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Geosfera Indonesia
Published by Universitas Jember
ISSN : 25989723     EISSN : 26148528     DOI : -
Core Subject : Science, Social,
Earth & Planetary Sciences Environmental Science Social Sciences
Geosfera Indonesia : | ISSN: 2598-9723 (Print)| ISSN: 2614-8528 (Online) is published by Department of Geography Education, University of Jember, Indonesia. We accept mainly research-based articles related to geography. Geosfera Indonesia welcomes contributions in such areas of current analysis in: (1) Geography Education, (2) Geography (Physical Geography and Human Geography), (3) Geographic Information System (GIS), (4) Remote Sensing, (5) Environmental Science, and (6) Disaster Mitigation. Since volume 1, it is published three times a year in April, August, and December. Every issue consisted of 12 articles.
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Articles 5 Documents
 1 
Search results for , issue "Vol 5 No 3 (2020): GEOSFERA INDONESIA" : 5 Documents clear
The Assessment of Deforestation Impact Towards Microclimate and Environment in Ilorin, Nigeria Toluwalope Mubo Agaja; Elisha Ademola Adeleke; Enekole Esther Adeniyi; Precious Temilade Afolayan
Geosfera Indonesia Vol 5 No 3 (2020): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v5i3.16874

Abstract

Nigeria obtains high rate of deforestation with a loss of about 60 percent of its primary forests between 2000 and 2005 as a result of logging, subsistence agriculture, wood exploitation, and urban expansion.This research assessed the level of deforestation and how it has affected Ilorin’s microclimate and the environments. The specific objectives of this study were assessing the relationship that occurs between deforestation and microclimate, examining deforestation and the impact it has within the study area of microclimate, and forecasting the microclimate within the study area by the year 2030. The statistical tools engaged were both descriptive (mean, frequency distribution table and, bar charts) and inferential statistics (multiple regression analysis). The research indicated that there is a significant relationship between deforestation with r2 variables of 0.888 for maximum temperature, 0.201 for minimum temperature, 0.997 for precipitation, 0.43 for solar output, -0.797 and -0.873 for evapotranspiration and relative humidity respectively and Ilorin’s microclimate. The study concludes that deforestation greatly influences the microclimate of Ilorin and occurs due to human’s anthropogenic activities. Deforestation has also led to climate change. Keywords: Deforestation; Climate; Micro-climate; Vegetation Cover Copyright (c) 2020 Geosfera Indonesia Journal and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
Development of Multimedia Learning Geography Based on Adobe Flash to Increase Students’ Curiosity Wahid Yuda Rejeki; M. Mukminan
Geosfera Indonesia Vol 5 No 3 (2020): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v5i3.14765

Abstract

This study aimed to analyze: (1) The needs of multimedia Adobe Flash-based towards geographic learning, (2) Geography multimedia learning of Adobe Flash-based to increase students' curiosity, and (3) The feasibility of utilizing geography multimedia based on Adobe Flash-based learning using ADDIE method. The needs of multimedia learning assessment data were collected through questionnaires towards respondents (2 teachers and 32 students). Meanwhile, regarding the feasibility of multimedia geography learning to increase students' curiosity, data were gathered both by tests and questionnaires. The feasibility assessment was performed with expert validation instruments and student assessments. The data analysis tool utilized was one-way ANOVA. The study results as follows: (1) Students needs of geography multimedia learning based on Adobe Flash, (2) For effectiveness rate of multimedia and treatment, Fcount = 20,875> Ftable = 3.99, indicates that geography learning based on Adobe Flash is can escalate students’ curiosity, (3) Based on experts judgments and the students’ assessments, it could be concluded that the geography multimedia learning based on Adobe Flash is 91.4%, hence it is very suitable to be implemented. Multimedia learning based on Adobe Flash geography has increased students' curiosity and feasible to implement. Keywords: Adobe Flash; Geography; Multimedia; Curiosity. Copyright (c) 2020 Geosfera Indonesia Journal and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
Geospatial Approach for the Analysis of Forest Cover Change Detection using Machine Learning R. Sanjeeva Reddy; G. Anjan Babu; A. Rama Mohan Reddy
Geosfera Indonesia Vol 5 No 3 (2020): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v5i3.20157

Abstract

Spatial data classification is famous over recent years in order to extract knowledge and insights into the data. It occurs because vast experimentation was used with various classifiers, and significant improvement was examined in accuracy and performance. This study aimed to analyze forest cover change detection using machine learning. Supervised and unsupervised learning methods were used to analyze spatial data. A Vector machine was used to support the supervised learning, and a neural network method was used to support unsupervised learning. The Normalized Difference Vegetation Index (NDVI) was used to identify the bands and extract pixel information relevant to the vegetation. The supervised method shows better results because of its robust performance and better analysis of spatial data classification using vegetation index. The proposed system experimentation was implemented by analyzing the results obtained from Support Vector Machine (SVM) and NN (Neural Network) methods. It is demonstrated in the results that the use of NDVI mainly enhances the performance and increases the classifier's accuracy to a greater extent. Keywords: Spatial data; Normalized Difference Vegetation Index; NDVI;Vegetation index, Support Vector Machine; Neural Network; Forest Cover Change Copyright (c) 2020 Geosfera Indonesia Journal and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
Emerging Geospatial Technologies in Environmental Research, Education, and Outreach Sergio Bernardes; Margueritte Madden; Ashurst Walker; Andrew Knight; Nicholas Neel; Akshay Mendki; Dhaval Bhanderi; Andrew Guest; Shannon Healy; Thomas Jordan
Geosfera Indonesia Vol 5 No 3 (2020): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v5i3.20719

Abstract

Drawing on the historical importance of visual interpretation for image understanding and knowledge discovery, emerging technologies in geovisualization are incorporated into research, education and outreach at the Center for Geospatial Research (CGR) in the Department of Geography at the University of Georgia (UGA), USA. This study aimed to develop the 3D Immersion and Geovisualization (3DIG) system consisting of uncrewed aerial systems (UAS) for data acquisition, augmented and virtual reality headsets and mobile devices, an augmented reality digital sandbox, and a video wall. We were working together integrated data products from the UAS imagery, including digital image mosaics and 3D models, and readily available gaming engine software to create augmented and virtual reality immersive visualizations. The use of 3DIG in research is demonstrated in a case study documenting the seasonal growth of vegetables in small gardens with a time series of 3D crop models generated from UAS imagery and Structure from Motion photogrammetry. Demonstrations of 3DIG in geography and geology courses, as well as public events, also indicate the benefits of emerging geospatial technologies for creating active learning environments and fostering participatory community engagement. Keywords: Environmental Education; Geovisualization; Augmented Reality; Virtual Reality; UAS, Photogrammetry Copyright (c) 2020 Geosfera Indonesia Journal and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
A Review Paper on Monitoring Environmental Consequences of Land Cover Dynamics with The Help of Geo-informatics Technologies Ziyad Ahmed Abdo; Satya Prakash
Geosfera Indonesia Vol 5 No 3 (2020): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v5i3.18284

Abstract

Land cover dynamics is a challenging and vigorous process that associates natural and human systems that have undeviating effects on atmosphere, water and soil which lead to many environmental problems worldwide. Urbanization is one of a major land cover change that is highly correlated with many environmental problems that need emphasis. This paper aimed to review and present level and effect of land use land cover changes, urbanization, factors affecting land cover change and application of geographic information system & remote sensing in monitoring land cover changes. Over the past 300 years, about 1.2 million kilometer square of forests and 5.6 million kilometer square of pasture and rangeland were replaced by other uses worldwide, while cultivated land increased by 12 million km2. In 1950, only 30 percent of the world population lived in urban settings, the fraction raised to 55% by 2018. This led to about roughly 60% of the ecosystem services are being destroyed or used in unsustainable ways worldwide. Population expansion, change of technology, high land value, corruption, lack of awareness, migration of people and political pressure are among major driving force of land cover changes. Geo-informatics technology specially GIS and Remote Sensing is found to be an excellent tool for study of land cover change that enables observation across large area of earth’s surface with low cost, better efficient and high accuracy. Therefore monitoring, analyzing and evaluation of land cover dynamics with the help of geo-informatics is decisive for improved management & characterizing land cover alteration processes, and determining its environmental consequences. Keywords : land use; land cover change; urbanization; GIS & remote sensing; environment Copyright (c) 2020 Geosfera Indonesia Journal and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License

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