Pemanfaatan Citra Landsat 8 Menggunakan Normalized Difference Vegetation Index (NDVI) untuk Mengetahui Kawasan RTH di Kota Padang, Sumatera Barat

Muhammad Wasith Harist, Iqbal Putut Ash Shidiq

Research output: Contribution to conferencePaperpeer-review

Abstract

Padang City is the capital of West Sumatra Province which is located on the west coast of Sumatra island. Nowadays, big cities like Padang City are demanding to have Green Open Space (RTH), which based on UU Number 26, 2007 on spatial arrangement requires RTH in an urban area at least 30 percent from urban areas. With the RTH will be very beneficial for the life of the citizens of the city, such as the availability of clean air. Along with the development of technology in Multispectral Remote Sensing, it can be known for the existing RTH in a city, whether it is ideal or not through the density of vegetation by using the science of Remote Sensing utilizing Satellite Imagery is Landsat 8 as the data in this study. The method used in this study is Landsat 8 Image interpretation by calculating the index of vegetation density or NDVI obtained by the calculation of near infrared with red reflected by the plant. Classification of five classes of green cover on NDVI processed, IE non-green cover, rare, moderate, tight, and very tight. Results obtained from image data processing in the form of percentage of vegetation density in Padang City is varied in every classification and dominated by green cover with moderate class that is equal to ± 40 percent. From the existing results can describe the area of RTH in the city of Padang whether it is ideal or not and can be taken further action for the local government.
Original languageIndonesian
Publication statusPublished - 2018
EventSeminar Nasional GEOTIK tahun 2018 - ID, Surakarta, Indonesia
Duration: 1 Jan 2018 → …

Conference

ConferenceSeminar Nasional GEOTIK tahun 2018
CountryIndonesia
CitySurakarta
Period1/01/18 → …

Keywords

  • Multispectral Remote Sensing, Landsat Image 8, Green Open Space, NDVI.

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