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INTERNATIONAL JOURNAL OF ENVIRONMENT AND GEOSCIENCES
Published by Universitas Udayana
ISSN : -     EISSN : 25498878     DOI : https://doi.org/10.24843/ijeg.2017.v01.i01
Core Subject : Science, Agriculture, Social,
Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Environmental Science
International Journal of Environment and Geosciences (e-ISSN 2549-8878) is a peer-reviewed journal and an international scholarly refereed research journal which aims to promote the theory and practice of environmental sciences, geosciences, earth sciences, engineering and management. This journal presents original research articles, letters as well as review articles, publishes the latest achievements and developments in the field of environmental studies (abiotics, biotics and cultural/socials) and geosciences. All contributions shall be rigorously refereed and selecting on the basis of quality and originality of the work as well as the breadth of interest to readers. Accepted papers will immediately appear online.
Arjuna Subject : Ilmu Lingkungan (semua ketegori) - Ilmu Lingkungan (Lain-Lain)
Articles 27 Documents
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Remote Sensing Application to Estimate Groundwater Recharge in Denpasar and Surrounding Areas I Nyoman Artabudi; Takahiro Osawa; I Wayan Budiarsa Suyasa
International Journal of Environment and Geosciences Vol 1 No 1 (2017)
Publisher : Graduate Study of Environmental Sciences, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/ijeg.2017.v01.i01.p02

Abstract

Water is one of the most important resources for human life, both to support the daily activities and for irrigation purposes as well as supporting tourism industry. Until now the groundwater is still ranked as the major needs, especially in densely populated areas like Denpasar. Groundwater is renewable natural resources, and plays an important role in the provision of water supplies for various purposes. Understanding the spatial variability of groundwater recharge is very important for proper water resource management. Precipitation measurement by satellite especially Global Satellite Mapping for Precipitation, can be applied to large areas only, it can be stated that use of satellite data always results in an improvement of the spatial precipitation estimate if gauge density is low. The aim of this research was to determine precipitation patterns, precipitation groundwater relationship and to estimate local groundwater recharge rate across the Southern Bali basin using remote sensing. This study considers the direct estimation of recharge using recovery of the groundwater level (?H) and total precipitation (Pt) during the wet period. Groundwater recharge was estimated from these two variables using a simple regression equation. The patterns of precipitation in research area was monsoonal dry season occurred in July to August, wet season occurs during November to April and punctuated by transitional season. Precipitation influence on groundwater oscillation occurred on 1~2 months earlier. The amount of recharge rate in the study area based on the results of the study period 2005~2009, for the precipitation data from Global Satellite Mapping for Precipitation ranges from 218 ~ 220 mm per year or about 26 percent of the annual average of precipitation and 650 ~ 660 mm per year or about 32 percent based on the rain gauge data.
Analysis Of Land Use In The Southern Part Of Bali Using Fusion Techniques I Kadek Adiana Putra; Takahiro Osawa; Made Sudiana Mahendra
International Journal of Environment and Geosciences Vol 2 No 2 (2018)
Publisher : Graduate Study of Environmental Sciences, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/ijeg.2018.v02.i02.p05

Abstract

The southern part of Bali is a central region of tourism, especially in the Sub District of North Kuta, Kuta and South Kuta. The rapid development of tourism is with increasing infrastructure development. Monitor and analyze need to the land use. In this study a fusion technique with HSV method as the combination with ALOS AVNIR-2 2008 and ALOS PRISM in 2008, to estimate of the level of accuracy of image fusion with ALOS AVNIR-2 and subsequent for the analysis of land use in southern part of Bali. Results of the accuracy test with Google Earth showed land use result fusion has high accuracy with overall accuracy of 83. 5%. Analyze of land use showed that significant decrease of moor area in Jimbaran hill, due to rapid development of infrastructure of tourism is very rapid and then extensive residential areas have increased particularly in Sub district of the North Kuta.
Studi of Environmental Optimum for Pearl Oyster (Pinctada maxima) Aquacuolture Using Marine GIS and Remote Sensing Case Study of Buleleng Regency, North Bali, Indonesia Mohan Budiman; Takahiro Osawa; I Wayan Arthana
International Journal of Environment and Geosciences Vol 2 No 1 (2018)
Publisher : Graduate Study of Environmental Sciences, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/ijeg.2018.v02.i01.p02

Abstract

Oyster aquaculture is one of priorities for development and promotion of aquaculture activities in Buleleng Regency and since 2010 the production always increase and supports coastal communities. The selection of aquaculture structure system and farm site are importance. The selection should be based on an appraisal of the life history, habits, environmental parameters and socio-infrastructure. This study focused on obtaining the aquaculture structure system and site selection for Pearl Oyster (Pinctada maxima) in Buleleng Regency with seven attributes Chl-a, SST, bathymetry, and currents, distance to town, distance to pier, and distance to laboratory. The model structure for identifying culture structure and suitable sites for oyster aquaculture in coastal of Buleleng Regency was built on MCE (Multi Criteria Evaluation), the final result for suitable site outputs were compared with pearl production in Buleleng Regency in 2009, 2010, and 2011. The result of this study is that most areas at Buleleng coastal had medium suitability scores.
The Climate Change Impact on Coral in Weh Island and Aceh Island Indonesia A. Besse Rimba; Fusanori Miura; Joseph Maina; Abd. Rahman As-syakur; Stuart Campbell
International Journal of Environment and Geosciences Vol 3 No 1 (2019)
Publisher : Graduate Study of Environmental Sciences, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/ijeg.2019.v03.i01.p05

Abstract

Climate change is a global phenomenon that affects all aspects of life. Climate change also affects marine life such as coral reefs. This study aims to determine the effect of climate stress on coral in Weh Island and Aceh Island-indonesia. This study combined ground check time series data with time series data of satellite oceans, data is grouped into two categories. They are biodiversity data and climate stress data. The biodiversity data obtained fish data and coral data from in-situ data since 2005 to 2011 and climate data stress data obtained from compilation of satellite ocean data since 1983 to 2011. Biodiversity data includes number species of fish and the genus of coral biodiversity and coral community susceptibility. Climate stress is grouped into three categories. They are radiation, stress reinforcing and reducing stress. Radiation stress factors consists temperature, UV light and doldrums. Stress-reinforcing factors consists sedimentation and eutrophication. Then stress-reducing factors consists temperature variability and tidal amplitude. Base on the research result shows that climate stress has impact on coral condition. Environmental pressure gives significant effect on biodiversity. The climate-change affects indirect impact on the fish and coral reef. Climate change influences the ocean condition. Some of the biodiversity cannot resist due to the ocean condition changes drastically.
Estimation of Carbon Sequestration in Tropical Peat Swamp Forest in Central Kalimantan Using Satellite Based on Primary Productivity Dewa Ayu Mery Agustin; Takahiro Osawa; I Putu Gede Ardhana
International Journal of Environment and Geosciences Vol 2 No 2 (2018)
Publisher : Graduate Study of Environmental Sciences, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/ijeg.2018.v02.i02.p01

Abstract

One of approach that can be used to estimate the carbon sequestration by vegetation is to calculate the Gross Primary Productivity (GPP) in Central Kalimantan. GPP is total carbon that can be absorbed by vegetation to be used in the process of photosynthesis. The purpose of this study is to estimate the value of GPP using Vegetation Photosynthesis and Respiration Model (VPRM) and analyze the data comparison between GPP value data derived from flux tower and GPP value data from MODIS data. The field data from flux tower was taken by Hirano et al. (2007) from January 1, 2004 to December 31, 2005. The MODIS data is used MODIS Surface Reflectance Level 3 data year 2004 to 2005. According to the result of this study, the maximum GPP value year 2004 and 2005 showed 302.365 gC m-2 per month (February 2004) and 366.841 gC m-2 per month (June 2005). The minimum GPP value year 2004 and 2005 was 166.003 gC m-2 per month (November 2004) and 187.663 gC m-2 per month (March 2005). The total value of GPP in year 2004 was 1,134.231 gC m-2 yr-1 and in year 2005 the value was 1,109.001 gC m-2 yr-1. The correlation coefficient between GPP value from flux tower and GPP value from MODIS – VPRM showed in dry season, r = 0.766 and in rainy season, r = 0,839.
Land Cover Change Detection Using Landsat Data in Giao Thuy District, Nam Dinh Province, Vietnam Nguyen Tuyet Lan; Takahiro Osawa; I Wayan Nuarsa; Ngo The An
International Journal of Environment and Geosciences Vol 1 No 1 (2017)
Publisher : Graduate Study of Environmental Sciences, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/ijeg.2017.v01.i01.p03

Abstract

Giao Thuy located a coastal area, which has fully the characteristed of microclimate Red River delta. This study was conducted to detect the land cover changes from 2000 to 2015 and the causes. The changes are evaluated using Landsat data by method of land use classification combined with interviews. The results showed that most portion of the land cover class was crops land and land cover change was crops land decreases, forest land rises, aquaculture ponds increase, surface water reduces and unuse flat land area increases. The causes were policy issuses, market, economic, salinity intrusion, climate change and deposits alluvial.
Land Subsidence Monitoring From ALOS/PALSAR Data By Using D-InSAR Technique In Semarang City, Indonesia I Nyoman Sudi Parwata; Kakuji Ogawara; Tasuku Tanaka; Takahiro Osawa
International Journal of Environment and Geosciences Vol 3 No 1 (2019)
Publisher : Graduate Study of Environmental Sciences, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/ijeg.2019.v03.i01.p01

Abstract

This research was focused to estimate land subsidence in Semarang City by using DInSAR Method during 2007-2010 which is based on ALOS-PALSAR data. Three pair of SAR images were processed to detect land subsidence during 2007-2010. On the other hand, three pairs of SAR images (with small perpendicular baseline and very short interval time observation) were processed to generate Digital Elevation model (DEM). This DEM used to remove topographic phase in DInSAR processing. The land subsidence in Semarang City mostly appears in Northern area (main city), with maximum subsidence value which is derived by using DInSAR Method is about -4.8 cm/year (2007-2008), -8.1 cm/year (2008-2009), and -9.9 cm/year (2009-2010). The average is 7.6 cm/year (2007-2010). The subsidence result by using DInSAR technique was compared with GPS data which was available during 2008-2011. The coefficient determination between DInSAR and GPS method is about 0.65 for 2008-2010. Its mean DInSAR method has a good accuracy and reliable to use for land subsidence monitoring in wide area. The main causes land subsidence in Semarang City is probably due to load of building structure and over extraction of ground water. The number of registered drilled wills increased rapidly during early 1990s especially is industrial areas. The total drilled wells are 1050 units in 2000s.
Coral Reef and Shallow Water Benthic Identification Using Landsat 7 ETM+ Satellite Data in Nusa Penida District Arief Reza Fahlevi; Takahiro Osawa; I Wayan Arthana
International Journal of Environment and Geosciences Vol 2 No 1 (2018)
Publisher : Graduate Study of Environmental Sciences, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/ijeg.2018.v02.i01.p03

Abstract

This study aims to investigate the feasibility of Landsat 7 ETM+ to identify coral reefs and shallow water benthic at Nusa Penida district in 2009 and 2012, comparison with the Reef Health Monitoring (RHM) results conducted by the Coral Triangle Center (CTC) using the Point Intercept Transect (PIT) method in the same periods. This study also aims to determine the changes of coral reefs and shallow water benthic cover during this period and the distribution at Nusa Penida districk. Shallow water benthic classification refers to English et al. (1997), with a modified by the addition of vegetation classes (seagrass and seaweed). The classification result using confusion matrix between the Reef Health Monitoring (RHM) with the classification of satellite image in 2009 obtained an accuracy rate of 65.85% with a kappa coefficient value of 0.525, while in 2012 the accuracy value obtained of 74.81% with kappa coefficient value of 0.650, which shows the results of that classification of satellite images of Landsat 7 ETM+ with the results of in-situ research is in a moderate level.
Extraction of Tsunami Damaged Areas Due to the 2010 Chile Earthquake Using Optical and SAR Data of ALOS Ni Made Pertiwi Jaya; Fusanori Miura
International Journal of Environment and Geosciences Vol 2 No 2 (2018)
Publisher : Graduate Study of Environmental Sciences, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/ijeg.2018.v02.i02.p02

Abstract

Information about damage areas is important due to the large-scale disasters worldwide. In the last decade, both optical and SAR remote sensing were applied in many disaster researches, such as tsunami damage detection. In this study, the ALOS AVNIR-2 and PALSAR images are used to extract the damaged areas caused by the 2010 Chile earthquake. In the processing of ALOS/AVNIR-2, the inundation area was estimated based on the NDVI calculation and classification. Furthermore, damaged areas of the ALOS/PALSAR are extracted by integrating the AVNIR-2 image for water mask and the DEM image for elevation mask. The damaged area result of AVNIR-2 is 8.91 Km2 and for the PALSAR is 8.72 Km2 that is along the coastal areas. The image results showed a good agreement and corresponding area according to the institutional map of the inundation area. Future study in another area is needed in order to strengthen the processing method.
Remote Sensing and GIS Approach for Landslide Susceptibility Mapping: A Case Study in Hofu City, Yamaguchi, Japan Benita Nathania; Fusanori Muira
International Journal of Environment and Geosciences Vol 1 No 1 (2017)
Publisher : Graduate Study of Environmental Sciences, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/ijeg.2017.v01.i01.p04

Abstract

Landslide is one of the natural hazards that often initiates by the interaction between environmental factors and triggering factor. The identi?cation of areas where landslides are likely to occur is important for the reduction of potential damage. This study utilizes remote sensing data and Geographic Information System (GIS) to identify areas where landslides are likely to occur and generates landslide susceptibility map based on logistic regression model. The study area is located in Hofu city, Yamaguchi prefecture, Japan. The data that were used in this study are satellite imagery from ALOS AVNIR-2, elevation and geology data from GSI, Rainfall data from AMEDAS, and landslide inventory map provided from Ministry of Land, Infrastructure, Transportation and Tourism. The result from this study revealed that elevation from > 50 to < 350 m, slope angle from> 5° to < 50°, slope direction of north and northeast, land cover of agriculture, urban, bare soil, and forest, and lithology of graniodorite, fan deposits, and middle terrace are favorable for landslide occurrence. The landslide susceptiility map showed that 98% of the result calculations of logistic regression are similar to the historical data of landslide event which is among 911 landslide points, 899 points were existed in high and very high susceptibility areas.

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