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All Journal Bulletin of Scientific Contribution : Geology Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian GEA, Jurnal Pendidikan Geografi Jurnal Geologi dan Sumberdaya Mineral (Journal of Geology and Mineral Resources) Buletin Sumber Daya Geologi Journal of Environmental Science and Sustainable Development Makara Journal of Technology
Puguh Dwi Raharjo
Balai Informasi dan Konservasi Kebumian Karangsambung, LIPI
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Materials Science & Nanotechnology Mechanical Engineering

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Journal : Makara Journal of Technology

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Remote Sensing and Geographical Information System to Identify Drought Potency Raharjo, Puguh Dwi
Makara Journal of Technology Vol. 14, No. 2
Publisher : UI Scholars Hub

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Remote Sensing and Geographical Information System to Identify Drought Potency. Kebumen regency was drought in year 2008, community clean water shortages and irrigation water following a decline in water resources. The use of remote sensing data and GIS can be used to identify the potential for drought-prone areas. Transformation of Landsat TM satellite imagery to obtain the brightness index, wetness index and vegetation index used to determine surface conditions in relation to drought. Brightness index and wetness index derived from the tasseled cap modifications, while the vegetation index derived from normalized difference vegetation index (NDVI) values. Other parameters such as aquifer conditions, rainfall and other types of dry agricultural land use was a factor in identifying drought. The data are performed in accordance with the zone description in order to get the study area in relation to regional drought. The result of the research is identified area the district of Karangsambung, Karanggayam, Sadang, Alian, Puring, Klirong, Buluspesantren, Ambal and Mirit potential drought.
The Knowledge-Based Analysis on Medium Resolution Images of Remote Sensing to Extraction Information Land use Type SCS-CN, the Case Study on Grompol Watershed Raharjo, Puguh Dwi; Gunawan, Totok; Hadi, Mohammad Pramono
Makara Journal of Technology Vol. 20, No. 2
Publisher : UI Scholars Hub

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Remote sensing imagery Landsat-8 is one image that has a good temporal resolution; in addition to the availability of data, this image can be obtained free of charge. Land cover type SCS-CN is part of a unit of land that affects runoff. The use of medium resolution imagery in reducing the SCS-CN land use type is considered relatively difficult, and it yields less good accuracy. Limitations on multispectral classification only rely on facts derived from spectral reflection, so that the two data are the same since different characteristic results are not so good. This study aims to determine the accuracy of precision medium-resolution imagery in reducing parameter land use type SCS-CN by using the knowledge-based analysis. The importance of understanding the landscape-ecology can be used to assist the translation from land cover in the form of land use. Vegetation factors and ecosystems are often used to generate metrics-based landscape. Accuracy from the interpretation of remote sensing image medium-resolution is obtained by 85.17%. Therefore, Landsat-8, in addition to easy retrieval of data, can also be used to identify the type of land cover SCS-CN, which is useful for the interests of surface water resources.
Co-Authors Chusni Ansori Edi Hidayat Eko Haryono Eko Puswanto, Eko Hadi, Mohammad Pramono Haryadi Permana Hermawan, Nandian Mareta Kristiawan Widiyanto, Kristiawan Setiawan, Muhammad Anggri Sueno Winduhutomo Totok Gunawan Wardhani, Fitriany Amalia Wardhani, Fitriany Amalia