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  Subjects -> AERONAUTICS AND SPACE FLIGHT (Total: 124 journals)
Showing 1 - 30 of 30 Journals sorted by number of followers
AIAA Journal     Hybrid Journal   (Followers: 1002)
SpaceNews     Free   (Followers: 778)
Journal of Spacecraft and Rockets     Hybrid Journal   (Followers: 702)
Journal of Propulsion and Power     Hybrid Journal   (Followers: 569)
Aviation Week     Full-text available via subscription   (Followers: 410)
Aerospace Science and Technology     Hybrid Journal   (Followers: 305)
Advances in Space Research     Hybrid Journal   (Followers: 295)
IEEE Transactions on Aerospace and Electronic Systems     Hybrid Journal   (Followers: 280)
Journal of Aircraft     Hybrid Journal   (Followers: 261)
IEEE Aerospace and Electronic Systems Magazine     Full-text available via subscription   (Followers: 251)
Control Systems     Hybrid Journal   (Followers: 235)
Acta Astronautica     Hybrid Journal   (Followers: 220)
Gyroscopy and Navigation     Hybrid Journal   (Followers: 177)
Journal of Navigation     Hybrid Journal   (Followers: 176)
Journal of Guidance, Control, and Dynamics     Hybrid Journal   (Followers: 165)
Aircraft Engineering and Aerospace Technology     Hybrid Journal   (Followers: 139)
Space Science International     Open Access   (Followers: 117)
Space Science Reviews     Hybrid Journal   (Followers: 92)
Propulsion and Power Research     Open Access   (Followers: 89)
International Journal of Aerospace Engineering     Open Access   (Followers: 86)
Progress in Aerospace Sciences     Full-text available via subscription   (Followers: 82)
Advances in Aerospace Engineering     Open Access   (Followers: 74)
Journal of Aerospace Engineering     Full-text available via subscription   (Followers: 66)
Aerospace     Open Access   (Followers: 64)
Journal of Aerospace Information Systems     Hybrid Journal   (Followers: 57)
Space Safety Magazine     Free   (Followers: 50)
International Journal of Aerodynamics     Hybrid Journal   (Followers: 46)
IEEE Transactions on Circuits and Systems I: Regular Papers     Hybrid Journal   (Followers: 43)
Space Research Today     Full-text available via subscription   (Followers: 43)
Proceedings of the Institution of Mechanical Engineers Part G: Journal of Aerospace Engineering     Hybrid Journal   (Followers: 42)
International Journal of Aeroacoustics     Hybrid Journal   (Followers: 37)
International Journal of Aerospace Sciences     Open Access   (Followers: 36)
Canadian Aeronautics and Space Journal     Full-text available via subscription   (Followers: 31)
Space Policy     Hybrid Journal   (Followers: 30)
Journal of Space Weather and Space Climate     Open Access   (Followers: 30)
CEAS Aeronautical Journal     Hybrid Journal   (Followers: 30)
Journal of Aerodynamics     Open Access   (Followers: 27)
Journal of Aerospace Information Systems     Hybrid Journal   (Followers: 27)
Egyptian Journal of Remote Sensing and Space Science     Open Access   (Followers: 25)
Russian Aeronautics (Iz VUZ)     Hybrid Journal   (Followers: 23)
International Journal of Aerospace Innovations     Full-text available via subscription   (Followers: 23)
Aviation Psychology and Applied Human Factors     Hybrid Journal   (Followers: 23)
Aerospace Medicine and Human Performance     Full-text available via subscription   (Followers: 22)
International Journal of Aerospace Psychology     Hybrid Journal   (Followers: 22)
Journal of Aerospace Engineering & Technology     Full-text available via subscription   (Followers: 22)
Journal of Wind Engineering and Industrial Aerodynamics     Hybrid Journal   (Followers: 21)
Artificial Satellites     Open Access   (Followers: 21)
Fatigue of Aircraft Structures     Open Access   (Followers: 21)
Research & Reviews : Journal of Space Science & Technology     Full-text available via subscription   (Followers: 20)
Frontiers in Aerospace Engineering     Open Access   (Followers: 20)
International Journal of Space Structures     Full-text available via subscription   (Followers: 19)
Nonlinear Dynamics     Hybrid Journal   (Followers: 19)
Chinese Journal of Aeronautics     Open Access   (Followers: 19)
Proceedings of the Human Factors and Ergonomics Society Annual Meeting     Hybrid Journal   (Followers: 16)
International Journal of Satellite Communications Policy and Management     Hybrid Journal   (Followers: 15)
Frontiers in Astronomy and Space Sciences     Open Access   (Followers: 15)
Journal of Aircraft and Spacecraft Technology     Open Access   (Followers: 15)
Advances in Aerospace Science and Technology     Open Access   (Followers: 14)
International Journal of Space Science and Engineering     Hybrid Journal   (Followers: 13)
Aviation     Open Access   (Followers: 12)
International Journal of Micro Air Vehicles     Open Access   (Followers: 11)
Journal of Airline and Airport Management     Open Access   (Followers: 11)
Journal of the Astronautical Sciences     Hybrid Journal   (Followers: 11)
International Journal of Space Technology Management and Innovation     Full-text available via subscription   (Followers: 11)
Population Space and Place     Hybrid Journal   (Followers: 10)
Journal of Aviation Technology and Engineering     Open Access   (Followers: 10)
Journal of Aeronautical Materials     Open Access   (Followers: 10)
Aerospace Systems     Hybrid Journal   (Followers: 10)
International Journal of Crashworthiness     Hybrid Journal   (Followers: 10)
Journal of Aerospace Technology and Management     Open Access   (Followers: 10)
Aeronautical Journal, The     Hybrid Journal   (Followers: 9)
Journal of the American Helicopter Society     Full-text available via subscription   (Followers: 9)
International Journal of Aviation, Aeronautics, and Aerospace     Open Access   (Followers: 9)
International Journal of Aviation Technology, Engineering and Management     Full-text available via subscription   (Followers: 8)
Journal of Space Safety Engineering     Hybrid Journal   (Followers: 8)
International Journal of Applied Geospatial Research     Hybrid Journal   (Followers: 7)
Transportmetrica A : Transport Science     Hybrid Journal   (Followers: 7)
Aerospace technic and technology     Open Access   (Followers: 7)
Aviation in Focus - Journal of Aeronautical Sciences     Open Access   (Followers: 7)
New Space     Hybrid Journal   (Followers: 6)
Space and Polity     Hybrid Journal   (Followers: 6)
Aerotecnica Missili & Spazio : Journal of Aerospace Science, Technologies & Systems     Hybrid Journal   (Followers: 6)
Civil Aviation High Technologies     Open Access   (Followers: 6)
Air Medical Journal     Hybrid Journal   (Followers: 6)
REACH - Reviews in Human Space Exploration     Full-text available via subscription   (Followers: 5)
RocketSTEM     Free   (Followers: 5)
International Journal of Sustainable Aviation     Hybrid Journal   (Followers: 5)
Journal of Astrobiology & Outreach     Open Access   (Followers: 5)
Life Sciences in Space Research     Hybrid Journal   (Followers: 5)
International Journal of Aviation Management     Hybrid Journal   (Followers: 5)
Cosmic Research     Hybrid Journal   (Followers: 5)
Journal of Spatial Science     Hybrid Journal   (Followers: 4)
Journal of KONBiN     Open Access   (Followers: 4)
Astrodynamics     Hybrid Journal   (Followers: 4)
International Journal of Aeronautical and Space Sciences     Hybrid Journal   (Followers: 4)
Unmanned Systems     Hybrid Journal   (Followers: 4)
Transport and Aerospace Engineering     Open Access   (Followers: 4)
Open Aerospace Engineering Journal     Open Access   (Followers: 4)
Problemy Mechatroniki. Uzbrojenie, lotnictwo, inżynieria bezpieczeństwa / Problems of Mechatronics. Armament, Aviation, Safety Engineering     Open Access   (Followers: 3)
Microgravity Science and Technology     Hybrid Journal   (Followers: 3)
Journal of the Australasian Society of Aerospace Medicine     Open Access   (Followers: 3)
npj Microgravity     Open Access   (Followers: 3)
ASTRA Proceedings     Open Access   (Followers: 3)
MAD - Magazine of Aviation Development     Open Access   (Followers: 3)
Ciencia y Poder Aéreo     Open Access   (Followers: 3)
Journal of Aviation/Aerospace Education & Research     Open Access   (Followers: 2)
Advances in Astronautics Science and Technology     Hybrid Journal   (Followers: 2)
Journal of Engineering and Technological Sciences     Open Access   (Followers: 2)
IEEE Journal on Miniaturization for Air and Space Systems     Hybrid Journal   (Followers: 2)
Perspectives of Earth and Space Scientists i     Open Access   (Followers: 1)
Investigación Pecuaria     Open Access   (Followers: 1)
Transactions on Aerospace Research     Open Access   (Followers: 1)
Вісник Національного Авіаційного Університету     Open Access   (Followers: 1)
Science and Education : Scientific Publication of BMSTU     Open Access   (Followers: 1)
Spatial Information Research     Hybrid Journal   (Followers: 1)
Xibei Gongye Daxue Xuebao / Journal of Northwestern Polytechnical University     Open Access  
Mekanika : Jurnal Teknik Mesin i     Open Access  

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Journal Cover
Spatial Information Research
Number of Followers: 1  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 2366-3286 - ISSN (Online) 2366-3294
Published by Springer-Verlag Homepage  [2469 journals]
  • Spatio-temporal changes pattern in the hotspot's footprint: a case study
           of confirmed, recovered and deceased cases of Covid-19 in India

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      Abstract: Abstract Hotspot detection and the analysis for the hotspot's footprint recently gained more attention due to the pandemic caused by the coronavirus. Different countries face the effect of the virus differently. In India, very little research has been done to find the virus transmission. The paper's main objective is to find changing pattern of the footprint of the hotspot. The confirmed, recovered, and deceased cases of the Covid-19 from April 2020 to Jan 2021 is chosen for the analysis. The study found a sudden change in the hotspot district and a similar change in the footprint from August. Change pattern of the hotspot's footprint will show that October is the most dangerous month for the first wave of the Corona. This type of study is helpful for the health department to understand the behavior of the virus during the pandemic. To find the presence of the clustering pattern in the dataset, we use Global Moran’s I. A value of Global Moran’s I greater than zero shows the clustering in the data set. Dataset is temporal, and for each type of case, the value Global Moran’s I > 0, shows the presence of clustering. Local Moran’s I find the location of cluster i.e., the hotspot. The dataset is granulated at the district level. A district with a high Local Moran’s I surrounded by a high Local Moran’s I value is considered the hotspot. Monte Carlo simulation with 999 simulations is taken to find the statistical significance. So, for the 99% significance level, the p-value is taken as 0.001. A hotspot that satisfies the p-value threshold is considered the statistically significant hotspot. The footprint of the hotspot is found from the coverage of the hotspot. Finally, a change vector is defined that finds the pattern of change in the time series of the hotspot’s footprint.
      PubDate: 2022-05-14
       
  • Investigating effect of COVID-19 on NO2 density using remote sensing
           products (case study: Tehran province)

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      Abstract: Abstract The first case of COVID-19 was detected in Iran on February 19, 2020. From the beginning of the pandemic, some restrictions have been imposed to reduce the spread of the pandemic, which have led to the reduction or temporary closure of some industrial, construction, and transportation sectors. These sectors are typically some sources of pollutants induced to the atmosphere. The purpose of this study was to investigate the impact of the restrictions caused by the pandemic, on the concentration of nitrogen dioxide (NO2) in the atmosphere of Tehran province. Average daily and monthly NO2 concentrations from the TROPOMI sensor of Sentinel-5P satellite before and after the pandemic (i.e., February 20 to August 19, 2020, and February 20 to August 19, 2019) were used. The results showed that the average NO2 concentration in the mentioned period in 2020 was equal to 168.09 μmol/m2, which compared to 2019 (195.11 μmol/m2), had a decrease of 13.85%. Therefore, the imposed restrictions to reduce the prevalence of COVID-19 in Tehran province have an impact on the temporary decrease in NO2 concentration. It is recommended that after the end of the pandemic and the reconstruction of economic and industrial activities, measures will be taken to monitor the urban environmental loads and improve the air quality.
      PubDate: 2022-05-05
       
  • Computing traffic accident high-risk locations using graph analytics

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      Abstract: Abstract Several studies on traffic accident hot spots have adopted spatial statistics and Geographic Information Systems where spatial point patterns are modelled solely on spatial dependence without consideration of the temporal dependence of the events. This could lead to under-estimation or over-estimation of results because of the temporal aggregation of the events to an absolute time point. Furthermore, traffic accidents are usually considered as events occurring randomly in two-dimensional geographic space. However, traffic accidents are network-constrained events. In this study, we adopt the connectivity of graph on a network space approach that identifies accident high risk-locations based on space–time-varying connectivity between traffic accident events and the road network geometry. A simple but extensible traffic accident space time-varying graph (STVG) model is developed and implemented using traffic accident data from 2010 to 2015 for Brevard County in Florida, United States. Traffic accident high risk-locations were identified and ranked in space and time using time-dependent degree centrality and PageRank centrality graph metrics respectively through time-incremental graph queries. In the analysis, traffic accident patterns were discovered based on network graph analytics. Our findings offer a new and efficient approach for identifying, ranking and profiling accident-prone areas in space and time at different scales.
      PubDate: 2022-05-03
       
  • GIS based infrastructure planning of Cold Storages for Crop Preservation:
           a case study of Kolar District, Karnataka

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      Abstract: Abstract Infrastructure plays a vital role in the growth, performance, and alleviating poverty of a country. India is the second-largest producer of agriculture, requires proper infrastructure like roads, storage facilities, etc. which makes the development, location, and the number of cold storages vital in reducing the expenditure for the farmers as well as ensuring food security. Kolar district, situated in the South-eastern part of Karnataka is a leading producer of fruits and vegetables and faces a shortage of proper infrastructure for agriculture. An attempt is done to use geospatial technologies for analyzing the existing cold storage facilities in the district. The study reveals that the district faces a severe shortage of cold storage and is not evenly distributed which makes the farmer travel long distances to the nearest such facility. The spatial clustering-based approach is used to propose locations for new cold storage facilities. The study reveals that the study area requires a total of 50 new cold storage distributed throughout the district and proposed cold storage facilities will reduce the maximum distance to the nearest cold storage from 50.97 km to 13.98 km.
      PubDate: 2022-04-19
       
  • Spatial and temporal analysis of acute respiratory infections (ARIs) in
           Southern Punjab, Pakistan

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      Abstract: Abstract Acute Respiratory Infections (ARI) is a main health issue of Pakistan. This study deals to visualize the spatial distribution of ARIs in first instance and further to investigate their underlying temporal pattern in Bahawalpur district of Southern Punjab Pakistan. The main purpose is to measure spatial patterns of ARIs which might be helpful for better understanding its environmental determinants and leads to hypothesis generation for further investigation. Study design selected to conduct this research is of descriptive and exploratory nature. Epidemiological data of ARIs was collected mainly through 115 health centres from the study area for year 2010 to 2012 and was used to map spatial patterns of ARIs through Inverse distance weighted (IDW) spatial interpolation and Spatial Autocorrelation and Cluster Outlier Analysis. Results show that the clusters of ARIs were found mainly around urban units of tehsils. The study also suggests the set of remedies and policy changes addressing the local environmental problems and to reducing the incidence of ARIs through collaboration of local government and community.
      PubDate: 2022-04-15
       
  • Exploring COVID-19 incidence hotspot in Metropolitan area of Pakistan
           using geo-statistical approach: a study of Lahore city

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      Abstract: Abstract Globally, COVID-19 is a top level public health concern. This paper is an attempt to identify and assess COVID-19 incidence hotspots in Metropolitan area of Pakistan using geo-statistical approach. The study is based on secondary data. The COVID-19 confirmed cases record (15/03/2020 to 15/04/2020) of entire Metropolitan area is obtained from hospitals and National Institute of Health website. Point-level geo-coding technique was applied on patient’s record and the relative location was converted into absolute location. Getis-Ord Gi* statistical model was applied in ArcGIS 10.3 to calculate Z-score and P values for each point location representing the COVID-19 incidence intensity. Then inverse distance weighted technique of spatial interpolation was applied on Z-score and spatial clusters of crime were geo-visualized in the form hotspot and cold spot. Spatially, more than 50% of land area of Allama Iqbal, Samanabad, Gulburg and Cantonment is covered by very high incidence zone which is surrounded by high incidence zone whereas Ravi, Shalimar, and north of Wagha and Aziz Bhatti towns are located in very low incidence zone. This study provides a suitable methodological framework for identification and analysis infectious disease hotspots. The study can also facilitate health and related authorities to fight war against COVID-19. Similarly, it can help policy makers to manage the movement of travelers and restrict social interaction.
      PubDate: 2022-04-10
       
  • A crop rotation model for Marinduque, Philippines

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      Abstract: Abstract Crop production faces an increasing threat due to anthropogenic activities and natural hazards. Crop rotation is a tool that can address these issues in crop production. This study proposes an optimization model that generates a crop rotation plan using spatiotemporal suitability scores given a set of crops, with an objective to maximize the total suitability of the assignment of crops while satisfying principles of crop rotation such as suitability threshold and crop succession requirements. Biophysical and climatic characteristic data from Marinduque, Philippines, with upland rice, corn, and mungbean as crops, were used to validate the model. The results show that with a minimum suitability threshold of 0.6, an optimal crop rotation plan for one annual cycle included corn and mungbean for one (May to October) and two (June to August, September to November) cropping periods, respectively. Throughout each cropping period, the corn and mungbean will cover 46.64% and 10.33% of the arable land, respectively. Based on the crop rotation plan, corn can be cultivated along the shorelines except in the southeast area of the island, where mungbean is more suitable. The results suggest that other crops should be considered since the current set of crops leaves 43% of the arable land unutilized. This model can be used for any combination of crops and other spatiotemporal suitability factors, allowing it to be applied to different sites and scenarios.
      PubDate: 2022-04-08
       
  • Exploring spatial distribution pattern of COVID-19 incidence in Telangana
           state, India

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      Abstract: Abstract The outbreak of coronavirus (COVID-19) disease is essentially considered as a severe global public health disaster and the biggest challenge that the people have met since the Second World War. The main aim of present study is to comprehend the frequency trends of total confirmed cases, currently active cases, total recovery cases, deceased rate, and their distribution pattern in the mainland of Telangana, India. As demonstrated in this study, during the first lockdown, the slopes of the confirmed cases, active cases, and mortality cases were kept increasing. In the middle of the potential second-term lockdown, the daily active incidence trend was progressively declined while the growth of the recovery rate was steadily increased. Results describe that the strict implementation of the lockdown procedure has tremendously built confidence in order to flattering the COVID-19 epidemic curve. Moreover, spatial distribution of confirmed cases of COVID-19 indicates that higher cases were recorded in Hyderabad and its surrounding areas of the investigated region. The outcome of this study will assuredly be helpful for executing certain precautionary measures and definite health policies to regulate the spread of COVID-19 in Telangana, India.
      PubDate: 2022-04-01
       
  • Quantifying vertical land motion at tide gauge sites using permanent
           scatterer interferometric synthetic aperture radar and global navigation
           satellite system solutions

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      Abstract: Abstract One of the consequences of climate change is sea level rise (SLR). Near the coast SLR varies at different locations due to the contributions from regional/local climatic and non-climatic factors. Vertical land motion (VLM) can affect the accuracy of sea level observations from tide gauges (TG) that may exacerbate coastal area inundation/flooding. This study investigated the viability of Permanent Scatterer Interferometric Synthetic Aperture Radar (PSInSAR) to quantify the rate of VLM at the TG sites. Measurements from TG co-located GNSS receivers provide the actual VLM rates and ground truth for PSInSAR-derived rates. Based on the results from the 9 study sites, almost all except one are subsiding. Both PSInSAR and GNSS solutions showed the same trend with rates that correlate at 0.89. Analysis from 20 Active GNSS stations showed 95% of the sites are undergoing land subsidence. This should be a cause of concern for communities near the coastal areas.
      PubDate: 2022-04-01
       
  • Optimal route planning for day tours in Marinduque, Philippines

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      Abstract: Abstract Island day tours have become a ubiquitous inclusion in travel itineraries. Marinduque is one of the Philippine islands where its major tourist attractions can be covered by day tours. This study determines an itinerary of select tourist spots for island day tours in Marinduque. The longitude, latitude of each tourist spot and the pairwise road distances were determined. Every tour was assumed to start and end at the same point, either at Marinduque Airport or at Balanacan Port, and would last for at most 8 h. To determine the optimal route for the different types of tours (general and themed), an integer programming model was formulated. Balanacan port is the point of origin for three of the four identified tours. The general tour is the ideal choice for those who want to maximize theme diversity. The history-themed and church-themed tours are covered in at least three of the four tours. All tours ran from 7.5 to 8 h. All themed-tours covered their themed points except for the cave-themed. All points except one were visited in at least one tour. Three of the four pilgrim points were visited in all tours, while the cave sites were only visited in the cave-themed tour. The results of this study are beneficial to the community of Marinduque, as these will contribute to the tourism management plan of the province. The model may be extended to consider other tourist destinations.
      PubDate: 2022-04-01
       
  • Positive impact of COVID-19 induced lockdown on the environment of
           India’s national capital, Delhi

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      Abstract: Abstract The rapid emergence of novel coronavirus disease has shown some positive impact on the health of natural environment. Present study was aimed to assess the impact of COVID-19 induced lockdown on the water quality of Yamuna River and air quality of national capital territory, Delhi. Significant decline in air quality pollutants like NH3, SO2, CO, PM2.5, NO2 were observed. The major decline was found in the levels of PM2.5, SO2, NO2 and NH3. The less significant decline was seen in the CO level during the lockdown period. Furthermore, the overall decline in the concentrations of BOD, COD and increase in pH suggesting an improvement in Yamuna water during the lockdown. However, the concentration of DO was found insignificant during the lockdown period. Additionally, comparative analysis of morbidity, mortality as well causalities during this period has also been recorded to establish correlation of pre and post COVID-19 situations. Altogether, present study is found to be a useful supplement for policymakers because marked improvements in the water and air quality indices have been observed after enforcement of lockdown leading to control of the various pollution sources. Therefore, periodical lockdown can be utilized as an effective mitigation measures for natures’ restoration.
      PubDate: 2022-04-01
       
  • Exploring the spatial distribution of domestic debt in Nigeria

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      Abstract: Abstract The rapid growth in domestic debt in Nigeria, coupled with the high level of debt servicing is a huge challenge given its negative impact on economic development. However, there is scanty evidence on the spatial disparities and the correlates of rising domestic debt in Nigeria. Moreover, are the high or low amounts of debt a function of the spatial variations in socio-economic, macro-economic and political economy factors' Hence, this study examined the spatial distribution of domestic debt and determined to what extent socio-economic, macro-economic and political economy factors are associated with state-level variations in domestic debt. Spatial statistics of Global and Local Moran’s I were used to examine the patterns of domestic debt while ordinary least squares model and spatial error model were applied to determine the correlates. Results show that there was significant clustering of domestic debt while population density and corruption were the significant predictors of the spatial pattern. The study recommends the need to closely monitor states with large population size so as to void the debt trap and leverage the potentials of human capital. Also, corruption at all levels of government should be curtailed.
      PubDate: 2022-04-01
       
  • Evaluating the impact of flood inundation with the cloud computing
           platform over vegetation cover of Ganga Basin during COVID-19

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      Abstract: Abstract Around the month of July 2020, the people suffering from the COVID-19 pandemic got added burden of disastrous floods. The current study tries to understand the impact of flood inundation on the vegetation cover across the Ganga Basin with the help of a cloud-based computing platform like Google Earth Engine (GEE) in a near real-time scenario. This offers a semi-automatic scheme with customized algorithms to process the large scale of datasets to further analyze and derive the required information from space-based satellite images like Synthetic Aperture Radar (SAR) images. The direct impact of floods on vegetation cover is assessed with the satellite-derived normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI). The results of post-flood NDVI and EVI readings showed a considerable reduction due to the protracted flood water submergence. The results show the flood extent maps for the selected regions for the lower Ganga Basin having inundations in parts of Bihar and West Bengal. This affects the settlements, agricultural land, and vegetation cover with damage to the large population. The outcomes of the work may be utilized to assess the precise flood-inundated areas at a faster rate to offer a faster response even in the pandemic.
      PubDate: 2022-04-01
       
  • The Evolution of Lighting in South-West India from Night-Time Lights:
           2012–2020

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      Abstract: Human-induced alterations of the landscape and the same driven climate changes are seriously making drastic changes in the processes on the Earth's surface, regionally and globally. Visible Infrared Imaging Radiometer Suite (VIIRS) night-time light datasets can precisely detect the intensity and scope of human activities. Accurate and temporal monitoring of urban areas and urban sprawls is highly imperative to the detection and assessment of regional development of a region. This study quantitatively assessed and mapped the light extents and urban region in Kerala, one of the southwest Indian states from 2012 to 2020 with the help of low light imaging day/night band data collected from the VIIRS and utilised VIIRS night time Lights V.2 time series from the monthly averages with filtering to eliminate extraneous features such as aurora, biomass burning, and background. ISOCLUSTER based classification and the threshold methods are used for the light extent and urban region extraction respectively. The result indicated that the Kerala State experienced very high urbanization from 2012 to 2019. But in the case of 2020, there was a decrement in the radiance due to the lockdown and night curfews followed by the COVID-19 global pandemic. Normal life including transportation, industries, and business, etc. was affected much before the national lockdown in Kerala. It was proved with the help of time series data generated from mid-2019 to the end of 2020. The time-series data was generated with 580 night light datasets of NASA’s Black Marble VNP46A2 from 1st June 2019 to 31st December 2020 on daily basis. Graphical abstract
      PubDate: 2022-04-01
       
  • Can the nation-wide COVID-19 lockdown help India identify region-specific
           strategies for air pollution'

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      Abstract: Abstract Air pollution is a serious concern with the developing economics in India and gets more severe when it has major cities ranked among the top 30 polluted cities worldwide. To find a solution, different programs and/or policies have been launched for air quality management country-wide. Unfortunately, no such plan could effectively solve the purpose rather than an unexpected COVID-19 pandemic situation in India. Our study focused on the air pollution status and air quality index (AQI) in 42 cities (that includes 6 metros) representing North, South, East, West, Central, and North-East region of India during the pre-lockdown, four lockdowns and unlock phases. The results depict most of the pollutants except ozone (O3) were significantly reduced in the lockdown-1, and marginally increased in subsequent lockdown phases. Regarding the average AQI, its value was highest in North Indian cities (227), followed by East India (172), Central India (141), North-East India (130), West India (124), and South India (83) during the pre-lockdown. Due to COVID-19 induced lockdown, North Indian cities observed the highest dip in average AQI (108), followed by Central India (113), East India (82), West India (73), South India (55), and North-East India (49) in the lockdown and unlock phases. Thus, the study gave a conspicuous vision on mitigation of air pollution under this pandemic; and, if strategic centralized policies are sensibly implemented and by involving the participation of people of India, then there is a feasibility of air pollution issue management.
      PubDate: 2022-04-01
       
  • Characterizing malaria spatial distribution in the province of Palawan,
           Philippines

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      Abstract: Abstract Palawan, an island province in the Philippines, accounts for ninety percent of the country’s malaria cases. A total of 18 of 23 municipalities and one city in Palawan remain malaria-endemic, placing the population at risk of infection despite continuous preventive measures. This study describes trends and analyzes the spatial distribution of confirmed malaria cases in Palawan during eleven-year period (2005–2015). The reported monthly positive malaria cases per municipality from 2005 to 2015 were obtained from the Provincial Health Office, which was aggregated and used in trend and spatial analysis. High malaria risk areas were determined using the Moran’s I and Getis-Ord Gi*. The Mann–Kendall test results revealed that there had been a significant downward trend of confirmed positive cases from 2005 to 2015, with transmission peaks in 2007 and 2010. Among the three districts in the province, district 2 reported the highest total cases comprising 65 percent of the province’s total reported malaria cases, followed by district 3 with 20 percent, and 15 percent were from district 1. High malaria concentration was observed in municipalities located in the southern part of the province, including Rizal, Narra, Brooke’s Point, Sofronio Española, and Bataraza (in district 2). Puerto Princesa City (in District 3) was among the municipalities with high malaria transmission during 2005–2011. The results of this study could help in determining targeted malaria control interventions and prioritizing resource allocation for areas with high malaria transmission for future public health planning. This would also contribute to efforts of the public and private sectors to eliminate malaria in Palawan Province by 2030.
      PubDate: 2022-04-01
       
  • Assessment of temporal shifting of PM2.5, lockdown effect, and influences
           of seasonal meteorological factors over the fastest-growing megacity,
           Dhaka

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      Abstract: Abstract Dhaka is subjected to high pollution levels throughout the year, holding some relatively high amounts of pollution readings, making its air unhealthy to breathe. The study examined hourly, shifting, seasonal fluctuations in particulate matter (PM2.5), the effects of seasonal meteorological variables, and the lockdown effect over the megacity of Dhaka from 2019 to 2021 using data from AirNow. The results indicate the daily average PM2.5 concentration between 2019 and 2021 was 112.49 µg/m3, about four times higher than the WHO limit and two times higher than the Bangladesh standard. Daily PM2.5 concentrations was high during morning and evening pick-up hours, reaching a maximum hourly concentration of 472.9 µg/m3 in February 2020. The maximum average PM2.5 concentration was 211.23 µg/m3 in March 2021 (winter season), and the lowest average was 27.58 µg/m3 in August 2020 (rainy season). The Pearson correlation coefficient (r) between the PM2.5 and meteorological variables were inverse with rainfall (− 0.62), temperature (− 0.73), humidity (− 0.82), but positive with wind (0.09). Daily average Air Quality Index (AQI) concentrations improved from 108.53 to 67.99 µg/m3 during the lockdown period. Finally, the study recommended many mitigation strategies that might assist accountable authorities in lowering the number of life-threatening components in the air.
      PubDate: 2022-03-19
       
  • A bivariate statistical analysis for coal exploration within parts of the
           Anambra Basin in Nigeria

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      Abstract: Abstract The Anambra Basin is rich in coal, and can be investigated regionally using predictive models developed with Geographic Information System (GIS). Several spatial and statistical approaches were employed in this study to determine the most prospective location for coal deposits, with a focus on accuracy and reliability. The relationship between coal occurrence and evidential data was assessed using the prediction area plot analysis, and coal predictive maps were developed using bivariate statistical models such as the Evidential Belief function (EBF), Statistical Index (SI), and Frequency Ratio (FR) models. The accuracy of all predictive models was assessed using the Receiver Operating/Area Under Curve (ROC/AUC) analysis. The application of prediction area plot analysis suggests a substantial correlation can be established between coal resources and spatial data on geology (0.75) and lineament density (0.74). Based on spatial data integration using bivariate models, the north-central and south-central parts of the study area have a high potential for coal occurrence. Comparatively, the very high potential class accounts for 5.3%, 3.64%, 7.14%, and 2.04%, respectively, in the EBF, Uncertainty, SI and FR models. Statistical validation using the ROC/AUC analysis demonstrated prediction accuracies of 83%, 79%, 78%, and 82%, respectively, for the belief, uncertainty, SI, and FR models. In general, GIS predictive modelling for coal resource exploration is strongly recommended in the Anambra Basin and other sedimentary basins with similar geological settings.
      PubDate: 2022-03-16
       
  • Methods in the spatial deep learning: current status and future direction

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      Abstract: Abstract A deep neural network (DNN), evolved from a traditional artificial neural network, has been seamlessly adapted for the spatial data domain over the years. Deep learning (DL) has been widely applied for a number of applications and a variety of thematic domains. This article reports on a systematic review of methods adapted in major DNN applications with remote sensing data published between 2010 and 2020 aiming to understand the major application area, a framework for model development and the prospect of DL application in spatial data analysis. It has been found that image fusion, change detection, scene classification, image segmentation, and feature detection are the most commonly used application areas. Based on the publication in these thematic areas, a generic framework has been devised to guide a model development using DL based on the methods followed in the past. Finally, recent trends and prospects in terms of data, method, and application of deep learning with remote sensing data are discussed. The review finds that while DL-based approaches have the potential to unfold hidden information, they face challenges in selecting the most appropriate data, methods, and model parameterizations which may hinder the performance. The increasing trend of application of DL in the spatial domain is expected to leverage its strength at its optimum to the research frontiers.
      PubDate: 2022-02-21
      DOI: 10.1007/s41324-021-00425-2
       
  • A content-based analysis to identify the influence of COVID-19 on sharing
           economy activities

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      Abstract: Abstract Activities related to Sharing economy (SE) are in a vulnerable position globally due to the COVID-19 pandemic. SE businesses related to the transport and accommodation sectors are considered riskier than others, and the pandemic has only increased concerns. As such, assessing the COVID-19 pandemic’s impact on the SE is crucial. This study aims to identify the influence of COVID-19 on SE activities. Journal and news articles, blog posts, YouTube videos, and printed and televised news have been considered as data sources for this study. Using content analysis, the study showcases how SE activities are adjusting to the pandemic-induced business landscape. The study examined SE status from four stakeholders’ viewpoints—service providers (SPs), service receivers (SRs), SE firms, and regulatory bodies (RBs). The study's findings suggest that the pandemic-induced lockdown significantly impacted job sectors, increased health risk, anxiety, reduced safety, and income for SE firms. SPs, and SRs worldwide are facing tremendous difficulties operating their activities, frequently changing guidelines to support SPs by financial assistance and SRs by standard services during the COVID-19. This study will help respective authorities and government organizations to determine the appropriate strategies for SE firms to advance their services during critical situations.
      PubDate: 2022-02-03
      DOI: 10.1007/s41324-022-00433-w
       
 
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