerial, and relief directions. The total drainage area of the basin is 754.23 km2. Overall, the drainage pattern is dendritic to sub-dendritic and its topography, the underlying geology, and the rainfall all influence it. The study area is designated as a 6th-order basin having 3070 stream numbers with a cumulative length of 2912.44 km. The bifurcation ratio varies from 0.50 to 10, while the drainage density ranges from 0.94 to 1.33 km/km2. The physiography and the lithology of the region profoundly impact its stream order. The shape index, shape factor, and compactness coefficient indicate that the basin has moderate tectonic activity with moderate basin lag times and will take longer for peak flow to occur. In light of the study area’s relief characteristics, it has moderate to steep slopes, consequently experiencing low to moderate soil erosion. The study results can be used to formulate strategies for sustainable basin management.
      PubDate: 2022-09-15
      DOI: 10.1007/s12518-022-00461-z
       
  • Digital mapping and predicting the urban growth: integrating scenarios
           into cellular automata—Markov chain modeling

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      Abstract: Abstract Predictive modeling and land use/land cover change studies in complex systems are well advanced. Cellular automata (CA)-Markov chain (MC) can be defined as one frequently preferred method for this purpose. This paper aims to adapt the CA-MC model to the simulation of residential areas in the city. The proposed method was tested in the city center of Kastamonu, Türkiye, using four time periods: 1985, 2011, 2015, and 2021. Spatio-temporal change maps were produced using ArcGIS 10.0 software. Land use simulation of the urban center, including residence units for 2031 and 2057, was performed using the integrated CA-MC technique. The method’s suitability was demonstrated with the Kappa index of agreement values (Kstandart: 0.93; Klocation: 0.98; Kno: 0.98; and KlocationStrata: 0.95). Within the scope of the study, two different scenarios were designed as short term (S1) and long term (S2). According to the predictions for 2031, there was a residential area increase of 15% in S1 and 29% in S2. When we reach 2057, these growth values were measured as 50% according to S1 and 72% according to S2.
      PubDate: 2022-09-02
      DOI: 10.1007/s12518-022-00464-w
       
  • Positional accuracy assessment of historical Google Earth imagery in Lagos
           State, Nigeria

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      Abstract: Abstract The horizontal accuracy of historical Google Earth (GE) images at four epochs between the years 2000 and 2018, and the vertical accuracy of its elevation data within Lagos State, in Nigeria, are respectively evaluated by comparison with a very high–resolution digital orthomosaic and comparison with 558 ground control points. Two readily available 30-m digital elevation models (DEMs) — the Shuttle Radar Topography Mission (SRTM) v3.0 and the Advanced Land Observing Satellite World 3D (AW3D) DEM v2.1. — were also compared with GE elevations. A novel approach for assessing the space–time variations in the magnitude and direction of errors in GE imagery is presented. For horizontal accuracy, the root mean square errors (RMSEs) are as follows — year 2000 (16.9 m), year 2008 (16.4 m), year 2012 (6.1 m) and year 2018 (6.1 m). The most recent GE imagery (year 2018) had the least horizontal error while year 2000 had the largest horizontal error. The horizontal shift was skewed towards the western and north-western directions, indicative of systematic error. In terms of the vertical accuracy, GE elevation data had the lowest accuracy and highest RMSE of 6.21 m followed by AW3D with an RMSE of 4.39 m and SRTM with an RMSE of 3.68 m.
      PubDate: 2022-07-23
      DOI: 10.1007/s12518-022-00449-9
       
  • Producing WorldView-2 fused images of superior quality by the novel
           ELSHORA fusion technique

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      Abstract: Abstract In this study, the novel ELSHORA fusion technique was developed for the fusion of the WorldView-2 satellite panchromatic (PAN) and multispectral (MS) images. This fusion technique has the advantage of overcoming the weaknesses of the other existing fusion techniques and producing fused images of superior spectral and spatial quality for all land cover types. This technique uses a modification coefficient for each MS band according to its intersecting area with the PAN band to ensure that only the wavelengths of the MS bands within the PAN band range participate in the definition of the I image, and the I image will be a weighted average of the eight modified MS bands. These modification coefficients will help in the preservation of the original colors as well as achieve spatial and temporal transferability for the ELSHORA fusion technique. This technique also uses an additional coefficient for the NIR band in the agricultural areas to indicate the correct effect of the vegetation, as its reflectance is high in the NIR band. This vegetation coefficient will achieve the performance stability for the ELSHORA fusion technique across the different types of land cover. To evaluate the performance of the ELSHORA fusion technique, it was compared to six standard image fusion techniques: modified IHS, Ehlers fusion, hyper-spherical color space, principal component analysis, Brovey transform, and multiplicative resolution merge. These fusion techniques were utilized to merge the spatial and spectral information of four datasets of WorldView-2 satellite PAN and MS images covering different land cover types: agricultural, urban, and mixed areas. The four datasets were chosen in two different places and acquired at two different times to evaluate the spatiotemporal transferability of the ELSHORA fusion technique. The fused images were compared to the PAN and MS images, as well as to each other, statistically and visually. The results demonstrated the superiority of the ELSHORA fusion technique for all types of land cover. It can effectively generate sharper fused images without color distortion at different times and places.
      PubDate: 2022-07-21
      DOI: 10.1007/s12518-022-00451-1
       
  • Spatial–temporal prediction model for land cover of the rural–urban
           continuum axis between Ar-Riyadh and Al-Kharj cities in KSA in the year of
           2030 using the integration of CA–Markov model, GIS-MCA, and AHP

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      Abstract: Abstract The spatiotemporal analysis of land use/land cover change and monitoring, modeling, and forecasting the future of land uses are considered challenges facing planners and decision-makers in developing countries. These challenges are increased in neighborhood areas surrounding large cities, which are known as the “rural–urban continuum”. These areas have become the preferred areas for resettlement for most urban residents. The objectives of the present study were to (1) monitor the land cover change in the rural–urban continuum axis between the Ar-Riyadh and Al-Kharj cities during the period 1988–2020, (2) simulate the future growth of land cover up to the year 2030 using the Cellular Automated Markov Model (CA-Markov), and (3) improve the ability of CA-Markov to predict the future by integrating multi-criteria analysis based on geographic information systems (GIS-MCA) and analytic hierarchy process (AHP) method. The results of the study revealed large changes in the land cover in the rural–urban continuum axis between the Ar-Riyadh and Al-Kharj cities. About 60 km2 of agricultural land has been lost, with an average annual decrease of 2 km2. The industrial and urban areas were increased with growth rate of 4%. There were five categories of spatial suitability, ranging between 32 and 86%, and 70% or higher is the recommended percentage for future land uses. The industrial use was the most likely land use in 2030, as it recorded an increase of 27.1 km2 over the year 2020.
      PubDate: 2022-07-20
      DOI: 10.1007/s12518-022-00448-w
       
  • Accuracy of GNSS RTK/NRTK height difference measurement

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      Abstract: Abstract The absolute error of ellipsoidal heights that may be achieved from Real-Time Kinematic/Network Real-Time Kinematic Global Navigation Satellite Systems (RTK/NRTK GNSS) measurements varies between 3 and 5 cm. Although the vertical root mean square (RMS) error reported by receivers generally has smaller values, it can only be treated as a measure of the precision of the obtained results. Nowadays, real-time GNSS measurements are commonly used to implement surveys with increased accuracy. In some cases, it may be of concern to determine the height difference with real-time techniques than the height itself. The use of height difference may be applicable when a point with a known height is available. This offers the possibility of transferring the known height to a distant point using GNSS technology instead of geometric leveling, which is more labor-intensive. The aim of the study was to verify if achieving accuracy better than 2 cm in ellipsoidal height difference using RTK/NRTK GNSS is possible, providing special conditions of measurement. In this paper, the results of research consisting of RTK/NRTK measurement of specific points with fixed heights in various terrain conditions are presented. A single GNSS reference station was used as a base station to determine ellipsoidal height in RTK mode and Ground-Based Augmentation System (GBAS) for measurements in NRTK mode. Comparison of the ellipsoidal height difference to the results of precise leveling allows us to determine ellipsoidal height measurement errors. The measurements were carried out in open terrain, with the covered horizon (under trees) and in urbanized areas (high buildings). The method proposed by the authors in this paper does not require knowledge of the quasi-geoid model, neither normal correction to obtain measurement results.
      PubDate: 2022-07-13
      DOI: 10.1007/s12518-022-00450-2
       
  • Correction to: The interrelationship between LST, NDVI, NDBI, and land
           cover change in a section of Lagos metropolis, Nigeria

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      PubDate: 2022-06-18
      DOI: 10.1007/s12518-022-00446-y
       
  • Correction to: A novel architecture of Web-GIS for mapping and analysis of
           echinococcosis in Poland

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      PubDate: 2022-06-10
      DOI: 10.1007/s12518-022-00447-x
       
  • Groundwater potential recharge assessment in arid regions using GIS tool:
           case of the Medenine shallow aquifer (Southeastern Tunisia)

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      Abstract: Abstract Potential recharge estimation becomes a necessity for the groundwater resource management. Nevertheless, many difficulties appear in the infiltration fraction determination. In arid and semi-arid regions, groundwater represents the main sources for sectors development (industrial, agriculture, domestic). The Medenine shallow aquifer (Southeastern Tunisia) was almost used for these purposes. It belongs to arid regions, and it is characterized by a limited groundwater recharge. In this case, the main objective of the present study is the estimation of the potential recharge areas. To attempt this aim, a synthetic approach, including (i) the thematic cartography method taking into account five parameters (lithology, slope, stream network, topography and land cover) and (ii) three numerical methods: the chloride model, the Fersi equations, and the Direction Générale des Ressources en Eaux (DGRE) coefficients, was applied. Each thematic map of all models was produced via the Geographic Information Systems (GIS). The thematic cartography method parameters were overlaid using the Raster Calculate Module of GIS tool. Obtained results show a detailed spatial distribution of potential recharge according to the different used parameters, but they neglect the precipitation parameter. Hence, application of the chloride and the FERSI equations shows a similar recharge spatial distribution with a little difference. Furthermore, the DGRE coefficient application shows the more reliable results since it considers both the rainfall and the deposit permeability. The obtained results prove that the GIS tool is a powerful tool for groundwater management and the design of a suitable exploration plan.
      PubDate: 2022-06-08
      DOI: 10.1007/s12518-022-00444-0
       
 
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