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All Journal Bumi Lestari Ecotrophic, Journal of Environmental Science E-Jurnal Agroekoteknologi Tropika (Journal of Tropical Agroecotechnology) Journal of Environment Jurnal Sumberdaya Alam dan Lingkungan Jurnal Sains Teknologi dan Lingkungan (JSTL) International Journal of Remote Sensing and Earth Sciences (IJReSES) Jurnal Penelitian Budaya The International Journal of Remote Sensing and Earth Sciences (IJReSES)
I Wayan Sandi Adnyana
Program Studi Agroteknologi, Universitas Udayana Jalan Sudirman Denpasar, Bali
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Earth & Planetary Sciences Energy Environmental Science Languange, Linguistic, Communication & Media Public Health Social Sciences

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 1 
Validasi Nilai Erosivitas Hujan Dari Data Penginderaan Jauh TRMM 3B42 Di Bali Selatan I Wayan Sandi Adnyana; Abd. Rahman As-syakur
Bumi Lestari Journal of Environment Vol 16 No 1 (2016)
Publisher : Environmental Research Center (PPLH) of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/blje.2016.v16.i01.p10

Abstract

Rainfall erosivity is a measure for the erosive force of rainfall. Rainfall kinetic energydetermines the erosivity and is in turn greatly dependent on rainfall intensity. Research hasbeen conducted to validate monthly rainfall erosivity derived from the Tropical Rainfall MeasuringMission (TRMM) Multisatellite Precipitation Analysis(TMPA)3B43 version 7 usingraingauge data analysis from 2003 to 2012. Rain gauge located in the south Bali regions wereemployedto monitor erosivity value from two different methods that are base on Bols (1978)andAbdurachman(1989). Therelationship of erosivity and their other factor from TRMM3B43andrain gauge data statistical analysis measures consisted of the linear correlation coefficient,themean bias error (MBE), and the root mean square error (RMSE). Data validation wasconductedwith point-by-point analysis. The results of these analyses indicate that satellitedatahave lower values than the gauge estimation values. The point-by-point analysis indicatedsatellite data values of high to very high correlation, while values of MBE and RMSEtendedto indicate underestimations with high square errors. Moreover,monthly rainfall erosivityderived from TRMM give high correlation from both methods, with has high bias androot-mean-squareerror. In general, the data from TRMM3B43 version 7 are potentially usabletoreplace rain gauge data based on erosivity estimation, but after inconsistencies and errorsaretaken into account.
ANALISIS INDEKS VEGETASI MENGGUNAKAN CITRA ALOS/AVNIR-2 DAN SISTEM INFORMASI GEOGRAFI (SIG) UNTUK EVALUASI TATA RUANG KOTA DENPASAR A. Rahman As-syakur; I.W. Sandi Adnyana
Bumi Lestari Journal of Environment Vol 9 No 1 (2009)
Publisher : Environmental Research Center (PPLH) of Udayana University

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Abstract

High population density is the main factor in environmental problems, where the high speed of human growth caused the vegetation area became deminishing. The aims of this research was to functionized the ALOS/AVNIR-2 image satellites and GIS to calculate the percentage of vegetation in Denpasar city with three index vegetation formulas: NDVI, SAVI dan MSAVI in order to get one formula to build the distribution map based on the percentage of vegetation. This map was used to evaluate the urban planning map 2003 in Denpasar city. Result showed that there was relationships between vegetation index of ALOS/AVNIR-2 images and percentage of vegetations, where the vegetation index of NDVI and SAVI had the highest coefficient determination. The formula of “Percentage Vegetation = 132.71 (NDVI)2 + 3.461 (NDVI) + 5.6775” was used to generate the percentage distribution vegetation map. Based on that map, the dominant vegetation distribution found in settlement area (with percentage vegetation area) lower than 25%. The urban planning for green open area “KDB” 0% was dominated by the area which had a percentage of vegetation between 25-50% and 50-75%. In the other hand, the urban planning for “Tahura”, was dominated by the area which had a percentage of vegetation of more than 75%.
STUDI PERUBAHAN PENGGUNAAN LAHAN DI DAS BADUNG A.R. As-syakur; I.W. Suarna; I.W. Sandi Adnyana; I.W. Rusna; I.A. Alit Laksmiwati; I.W. Diara
Bumi Lestari Journal of Environment Vol 10 No 2 (2010)
Publisher : Environmental Research Center (PPLH) of Udayana University

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Abstract

Land use change in a watershed could affect the ecological system, hydrological system and water quality, meanwhile land use change study is needed to conduct especially in Badung watershed. The purpose of this research is to calculate land use changes from 1992 to 2008 and predicted hectarege of land use in 2015 and 2020. Methods of this research are comparing the four land use maps obtained from Bakosurtanal (1992 and 2000), Interpretation of Landsat ETM+ image (2003), and interpretation of ALOS/AVNIR-2 image (2008). On-screen method is used to ALOS/AVNIR-2 image data interpretation. The equation obtained from logarithmic regression is used to predict the land use area. The results of this research showed that the land use in Badung Watershed region has changes from 1992 to 2008. Settlement land use has the largest changes, where the area is increase. The speed of land use change of settlement reached 46,45 ha per year, while the ricefield land use reached 38,91 ha per year. Predicted settlement area in 2015 and 2020 is 2056,83 ha and 2108,83 ha, while the ricefield is 1386,79 ha and 1343,66 ha.
PEMETAAN DAERAH RAWAN KEKERINGAN DI BALI-NUSA TENGGARA DAN HUBUNGANNYA DENGAN ENSO 2) MENGGUNAKAN APLIKASI DATA PENGINDERAAN JAUH I Wayan Nuarsa; I Wayan Sandi Adnyana; Abd. Rahman As-syakur
Bumi Lestari Journal of Environment Vol 15 No 1 (2015)
Publisher : Environmental Research Center (PPLH) of Udayana University

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Abstract

In this study, the use of SPI (Standardized Precipitation Index) combined with remote sensingdata is performed to map vulnerable drought areas in Bali-Nusa Tenggara regions. Analysisalso carried out to find the relationship between Vulnerable drought areas in Bali-NusaTenggara with El Niño phenomena. Bali-Nusa Tenggara islands are a chain of islands thathas a semi-arid climate type and resulted vulnerable to meteorological drought. Therefore,mapping of vulnerable drought areas in the region necessary to be carried out. The spatialpattern of the annual average value of SPI-6 in Bali Nusa Tenggara areas in 1998-2010indicates the spatial distribution follows the ENSO events. It also indicated in the spatialpattern relationship between ENSO and SPI in Bali-Nusa Tenggara islands. This studyindicates that remote sensing data such as TRMM 3B43 has the capability to be used as adata source to analyze the spatial patterns of vulnerable drought areas, particularly in theBali-Nusa Tenggara Islands. In addition, the TRMM data also possible to be used as a datasource to analyze the vulnerable drought areas in other parts of Indonesia.
Co-Authors Abd. Rahman As-syakur Ariantana, Ketut Ayu Margaworo Pamungkas Ende Kasma Fajar Lukman Hakim FUMIHIKO NISHIO Fumihiko Nishio Fumihiko Nishio Gede Hendrawan I Gede Hendrawan I Gede Ketut Sri Budarsa I Gede Mahardika I Gusti Agung Lanang Widyantara I Gusti Bagus Sila Dharma I MADE SUDARMA I NYOMAN MERIT I NYOMAN RAI I Nyoman Sudipa I W BUDIARSA SUYASA I Wayan Arthana I Wayan Diara I Wayan Gede Eka Saputra I Wayan Nuarsa I Wayan Nuarsa I Wayan Nuarsa I Wayan Suarna I Wayan Suarsana I.P.G. Ardhana I.W. Diara I.W. Rusna Ida Ayu Alit Laksmiwati Ida Bagus Gde Pujaastawa Ida Bagus Ketut Gede Kertia IGA Indah Mahasani Josaphat Tetuko Sri Sumantyo Josaphat Tetuko Sri Sumantyo K.G. Darma Susila Kastini Adiputri, Ni Made ketut asrini M. Sudiana Mahendra Made Arya Bhaskara Putra Made Sudiana Mahendra, Made NI KOMANG RINI RATNA DEWI Ni Luh Made Ari Sugianthi Ni Made Ayu Ratna Sari Ni Wayan Suprianingsih Niken Gustantia Nikita Ribka Kawung Nilda Nilda Putu Wira Utama R. PRASETIA risya lailarahma Sulastri Sulastri Supardiono Supardiono SUSUMU KANNO T. Osawa Takahiro Osawa Takahiro Osawa Takahiro Osawa Takahiro Osawa Takahiro Osawa Takahiro Osawa Ujang Rija Ginanjar YASUHIRO SUGIMORI