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  Subjects -> GEOGRAPHY (Total: 493 journals)
Showing 401 - 277 of 277 Journals sorted alphabetically
Revista de Geografia (Recife)     Open Access  
Revista de Geografia e Ordenamento do Território     Open Access  
Revista de Geografía Norte Grande     Open Access   (Followers: 1)
Revista de la Asociacion Geologica Argentina     Open Access  
Revista de Teledetección     Open Access  
Revista del Museo de La Plata     Open Access  
Revista do Instituto de Estudos Brasileiros     Open Access  
Revista Eletrônica : Tempo - Técnica - Território / Eletronic Magazine : Time - Technique - Territory     Open Access  
Revista Espinhaço     Open Access  
Revista Estudios Hemisféricos y Polares     Open Access  
Revista Geama     Open Access  
Revista Geoaraguaia     Open Access  
Revista Geográfica de América Central     Open Access  
Revista Geonorte     Open Access  
Revista Interamericana de Ambiente y Turismo     Open Access  
Revista Intercontinental de Gestão Desportiva     Open Access  
Revista Interdisciplinar da Mobilidade Humana     Open Access  
Revista Latinoamericana de Antropología del Trabajo     Open Access  
Revista Tamoios     Open Access  
Revista Tocantinense de Geografia     Open Access  
Revista Universitaria de Geografía     Open Access  
Revista Uruguaya de Antropología y Etnografía     Open Access  
Revue archéologique du Centre de la France     Open Access   (Followers: 1)
Revue de géographie historique     Open Access   (Followers: 1)
RIEM : Revista Internacional de Estudios Migratorios     Open Access  
Rocznik Toruński     Open Access  
Rural & Urbano     Open Access  
San Francisco Estuary and Watershed Science     Open Access  
Sasdaya : Gadjah Mada Journal of Humanities     Open Access  
Saúde e Meio Ambiente : Revista Interdisciplinar     Open Access  
Scandinavistica Vilnensis     Open Access  
Scientific Annals of Stefan cel Mare University of Suceava. Geography Series     Open Access  
Scottish Geographical Journal     Hybrid Journal   (Followers: 4)
Scripta Nova : Revista Electrónica de Geografía y Ciencias Sociales     Open Access  
Sémata : Ciencias Sociais e Humanidades     Full-text available via subscription  
Seoul Journal of Korean Studies     Full-text available via subscription   (Followers: 4)
Singapore Journal of Tropical Geography     Hybrid Journal   (Followers: 6)
Social Dynamics: A journal of African studies     Hybrid Journal   (Followers: 3)
Social Geography Discussions (SGD)     Open Access   (Followers: 7)
Sociedade & Natureza     Open Access  
South African Geographical Journal     Hybrid Journal   (Followers: 1)
South African Journal of Geomatics     Open Access   (Followers: 2)
South Asian Diaspora     Hybrid Journal   (Followers: 3)
South Australian Geographical Journal     Open Access  
Southeastern Europe     Hybrid Journal   (Followers: 3)
Southeastern Geographer     Full-text available via subscription   (Followers: 2)
Southern African Journal of Environmental Education     Open Access  
Sport i Turystyka : Środkowoeuropejskie Czasopismo Naukowe     Open Access  
Sriwijaya Journal of Environment     Open Access  
Standort - Zeitschrift für angewandte Geographie     Hybrid Journal   (Followers: 3)
Studia Universitatis Babes-Bolyai, Geologia     Open Access  
Studies in African Languages and Cultures     Open Access   (Followers: 1)
Technology and Technique of Typography     Open Access  
Tectonics     Full-text available via subscription   (Followers: 15)
Terra     Open Access  
Terra Brasilis     Open Access  
Terrae Incognitae     Hybrid Journal   (Followers: 1)
Territoire en Mouvement     Open Access  
The Canadian Geographer/le Geographe Canadien     Hybrid Journal   (Followers: 8)
The Geographic Base     Open Access   (Followers: 9)
The Geographical Journal     Hybrid Journal   (Followers: 17)
The South Asianist     Open Access   (Followers: 2)
Third Pole: Journal of Geography Education     Open Access  
Tidsskrift for Kortlægning og Arealforvaltning     Open Access  
Tiempo y Espacio     Open Access  
TRaNS : Trans-Regional-and-National Studies of Southeast Asia     Full-text available via subscription   (Followers: 4)
Transactions of the Institute of British Geographers     Hybrid Journal   (Followers: 28)
Transmodernity : Journal of Peripheral Cultural Production of the Luso-Hispanic World     Open Access   (Followers: 4)
Treballs de la Societat Catalana de Geografia     Open Access  
TRIM. Tordesillas : Revista de investigación multidisciplinar     Open Access  
Turystyka Kulturowa     Open Access  
UD y la Geomática     Open Access  
UNM Geographic Journal     Open Access   (Followers: 1)
Urban Climate     Hybrid Journal   (Followers: 4)
Urban Geography     Hybrid Journal   (Followers: 36)
Urban History Review / Revue d'histoire urbaine     Full-text available via subscription   (Followers: 7)
Urban Research & Practice     Hybrid Journal   (Followers: 20)
Vegueta : Anuario de la Facultad de Geografía e Historia     Open Access  
Visión Antataura     Open Access   (Followers: 6)
Water International     Hybrid Journal   (Followers: 19)
Watershed Ecology and the Environment     Open Access  
Wellbeing, Space & Society     Open Access   (Followers: 3)
Yearbook of the Association of Pacific Coast Geographers     Full-text available via subscription   (Followers: 2)
Załącznik Kulturoznawczy / Cultural Studies Appendix     Open Access  

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Revista de Teledetección
Journal Prestige (SJR): 0.187
Number of Followers: 0  

  This is an Open Access Journal Open Access journal
ISSN (Print) 1133-0953 - ISSN (Online) 1988-8740
Published by Universitat Politècnica de València Homepage  [24 journals]
  • Analysis of synergies between Urban Heat Island and Heat Waves using
           Sentinel-3 images over the city of Granada

    • Authors: David Hidalgo-García, Julián Arco-Díaz
      Pages: 1 - 15
      Abstract: Understanding the synergies between the Urban Heat Island (ICU) phenomenon and one of the extreme climatic events such as heat waves has become one of the great challenges of society that seeks to improve the quality of life. In this research, the Terrestrial Surface Temperature (TST) and the Urban Surface Heat Island (ICUS) have been determined using Sentinel-3 images of the city of Granada (Spain) during the months of July and August of the years 2019 and 2020. The purpose is to determine the possible synergies between both phenomena in an area classified as highly vulnerable to the effects of climate change. Using the Data Panel statistical analysis method, multivariate relationships were obtained during the heat wave periods. The results obtained, in line with previous research, indicate that TST and ICUS are intensified under heat wave conditions (Daytime: TST=2.2 °C and ICUS=0.2 °C; Nighttime: TST=4.4 °C and ICUS= 0.3 °C) and there are relationships between ICUS and wind direction and solar radiation that intensify in periods of heat wave.
      PubDate: 2022-07-26
      DOI: 10.4995/raet.2022.17128
  • Improved rainfall and temperature satellite dataset in areas with scarce
           weather stations data: case study in Ancash, Peru

    • Authors: Eduardo E. Villavicencio, Katy D. Medina, Edwin A. Loarte, Hairo A. León
      Pages: 17 - 28
      Abstract: Rainfall and temperature variables play an important role in understanding meteorology at global and regional scales. However, the availability of meteorological information in areas of complex topography is difficult, as the density of weather stations is often very low. In this study, we focused on improving existing satellite products for these areas, using Tropical Rainfall Measuring Mission (TRMM) and Global Precipitation Measurement (GPM) data for rainfall and Modern Era Retrospective Analysis for Research and Applications Version 2 (MERRA-2) data for air temperature. Our objective was to propose a model that improves the accuracy and correlation of satellite data with observed data on a monthly scale during 2012-2017. The improvement of rainfall satellite data was performed using 4 regions: region 1 Santa (R1Sn), region 2 Marañón (R2Mr), region 3 Pativilca (R3Pt) and region 4 Pacific (R4Pc). For temperature, a model based on the use of the slope obtained between temperature and altitude data was used. In addition, the reliability of the TRMM, GPM and MERRA-2 data was analyzed based on the ratio of the mean square error, PBIAS, Nash-Sutcliffe efficiency (NSE) and correlation coefficient. The final products obtained from the model for temperature are reliable with R2 ranging from 0.72 to 0.95 for the months of February and August respectively, while the improved rainfall products obtained are shown to be acceptable (NSE≥0.6) for the regions R1Sn, R2Mr and R3Pt. However, in R4Pc it is unacceptable (NSE<0.4), reflecting that the additive model is not suitable in regions with low rainfall values.
      PubDate: 2022-07-26
      DOI: 10.4995/raet.2022.16907
  • Cover classifications in wetlands using Sentinel-1 data (Band C): a case
           study in the Parana river delta, Argentina

    • Authors: Mariela Rajngewerc, Rafael Grimson, Lucas Bali, Priscilla Minotti, Patricia Kandus
      Pages: 29 - 46
      Abstract: With the launch of the Sentinel-1 mission, for the first time, multitemporal and dual-polarization C-band SAR data with a short revisit time is freely available. How can we use this data to generate accurate vegetation cover maps on a local scale' Our main objective was to assess the use of multitemporal C-Band Sentinel-1 data to generate wetland vegetation maps. We considered a portion of the Lower Delta of the Paraná River wetland (Argentina). Seventy-four images were acquired and 90 datasets were created with them, each one addressing a combination of seasons (spring, autumn, winter, summer, complete set), polarization (VV, HV, both), and texture measures (included or not). For each dataset, a Random Forest classifier was trained. Then, the kappa index values (κ) obtained by the 90 classifications made were compared. Considering the datasets formed by the intensity values, for the winter dates the achieved kappa index values (κ) were higher than 0.8, while all summer datasets achieved κ up to 0.76. Including feature textures based on the GLCM showed improvements in the classifications: for the summer datasets, the κ improvements were between 9% and 22% and for winter datasets improvements were up to 15%. Our results suggest that for the analyzed context, winter is the most informative season. Moreover, for dates associated with high biomass, the textures provide complementary information.
      PubDate: 2022-07-26
      DOI: 10.4995/raet.2022.16915
  • High Resolution Land Cover Mapping and Crop Classification in the Loukkos
           Watershed (Northern Morocco): An Approach Using SAR Sentinel-1 Time Series

    • Authors: El Mortaji Nizar, Miriam Wahbi, Mohamed Ait Kazzi, Otmane Yazidi Alaoui, Hakim Boulaassal, Mustapha Maatouk, Mohamed Najib Zaghloul, Omar El Kharki
      Pages: 47 - 69
      Abstract: Remote sensing has become more and more a reliable tool for mapping land cover and monitoring cropland. Much of the work done in this field uses optical remote sensing data. In Morocco, active remote sensing data remain under-exploited despite their importance in monitoring spatial and temporal dynamics of land cover and crops even during cloudy weather. This study aims to explore the potential of C-band Sentinel-1 data in the production of a high-resolution land cover mapping and crop classification within the irrigated Loukkos watershed agricultural landscape in northern Morocco. The work was achieved by using 33 dual-polarized images in vertical-vertical (VV) and vertical-horizontal (VH) polarizations. The images were acquired in ascending orbits between April 16 and October 25, 2020, with the purpose to track the backscattering behavior of the main crops and other land cover classes in the study area. The results showed that the backscatter increased with the phenological development of the monitored crops (rice, watermelon, peanuts, and winter crops), strongly for the VH and VV bands, and slightly for the VH/VV ratio. The other classes (water, built-up, forest, fruit trees, permanent vegetation, greenhouses, and bare lands) did not show significant variation during this period. Based on the backscattering analysis and the field data, a supervised classification was carried out, using the Random Forest Classifier (RF) algorithm. Results showed that radiometric characteristics and 6 days’ time resolution covered by Sentinel-1 constellation gave a high classification accuracy by dual-polarization with Radar Ratio (VH/VV) or Radar Vegetation Index and textural features (between 74.07% and 75.19%). Accordingly, this study proves that the Sentinel-1 data provide useful information and a high potential for multi-temporal analyses of crop monitoring, and reliable land cover mapping which could be a practical source of information for various purposes in order to undertake food security issues.
      PubDate: 2022-07-26
      DOI: 10.4995/raet.2022.17426
  • Water area and volume calculation of two reservoirs in Central Cuba using
           Remote Sensing Methods. A new perspective

    • Authors: Alexey Valero-Jorge, Roberto González-De Zayas, Anamaris Alcántara-Martín, Flor Álvarez-Taboada, Felipe Matos-Pupo, Oscar Brown-Manrique
      Pages: 71 - 87
      Abstract: The availability, quality and management of water constitute essential activities of national, regional and local governments and authorities. Historic annual rain (between 1961 and 2020) in Chambas River Basin (Central Cuba) was evaluated. Two remote sensing methods (Normalized Difference Water Index and RADAR images) were used to calculate the variation of water area and volumes of two reservoirs (Chambas II and Cañada Blanca) of Ciego de Ávila Province at end of wet and dry seasons from 2014-2021. The results showed that mean annual rain was 1330.9 ± 287.4 mm and it did not showed any significant tendency at evaluated period. For both reservoirs, mean water areas measured with two methods were 19 % and 8 % smaller than the mean water area reported by authorities for the same period. The static water storage capacity (water volume) of both reservoirs varied (as area) between seasons with the greatest volume in both reservoirs recorded in October of 2017 (30.5 million of m3 in Chambas II and 45.1 million of m3 in Cañada Blanca reservoir). Large deviations of water area and volumes occurred during the dry season (lower values) and the wet season of 2017 (influenced by rain associated to of Hurricane Irma) and wet season of 2020 (influenced by rain associated to tropical storm Laura). Calculated area – volume models with significant statistical correlation are another useful tool that could be used to improve water management in terms of accuracy and to increase reliable results in cases where gauge measurements are scarce or not available.
      PubDate: 2022-07-26
      DOI: 10.4995/raet.2022.17770
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