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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 22 Documents
 1   2   3 
Forest and Industrial Plantation Mapping with Multi-Temporal Dual Polarization by ALOS PALSAR Data In Riau Province Elis Molidena; Takahiro Osawa; Putu Gede Ardhana; Abd. Rahman As-syakur
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.p04

Abstract

Backscattering characteristics of land use has been analyzed using ALOS PALSAR data. The purpose of this research are mapping of land use by five categories such as forest, acacia, oil palm, open area and water, and to identify the changes of environmental. Analysis Pixel-by-pixel average of ALOS PALSAR level 1.5 backscattering used from five of category land use was to estimate the spectral characteristic of each object in difference HH and HV polarization. Ground truth data was taken from 169 locations which used for classification, 119 locations and 50 locations used for validation. Two different times of ALOS PALSAR level 1.0 2009 and 2010 data, was used for changes detection by multi temporal color composite combination. The accuracy result for classification map shows 62% of ground truth database, and multi temporal analysis showed the possibility of changes.
Study Of Albacore Tuna (Thunnus alalunga) Abundance Using Regional Ocean Modeling System (ROMS) Data In Indian Ocean Dian Novianto; Takahiro Osawa; I Wayan Nuarsa
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.p03

Abstract

First, we analysed alabcore catch data based on time, positions, and layer alabcore caught and ROMS result data monthly climatology data for temperature, salinity. current velocity, and sea surface height for 2005–2008. Then, we analyzed the relationship between catch data and ROMS data by combining the statistical method of regression trogh origin (RTO) and geographic information system (GIS). Three model RTO were generated with the abundance of albacore tuna as a response variable, and temperature, salinity. current velocity, and sea surface height as predictor variables. All of the predictors of temperature, salinity. current velocity, and sea surface height were highly significant (P < 0.001) to the number of albacore tuna. Values of temperature, salinity. current velocity, and sea surface height in albacore tuna preferences ranged from 220 to 230 C, 34.79 to 34.84 Psu, 0.01 to 0.03 m/s and 0.66 to 0.70 m, respectively. Validation of the predicted number ofalbacore tuna with the observed value was significant (P < 0.05, r2 = 0.60). sea surface height was the most important environmental variable to the number of albacore tuna caught, followed by temperature, salinity and current velocity.
Application of GSMaP Product and Rain Gauge Data for Monitoring Rainfall Condition of Flood Events in Indonesia Nyoman Sugiartha; Kakuji Ogawara; Tasuku Tanaka; Made Sudiana Mahendra
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.p05

Abstract

Rainfall is one of main causes of floods. Monitoring of the rainfall is essential for understanding flood mechanism and early warning. Ground-based rain gauge is a conventional device to measure rainfall amount and considered as a point measurement. Satellite-based rainfall estimates provides complement measurement over wide area having few or even no in situ data. This study evaluates rainfall intensity variation and patterns preceding flood events in Indonesia for the period of 2003-2010 using the GSMaP_MVK satellite-based rainfall product with one hour and 0.1o x 0.1o resolutions and rain gauge station data as a benchmark. The analysed data are 3-hourly average and daily accumulation time steps. The chosen research locations were Medan City, Pekanbaru City, Indragiri Hulu Regency, Samarinda City and Manado City. Graphical comparisons of the GSMaP_MVK with the rain gauge data show discrepancies in capturing rainfall events and intensity. The GSMaP_MVK performs underestimation for the most areas, except Samarinda City, which is overestimated. Short-term period rainfall pattern is the most frequent occurred preceding flood events for the entire study areas which indicate that the areas are more susceptible to flash floods and river overflows. Overall, the GSMaP_MVK product provides promising potentiality for the application of monitoring rainfall conditions preceding flood events over the research locations. Statistical verifications reveal that on average, correlation coefficients are (0.22-0.54) and (0.65-0.83) for 3-hourly and daily scale, respectively. While, probability of rain detections (PODs) are (0.57-0.75) and (0.93-0.99), accordingly.
Characteristics of Diurnal Rainfall Cycle Over Java as seen by the TRMM Precipitation Radar I Dewa Gede Agung Pandawana; Tasuku Tanaka; Takahiro Osawa; Abd. Rahman As-syakur; Made Sudiana Mahendra
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.p03

Abstract

Precipitation is one element of climate that mostly studied in Indonesia because it has a very high diversity both temporal (time) as well as spatial (place). The diurnal cycle is one of the important factors in the occurrence of rain in the islands of Indonesia that have an impact on regional rainfall patterns in Indonesia. The diurnal cycle of precipitation is an essential component of the tropical climate and one of the predominant components of atmospheric variations. The aims of this research were to determine and analyze the spatial patterns and the characteristics of rainfall diurnal cycle in Java Island and the surrounding areas (Java Island, Java Sea and Indian Ocean) using remote sensing data. In this study, data from Tropical Rainfall Measuring Mission satellite (TRMM) Precipitation Radar level 2A25 and wind data from National Centers for Environmental Prediction (NCEP) for 5 years period from 2007 to 2011 are used. The results of this research are the spatial patterns of daily rainfall in Java Island and the surrounding areas are different between land and sea. In the land, rain generally occur in the afternoon (12.00 to 18.00 LT), whereas in the ocean (the Java Sea and Indian Ocean) generally occur at midnight and noon (00.00 to 12.00 LT). The characteristics of rainfall diurnal cycle in Java Island and the surrounding areas are effected by land-sea physical properties, day-night cycle and by land-sea location.
Mapping of Soil Fertility Using Landsat Data in Lautém District, Timor-Leste Romaldo Da Costa Ximenes; Takahiro Osawa; I Wayan Nuarsa
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.p05

Abstract

A single paragraph of about 250 words maximum. For research articles, abstracts should give a pertinent overview of the work. We strongly encourage authors to use the following style of structured abstracts, but without headings: 1) Background: Place the question addressed in a broad context and highlight the purpose of the study; 2) Methods: Describe briefly the main methods or treatments applied; 3) Results: Summarize the article's main findings; and 4) Conclusion: Indicate the main conclusions or interpretations. The abstract should be an objective representation of the article, it must not contain results which are not presented and substantiated in the main text and should not exaggerate the main conclusions.
Multi-temporal Analysis for Differential Interferometry Synthetic Aperture Radar (D-InSAR) and Its Application to Monitoring Land Surface Displcements Putu Edi Yastika; Norikazu Shimizu; Tasuku Tanaka; Takahiro Osawa
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.p01

Abstract

Land subsidence rate in Semarang has been observed by D-InSAR technique based on ALOS-PALSAR data on ascending orbits, which is processed by GMTSAR and ArcGIS software. Two kind of methods namely single D-InSAR and Multi-Temporal D-InSAR has been done. By employing SRTM3 and ASTER1 DEM data to remove the topography component, total 67 pairs of inteferogram has generated. Northeast area and shoreline area has largest subsidence about 20-32 cm for 4 years or average rate 5-8 cm/year. Since the northwest area and center area has lower subsidence rate and even no remarkable subsidence occurred, this area seems to be stable comparing the northeast area. Removing the topography component phase to get displacement phase from the phase interferogram by using SRTM3 DEM and ASTER1 DEM data respectively, the both results coincided with 0.995 correlation value. The coherence threshold is an important factor to get better accuracy, but if setting the threshold too high, the process of interference will be failed and not be able to obtain the results in a lot of area. The perpendicular baseline and the temporal baseline (time period) is an important factor to determining the coherence threshold. By using many scenes the Multi-Temporal D-InSAR was applied, and by selecting good pairs of the interferograms, accuracy of the results will be improved. The correlation value for GPS data eventually increased from 0.63 to 0.77.
Study of Land Use Change from 1997 To 2014 Using Landsat Data In Bangli Regency Nuranita Naningsi; Takahiro Osawa; I Nyoman Merit
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.p04

Abstract

Bangli Regency is one of Regency in the Bali Province. The total area of Bangli Regency is 52,081 hectares (9.24%) of total area of Bali Province (563,666 ha). The Growth and the development of the region Bangli Regency the positive impacts on the economy of the community, and the negative impacts on the environment. Land use change is one of the negative issue of development Bangli Regency. This study conduted the calculation of land use change from 1997 to 2014 using Landsat data in Bangli Regency. Landsat 5 TM, Landsat 7 ETM+ and Landsat 8 OLI/TIRS imageries were used to determine the land use map based, on using supervised classification method. The field data set the nine classes were classtuded based, on the classification were fresh water, bare land, forest, residential, bushes, irrigated paddy field, non irrigated paddy field, dry land and plantation. There results showed in land use changes from 1997 to 2014 that plantation increased (19,486.33 ha (36.89%)), and residential increased (1,872.00 ha (3.47%)), there is also a vast to reduction in dry land (-10,868.90 ha (-21.21%)), forest (-6,333.34 ha (-12.24%)), irrigated paddy field (-1,619.50 ha (-3.17%)), bushes (-1,637.30 ha (-3.27%)), bare land (-63.00 ha (-0.17%)), non irrigated paddy field (-113.59 ha ( -0.26%)) and fresh water (-2.70 ha (-0.05%). The results accuracy rate was 89.45%. Anslyse of land use showed that the significant decrease of plantation area in Bangli Regency hill due to rapid development of infrastrusture of tourism and extensive residential area has increased particularly in sub district of the Kintamani District.
Estimation of Green Land to Urban Change Based on Cellular Automata (CA) Method in Singaraja City and its Surrounding Areas Nyoman Arto Suprapto; Takahiro Osawa; I Dewa Nyoman Nurweda Putra
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.p01

Abstract

Singaraja city is the second largest city in Bali which have a fairly rapid growth. Growth and development of the region in urban areas of Singaraja give the positive impact on the economy of the community but also give the negative impact on the environment. Land use change and land conversion into one of the negative issues of the development of urban areas in Singaraja. This study intends to calculate the amount of land conversion occur on the green land into urban areas within 14 years (2001-2015) and predict land use change in 2020 and 2025 in Singaraja City and Its Sorrounding Areas. Landsat 7 and Landsat 8 imageries were used to determine the land use map. Land use map obtained through the process of image classification using supervised method then verified using data field. Land use maps in 2015 and 2001 used to obtain the amount of change of urban areas and green land during the period of 14 years. This results show increasing amount of urban areas as 11,37% (3.153,74 ha) whereas green land decreased by 11,17% (3.097,68 ha). Land use change was predicted by Markov method. The projection results show the amount of urban areas in 2020 was 27,40% (7.598,45 ha) and 35,97% (9.974,55 ha) in 2025. The results obtained with this prediction accuracy rate of 0.91.
Evaluation of GSMaP Precipitation Estimates Over Indonesia Agit Setiyoko; Takahiro Osawa; I Wayan Nuarsa
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.p04

Abstract

Generally, observation of the rainfall in Indonesia are still conventionally using rain gauge over Indonesian region. The rain gauge network are still the most reliable source over Indonesia, however this network is not as dense as in the other major continents. The aim of this research were validation and evaluate the annual rainfall periodicity and to obtain the correction factor of the GSMaP rainfall estimation data in Indonesia. Data used in this research are daily rainfall derived from GSMaP_MVK Ver.5 and in-situ data from rain gauge measurement by BMKG from March 2000 to November 2010. The validation showed that the satellite estimate gave an underestimated condition in all of three dominant rainfall characteristics region in Indonesia. The pattern of monthly rainfall time series average based on 40 stations from March 2000 – November 2010 showed quite similar than rain gauge pattern. The relationships of monthly rainfall average showed very good agreement with rain gauge data giving very high correlation (r=0.82 – 0.92) MBE and RMSE was less than 100 mm/month. The result of spectral analysis using DFT also showed a good agreement with rain gauge spectral analysis data on monthly.
IJEG front cover, Vol 2(1), 2018 IJEG front cover, Vol 2(1), 2018
International Journal of Environment and Geosciences Vol 2 No 1 (2018)
Publisher : Graduate Study of Environmental Sciences, Postgraduate Program of Udayana University

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