Subjects -> HISTORY (Total: 1540 journals)
    - HISTORY (859 journals)
    - History (General) (45 journals)
    - HISTORY OF AFRICA (72 journals)
    - HISTORY OF ASIA (67 journals)
    - HISTORY OF AUSTRALASIA AREAS (10 journals)
    - HISTORY OF EUROPE (256 journals)
    - HISTORY OF THE AMERICAS (183 journals)
    - HISTORY OF THE NEAR EAST (48 journals)

HISTORY (859 journals)            First | 1 2 3 4 5     

Showing 401 - 452 of 452 Journals sorted alphabetically
International Journal of Middle East Studies     Hybrid Journal   (Followers: 63)
International Journal of Military History and Historiography     Hybrid Journal  
International Journal of Regional and Local History     Hybrid Journal   (Followers: 8)
International Journal of Society Systems Science     Hybrid Journal   (Followers: 2)
International Journal of Sustainable Society     Hybrid Journal   (Followers: 2)
International Politics     Hybrid Journal   (Followers: 32)
International Review of Social History     Full-text available via subscription   (Followers: 32)
Interventions : International Journal of Postcolonial Studies     Hybrid Journal   (Followers: 16)
Intus-Legere Historia     Open Access  
Iran and the Caucasus     Hybrid Journal   (Followers: 9)
Irish Studies Review     Hybrid Journal   (Followers: 15)
Isis     Full-text available via subscription   (Followers: 38)
Italian Review of Legal History     Open Access   (Followers: 3)
Itinerari di ricerca storica     Open Access  
Izvestia. Ural Federal University Journal. Series 2: Humanities and Arts     Open Access   (Followers: 1)
Japanese Studies     Hybrid Journal   (Followers: 9)
Jernbanehistorie     Full-text available via subscription  
Jewish Culture and History     Hybrid Journal   (Followers: 19)
Journal Asiatique     Full-text available via subscription   (Followers: 7)
Journal for Early Modern Cultural Studies     Full-text available via subscription   (Followers: 28)
Journal for Maritime Research     Hybrid Journal   (Followers: 9)
Journal for the Study of Judaism     Hybrid Journal   (Followers: 11)
Journal for the Study of Radicalism     Full-text available via subscription   (Followers: 9)
Journal of Aging, Humanities, and the Arts: Official Journal of the Gerontological Society of America     Hybrid Journal   (Followers: 8)
Journal of American History     Hybrid Journal   (Followers: 56)
Journal of American Studies     Hybrid Journal   (Followers: 20)
Journal of American-East Asian Relations     Hybrid Journal   (Followers: 1)
Journal of Ancient History and Archaeology     Open Access   (Followers: 24)
Journal of Applied History     Hybrid Journal   (Followers: 1)
Journal of Arts and Social Sciences     Open Access  
Journal of Arts Management, Law, and Society     Full-text available via subscription   (Followers: 6)
Journal of Australian Colonial History     Full-text available via subscription   (Followers: 7)
Journal of Baltic Studies     Hybrid Journal   (Followers: 5)
Journal of Big History     Open Access   (Followers: 3)
Journal of British Studies     Full-text available via subscription   (Followers: 36)
Journal of Canadian Studies/Revue d'études canadiennes     Full-text available via subscription   (Followers: 4)
Journal of Cognitive Historiography     Full-text available via subscription   (Followers: 5)
Journal of Colonialism and Colonial History     Full-text available via subscription   (Followers: 27)
Journal of Conflict Studies     Open Access   (Followers: 22)
Journal of Contemporary Asia     Hybrid Journal   (Followers: 13)
Journal of Contemporary China     Hybrid Journal   (Followers: 17)
Journal of Contemporary History     Hybrid Journal   (Followers: 39)
Journal of Coptic Studies     Full-text available via subscription   (Followers: 7)
Journal of Early Christian History     Full-text available via subscription   (Followers: 7)
Journal of Early Modern History     Hybrid Journal   (Followers: 43)
Journal of East Asian Linguistics     Hybrid Journal   (Followers: 6)
Journal of Ecclesiastical History     Hybrid Journal   (Followers: 23)
Journal of English and Germanic Philology (JEGP)     Full-text available via subscription   (Followers: 11)
Journal of European Studies     Hybrid Journal   (Followers: 22)
Journal of Family History     Hybrid Journal   (Followers: 18)
Journal of Global History     Full-text available via subscription   (Followers: 35)
Journal of Historical Geography     Hybrid Journal   (Followers: 18)
Journal of Historical Linguistics     Hybrid Journal   (Followers: 8)
Journal of Historical Pragmatics     Hybrid Journal   (Followers: 3)
Journal of Historical Research in Marketing     Hybrid Journal   (Followers: 4)
Journal of Historical Research in Music Education     Hybrid Journal   (Followers: 4)
Journal of Historical Syntax     Open Access  
Journal of History and Future     Open Access   (Followers: 1)
Journal of Holocaust Research     Hybrid Journal   (Followers: 9)
Journal of Iberian and Latin American Studies     Hybrid Journal   (Followers: 15)
Journal of Imperial and Commonwealth History     Hybrid Journal   (Followers: 28)
Journal of Indian Society of Pedodontics and Preventive Dentistry     Open Access  
Journal of Intelligence History     Hybrid Journal   (Followers: 6)
Journal of Interdisciplinary Conflict Science     Open Access   (Followers: 1)
Journal of Interdisciplinary History of Ideas     Open Access   (Followers: 7)
Journal of Israeli History: Politics, Society, Culture     Hybrid Journal   (Followers: 7)
Journal of Jewish Identities     Full-text available via subscription   (Followers: 11)
Journal of Latin American Cultural Studies: Travesia     Hybrid Journal   (Followers: 15)
Journal of Latin American Studies     Hybrid Journal   (Followers: 36)
Journal of Legal History     Hybrid Journal   (Followers: 22)
Journal of Medieval History     Hybrid Journal   (Followers: 51)
Journal of Medieval Iberian Studies     Hybrid Journal   (Followers: 8)
Journal of Medieval Religious Cultures     Full-text available via subscription   (Followers: 16)
Journal of Military History     Full-text available via subscription   (Followers: 31)
Journal of Modern Chinese History     Hybrid Journal   (Followers: 5)
Journal of Modern Greek Studies     Full-text available via subscription   (Followers: 4)
Journal of Modern History, The     Full-text available via subscription   (Followers: 69)
Journal of Modern Italian Studies     Hybrid Journal   (Followers: 11)
Journal of Modern Russian History and Historiography     Hybrid Journal   (Followers: 12)
Journal of Moravian History     Full-text available via subscription   (Followers: 5)
Journal of Natural History     Hybrid Journal   (Followers: 8)
Journal of New Zealand Studies     Full-text available via subscription   (Followers: 3)
Journal of North African Studies     Hybrid Journal   (Followers: 9)
Journal of Pacific History     Hybrid Journal   (Followers: 20)
Journal of Persianate Studies     Hybrid Journal   (Followers: 1)
Journal of Policy History     Full-text available via subscription   (Followers: 15)
Journal of Religion in Africa     Hybrid Journal   (Followers: 5)
Journal of Religion in Europe     Hybrid Journal   (Followers: 11)
Journal of Russian American Studies (JRAS)     Open Access  
Journal of Scottish Historical Studies     Hybrid Journal   (Followers: 7)
Journal of Semitic Studies     Hybrid Journal   (Followers: 15)
Journal of Slavic Military Studies     Hybrid Journal   (Followers: 17)
Journal of Social History     Hybrid Journal   (Followers: 54)
Journal of Song-Yuan Studies     Full-text available via subscription   (Followers: 9)
Journal of South American Earth Sciences     Hybrid Journal   (Followers: 4)
Journal of Southeast Asian Studies     Full-text available via subscription   (Followers: 11)
Journal of Sport History     Full-text available via subscription   (Followers: 12)
Journal of the Australian Early Medieval Association     Full-text available via subscription   (Followers: 4)
Journal of the Canadian Historical Association / Revue de la Société historique du Canada     Full-text available via subscription   (Followers: 2)
Journal of the Early Republic     Full-text available via subscription   (Followers: 13)
Journal of the Economic and Social History of the Orient     Hybrid Journal   (Followers: 21)
Journal of the Geological Society of India     Hybrid Journal   (Followers: 11)
Journal of the History of Ideas     Full-text available via subscription   (Followers: 126)
Journal of the History of Medicine and Allied Sciences     Hybrid Journal   (Followers: 18)
Journal of the History of Philosophy     Full-text available via subscription   (Followers: 46)
Journal of the History of Sexuality     Full-text available via subscription   (Followers: 27)
Journal of the History of the Behavioral Sciences     Hybrid Journal   (Followers: 3)
Journal of the Indian Society of Remote Sensing     Hybrid Journal   (Followers: 61)
Journal of the Malaysian Branch of the Royal Asiatic Society     Full-text available via subscription   (Followers: 3)
Journal of the Philosophy of History     Hybrid Journal   (Followers: 15)
Journal of the Polynesian Society     Full-text available via subscription   (Followers: 4)
Journal of the Royal Asiatic Society     Hybrid Journal   (Followers: 13)
Journal of the Warburg and Courtauld Institutes     Full-text available via subscription   (Followers: 6)
Journal of Tourism History     Hybrid Journal  
Journal of Transatlantic Studies     Hybrid Journal   (Followers: 5)
Journal of Transport History     Hybrid Journal   (Followers: 12)
Journal of Urban History     Hybrid Journal   (Followers: 33)
Journal of Victorian Culture     Hybrid Journal   (Followers: 33)
Journal of War & Culture Studies     Hybrid Journal   (Followers: 14)
Journal of Western Archives     Open Access   (Followers: 3)
Journal of Women's History     Full-text available via subscription   (Followers: 22)
Journal of World History     Full-text available via subscription   (Followers: 32)
Jurnal Candrasangkala Pendidikan Sejarah     Open Access  
Kadim     Open Access  
Kasvatus & Aika     Open Access   (Followers: 1)
Kirchliche Zeitgeschichte     Hybrid Journal   (Followers: 1)
Konsthistorisk Tidskrift/Journal of Art History     Hybrid Journal   (Followers: 10)
Korean Journal of Medical History     Open Access  
Kritika: Explorations in Russian and Eurasian History     Full-text available via subscription   (Followers: 17)
Kulturstudier     Open Access  
Kunst og Kultur     Open Access  
L'Atelier du CRH     Open Access   (Followers: 2)
L'Idomeneo     Open Access  
La corónica : A Journal of Medieval Hispanic Languages, Literatures, and Cultures     Full-text available via subscription   (Followers: 4)
La Révolution française     Open Access   (Followers: 3)
LaborHistórico     Open Access  
Labour: Journal of Canadian Labour Studies / Le Travail : revue d'Études Ouvrières Canadiennes     Full-text available via subscription   (Followers: 8)
Labyrinthe     Open Access  
Lähde     Open Access  
Landbohistorisk Tidsskrift     Open Access  
Language & History     Hybrid Journal   (Followers: 4)
Language in Society     Hybrid Journal   (Followers: 26)
Le Journal de la Renaissance     Full-text available via subscription   (Followers: 5)
Le mouvement social     Full-text available via subscription   (Followers: 1)
Le Muséon : Revue d'Études Orientales     Full-text available via subscription   (Followers: 2)
Leo Baeck Institute Yearbook     Hybrid Journal   (Followers: 3)
Ler História     Open Access  
Les Cahiers de Framespa     Open Access  
Les Cahiers des dix     Full-text available via subscription   (Followers: 1)
Les Livres d'e-Spania     Open Access  
Levant     Hybrid Journal   (Followers: 6)
Library & Information History     Hybrid Journal   (Followers: 133)
Librosdelacorte.es     Open Access  
Lien social et Politiques     Open Access   (Followers: 2)
Lietuvos istorijos studijos     Open Access  
Literature & History     Full-text available via subscription   (Followers: 23)
Livraisons d’Histoire de l’Architecture     Open Access   (Followers: 3)
Local Population Studies     Full-text available via subscription   (Followers: 1)
Locus Amoenus     Open Access   (Followers: 1)
London Journal     Hybrid Journal   (Followers: 7)
Los Trabajos y los Días     Open Access  
Lucentum : Anales de la Universidad de Alicante. Prehistoria, Arqueología e Historia Antigua     Open Access  
Luso-Brazilian Review     Full-text available via subscription   (Followers: 6)
Madison Historical Review     Open Access  
Management & Organizational History     Hybrid Journal   (Followers: 2)
Manuscrits. Revista d'història moderna     Open Access  
Matatu - Journal for African Culture and Society     Hybrid Journal   (Followers: 1)
Material Culture Review / Revue de la culture matérielle     Full-text available via subscription   (Followers: 1)
Materiales para la historia del deporte     Open Access  
Media History     Hybrid Journal   (Followers: 7)
Mediaevalia     Full-text available via subscription   (Followers: 3)
Medicina Historica     Open Access  
Medieval Archaeology     Hybrid Journal   (Followers: 39)
Medieval Feminist Forum : Journal of the Society for Medieval Feminist Scholarship     Partially Free   (Followers: 7)
Medieval History Journal     Hybrid Journal   (Followers: 35)
Médiévales     Open Access   (Followers: 7)
Mediterranean Historical Review     Hybrid Journal   (Followers: 7)
Memoria y Civilización     Open Access  
Memoria y Narración : Revista de estudios sobre el pasado conflictivo de sociedades y culturas contemporáneas     Open Access   (Followers: 1)
Memory Studies     Hybrid Journal   (Followers: 35)
Middle Eastern Studies     Hybrid Journal   (Followers: 19)
Middle European Scientific Bulletin     Open Access  
Midland History     Hybrid Journal   (Followers: 3)
Mind & Society     Hybrid Journal   (Followers: 4)
Ming Studies     Hybrid Journal   (Followers: 8)
Mobility in History     Full-text available via subscription   (Followers: 7)
Modern & Contemporary France     Hybrid Journal   (Followers: 3)
Modern China     Hybrid Journal   (Followers: 15)
Modern Italy     Hybrid Journal   (Followers: 8)
Mondo contemporaneo     Full-text available via subscription  
Monthly, The     Full-text available via subscription   (Followers: 1)
Mouseion: Journal of the Classical Association of Canada     Full-text available via subscription   (Followers: 15)
Mozaik Humaniora     Open Access  
Museum History Journal     Hybrid Journal   (Followers: 19)
Mythos     Open Access   (Followers: 1)
Nations and Religions of Eurasia     Open Access   (Followers: 1)
Navigator     Open Access   (Followers: 3)
Nepalese Culture     Open Access  
Netherlands Yearbook for History of Art / Nederlands Kunsthistorisch Jaarboek Online     Hybrid Journal   (Followers: 4)
New England Quarterly     Hybrid Journal   (Followers: 15)

  First | 1 2 3 4 5     

Similar Journals
Journal Cover
Journal of the Indian Society of Remote Sensing
Journal Prestige (SJR): 0.337
Citation Impact (citeScore): 1
Number of Followers: 61  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0974-3006 - ISSN (Online) 0255-660X
Published by Springer-Verlag Homepage  [2469 journals]
  • A Study of Air Quality in the Coalfields of NSW, Australia and Telangana,
           India

    • Free pre-print version: Loading...

      Abstract: Abstract The upper Hunter region in New South Wales (NSW), Australia, has 25 operating coal mines supplying coal to two thermal power plants (TPPs) in the area, besides the export market. Ambient air particulate matter (PM) concentrations and meteorological parameters are recorded by a network of 14 government-owned continuous monitoring stations in the upper Hunter region. The Ramagundam region in the state of Telangana, India, has similar pollution source characteristics (coal mines and TPPs), but no continuous monitoring stations are installed. Coal and overburden excavation from opencast coal mines supplemented by stack emissions from TPPs lead to local PM pollution. We describe a model to estimate ambient air PM2.5 concentrations in the upper Hunter region, while an existing PM2.5 database is used in the Ramagundam region. Using these spatial PM2.5 datasets, we compare the air quality in these two coal mining regions. The PM2.5 levels in the Ramagundam region are also influenced by the local meteorological parameters unlike the upper Hunter region where aerosol optical depth (AOD) is the prime predictor. Results show that the PM2.5 concentrations in the upper Hunter region are below the Australian standard (25 µg/m3), while they exceed Indian standard (40 µg/m3) in the Ramagundam region.
      PubDate: 2022-05-12
       
  • Exploring the Offshore Wind Resource Potential of India Based on Remotely
           Sensed Wind Field Data

    • Free pre-print version: Loading...

      Abstract: Abstract Offshore wind energy is one of the fastest growing renewable energy technologies. India is still foraying into offshore wind energy sector. This paper examines the offshore wind resource potential for India based on ASCAT wind speed observations for the most recent period from 2007 to 2020. The 13 year wind speed observations are used to assess the spatio-temporal variations of wind speeds and wind power densities. Two specific high wind potential zones are identified along the Indian coast: (1) off Gulf of Khambhat (Site 1) and (2) south of Tamil Nadu (Site 2). The results show that at 10 m height, the long-term average wind speed is above 6 m/s at both the potential sites, which is above the cut-in wind speed of most wind turbines. Consistent with the seasonal cycle, the wind speed is highest in the summer and lowest during spring. Annual average values of wind power density at Site 1 and Site 2 are 203 W/m2 and 265 W/m2 indicating that these sites stand in power class 4 and 5, respectively. It is also observed that year-round, the dominant wind direction is easterly and north-easterly at Site 1 and Site 2, respectively. Analysis indicated that at least 175 and 260 days in a year the wind speeds exceed 6 m/s at Site 1 and Site 2, respectively. While both the sites performed reasonably good in the wind resource characteristics, Site 2 with high and sustained winds has the best wind resource than elsewhere along the Indian coastal region.
      PubDate: 2022-05-11
       
  • Coastal Multi-Hazard Vulnerability Mapping: A Case Study Along the Coast
           of South 24 Parganas District, East Coast of India

    • Free pre-print version: Loading...

      Abstract: Abstract The present study on coastal zone of South 24 Parganas district of West Bengal is experiencing threat from several disasters like cyclones, storms, tsunami, flood and erosion. This area was greatly affected during 2004 Indian Ocean tsunami and during 2019 Fani cyclone. This study is focused on generating Multi-hazard vulnerability map, which is a blended, and combined overlay of multiple hazards those directly or indirectly affecting the coastal zone. Block-wise vulnerability level was estimated using the parameters historical storm surge height, future sea level rise, shoreline change rate and high-resolution coastal topography with the aid of Remote sensing and GIS tools. The assessment result revealed that 67% of the total district is experiencing the severe erosion. An area of totalling 2090 sq. km is found to fall under multi-hazard zone and threatening the coastal population due to several hazards. Multi-hazard vulnerability maps were further intervened at block level, and study found that Patharpratima block is coming under highly vulnerable zone (63% of total area), whereas Diamond Harbour-I block is least vulnerable (6% of total area). These hazard maps can aid as critical area-specific information during the disaster for quick evacuation and to prepare management strategy and also be used to evolve a new facility and for insurance purposes.
      PubDate: 2022-05-11
       
  • TRI-SU-L ADWT-FCM: TRI-SU-L-Based Change Detection in SAR Images with ADWT
           and Fuzzy C-Means Clustering

    • Free pre-print version: Loading...

      Abstract: Abstract The Detection of Changes in Synthetic Aperture Radar (SAR) images is indispensable in the field of remote sensing. This paper presents an eccentric method to improve the overall performance of change detection in SAR images by increasing the smoothness and to achieve symmetry between changed pixels and unchanged pixels of the difference image in terms of accuracy. In this regard, three data sets were captured by SAR sensor using RADAASAT-1, RADAASAT-2 and ERS-2 satellites where each data set consisting two multitemporal SAR images, Median-subtraction operator is proposing along with the existing Log-Ratio and Mean-Ratio operators. Meanwhile, the proposing method is named as the Tri Subtraction Level (TRI-SU-L). Difference images from two ratio operators and median subtraction image are merged based on a novel image fusion technique (DWT with optimized filter coefficients), which is named as Adaptive Discrete Wavelet Transform (ADWT). A novel optimization technique which is named as Transformed Dragonfly Algorithm algorithm has been implemented to choose Optimized filter coefficients along with existing optimization techniques. FCM-Clustering has been employed to segment changed area as foreground and unchanged area as background. The segmented image is compared with the ground truth image and performance is computed in terms of accuracy. To crosscheck the validity of the proposed method, optimized filter coefficients have been chosen through genetic algorithm , particle swarm optimization algorithm and conventional dragonfly algorithm. Finally, the proposed method improved the accuracy over existing methods of (0.84%, 0.81%, 1.17%, 1.13%, 1.17%), (6.26%, 3.37%, 11.31%, 9.67%, 5.34%), ( 2.45%, 2.86%, 2.32%, 1.56%, 1.88%) for first data set, second data set and third data set, respectively.
      PubDate: 2022-05-11
       
  • An Image Compensation Method for the Camera Onboard SDLT-1 Satellite of
           China

    • Free pre-print version: Loading...

      Abstract: Abstract For geostationary satellite, small motion of the satellite platform will tremendously deviate the line of sight (LOS) of the imager and an image compensation method (ICM) is needed to ensure the accuracy of the image navigation and registration (INR) of such satellite. Some geostationary satellites share the same characteristic that the detectors are all small (FY-4 has 16 pixels in line), which make it possible to represent the LOS vector of each pixel by the LOS vector of the center pixel. In such a situation, it is a feasible way to apply the compensation factors to the control loops of the SRM to achieve an accurate image compensation result. The image detector onboard the satellite is a 10,240 by 10,240 pixels array which makes the traditional image compensation method used for small size detectors infeasible. In such a situation, an image compensation method (ICM) is proposed for the geostationary space debris locating and tracking (SDLT-1) satellite of China. To testify the feasibility of the proposed method, an experiment based on three-axis air-bearing physical simulator equipment is designed and the results show that the fluctuation of both the EW deformation and NS deformation is tremendously restrained below 18urad from 175urad which is applicable for on-orbit mission.
      PubDate: 2022-05-10
       
  • Changing Pattern of Land Use Land Cover Due to Sonepur–Bazari Open Cast
           Coal Mine and Its Impact on Surrounding Area, West Bengal, India

    • Free pre-print version: Loading...

      Abstract: Abstract Mining is the most important economic activity in Raniganj coalfield area of West Bengal, India. At the same time, it has an immense number of negative impacts upon natural and social environment. Sonepur–Bazari mine is one of the biggest open cast coal mines of Eastern Coalfield Limited, which has started its journey from 1995. The present study focuses on the land use land cover change (2008–2018) in and around the Sonepur–Bazari and its surrounding area with the help of satellite imagery. Landsat images of 2008, 2014 and 2018 have been used to find out the changes. Different land use classes have been identified by applying visual interpretation method. The study also employed analytical hierarchy process (AHP) coupled with GIS to understand the intensity of risk of the surrounding villages. By the use of participatory rural appraisal approach (PRA), social impact of mining activities has been analysed. The study reveals that the expansion of the mine causes several changes in the surrounding area. Crop land has been affected the most by decreasing the area of 7.73 km2 from 2008 to 2018. The loss of traditional economic activities has been increased due to reduction in the crop land area. Hence, in post-displacement period agriculture shifted in fifth position from first, out of seven major economic activities in the study area. The analysis of AHP highlights that 51.70% of the total area is under the high risk zone.
      PubDate: 2022-05-10
       
  • Assessment of Salinization Through ANN Learned with Remote Sensing and DEM
           Data in Soils of the Lower Cheliff Plain (Algeria)

    • Free pre-print version: Loading...

      Abstract: Abstract One of the constraints for the assessment of salinization is the scarcity of reliable methodologies for accurately quantifying and mapping soil salinity expressed in values of electrical conductivity (EC). In this work, we have estimated soil salinity and assessed the role of topography by applying artificial neural networks (ANN). For that, remote sensing data (Landsat-8 OLI), topography data (ASTER GDEM) and soil salinity values (n = 796) were utilized to perform some ANN capable of quantifying soil salinity whose 80% of these data were intended for ANN learning and 20% for results’ validation. Soil salinity was estimated through an ANN based on remote sensing data of three bands (B3, B4, B5) with a high reliability (R = 0.89). The established soil salinity map basing those results showed 23.8% of soil was affected by salinization in the last decade, and confirmed the advanced state of land degradation. The application of an ANN allowed to estimate the correlation between soil salinity values and elevation and slope data (R = 0.74). This correlation improved with the addition of bands data in another ANN with R = 0.77.
      PubDate: 2022-05-05
       
  • Ship Detection Algorithm for SAR Images Based on Lightweight Convolutional
           Network

    • Free pre-print version: Loading...

      Abstract: Abstract Although ship detectors in synthetic aperture radar (SAR) images have continuously advanced the state-of-the-art performance in recent years. It is still difficult to balance the accuracy and efficiency. In this paper, we propose a ship detection algorithm for SAR images based on lightweight convolutional network. First, the Top-hat layer is designed by introducing the Top-hat operator, and Region Proposal Network (RPN) is constructed based on the layer to conduct rapid screening of SAR ship candidate regions. Second, the Facebook Berkeley Nets (FBNet) is introduced to accurately locate the SAR ship target in the candidate region and the Differential Neural Architecture Search technology is used to optimize the parameters of the network structure. Finally, the proposed ship detection framework is validated on the SAR ship datasets with other methods.
      PubDate: 2022-05-01
       
  • The Study of Land Use and Land Cover (LULC) Dynamics and the Perception of
           Local People in Aykoleba, Northern Ethiopia

    • Free pre-print version: Loading...

      Abstract: Abstract It is believed that since the advent of agriculture, changes in LULC have happened. However, rates, extents, and intensities of LULC changes have become more aggravated at all levels. The current study aims to examine the dynamics and perceptions of LULC change in the last 4 decades (1973–2013) in Aykoleba, Ethiopia using a combination of remote sensing data and the ground truth data. Focus Group Discussions were employed to obtain data on the status of land degradation. Remote sensing data were obtained using Landsat imageries of MSS (1973), Landsat TM, 1986 and 2000, and Landsat ETM + (2013) with 30 m spatial resolution. ArcGIS10.2 and ERDAS Imagine13.1 were used to generate LULC classes. Accordingly, four LULC classes were identified, of which forest and bare LULC have been augmented by 8.8% and 54.9%, respectively. The escalation in forest cover is associated with the plantation of eucalyptus near the home gardens, farmlands, and degraded areas. Nevertheless, open bush and grassland, and cultivated and settlement land cover classes were lessened by 27.4% and 37.8%, respectively, although the increase in bare land is related to the abandonment of the cultivated land in hilly and sloppy areas, and overgrazing, among other factors. The local community perceived that population pressure is a top driver of LULC change in the study area. Overgrazing and lack of appropriate land use policy are also significant causes of change. Thus, we recommend the establishment of the land use plan and appropriate population policy in Ethiopia.
      PubDate: 2022-05-01
       
  • Logistic Regression Model of Built-Up Land Based on Grid-Digitized Data
           Structure: A Case Study of Krabi, Thailand

    • Free pre-print version: Loading...

      Abstract: Abstract In order to measure and detect land-use changes, it is necessary to know the pace at which land-use changes from one type of land to another. However, due to limited resources, researchers are having difficulty doing statistical analyses on polygonal data structures. The digital data structure lends itself to statistical analysis using general-purpose software, whereas land-use change was assessed solely by counting grid cells. The polygonal data were converted to digital data using the grid-digitized approach. This study compares land-use changes in Thailand's Krabi province in 2000–2009, and 2009–2018. Thematic maps and the bubble plot were used to depict land-use change across Krabi province, with a digitized grid (100 by 100 m) encompassing the entire region. A logistic regression model was used to examine the probability of built-up land. According to the findings, total built-up land was 5164 hectares (1.1% of all areas) in 2000, 9881 hectares (2.1% of all areas) in 2009, and 18,832 hectares in 2018. (4% of all areas). Built-up land rose by 91.3% and 90.6%, respectively, between 2009 and 2018. Each location's land-use was related to the probability of built-up land. Rubber plantation and agricultural land provided the majority of the built-up land. Furthermore, areas closer to metropolitan centers saw a higher percentage rise in built-up land than rural areas. Receiver operating characteristic curves and F-scores indicated that the models were accurate enough.
      PubDate: 2022-05-01
       
  • Evaluating Urban Heat Islands Using the Urban Viability Index (Case Study:
           Karaj Metropolis)

    • Free pre-print version: Loading...

      Abstract: Abstract As one of the most significant aspects of rapid growth without urban planning, reduction in vegetation is often replaced by unauthorized surfaces such as buildings and other impervious surfaces. Karaj metropolis is one of the significant urban areas located 20 km west of Tehran with such rapid growth. The present study evaluates the temporal-spatial variations of Land Surface Temperature (LST) and the Urban Liveability Index (ULI). It also seeks to examine the Urban Heat Islands (UHIs) using the data of the Landsat 5 Thematic Mapper (TM) and Landsat 8 Operational Land Imager (OLI) over 32 years (1987–2019). The Fractal Net Evolution Approach (FNEA) was employed to calculate UHIs, and the deductive Environmental Critical Condition (ECI) method based on LST and NDVI was used for probing the urban environmental situation. The results indicated that the average LST in Karaj metropolis is between 22 and 35 °C. Furthermore, in 1990, the standard deviation of the LST was increased so that more than seven °C was observed for LST. Analysis of temperature zones and their effective parameters such as construction, transportation, and road construction in Karaj metropolis shows a significant negative correlation between LST and NDVI and a positive one between LST and constructed urban areas.
      PubDate: 2022-05-01
       
  • Landslide Susceptibility Mapping Using Machine Learning Algorithm: A Case
           Study Along Karakoram Highway (KKH), Pakistan

    • Free pre-print version: Loading...

      Abstract: Abstract The China–Pakistan Karakoram Highway links China to South Asia and the Middle East through Pakistan. Rockfall and debris flows are dangerous geological risks on the main route, and they often disrupt traffic and result in fatalities. As a result, the landslide susceptibility map (LSM) evolution along the highway could make it safer to drive. In this article, remote sensing data are combined with machine learning algorithms such as Random Forest (RF), Extreme Gradient Boosting (XGBoost), and k-Nearest Neighbors (KNN) to develop the LSM. Initially, 274 landslide locations we determined and mapped in ArcGIS software and randomly divided into a ratio of 8/2. Secondly, ten landslide susceptibility factors were developed using satellite imagery and different topographical and geological maps. Finally, the receiver operating characteristic (ROC) curve, the area under the ROC curve (AUC) value, was used to estimate the model's effectiveness. Our consequences showed that, for three models, the RF, XGBoost, and KNN models, as well as slope, elevation, and distance from the river parameters, had the maximum influence upon landslide sensitivity. Accordingly, the prediction rates are 83.5%, 82.7%, and 80.7% for RF, XGBoost, and KNN. Furthermore, the RF method has better efficiency as compared to other models on the base of AUC. Our findings show that all three machine learning algorithms positively impact, and the results may assist the highway's safe operations.
      PubDate: 2022-05-01
       
  • GNSS Multipath Mitigation Method Based on K-means Classification in Urban
           Environment

    • Free pre-print version: Loading...

      Abstract: Abstract Multipath effect occurs when using the Global Navigation Satellite System (GNSS) in urban environments. Multipath effect means that when the GNSS antenna receives satellite signals, it not only receives direct signals on the direct path, but also signals from the indirect path reflected or diffracted by surrounding objects. Multipath leads to measurement deviation, which leads to inaccurate estimated position. In order to improve positioning accuracy, this paper uses k-means clustering and multipath mitigation methods to reduce multipath errors. Among them, the k-means clustering method is to classify the direct signal and the multipath signal, and uses a multipath suppression algorithm, in which the model coefficient of code deviation is estimated by the combination of least squares and self-regression, and the multipath delay is constructed with a solution. Experiments show that the k-means algorithm can distinguish 96% of direct signals and 85% of multipath signals. Compared with RBF and Liner, the classification accuracy is increased by 43% and 41%, respectively. The multipath mitigation algorithm used greatly improves the positioning accuracy.
      PubDate: 2022-05-01
       
  • Assessing the Potentials of Multi-temporal Sentinel-1 SAR Data for Paddy
           Yield Forecasting Using Artificial Neural Network

    • Free pre-print version: Loading...

      Abstract: Abstract Accurate yield estimation of paddy crop plays an important role in forecasting paddy productivity for ensuring regional or national food security of the country. Although the crop growth models provide accurate yield forecasting, these models are difficult to implement in developing countries like India due to inhomogeneous or/and lack of required information about crop, soil, weather, etc. On the contrary, remotely sensed imagery available homogeneously provides valuable inputs for this purpose. Particularly, synthetic aperture radar (SAR) data proved to have great potential for paddy growth monitoring and biophysical parameters retrieval over optical data. Moreover, the effective use of artificial neural network (ANN) may enable us to understand the complex relation between parameters as well as improve the forecasting performance than using empirical-/semiempirical-based approaches. Thus, the study aims to analyze multi-temporal dual-polarization C-band Sentinel-1 SAR data for paddy yield forecasting using ANN model. In this study, smart sampling based on the normalized difference vegetation (NDVI) and normalized difference water index has been considered to obtain in situ yield measurements in the study area. The peak stage signature of backscattering coefficients is considered to estimate yield due to the maximum possibility of signal to interact with crop cover characteristics. It is observed that the VH-polarization-based ANN model provides better accuracy with coefficient of determination (R2) and root mean square error (RMSE) of 0.72 and 600.11 kg/ha, respectively, in comparison with VV polarization which has shown 0.26 and 948.46 kg/ha, respectively. Overall, the study demonstrates that the effective use of ANN model may provide reliable yield estimation accuracy from remotely sensed imagery alone.
      PubDate: 2022-05-01
       
  • Google Earth Engine-Based Identification of Flood Extent and
           Flood-Affected Paddy Rice Fields Using Sentinel-2 MSI and Sentinel-1 SAR
           Data in Bihar State, India

    • Free pre-print version: Loading...

      Abstract: Abstract Flood is the major cause of fatalities associated with natural disasters in the world. In India especially in the state of Bihar, where about half of the area (North Bihar) gets flooded every year due to the overflow of major rivers during the rainy season. Which severely affects human lives, properties, agricultural production, farmers and their livelihood. Usually, the basins of the Kosi and Gandak rivers are known for their worst affects in Bihar. Synthetic aperture radar (SAR) is widely used for robust monitoring of flood events due to its ability to image the surface of the earth in all weather conditions. However, limited studies are available on flood patterns of Bihar and their impact on agriculture. Here, we investigated the flood extents and affected paddy rice fields for Bihar during the months of June–October (2020) using all accessible Sentinel-1 SAR and Sentinel-2 MSI images with additional supporting datasets available on the Google Earth Engine. The study showed that a large portion of Bihar (7019 km2) was submerged during monsoon season. The floodwater remains in the agricultural fields for 50 to 65 days causing severe damage to the Kharif crops, mainly rice. The extreme effect of flood was seen in agricultural lands (11.23% of the total area) and populations (15.56% of the total population) in Bihar. Satellite-based identification of flood progression and affected rice fields can be helpful for decision-makers at the time of disaster to prioritize relief and rescue operations.
      PubDate: 2022-05-01
       
  • Passive and Active Remote Sensing Data as Indicators of Vegetation
           Condition in Dry Woodland

    • Free pre-print version: Loading...

      Abstract: Abstract An important challenge is getting to know the condition of vegetation in dry woodlands, fragile ecosystems with high ecological value, to propose conservation strategies. Our objectives were: (1) to quantify on-the-ground vegetation composition and structure in dry Ramorinoa girolae-dominated woodlands on three study sites, using (A) field-based methods and (B) passive and active remotely sensed data at multi-scale and (2) to assess whether the integration of different remote sensors allows for a better estimation. We recorded field-based data on 36 plots of 50 × 30 m distributed in three sites (Ischigualasto n = 16; Valle Fértil n = 10; Private land n = 10). On each plot, we estimated the standard deviation (SD) of passive (EVI—Enhanced Vegetation Index—and SATVI—Soil Adjusted Total Vegetation Index) and active imagery data (SD of VV and VH polarisation) at multi-scale. The results of this approach show that passive and active remote sensing data were good indicators of almost all field-based data recorded at stand scale, except for richness, which was not related to remote sensing data. Shrub biomass, tree biomass and abundance of R. girolae were better explained by multi than single-sensor models. Only the variance in canopy cover of R. girolae was explained by single-sensor models. This work expands our understanding of the relationship of field-based data with both passive and active remotely sensed data, providing evidence that they could be used as a proxy for vegetation structure in dry R. girolae-dominated woodlands.
      PubDate: 2022-05-01
       
  • Analyzing and Predicting Spatiotemporal Urban Sprawl in Eskişehir
           Using Remote Sensing Data

    • Free pre-print version: Loading...

      Abstract: Abstract Urban areas of major cities in developing countries are expanding rapidly due to rapid population growth and industrialization. Determining the reasons for rapid urbanization and the amount of urban area that will be needed in the future is important for the planned growth of these cities. In this study, the LU/LC change of Eskisehir city center that has a rapid rate of urbanization and industrialization in Turkey between 1984 and 2020 was determined. Then, the area needed for urban and industrial areas in 2030 was investigated using the Cullullar Automata–Markov Chain (CA–MC) hybrid model simulation. Each year's LU/LC map was produced with over 80% kappa accuracies performing the pixel-based Random Forest (RF) algorithm for change analysis. In the change analysis made between 1984 and 2020, it was determined that there was a change of 117% in the urban area and 977% in the industrial area. The prediction was made for the validation of the CA–MC model from the period 2000–2010 to 2020. When compared with the 2020 LU/LC map, the model success was obtained as 0.84, 0.87, and 0.87 in the Kstandard, Klocation, and Kno Kappa metrics, respectively. By using the 2010–2020 periods in the estimation of 2030, it has been observed that the urban and industrial area will increase by 22.95%; therefore, there will be decreases in agriculture and other natural areas as in previous years.
      PubDate: 2022-05-01
       
  • UAV/Drone-Based Identification of Geomorphic and Structural Anomalies as
           Probable Indicators of Economic Mineral Deposits in Girar Area of Lalitpur
           District, U.P., (India)

    • Free pre-print version: Loading...

      Abstract: Abstract Satellite remote sensing data and UAV/Drone images have been conjunctively used for identification and mapping of probable indicators of economic mineral deposits in Girar area of Lalitpur district. Area of interest for UAV/Drone survey was selected from the digitally enhanced IRS P6 LISS-IV images. Very high-resolution (3.95 cm/pix) UAV/Drone images have been captured, and their photogrammetric processing and DEM generation were performed using Agisoft Metashape software. Subsequently, digital image enhancements such as principal component analysis and some filtering techniques viz. high-pass and low-pass filters using 3 × 3, 5 × 5 kernel have been applied on UAV images. Abrupt changes in regular linear and curvilinear pattern and also in the dimension of the landforms and the macro-level terrain information have also been detected from digitally enhanced and filtered drone data. Anomalous orientation, disposition and abrupt changes in the shape and pattern of landforms, particularly the ridges at some places, have been referred to as geomorphic anomalies. Lineaments with a few hundreds of meters of length have been delineated on spatially enhanced images and DEMs generated from UAV/Drone data. Sudden change in slope and relatively steeper valley walls are distinguishable on UAV data-based Digital Elevation Model (DEM), thereby vindicating the existence of lineaments. Intersections of ENE-WSW and NW–SE trending lineaments in Girar ridge area have been marked as structural anomalies. UAV/Drone images have not only yielded precise information about the spatial extent of anomalies (earlier been identified on IRS P6 LISS-IV satellite images), but have also helped in the identification of smaller geomorphic and structural anomalies, which were otherwise difficult to identify on satellite images. Further, the field investigations have revealed the rock outcrops of Banded Haematite Quartzite (BHQ) within these geomorphic and structural anomalies with BHQ considered to be potential host rocks for iron oxides (Fe2O3). The structural and geomorphic anomalies demarcated on digitally processed UAV/Drone images and DEMs of this area seem to be the probable indicators for iron deposits.
      PubDate: 2022-05-01
       
  • Self-Training with Spatially Confident and Diverse Samples for the
           Classification of Remote Sensing Images

    • Free pre-print version: Loading...

      Abstract: Abstract Classification of the remotely sensed images is an arduous task due to the limited availability of labeled samples. The collection of labeled samples in remote sensing areas is a very tedious, time-consuming, and costly process. To solve the problem of labeled samples, self-training semi-supervised techniques have been explored in many ways to classify remotely sensed images. However, the traditional self-training semi-supervised classification technique may produce poor classification accuracy due to the selection of low-quality pseudo-labeled samples. In this work, a new self-training semi-supervised classification method has been proposed, which selects the pseudo labeled pixels based on spatial confidence and diversity criterion. The proposed sample selection technique produce correctly classified and diverse pixels for the training set, which may be informative. The experimental results show that the proposed method has the potential to improve the discriminative power of the classifiers trained in a self-training framework.
      PubDate: 2022-05-01
       
  • Identifying Rip Channels Along RK Beach, Visakhapatnam Using Video and
           Satellite Imagery Analysis

    • Free pre-print version: Loading...

      Abstract: Abstract Rip currents are one of the most well-known coastal hazards on the world's beaches. Identification and continuous monitoring of these currents are essential for the safety of beachgoers and prevent the number of drowning cases. Studies on the diversity of rip currents in space and time off the Indian coast are minimal. However, these have long been the subject of research worldwide. Based on the earlier rip current-related works in Visakhapatnam beaches, RK Beach is known for highest recorded number of drowning deaths. Albeit, much attention is not given to monitor and safeguard beachgoers from these furious currents. In this work, a preliminary experimental study has been initiated with an objective of continuous monitoring and identification of significant rip channels along Visakhapatnam beaches from video imagery data by adopting and implementing an open-source, Quantitative Coastal Imaging Toolbox (QCIT). Ten minutes of video data were collected from temporarily installed camera for different months. Later, QCIT was used to pre-process the video data, camera calibration, domain definition followed by rectification products. Rectification products contain single image products and pixel instruments. Single-image products such as Timex, and bright and dark images are obtained by calculating the average, maximum, and minimum intensity on the rectified frames, respectively. The phenomenon of persistent gaps in wave-breaking events that appear as dark spots on bright background from Timex images shows quasi-permanent rip channels. The locations of the rip channels extracted from the Timex images were accurately well matched to the hotspot maps of the rip currents obtained from the high-resolution satellite images, drifter and die experiments at the study site. However, once the video camera is permanently set up, further statistical analysis with continuous data availability is also possible. Further implementation of this study would be helpful in the continuous monitoring of coastal rip currents, other coastal parameters (i.e., alongshore currents, shoreline mapping, wave run-up, and up-to-date nearshore estimated bathymetry), and implementation of numerical modeling of coastal processes by supplying better inputs. With these essential results, ESSO-INCOIS and SAC-ISRO have embarked on a project with the primary objective of continuous monitoring and issuing operational forecasting alerts of rip currents by developing a coastal video surveillance system that also provides information on complex coastal and nearshore processes.
      PubDate: 2022-04-26
       
 
JournalTOCs
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Email: journaltocs@hw.ac.uk
Tel: +00 44 (0)131 4513762
 


Your IP address: 3.236.50.252
 
Home (Search)
API
About JournalTOCs
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-