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All Journal Forest Science Warta Rimba AGRIVITA, Journal of Agricultural Science Bantenese Jurnal Pengabdian Masyarakat Advance Sustainable Science, Engineering and Technology (ASSET)
Akhbar Akhbar
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Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Education Electrical & Electronics Engineering Energy Materials Science & Nanotechnology Social Sciences

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APLIKASI MODEL AR4 PADA PEMETAAN JENIS PENGGUNAAN/TUTUPAN LAHAN MENGGUNAKAN CITRA LANDSAT 8 Akhbar, Akhbar; Arianingsih, Ida
ForestSains Vol 14, No 1 (2016): Desember
Publisher : Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (535.548 KB)

Abstract

The research aims to develop applications AR4 models as a new model in the extraction of the object area in the medium resolution Landsat 8 image in providing land mapping database for the purposes of planning, evaluation and monitoring of the type of use / land cover. Descriptive method was used to assess the value of the object land spectral on based spectral bands Landsat 8 image transformation results. Image transformation using AR4 models, namely a multiband image analysis model developed by Akhbar et.al., in 2013 using Landsat 7 ETM+ and SPOT 5 XS. Research is now put through trials on the AR4 models Landsat 8 image in the same location as a previous study, in the district (Sigi, Donggala, Parigi Moutong) and Palu City with an area of 99,141.12 hectares. Geographically, located at coordinates 119 ° 48 '39.67 "E - 120 ° 1' 2.99" E and 0 ° 42 '5.11" S - 1 ° 5' 15.76" S. Generated imagery Landsat 8 AR4 models with the conformity / suitability of land ≥90% between objects on the image of the transformation and the 50 sample sites tested in the field. So that the AR4 models image of Landsat 8 including the excellent category is used in mapping the type of use / land cover.
ANALISIS VEGETASI MANROVE MENGGUNAKAN (NDVI) PADA EKOSISTEM MANGGROVE DI KECAMATAN BALINGGI KABUPATEN PARIGI MOUTONG Setiawan, Andri; Akhbar, Akhbar; Arianingsih, Ida
ForestSains Vol 15, No 2 (2018): Juni
Publisher : Universitas Tadulako

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Abstract

This study aims to determine the area-level greenness of mangrove ecosystems in Balinggi Sub-district, Parigi Moutong Regency, Central Sulawesi, by using Landsat 8 image data. It is expected to provide information about the normalized difference Vegetation Index (NDVI) of each site that has been analyzed using GIS. The observation was conducted in June –August 2017. The research method used in this study was by assessing the mangrove density or the level of greenness using the vegetation index method through the NDVI formula, which is effective as an initial division of vegetation areas. The NDVI can be an indicator to measure green leaf biomass and leaf area index for the classification of vegetation. Based on the results of Landsat 8 image data of 2016, the total area of mangrove forest vegetation in Balinggi was 163.30 ha and can be classified into three classes of vegetation density, namely: low (26.46 ha), moderate (55.54 ha) and high (80.08 ha). Furthermore, based on the table of Landsat image classification, the low density class has “very good” land use accuracy with a value of 100% while the high and moderate density classes have “good” land use accuracy of 75% and 67%, respectively.
Co-Authors AA Sudharmawan, AA Abd. Rasyid Syamsuri Abdul Wahid Agung Dwi Kurniawan, Agung Dwi Amelia, Nur Rizky Andri Setiawan Army Mujiani Baharuddin, Rhamdhani Fitrah Bantali, Aprianti Bunga Elim Somba Gandari, Didin Golar Golar Hamka Hamka, Hamka Hasriani Muis Hulu, Amati Eltriman Ida Arianingsih Ifert Ehrlick Tudon Imran Rachman Kasmin, Moh Feisal Rizky Khairussidqih, Sayid Mangil, Wahyu Rizky S Mondo, Andro Jamal Muhammad Basir Mursalim Mursalim Naharuddin Naharuddin Nasanah Lamaligi, Michael Eras Rahmat Rahmat Rizki, Muhammad Arya Rusmiyati Rusmiyati, Rusmiyati S, Muardimansah Sagita, Merki Natasya Sanggur, Yusuf Godefrianus Sudirman Daeng Massiri Susianti, Siti Virginia Christina Possumah Vivaldy, Jordy Wahyu Sedjarawan Witno Witno