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All Journal MAJALAH ILMIAH GLOBE International Journal of Remote Sensing and Earth Sciences (IJReSES) Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital
Hana Listi Fitriana, Hana Listi
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering

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KARAKTERISTIK POLA SPEKTRAL PADA LAHAN TAMBANG TIMAH BERBASIS CITRA Haryani, Nanik Suryo; Fitriana, Hana Listi; Effendy, Iskandar
MAJALAH ILMIAH GLOBE Vol 21, No 1 (2019)
Publisher : Badan Informasi Geospasial

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1215.242 KB) | DOI: 10.24895/MIG.2019.21-1.846

Abstract

Obyek yang berada di permukaan bumi mempunyai nilai spektral yang berbeda, sehingga setiap obyek yang terekam dalam citra satelit pada setiap panjang gelombang elektromagnetik akan mempunyai nilai spektral yang berbeda pula. Permasalahan yang muncul pada lahan bekas tambang ini adanya lahan terbuka yang secara visual terlihat adanya beraneka ragam kenampakan. Kondisi ini menarik untuk dilakukan penelitian masalah karakteristik spektral pada obyek tersebut. Penelitian ini bertujuan untuk menganalisis karakteristik spektral pada lahan bekas tambang. Metode yang digunakan dalam penelitian ini dengan menggunakan data citra Landsat tahun 2005, 2010, dan 2015, dengan mengkonversi nilai digital menjadi nilai reflektansi, selanjutnya melakukan konversi ke spektral radiansi Top of Atmosphere (ToA), konversi ke reflektansi ToA, dan konversi spektral radiansi ke temperatur kecerahan. Karakteristik pola spektral pada lahan bekas tambang yang dihasilkan berdasarkan reflektansi yang diperoleh dari citra tersebut. Hasil karakteristik pola spektral yang diteliti dari obyek pada lahan bekas tambang yang dikelaskan menjadi 4 kelas yaitu daerah terbuka secara visual berwarna abu-abu, putih terang, coklat dan kolong (bekas lahan tambang berbentuk cekung yang terisi air) yang secara visual berwarna biru. Perbedaan spektral yang terlihat jelas adalah pola spektral pada band 1, band 2, dan band 5, sedangkan band 3 dan band 4 mempunyai pola yang hampir sama. Korelasi antara nilai spektral hasil pengolahan citra terhadap nilai spektral hasil pengukuran di lapangan pada lahan terbuka bekas tambang timah mempunyai nilai korelasi terbesar pada obyek timah coklat dengan nilai korelasi sebesar 83,70%, sedangkan nilai korelasi terkecil pada obyek kolong dengan nilai korelasi sebesar 67,90%.
MAPPING BURNT AREAS USING THE SEMI-AUTOMATIC OBJECT-BASED IMAGE ANALYSIS METHOD Fitriana, Hana Listi; Suwarsono, Suwarsono; Kusratmoko, Eko; Supriatna, Supriatna
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 17, No 1 (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.a3281

Abstract

Forest and land fires in Indonesia take place almost every year, particularly in the dry season and in Sumatra and Kalimantan. Such fires damage the ecosystem, and lower the quality of life of the community, especially in health, social and economic terms. To establish the location of forest and land fires, it is necessary to identify and analyse burnt areas. Information on these is necessary to determine the environmental damage caused, the impact on the environment, the carbon emissions produced, and the rehabilitation process needed. Identification methods of burnt land was made both visually and digitally by utilising satellite remote sensing data technology. Such data were chosen because they can identify objects quickly and precisely. Landsat 8 image data have many advantages: they can be easily obtained, the archives are long and they are visible to thermal wavelengths. By using a combination of visible, infrared and thermal channels through the semi-automatic object-based image analysis (OBIA) approach, the study aims to identify burnt areas in the geographical area of Indonesia. The research concludes that the semi-automatic OBIA approach based on the red, infrared and thermal spectral bands is a reliable and fast method for identifying burnt areas in regions of Sumatra and Kalimantan.
DETECTING THE SURFACE WATER AREA IN CIRATA DAM UPSTREAM CITARUM USING A WATER INDEX FROM SENTINEL-2 Suwarsono, Suwarsono; Yulianto, Fajar; Fitriana, Hana Listi; Nugroho, Udhi Catur; Sukowati, Kusumaning Ayu Dyah; Khomarudin, Muhammad Rokhis
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 17, No 1 (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.a3286

Abstract

This paper describes the detection of the surface water area in Cirata dam,  upstream Citarum, using a water index derived from Sentinel-2. MSI Level 1C (MSIL1C) data from 16 November 2018 were extracted into a water index such as the NDWI (Normalized Difference Water Index) model of Gao (1996), McFeeters (1996), Roger and Kearney (2004), and Xu (2006). Water index were analyzed based on the presence of several objects (water, vegetation, soil, and built-up). The research resulted in the ability of each water index to separate water and non-water objects. The results conclude that the NDWI of McFeeters (1996) derived from Sentinel-2 MSI showed the best results in detecting the surface water area of the reservoir.
KLASIFIKASI DAERAH TERCEMAR LIMBAH ACID SLUDGE MENGGUNAKAN METODE SPECTRAL MIXTURE ANALYSIS BERBASIS DATA LANDSAT 8 Haryani, Nanik Suryo; Sulma, Sayidah; Pasaribu, Junita Monika; Fitriana, Hana Listi
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 12 No. 1 (2015)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v12i1.3307

Abstract

The existence waste materials in an area potentially triggers the contamination, and in turns will damages the environment particularly in the vicinity of waste disposal location. This research is aimed to analyze the acid sludge waste contaminated area using the remote sensing satellite Landsat 8. The applied methodology for analyzing the spectral of contaminated area is using spectral mixture analysis method. The result shows that the spectral analysis using this method with spectral reference based on endmember images convey the better output. This is caused by the availability of the SWIR wave length in Landsat 8. The SWIR wave length is sensitive against a highly contaminated substance like as sand and sludge, and contributes to non land contaminated substance like vegetation. Further the index classification based on images endmember shows the result which matching better to the field condition. Based on accuracy review, the result shows the classification accuracy based on this index as 62.5 %.
PERBANDINGAN HASIL KLASIFIKASI LIMBAH LUMPUR ASAM DENGAN METODE SPECTRAL ANGLE MAPPER DAN SPECTRAL MIXTURE ANALYSIS BERDASARKAN CITA LANDSAT - 8 Sulma, Sayidah; Pasaribu, Junita Monika; Fitriana, Hana Listi; Haryani, Nanik Suryo
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 12 No. 2 (2015)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v12i2.3311

Abstract

The utilization of remote sensing data is an alternative way that could be used for rapid detection of large coverage hazardous waste area. This study aims to classify the acid sludge contaminated area using Landsat 8 by applying Spectral Angle Mapper (SAM) classification method with two spectral reference sources, namely field spectral measurement using a spectrometer and endmember spectral from the image, and then compare the classification results. The accuracy level of SAM classification result showed that classification using endmember spectral from the image as the reference spectral reached 66.7%, whereas classification using field spectral measurement as spectral reference only reached 33.3%. The Spectral Mixture Analysis (SMA) classification result showed that classification using endmember spectral from the image as the reference spectral reached 62.5%. The affecting factors for the low accuracy is the significant differences of the spectral profiles obtained from spectrometer with spectral Landsat-8 due to differences of spatial and altitude measurements.
PERBANDINGAN HASIL KLASIFIKASI LIMBAH LUMPUR ASAM DENGAN METODE SPECTRAL ANGLE MAPPER DAN SPECTRAL MIXTURE ANALYSIS BERDASARKAN CITRA LANDSAT - 8 Sulma, Sayidah; Pasaribu, Junita Monika; Fitriana, Hana Listi; Haryani, Nanik Suryo
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 13 No. 1 (2016)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v13i1.3318

Abstract

The utilization of remote sensing data is an alternative way that could be used for rapid detection of large coverage hazardous waste area. This study aims to classify the acid sludge contaminated area using Landsat 8 by applying Spectral Angle Mapper (SAM) classification method with two spectral reference sources, namely field spectral measurement using a spectrometer and endmember spectral from the image, and then compare the classification results. The accuracy level of SAM classification result showed that classification using endmember spectral from the image as the reference spectral reached 66,7%, whereas classification using field spectral measurement as spectral reference only reached 33,3%. The accuracy level of Spectral Mixture Analysis (SMA) classification result showed that classification using endmember spectral from the image as the reference spectral reached 62,5%. The affecting factors for the low accuracy is the significant differences of the spectral profiles obtained from spectrometer with spectral Landsat-8 due to differences of spatial and altitude.
Co-Authors Effendy, Iskandar Eko Kusratmoko Fajar Yulianto Junita Monika Pasaribu Khomarudin, Muhammad Rokhis Nanik Suryo Haryani Sayidah Sulma, Sayidah Sukowati, Kusumaning Ayu Dyah Supriatna Supriatna Suwarsono Suwarsono Udhi Catur Nugroho, Udhi Catur