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All Journal International Journal of Remote Sensing and Earth Sciences (IJReSES) Jurnal Penginderaan Jauh Indonesia
Fandi Dwi Julianto
Jurusan Teknik Geomatika, Fakultas Teknologi Mineral, Universitas Pembangunan Nasional “Veteran” Yogyakarta
Aerospace Engineering Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Engineering Environmental Science

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Analisis Perubahan Vegetasi dengan Data Sentinel-2 menggunakan Google Earth Engine Julianto, Fandi Dwi; Dwi Putri, Dinda Pratiwi; Safi’i, Hafizh Humam
Jurnal Penginderaan Jauh Indonesia Vol 2 No 2 (2020)
Publisher : Masyarakat Ahli Penginderaan Jauh Indonesia (MAPIN) /Indonesian Society of Remote Sensing (ISRS)

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Abstract

Analysis of Vegetation Change Using Sentinel-2 Data in Google Earth Engine (A Case Study of Yogyakarta Special Region Province The Special Region of Yogyakarta (DIY) has a rapid rate of change in vegetation land cover in line with an increase in population that can have an impact on the environment and ecosystem. Remote sensing is a useful technology in determining land cover. The technique can monitor changes in vegetation land regularly from time to time and with various scales. This study aims to determine the changes in vegetation in the Province of DIY with the vegetation index transformation method using the NVDI (Normalized Difference Vegetation Index) algorithm. Processing using Google Earth Engine, which is a cloud-based platform that makes it easy to monitor changes in vegetation quickly and accurately from year to year. The satellite imagery used was a medium resolution satellite image sentinel-2 level 2A and level 1C, which was corrected by atmospheric using SIAC algorithm. Processing results show an average decrease in NDVI values ​​from 2017-2020, with the highest average value in 2018 was 0.73, and the lowest in 2019 was 0.59. Vegetation change was dominated by dense vegetation class, which area turned into medium vegetation class.
SHORELINE CHANGES AFTER THE SUNDA STRAIT TSUNAMI ON THE COAST OF PANDEGLANG REGENCY, BANTEN Julianto, Fandi Dwi; Fathurohman, Cahya Rizki; Rahmawati, Salsabila Diyah; Ihsanudin, Taufiq
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 17, No 2 (2020)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2020.v17.a3390

Abstract

The Sunda Strait tsunami occurred on the coast of west Banten and South Lampung at 22nd December 2018, resulting in 437 deaths, with10 victims missing. The disaster had various impacts on the environment and ecosystem, with this area suffering the greatest effects from the disaster. The utilisation of remote sensing technology enables the monitoring of coastal areas in an effective and low-cost manner. Shoreline extraction using the Google Earth Engine, which is an open-source platform that facilitates the processing of a large number of data quickly. This study used Landsat-8 Surface Reflectance Tier 1 data that was geometrically and radiometrically corrected, with processing using the Modification of Normalized Difference Water Index (MNDWI) algorithm. The results show that 30.1% of the coastline in Pandeglang Regency occurred suffered abrasion, 20.2% suffered accretion,while 40.7% saw no change. The maximum abrasion of 130.2 meters occurred in the village of Tanjung Jaya. Moreover, the maximum shoreline accretion was 43.3 meters in the village of Panimbang Jaya. The average shorelinechange in Pandeglang Regencywas 3.9 meters.
Co-Authors Dinda Pratiwi Dwi Putri Fathurohman, Cahya Rizki Ihsanudin, Taufiq Safi’i, Hafizh Humam Salsabila Diyah Rahmawati