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All Journal Indonesian Journal of Geography Komunikasi Fisika Indonesia Sinergi Journal of Applied Geospatial Information JOURNAL OF MECHANICAL ENGINEERING, MANUFACTURES, MATERIALS AND ENERGY MAJALAH ILMIAH GLOBE Jurnal Geografi, Edukasi dan Lingkungan Media Mahardhika Jurnal Kreativitas PKM International Journal of Remote Sensing and Earth Sciences (IJReSES) Indonesian Physical Review DIFFRACTION: Journal for Physics Education and Applied Physics Jurnal Teras Fisika : Teori, Modeling, dan Aplikasi Fisika Jurnal Penelitian Fisika dan Terapannya (JUPITER) Journal of Computer Science and Engineering (JCSE) Jurnal Ilmiah Matematika Mitra Akademia: Jurnal Pengabdian Masyarakat Indexia Jurnal Energi Baru dan Terbarukan Jurnal Aplikasi Bisnis Kesatuan GEOGRAPHIA: Jurnal Pendidikan dan Penelitian Geografi Jurnal Kolaboratif Sains Jurnal Riset Statistika Newton-Maxwell Journal of Physics Jagratara: Journal of Disaster Research The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Yahya Darmawan
Indonesian Agency For Meteorological, Climatological And Geophys-ics (BMKG) Region I
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Journal : MAJALAH ILMIAH GLOBE

 1 
DETECTION THE VEGETATION CHANGES USING MODIS SATELLITE BASED ON THE CHOICE OF VEGETATION INDICES AND LAND COVER TYPES Darmawan, Yahya
MAJALAH ILMIAH GLOBE Vol 17, No 1 (2015)
Publisher : Badan Informasi Geospasial

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (732.152 KB) | DOI: 10.24895/MIG.2015.17-1.212

Abstract

Nowadays, Breaks for Additive Seasonal and Trend (BFAST) method based on time series of Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data is increasingly used to monitor the temporal dynamics of vegetation changes. Nevertheless, sensitivity of the BFAST method for detecting the vegetation cover changes based on the choice of vegetation indices and land cover types has not been widely investigated. Breaks for Additive Seasonal and Trend (BFAST) method has applied to MODIS 16-day Enhance Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI) composites images (2000-2014) of three land cover types (Urban and Built-Up, Evergreen Broadleaf Forest and Savannah) within Australia. Overall, the number and time of changes detected in the three land cover types differed with both time series data because of the data quality due to the cloud cover. As conclusion, the EVI is more sensitive than NDVI for detecting the seasonal and abrupt changes for the land cover which has the dense vegetation and large canopy background such as evergreen broadleaf forest. Furthermore, NDVI is more reliable to detect the seasonal and abrupt changes that occurred in land cover types which have sparse vegetation such as urban, built-up area and savannah.Keywords: Additive Model, BFAST, EVI, NDVI, MODISABSTRAKSaat ini, Metode Breaks for Additive Seasonal and Trend (BFAST) berdasarkan data satelit Moderate Resolution Imaging Spectroradiometer (MODIS) telah banyak diaplikasikan untuk melakukan monitoring terhadap perubahan dinamis dari tutupan vegetasi. Namun, sensitifitas BFAST untuk mendeteksi perubahan vegetasi berdasarkan pilihan indeks vegetasi dan jenis tutupan lahan yang berbeda belum banyak dilakukan. Metode Breaks for Additive Seasonal and Trend (BFAST) telah diaplikasikan dengan menggunakan data Enhanced Vegetation Index (EVI) dan Normalized Difference Vegetation Index (NDVI) dari satelit MODIS 16-harian terhadap tiga jenis tutupan lahan (perkotaan dan lahan terbangun, hutan berdaun lebar dan padang rumput) di wilayah Australia untuk periode data tahun 2000 - 2014. Secara umum, hasil deteksi metode BFAST berbeda untuk setiap tutupan lahan baik dari segi jumlah dan waktu yang dipengaruhi oleh kualitas data karena adanya tutupan awan di lokasi penelitian. Dapat disimpulkan bahwa EVI lebih sensitif digunakan dalam mendeteksi adanya perubahan musiman dan mendadak pada tutupan lahan dengan vegetasi yang rapat dan berkanopi lebar seperti hutan tropis. Sedangkan NDVI lebih sensitif digunakan untuk mendeteksi komponen musiman dan perubahan mendadak terutama untuk tutupan lahan yang memiliki vegetasi jarang seperti perkotaan, lahan terbangun dan padang rumput.Kata kunci: Additive Model, BFAST, EVI, NDVI, MODIS
Co-Authors Afriyanti Agung Perdian Sulistio Akbar, Ahmad Aldizar Al Badri, Abdul Aziz Amanu, Rendy Syahril Amri, Sayful Anggraini, Eca Indah Aplena Elen S. Bless Ardhana, Andini Aprilia Arief Wibowo Arief, Syachrul Arifianto, Fendy Arkananta, Muhammad Zaky Armadyaputri, Aludra Nadia Bambang Giyanto Benyamin Heryanto Rusanto Carundyatama, Daniar Ihza Dahsan, Sudarti Deni Septiadi Dhaifullah Rafif Aslam Erna Frida Fadhli Aslama Afghani Fadllillah, Ahmad Arif Zulfan Ferdiansyah, Ervan Ferdiyansyah, Ervan Franchitika, Rizky Giananti, Attiya Shakila Habibi, Naufal Ilham Hayatul Khairul Rahmat Hibatullah, Khindi Aufa Ikhsanudin, Agus Haryanto Imawan Mashuri Karyono Karyono Kusumayanti, Diah Lumbantoruan, Alva Josia Manik, Willy Bonanja Manullang, Safri Emanuel Manurung, Ellya Veronika Iriani Manurung, Royston Marhaposan Situmorang, Marhaposan Muhamad Arif Jumansa Muhammad Labieb Muzakkie Muhammad Zaky Arkananta Mulya, Aditya Munawar Munawar Nardi, Nardi Nisa, Ania Maulidiah Nurdin, Fachdy Nuzula Elfa Rahma Oktabrian, Krisna Dwi Parwati Sofan Rahma, Nuzula Elfa Ramadoni Khirtin Restianto, Mohammad Obie Rista Hernandi Virgianto Rizki Ramadani Sabrina, Purwanti Lelly Samen Baan Sanjaya, Kadek Valerina Kitana Saputra, Ahmad Irsyad Saragih, Immanuel Jhonson A. Sudarisman, Maman Supriyadi, Asep Adang Syahrul Humaidi, Syahrul Tambunan, Nensy Nindy Tanggahma, Yuan Zalfa Trianasari, Maria Evy Tulus Ikhsan Nasution Veanti, Desak Putu Okta Vidia, Trimawarti Esti Wandono, Wandono Weman Suardy Wibowo, Shindyko Widodo , Anton Widodo Widodo