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  Subjects -> AERONAUTICS AND SPACE FLIGHT (Total: 123 journals)
Showing 1 - 30 of 30 Journals sorted alphabetically
Acta Astronautica     Hybrid Journal   (Followers: 497)
Advances in Aerospace Engineering     Open Access   (Followers: 70)
Advances in Aerospace Science and Technology     Open Access   (Followers: 8)
Advances in Astronautics Science and Technology     Hybrid Journal   (Followers: 1)
Advances in Space Research     Full-text available via subscription   (Followers: 458)
Aeronautical Journal, The     Hybrid Journal   (Followers: 13)
Aerospace     Open Access   (Followers: 60)
Aerospace Medicine and Human Performance     Full-text available via subscription   (Followers: 19)
Aerospace Science and Technology     Hybrid Journal   (Followers: 429)
Aerospace Scientific Journal     Open Access   (Followers: 18)
Aerospace Systems     Hybrid Journal   (Followers: 6)
Aerospace technic and technology     Open Access   (Followers: 3)
Aerotecnica Missili & Spazio : Journal of Aerospace Science, Technologies & Systems     Hybrid Journal   (Followers: 4)
AIAA Journal     Hybrid Journal   (Followers: 1195)
Air Force Magazine     Full-text available via subscription   (Followers: 10)
Air Medical Journal     Hybrid Journal   (Followers: 8)
Aircraft Engineering and Aerospace Technology     Hybrid Journal   (Followers: 262)
Annual of Navigation     Open Access   (Followers: 22)
Artificial Satellites     Open Access   (Followers: 23)
ASTRA Proceedings     Open Access   (Followers: 3)
Astrodynamics     Hybrid Journal   (Followers: 4)
Aviation     Open Access   (Followers: 17)
Aviation Advances & Maintenance     Open Access   (Followers: 5)
Aviation in Focus - Journal of Aeronautical Sciences     Open Access   (Followers: 10)
Aviation Psychology and Applied Human Factors     Hybrid Journal   (Followers: 27)
Aviation Week     Full-text available via subscription   (Followers: 438)
Canadian Aeronautics and Space Journal     Full-text available via subscription   (Followers: 34)
CEAS Aeronautical Journal     Hybrid Journal   (Followers: 30)
Chinese Journal of Aeronautics     Open Access   (Followers: 21)
Ciencia y Poder Aéreo     Open Access   (Followers: 2)
Civil Aviation High Technologies     Open Access   (Followers: 5)
Control Systems     Hybrid Journal   (Followers: 316)
Cosmic Research     Hybrid Journal   (Followers: 5)
COSPAR Colloquia Series     Full-text available via subscription   (Followers: 11)
Egyptian Journal of Remote Sensing and Space Science     Open Access   (Followers: 24)
Elsevier Astrodynamics Series     Full-text available via subscription   (Followers: 12)
Fatigue of Aircraft Structures     Open Access   (Followers: 15)
Frontiers in Astronomy and Space Sciences     Open Access   (Followers: 12)
Gravitational and Space Research     Open Access  
Gyroscopy and Navigation     Hybrid Journal   (Followers: 258)
IEEE Aerospace and Electronic Systems Magazine     Full-text available via subscription   (Followers: 278)
IEEE Journal on Miniaturization for Air and Space Systems     Hybrid Journal   (Followers: 2)
IEEE Transactions on Aerospace and Electronic Systems     Hybrid Journal   (Followers: 385)
IEEE Transactions on Circuits and Systems I: Regular Papers     Hybrid Journal   (Followers: 39)
International Journal of Aeroacoustics     Hybrid Journal   (Followers: 41)
International Journal of Aerodynamics     Hybrid Journal   (Followers: 37)
International Journal of Aeronautical and Space Sciences     Hybrid Journal   (Followers: 2)
International Journal of Aerospace Engineering     Open Access   (Followers: 82)
International Journal of Aerospace Psychology     Hybrid Journal   (Followers: 23)
International Journal of Aerospace Sciences     Open Access   (Followers: 32)
International Journal of Applied Geospatial Research     Hybrid Journal   (Followers: 7)
International Journal of Aviation Management     Hybrid Journal   (Followers: 9)
International Journal of Aviation Technology, Engineering and Management     Full-text available via subscription   (Followers: 7)
International Journal of Aviation, Aeronautics, and Aerospace     Open Access   (Followers: 5)
International Journal of Crashworthiness     Hybrid Journal   (Followers: 12)
International Journal of Micro Air Vehicles     Full-text available via subscription   (Followers: 11)
International Journal of Satellite Communications Policy and Management     Hybrid Journal   (Followers: 13)
International Journal of Space Science and Engineering     Hybrid Journal   (Followers: 11)
International Journal of Space Structures     Full-text available via subscription   (Followers: 17)
International Journal of Space Technology Management and Innovation     Full-text available via subscription   (Followers: 10)
International Journal of Sustainable Aviation     Hybrid Journal   (Followers: 5)
International Journal of Turbo and Jet-Engines     Hybrid Journal   (Followers: 6)
Investigación Pecuaria     Open Access   (Followers: 3)
Journal of Aerodynamics     Open Access   (Followers: 18)
Journal of Aeronautical Materials     Open Access   (Followers: 9)
Journal of Aeronautics & Aerospace Engineering     Open Access   (Followers: 31)
Journal of Aerospace Engineering     Full-text available via subscription   (Followers: 69)
Journal of Aerospace Engineering & Technology     Full-text available via subscription   (Followers: 18)
Journal of Aerospace Information Systems     Hybrid Journal   (Followers: 22)
Journal of Aerospace Information Systems     Hybrid Journal   (Followers: 34)
Journal of Aerospace Technology and Management     Open Access   (Followers: 7)
Journal of Aircraft     Hybrid Journal   (Followers: 335)
Journal of Aircraft and Spacecraft Technology     Open Access   (Followers: 9)
Journal of Airline and Airport Management     Open Access   (Followers: 12)
Journal of Astrobiology & Outreach     Open Access   (Followers: 3)
Journal of Aviation Technology and Engineering     Open Access   (Followers: 11)
Journal of Aviation/Aerospace Education & Research     Open Access   (Followers: 2)
Journal of Engineering and Technological Sciences     Open Access   (Followers: 1)
Journal of Guidance, Control, and Dynamics     Hybrid Journal   (Followers: 204)
Journal of KONBiN     Open Access   (Followers: 3)
Journal of Navigation     Hybrid Journal   (Followers: 280)
Journal of Propulsion and Power     Hybrid Journal   (Followers: 615)
Journal of Space Safety Engineering     Hybrid Journal   (Followers: 8)
Journal of Space Weather and Space Climate     Open Access   (Followers: 27)
Journal of Spacecraft and Rockets     Hybrid Journal   (Followers: 774)
Journal of Spatial Science     Hybrid Journal   (Followers: 3)
Journal of the American Helicopter Society     Full-text available via subscription   (Followers: 8)
Journal of the Astronautical Sciences     Hybrid Journal   (Followers: 9)
Journal of the Australasian Society of Aerospace Medicine     Open Access   (Followers: 1)
Journal of Wind Engineering and Industrial Aerodynamics     Hybrid Journal   (Followers: 17)
Life Sciences in Space Research     Hybrid Journal   (Followers: 4)
MAD - Magazine of Aviation Development     Open Access   (Followers: 2)
Mekanika : Jurnal Teknik Mesin i     Open Access   (Followers: 1)
Microgravity Science and Technology     Hybrid Journal   (Followers: 2)
New Space     Hybrid Journal   (Followers: 6)
Nonlinear Dynamics     Hybrid Journal   (Followers: 20)
npj Microgravity     Open Access   (Followers: 3)
Open Aerospace Engineering Journal     Open Access   (Followers: 1)
Perspectives of Earth and Space Scientists i     Open Access  
Population Space and Place     Hybrid Journal   (Followers: 9)
Problemy Mechatroniki. Uzbrojenie, lotnictwo, inżynieria bezpieczeństwa / Problems of Mechatronics. Armament, Aviation, Safety Engineering     Open Access   (Followers: 3)
Proceedings of the Human Factors and Ergonomics Society Annual Meeting     Hybrid Journal   (Followers: 16)
Proceedings of the Institution of Mechanical Engineers Part G: Journal of Aerospace Engineering     Hybrid Journal   (Followers: 46)
Progress in Aerospace Sciences     Full-text available via subscription   (Followers: 81)
Propulsion and Power Research     Open Access   (Followers: 68)
REACH - Reviews in Human Space Exploration     Full-text available via subscription   (Followers: 5)
Research & Reviews : Journal of Space Science & Technology     Full-text available via subscription   (Followers: 17)
RocketSTEM     Free   (Followers: 6)
Russian Aeronautics (Iz VUZ)     Hybrid Journal   (Followers: 24)
Science and Education : Scientific Publication of BMSTU     Open Access   (Followers: 1)
Space and Polity     Hybrid Journal   (Followers: 4)
Space Policy     Hybrid Journal   (Followers: 29)
Space Research Today     Full-text available via subscription   (Followers: 48)
Space Safety Magazine     Free   (Followers: 51)
Space Science International     Open Access   (Followers: 201)
Space Science Reviews     Hybrid Journal   (Followers: 97)
SpaceNews     Free   (Followers: 826)
Spatial Information Research     Hybrid Journal   (Followers: 1)
Technical Soaring     Full-text available via subscription   (Followers: 1)
Transport and Aerospace Engineering     Open Access   (Followers: 1)
Transportmetrica A : Transport Science     Hybrid Journal   (Followers: 9)
Unmanned Systems     Hybrid Journal   (Followers: 5)
Xibei Gongye Daxue Xuebao / Journal of Northwestern Polytechnical University     Open Access  
Вісник Національного Авіаційного Університету     Open Access   (Followers: 2)

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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  [2657 journals]
  • Intra-seasonal variations in urban land surface temperature in two cities
           in Sierra Leone: the challenge of using a single-date image to represent a
           whole season
    • Abstract: The use of a single date remotely sensed image to represent seasonal land surface temperature (LST) is a common practice whose reliability has not been tested, even though that might be unrepresentative of the season. Through remote sensing and geographic information system (GIS) techniques, this paper examined the effects of using a single date image to represent the whole season by quantifying the intra-seasonal (intra- and inter-month) LST variations in Freetown (coastal city) and Bo (inland city), Sierra Leone. Multi-date Landsat images within three months (two images per month) in the dry season were used to retrieve the LST using the Normalized Difference Vegetation Index (NDVI) threshold method. The results showed that the spatial structures of LST were not uniform on different dates during the same season in both cities. LST differed by as much as 2 °C for scenes within the same month and as much as 4 °C between scenes of different months. The results also showed that the highest intra- and inter-month LST variations were recorded in Freetown than in Bo. This is attributed to the combined influences of the proximity to the ocean, the mountain ranges and surface characteristics in Freetown. Thus, within a season, urban surface temperature varies not just in space based on the surface characteristics but also the variations between two urban areas could be significantly high. This renders surface temperature analysis based on a single date image unrepresentative due to the inability to incorporate such variability. The use of multi-date images could be more representative and can improve studies on urban LST.
      PubDate: 2021-05-03
       
  • Maximal covering location problem for nuclear medicine clinics allocation
           in Nigeria
    • Abstract: Several studies demonstrate the usefulness of nuclear medicine procedures for public health problems in developing countries. Little is known about the location and accessibility of nuclear medicine facilities, thus making the assessment of their location and allocation an integral part in strengthening nuclear medicine services in these countries. This paper employed the Maximal Covering Location Problem to identify the optimum numbers of University Teaching and Research Hospitals (UTRHs) that can be upgraded to provide Nuclear Medicine (NM) services to the largest number of Local Government Areas (LGAs) within a 200 km threshold drive time in Nigeria. It also identified developmental priority for the optimum UTRHs. Our analysis shows that about 26% of the LGAs are within 200 km distance from the two existing NM facilities and if NM services are restricted to only the UTRHs, 84% coverage of the LGAs can be achieved within a 200 km drive time of 11 UTRHs in Nigeria. Compared with others, Aminu Kano Teaching Hospital, Kano, Kano State should be prioritized because it consistently has between 90 and 110 LGAs within its 200 km distance. Our study identified the optimal locations for nuclear medicine facilities and offers additional theoretical insights into strengthening nuclear medicine services in developing countries.
      PubDate: 2021-05-02
       
  • Ascertaining polarity of public opinions on Bangladesh cricket using
           machine learning techniques
    • Abstract: In the present world, we are not only the consumers of information but creators as well. The virtual world of social media, which is considered a free open forum for discussion; provides its participants a chance to shape or re-shape the digital information by expressing opinions. These opinions generally contain different types of sentiments. Sentiment analysis is a tool that performs the computational study of identifying and extracting sentiment content of textual data that can be used to classify those public opinions posted on various topics in social media. In this paper, a sentiment polarity detection approach is presented, that detects the polarity of textual Facebook posts in Bangla containing people's point of views on Bangladesh Cricket using three popular supervised machine learning algorithms named Naive Bayes (NB), support vector machines (SVM), and logistic regression (LR). Comparative result analysis is also provided between classifiers, where LR performed slightly better than SVM and NB by considering n-gram as a feature with an accuracy of 83%.
      PubDate: 2021-04-18
       
  • Time-series analysis of open data for studying urban heat island
           phenomenon: a geospatial approach
    • Abstract: Urbanization is increasing with a faster pace in almost all the cities of India, which has somehow prompted the anthropogenic activities eventually influencing the environment in this climate change scenario. This has led to the more prominent urban heat island (UHI) effect in urban areas, significantly raising the surface temperature of urban built-up. To focus on this issue, a spatio-temporal analysis of UHI over the Jaipur site of Rajasthan has been performed using moderate-resolution imaging spectroradiometer (MODIS) land surface temperature (LST) and MODIS Normalized Difference Vegetation Index (NDVI) for 16 years i.e., from 2003 to 2018 wherein NDVI has been used to analyze the status of vegetation in the urban and non-urban area w.r.t. UHI phenomenon. Study of UHI phenomenon has been done by computing the difference of mean LST between urban area and urban periphery (at a buffer distance of 2 km from urban boundary) both for day and night time. The difference of LST day time observed between urban and non-urban (buffer) is 0.06 °C in May, 2003 and 0.51 °C in May, 2018 whereas, difference of LST night time between urban and area surrounding to urban is 0.58 °C in May, 2003 and 1.41 °C in May, 2018. From the quantitative analysis of land use land cover it has been observed that there is a rapid increase of urban area from 63% in 2003 to 69% in 2018 and vegetation cover decreased from 36% in 2003 to 31% in 2018. The percentage decrease of vegetation cover from 2003 to 2018 is 5% and the percentage increase in urban area is 6% which is still continuing at an even faster rate. Data preparation tasks can be greatly minimized by using analysis ready open data available in the public domain for carrying out such studies. The approach followed in the study will assist researchers to carry out a quick spatio-temporal analysis for the identification of areas susceptible to increasing variability of LST. Also, it provides a basis to understand and manage urban stress, one of the major causes of unalterable damages to the environment.
      PubDate: 2021-04-18
       
  • Investigating water quality of an urban water body using ground and space
           observations
    • Abstract: Satellite based water quality monitoring and assessment is a thrust area of research. Present study focuses on use of space observations and ground data for assessment of spatial pattern in water quality parameters of an urban water body in Gorakhpur city of Uttar Pradesh, India. Water quality parameters namely, pH, Total Dissolved Solid, Turbidity, Total Hardness, Dissolved Oxygen and Biological Oxygen Demand were measured from the spatially distributed samples collected from the lake. Multiple linear regression models were developed using Landsat-8 OLI data and water quality sampling data to estimate the spatial patterns. It was observed that all the water quality parameters are significantly correlated with the radiance values of the Landsat-8 OLI sensor. Results of the regression model indicate a good agreement between the measured and estimated value of all the water quality parameters i.e., 82%, 70%, 90%, 66%, 84% and 79% respectively. Also, water quality maps when validated with lab tested value showed 71%, 62%, 71%, 55%, 75% and 86% accuracy. This study provides an effective and quick approach for mapping and planning of surface water (Lake) in urban areas with acceptable level of accuracy.
      PubDate: 2021-04-17
       
  • Phase wise spatial and temporal variations of nitrogen dioxide during and
           pre COVID-19 lockdown period in tier-1 cities of India
    • Abstract: The novel coronavirus (COVID-19) pandemic disrupted basic lifestyle of everyone across the globe. To stop the conveyance of the coronavirus into the human body and to flatten the transmission rate curve, almost every country imposed a lockdown. In India, the emergency lockdown was imposed on the 24th of March 2020 which created an economic crisis in the country but proved a boon in disguise for the environment to improve its quality. The study analysed the statuses of air quality with respect to NO2 in pre and during the COVID-19 lockdown period in eight districts of India where tier I cities are located. Nitrous Oxide concentration was determined through Sentinel 5P satellites imagery and Central Pollution Control Board ground station data. The lockdown across the country has helped the environment to regain, and therefore, more studies are required to assess other parameters to explore the implementation of the provision of the well-planned lockdown of 1-week duration in a year for giving enough time to the environment to recuperate. These results show that the study areas (Ahmedabad, Hyderabad, Delhi, Kolkata, Mumbai, Chennai, Bengaluru, and Pune) have witnessed a significant drop in nitrogen dioxide (14–62%) as compared to the same period in 2019. This propose an idea that the devilish, COVID-19 lockdown has proved to be an unknown tool for tranquillizing air pollution (NO2) during a lockdown within the Territory of Indian.
      PubDate: 2021-04-15
       
  • Exploring the role of place on COVID-19 spatial distribution in 22
           districts of Tehran, Iran
    • Abstract: Our purpose in this paper is to emphasize the theory of "the effect of the role of place on the spatial distribution of phenomena", whether problems or opportunities. In almost a year, COVID-19 has disrupted people's lives in Iran and caused minor to large damages in various aspects of citizens' lives. The outbreak of the disease in the metropolis of Tehran, given that it is the capital of Iran, is however more worrying than other cities in Iran. Therefore, the importance of this research is that it tries to provide hypotheses that explain the reason for the increase in the incidence of the disease by emphasizing the role of place in some districts of Tehran and by statistical analysis and preparing a questionnaire and questions from the elite and Executive experts and citizens in different districts of Tehran have been trained. The results showed that there was a direct positive correlation between the role of place (economic, cultural, political and environmental) in the 22 districts of Tehran and the increased population and increased number of coronavirus-infected people. According to the evaluation of the performance (role) of each district in Tehran, districts 11, 12, 17 and 20 had the most economic places (bazaar and mall), as a result the number of coronavirus-infected people was higher in these districts. The political places are in the next place. The districts where most political places were located were 8 and 11. Areas with service and cultural places such as passenger terminals, subway stations, universities and hospitals were the last in exposing to this virus.
      PubDate: 2021-04-13
       
  • Spatio-temporal variability of monsoon precipitation and their effect on
           precipitation triggered landslides in relation to relief in Himalayas
    • Abstract: Orography of Himalaya governs the regional weather system and monsoon of Indian sub-continent. The intense persistent precipitation in the form of rainfall during monsoon season causes landslides which are the most frequent naturally occurring hazards in the Himalaya. This study attempts to investigate the spatio-temporal variability of precipitation and their effect on precipitation triggered landslides during monsoon season (June–September) in relation to relief in Himalayan region by utilizing satellite-derived precipitation products (GPM) over the span of 2000–2018 in addition to NASA Landslide Viewer, Global Landslide Catalog and Global Risk Data Platform data for landslides and ASTER DEM for elevation. The results exhibit that the Eastern Himalayas received the highest amount of precipitation of 2385 mm with intensity of 19.5 mm/day, followed by the Central Himalayas with 1860 mm and intensity of 17.5 mm/day and the least in the Western Himalayas with 1400 mm and intensity of 15 mm/day, respectively. The monsoon precipitation in the lower elevations (below 2600 m) are mostly responsible for causing a vast majority of the precipitation induced landslide events with a maximum of 68.66% in the Central Himalayas followed by the Western Himalayas at 62.23% and the least in the Eastern Himalayas at 41.16%. The overall accumulated precipitation and intensity during monsoon season and landslide distribution were strongly correlated with relief pattern. This comprehensive study signifies how relief regulated the occurrences of landslides in monsoon season and recommends vegetation cover and least interference of human-induced land use to alleviate the landslides.
      PubDate: 2021-04-05
       
  • Variation of tropospheric NO 2 over Indo-Gangetic plain during COVID-19
           outbreak in India
    • Abstract: Nitrogen dioxide (NO2) is a gaseous air pollutant which primarily gets in the air when fossil fuels such as coal, oil, gas or diesel are burned at high temperatures through industries, power plant, automobiles and locomotive. Continuous exposure to elevated concentration of NO2 may impose development of asthma and potentially increase in susceptibility to respiratory infections in humans. The present study examined impact of lockdown due to COVID-19 in terms of spatial and temporal variation of tropospheric NO2 in Indo-Gangetic plain. The results showed steep reduction in tropospheric NO2 as a result of ceased industrial and economic activities. Analysis of Sentinel-5P satellite data was carried out for specific period during 2019–2020 at a regional scale and for major industrial cities. Tremendous positive impact of lockdown in atmospheric condition is observed, wherein NO2 concentration has gone down by 20–40% in all major cities except few exceptions were noticed. The concomitant impact of Covid-19 has ensued pragmatic constructive impact on environment and climate, due to drop in NO2 emissions.
      PubDate: 2021-04-03
       
  • Mining tourists’ destinations and preferences through LSTM-based text
           classification and spatial clustering using Flickr data
    • Abstract: Recently, a large volume of data related social network service (SNS) is being produced as mobile devices are evolved and SNS is being used ubiquitously. People usually refer to social media when choosing tourist destinations and deciding on tourism activities. Flickr data has been widely utilized in the study of tourism. However, existing studies have limitations in covering the characteristics of tourism activities. In this study we initially developed a tourism category with topic modeling, classified Flickr text data with long short term memory (LSTM) according to the tourism category, and then derived region of attractions (ROA) of each tourism category by spatial clustering analysis, and finally identified attractive factors for each ROA. In this study, we derived nine tourism categories and found that the attractive factors for each ROA were different for each of tourism categories. This study is significant in that it is possible to analyze tourists' preferences in detail by combining deep learning-based text classification and spatial data analysis. In addition, framework and findings proposed in this study can be applied in other urban studies as well as tourism management.
      PubDate: 2021-04-01
       
  • Determinants of regional inequality in female work participation in Lower
           Gangetic Plain Region of India
    • Abstract: The present study is aimed at analysing the pattern of female work participation by disaggregating the information at regional level and further by inter-district variation. Moreover, this study tries to explore the factors which affect inter-regional variation in the percentage of female workers in rural areas and analyses the reasons of such. An attempt to reveal the differentiation in male and female work participation rate in different physiographic regions of West Bengal based on the secondary data collected from Census of India, 2011. Different statistical measures are employed to assess the level of inequality in work participation in different social strata of the society. Spatial pattern of work participation has been identified with the help of GIS techniques. The study reveled that the all-India pattern shows a great accentuation in regional differences in female work participation rate depending upon agro-ecological conditions prevailing within a physiographic region. The result has shown that female participation is generally lower (16.69%) compared to their male (41.63%) counterparts in 2011. The study found that socially deprived segments such as the scheduled castes and the scheduled tribe women display much higher level of participation compared to their more fortunate sisters belonging to the non-scheduled category. The study found that disparity is far less in geographically difficult areas and where agriculture is not well developed due to physiographic constraints such as in Hill and Terai region or in West Rarh Plateau Fringe.
      PubDate: 2021-04-01
      DOI: 10.1007/s41324-020-00348-4
       
  • Urban planning for physically disabled people’s needs with case
           studies
    • Abstract: The aim of this study is to provide urban planning procedures tailored to the needs of disabled people. For this, it analyzes the problems of disabled people, especially physically disabled people, for living in Iran’s cities. It also analyses various planning and design characteristics of buildings in Iranian cities. Research methods of this paper are problem-oriented theoretical studies, case studies, a weighted sum method, and a Benchmarking technique. The methods assist to provide relevant standard indicators and a theoretical framework for the comparison of the cities to an optimal alternative. A case study strategy to gather data for certain comparisons and present a disabled-oriented model of urban planning has been performed. The weighted sum method dedicates quantitative scores and performs the comparison and judgment. Finally, this paper concludes that the cities in Iran are not appropriate to the physical and administrative needs of the disabled. This study finds that buildings in Iranian cities often lack the necessary standards for the needs of the disabled. The outcomes of this research concerning urban planning for disabled people will assist better disabled-oriented urban planning, design, and development everywhere in the world.
      PubDate: 2021-04-01
      DOI: 10.1007/s41324-020-00343-9
       
  • Exploring spatial and temporal trends of diurnal temperature range in the
           region of the Subarnarekha river basin India
    • Abstract: This study analyzed the spatial and temporal trends of diurnal temperature range (DTR) for 35-years (1983–2017) in the region of the Subarnarekha river basin of Jharkhand, India. The daily data of maximum temperature (Tmax) and minimum temperature (Tmin) were habituated to compute the DTR, whereas rainfall data is used to measure its relationship with DTR, on a monthly annual and seasonal basis. Mann–Kendall test and Sen’s slope method has been used to detect the increasing or decreasing trends in climatic data with their statistical significance. The annual mean DTR of the basin is 11.97 °C With a maximum in pre-monsoon (16.36 °C) and minimum in monsoon (6.94 °C). A significant negative trend (− 0.31 °C/decade) was observed in annual DTR over the basin. On a seasonal basis, all four seasons show a negative trend in DTR with the largest significant decreasing trend in the pre-monsoon season (− 0.49 °C/decade). On an annual and seasonal basis, a significant negative correlation between DTR and rainfall is found, indicating that rainfall has a significant impact on the variation of DTR in this basin. A concomitant increase in rainfall might be one of the possible causes of the decreases in DTR in the basin.
      PubDate: 2021-04-01
      DOI: 10.1007/s41324-020-00341-x
       
  • Crop yield prediction in cotton for regional level using random forest
           approach
    • Abstract: Early and precise estimation of crop yield plays a crucial role in quantitative and financial assessment at field level, to lay down strategic plans for import–export policies for agricultural commodities and to doubling the income of farmers. In this study, a machine learning based random forest (RF) algorithm was used to predicate cotton yield at three distinct times before the actual harvest in the state of Maharashtra in India using R package. Long-term agromet-spectral variables derived from multi-sensor satellites with actual crop yield from 2001 to 2017, were used to generate co-linearity of predictor variables and further, calibrate and validate the RF model. The performance of the RF model was found reliable and faster in predicting the crop yield with the most influencing variables with 69%, 60% and 39% of coefficient of determination (R2) in the final yield for September, December and February months, respectively using CART decision tree and recursive feature elimination method in R programming. Results showed as RF algorithm has the capability to integrate and process a large number of inputs as derived from different satellite modalities, unscaled and non-uniform ground based information, expert knowledge, etc. With high precision and avoid over fitting of the model.
      PubDate: 2021-04-01
      DOI: 10.1007/s41324-020-00346-6
       
  • A review on current status of COVID19 cases in Maharashtra state of India
           using GIS: a case study
    • Abstract: The coronavirus is showing its strength and spreading exponentially in all the corners of India. Due to this, India is moving under a pandemic situation and most of the states are badly suffering from it. The Maharashtra state in India is a highly infected state and has maximum number of COVID19 (Corona Virus Disease 2019) cases. Therefore, this paper aims to study the current scenario of COVID19 cases in Maharashtra state using the geo-visualization techniques. The paper deals with the district wise current situations showing through compiled maps of COVID19 cases and also presents the detailed ward wise map of COVID19 cases of Mumbai city which has the highest number of cases in Maharashtra state. This review briefly covers the introduction, current cases, recovered cases, deceased cases, predictions, supports and preventive measures taken by authorities, and some basic advices and suggestions; however these are subjected to change in due course of time as is the number of cases and mortality.
      PubDate: 2021-04-01
      DOI: 10.1007/s41324-020-00349-3
       
  • Using circuity as a network efficiency measure: the example of Paris
    • Abstract: Circuity, also called as the detour index or the route factor, is the ratio of the network distance between two points to the Euclidean or ‘as-the-crow-flies’ distance. This study aims to present a simple yet effective procedure to assess the transport network efficiency in and between different parts of an urban area using circuity and concentering partitioning. As an example, the road network of the city of Paris and its vicinity is examined using planar network data from OpenStreetMap. The variation in circuity levels is analyzed by quantifying the physical structure of the street network through the use of graph theory-based topological indices. The findings reveal that the beta index, or the average number of edges per node, and the order of a node, or the number of edges connecting to a node, plan a more important role in having more direct routes with less circuity in a road network. It is concluded that that the priorities in city planning affect the efficiency of transportation and the efficiency of the network can be assessed by a simple yet effective procedure based on circuity to guide policymaking.
      PubDate: 2021-04-01
      DOI: 10.1007/s41324-020-00342-w
       
  • Impact of soil chemical properties on marigold production in Ranaghat-II,
           Nadia, India
    • Abstract: Soil chemical properties are globally affecting marigold production. Marigold production triggers the farmers’ economy and food security. Nonetheless, the direct link between soil chemical properties and marigold production at the village level spatial distribution is poorly understood in Ranaghat-II of Nadia in India. Here we stimulated the impact of soil chemical properties on marigold production using 105 soil samples measuring the amount of soil pH, electrical conductivity (EC), organic carbon (OC), nitrogen (N), phosphorus (P) and potassium (K); and the questionnaire survey from 420 florist farmers for flower production are collecting from every village during 2018. Our results of multiple linear regression exhibit that N and OC have a paramount effect on flower production and a comfortable range of pH and EC also helpful to the performance of marigold. However, increasing P and K decrease yield at some point. Although the nutrients are auto-correlated, the Residual statistics prove overall soil chemical properties have a strong linear positive correlation to marigold production. Interpolation method shows the high and low marigold producing villages place south and north sides of Ranaghat-II. To preserve sustainable soil-marigold production and society, and the relevant policies and future research topics are suggested.
      PubDate: 2021-04-01
      DOI: 10.1007/s41324-020-00347-5
       
  • Improved email classification through enhanced data preprocessing approach
    • Abstract: Email has become one of the most widely used forms of communication, resulting in an exponential increase in emails received and creating an immense burden on existing approaches to email classification. Applying the classification method on the raw data may worsen the performance of classifier algorithms. Hence, the data have to be prepared for better performance of the machine learning classifiers. This paper proposes an enhanced data preprocessing approach for multi-category email classification. The proposed model removes the signature of the email. Further, special characters and unwanted words are removed using various preprocessing methods such as stop-word removal, enhanced stop-word removal, and stemming. The proposed model is evaluated using various classifiers such as Multi-Nominal Naïve Bayes, Linear Support Vector Classifier, Logistic Regression, and Random Forest. The results showed that the proposed data preprocessing to email classification is superior to the existing approach.
      PubDate: 2021-04-01
      DOI: 10.1007/s41324-020-00378-y
       
  • Decadal variations of sea surface temperature in the eastern Arabian Sea
           and its impacts on the net primary productivity
    • Abstract: Ten-year satellite derived data (January 2007 to December 2016) were used to investigate the variability of Chlorophyll-a (Chl-a), sea surface temperature (SST), net primary production (NPP) in the eastern Arabian Sea (AS). This study is aimed to show the coupling of physical and biological processes to understand how temporal, annual and inter-annual variations occur and the forcing mechanisms behind these variations in the ocean environments. This work is linked to Indian Ocean Dipole and the El Niño/Southern Oscillation, which frequently co-occur and drives inter-annual changes within the AS. Vertically Generalized Production Model was used to estimate NPP using chl-a, Photosynthetically Available Radiation, euphotic depth, and maximum photosynthetic rate from SST. The relationship between NPP and SST showed change in the pattern over the study period. The NPP in the AS is characterized by an unusual decline during El Niño events. AS is more productive during summer monsoon (June–September) due to coastal upwelling, wind driven mixing and lateral advection processes. There was decline in NPP after 2014 and this trend continued in the following years. The present investigation revealed that the strong El Niño condition was observed in 2015 and productivity of AS declined by ~ 19%, while SST increased by ~ 2% from an overall average of 2007–2016. Increased SST and low productivity could result in low fish catch in AS. Increasing trend in SST could be attributed to the extreme events like cyclones occurring along the west coast of India.
      PubDate: 2021-04-01
      DOI: 10.1007/s41324-020-00340-y
       
  • Fluvial knickpoint identification and their characterizations in the
           drainage basins of Western Ghats, India
    • Abstract: The fluvial knickzones, a geomorphic marker of erosion, climate, and tectonics has received much interest in the topographic developmental studies in the recent past. Nevertheless, examining their spatial distribution in passive margins has not been well documented especially for the drainage basins in the humid tropical climatic systems. Here in this study, we presented the spatial distribution of knickzones in the three river basins of Western Ghats, India, namely Chaliyar, Pambar and Muthirapuzha basins. Because the conventional method of knickzone identification using topographic maps or field readings is laborious, we employed a 30 m digital elevation model and TopoToolBox, a Matlab© based tool to extract the knickpoints in the study area. A total of 356 knickpoints were identified by analyzing ~ 2670 km of river network, and the knickzone frequency is estimated as 0.13 km−1. The average height of the knickzones is found to be 83 m, and majority of the knickpoints are located closest to the headwaters. Although we noticed that the streams underlying metamorphic lithology tends to have the highest knickzone frequency, but it can be also attributed to the fact that metamorphic rocks are the most dominant rock type in the study area. The high amount of knickzone frequency in the study area thus may be the result of coupled climatic control caused by heavy summer rainfall, bed rock erosion triggered by high grade metamorphism, and also the local base level changes as indicated by the clustered knickpoints in the stream heads.
      PubDate: 2021-04-01
      DOI: 10.1007/s41324-020-00345-7
       
 
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