Nurwita Mustika Sari, Nurwita Mustika
Pusat Pemanfaatan Penginderaan Jauh, LAPAN

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DETEKSI GEJALA ERUPSI STROMBOLIAN GUNUNGAPI RAUNG JAWA TIMUR MENGGUNAKAN NORMALIZED THERMAL INDEX DARI DATA MODIS (DETECTING THE PRECURSOR OF RAUNG VOLCANO STROMBOLIAN ERUPTION USING NORMALIZED THERMAL INDEX FROM MODIS) Suwarsono, -; Hidayat, -; Suprapto, Totok; Yulianto, Fajar; Sari, Nurwita Mustika; Parwati, -; Asriningrum, Wikanti
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 12 No. 2 Desember 2015
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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Abstract

Secara geologi, sebagian besar wilayah Indonesia berada pada jalur subduksi cincin api pasifik (pacific ring of fires) yang menyebabkan banyak bermunculan gunungapi aktif. Keberadaan gunungapi aktif tersebut membawa implikasi tersendiri akan munculnya ancaman erupsi vulkanik yang sewaktu-waktu dapat terjadi. Penelitian ini bertujuan untuk mendeteksi gejala erupsi gunungapi dengan menggunakan parameter Normalized Thermal Index (NTI) yang diturunkan dari data MODIS. Obyek gunungapi yang dipilih adalah Gunungapi Raung di Jawa Timur dimana sekitar Juni hingga Juli 2015 menunjukkan peningkatan aktivitas vulkanisme serta mengalami erupsi. Metode pengolahan data meliputi pengolahan citra Landsat-8 untuk penentuan area of interest (kaldera), pengolahan citra MODIS untuk pengukuran NTI, serta analisis pola spasial dan temporal NTI. Hasil penelitian menunjukkan bahwa gejala suatu gunungapi akan mengalami erupsi dapat diketahui dari adanya nilai NTI pada daerah kaldera yang meningkat dan relatif lebih tinggi dari daerah di sekitarnya. Parameter NTI telah teruji memiliki kemampuan yang baik dalam membedakan antara kaldera yang sedang meningkat aktivitas vulkaniknya dan obyek-obyek lainnya. Nilai NTI = 0,06 dapat diterapkan sebagai nilai ambang batas (threshold) suatu gunungapi menunjukkan gejala akan erupsi.Kata kunci: Gejala erupsi, Gunungapi Raung, Strombolian,MODIS, NTI
THE EFFECT OF ENVIRONMENTAL CONDITION CHANGES ON DISTRIBUTION OF URBAN HEAT ISLAND IN JAKARTA BASED ON REMOTE SENSING DATA Prasasti, Indah; Suwarsono, .; Sari, Nurwita Mustika
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 12, No 1 (2015)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (777.162 KB) | DOI: 10.30536/j.ijreses.2015.v12.a2670

Abstract

Anthropogenic activities of urban growth and development in the area of Jakarta has caused increasingly uncomfortable climatic conditions and tended to be warmer and potentially cause the urban heat island (UHI). This phenomenon can be monitored by observing the air temperature measured by climatological station, but the scope is relatively limited. Therefore, the utilization of remote sensing data is very important in monitoring the UHI with wider coverage and effective. In addition, the remote sensing data can also be used to map the pattern of changes in environmental conditions (microclimate). This study aimed to analyze the effect of changes in environmental conditions (land use/cover, Normalized Difference Vegetation Index (NDVI) and Normalized Difference Build-up Index (NDBI)) toward the spread of the urban heat island (UHI). In this case, the UHI was identified from pattern changes of Land Surface Temperature (LST) in Jakarta based on data from remote sensing. The data used was Landsat 7 in 2007 and Landsat 8 in 2013 for parameter extraction environmental conditions, namely: land use cover, NDVI, NDBI, and LST. The analysis showed that during the period 2007 to 2013, there has been a change in the condition of the land use/cover, impairment NDVI, and expansion NDBI that trigger an increase in LST and the formation of heat islands in Jakarta, especially in the area of business centers, main street and surrounding area, as well as in residential areas.
A COMPARISON OF OBJECT-BASED AND PIXEL-BASED APPROACHES FOR LAND USE/LAND COVER CLASSIFICATION USING LAPAN-A2 MICROSATELLITE DATA Nugroho, Jalu Tejo; Zylshal, .; Sari, Nurwita Mustika; Kushardono, Dony
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 14, No 1 (2017)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (853.981 KB) | DOI: 10.30536/j.ijreses.2017.v14.a2680

Abstract

In recent years, small satellite industry has been a rapid trend and become important especially when associated with operational cost, technology adaptation and the missions. One mission of LAPAN-A2, the 2nd generation of microsatellite that developed by Indonesian National Institute of Aeronautics and Space (LAPAN), is Earth observation using digital camera that provides imagery with 3.5 m spatial resolution. The aim of this research is to compare between object-based and pixel-based classification of land use/land cover (LU/LC) in order to determine the appropriate classification method in LAPAN-A2 dataprocessing (case study Semarang, Central Java).The LU/LC were classified into eleven classes, as follows: sea, river, fish pond, tree, grass, road, building 1, building 2, building 3, building 4 and rice field. The accuracy of classification outputs were assessed using confusion matrix. The object-based and pixel-based classification methods result for overall accuracy are 31.63% and 61.61%, respectively. According to accuracy result, it was thought that blurring effect on LAPAN-A2 data may be the main cause ofaccuracy decrease. Furthermore, the result is suggested to use pixel-based classification to be applied inLAPAN-A2 data processing.
Object Segmentation on UAV Photo Data to Support the Provision of Rural Area Spatial Information Sari, Nurwita Mustika; Kushardono, Dony
Forum Geografi Vol 29, No 1 (2015): Forum Geografi
Publisher : Forum Geografi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (370.116 KB)

Abstract

The use of Unmanned Aerial Vehicle (UAV) to take aerial photographs is increasing in recent years. Photo data taken by UAV become one of reliable detailed-scale  remote sensing data sources. The capability to obtain cloud-free images and the flexibility of time are some of the advantages of UAV photo data compared to satellite images with optical sensor. Displayed area at the data shows the objects clearly. Rural area has certain characteristics in its land cover namely ricefield. To delineate the area correctly there is an object-based image analysis methods (OBIA) that could be applied. In this  study, proposed a novel method to  execute the separation of objects that exist in the data with segmentation method. The result shows an effective segmentation method to separate different objects in rural areas recorded on UAV image data. The accuracy obtained is 90.47% after optimization process. This segmentation can be a valid basis to support the provision of spatial information in rural area.
PRELIMINARY STUDY OF LSU-02 PHOTO DATA APPLICATION TO SUPPORT 3D MODELING OF TSUNAMI DISASTER EVACUATION MAP Yunita, Linda; Sari, Nurwita Mustika; Kushardono, Dony
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 14, No 2 (2017)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (759.97 KB) | DOI: 10.30536/j.ijreses.2017.v14.a2792

Abstract

The southern coast of Pacitan Regency is one of the vulnerable areas to the tsunami. Therefore, the map of the vulnerable and safe area from the tsunami disaster is required. Currently, there are many mapping technologies with UAVs used for spatial analysis. One of the UAV technologies which used in this research is LAPAN Surveillance UAV 02 (LSU-02). This study aims to map the evacuation plan area from LSU-02 aerial imagery. Tsunami evacuation area was identified by processing the aerial photo data into orthomosaic and Digital Elevation Model (DEM). The result shows that there are four points identified as the tsunami evacuation plan area. These points are located higher than the surrounding area and are easily accessible.
Object Segmentation on UAV Photo Data to Support the Provision of Rural Area Spatial Information Sari, Nurwita Mustika; Kushardono, Dony
Forum Geografi Vol 29, No 1 (2015): July 2015
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (370.116 KB) | DOI: 10.23917/forgeo.v29i1.792

Abstract

The use of Unmanned Aerial Vehicle (UAV) to take aerial photographs is increasing in recent years. Photo data taken by UAV become one of reliable detailed-scale  remote sensing data sources. The capability to obtain cloud-free images and the flexibility of time are some of the advantages of UAV photo data compared to satellite images with optical sensor. Displayed area at the data shows the objects clearly. Rural area has certain characteristics in its land cover namely ricefield. To delineate the area correctly there is an object-based image analysis methods (OBIA) that could be applied. In this  study, proposed a novel method to  execute the separation of objects that exist in the data with segmentation method. The result shows an effective segmentation method to separate different objects in rural areas recorded on UAV image data. The accuracy obtained is 90.47% after optimization process. This segmentation can be a valid basis to support the provision of spatial information in rural area.
QUALITY ANALYSIS OF SINGLE TREE OBJECT WITH OBIA AND VEGETATION INDEX FROM LAPAN SURVEILLANCE AIRCRAFT MULTISPECTRAL DATA IN URBAN AREA Sari, Nurwita Mustika; Kushardono, Dony
Geoplanning: Journal of Geomatics and Planning Vol 3, No 2 (2016): (October 2016)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.3.2.93-106

Abstract

High-resolution remote sensing data as the acquisition result of LAPAN Surveillance Aircraft (LSA) has the potential to analyze urban areas. The purpose of this study was to develop a method of LSA multispectral data utilization with an analysis of the single tree object in urban areas with OBIA and vegetation index. The method proposed in this study is a hierarchical classification to obtain the specific tree object that will be used further to analyze the quality of vegetation. In particular, analysis of the vegetation quality on the tree object was carried out by calculating the value of vegetation index NDVI. As a result, the overall accuracy of the hierarchical classification of objects in urban areas reached 88 %. In conclusion, the analysis of the quality of vegetation NDVI has been able to perceive the condition of trees in the urban area.
The Relationship between the Mixed Pixel Spectral Value of Landsat 8 OLI Data and LAPAN Surveillance Aircraft (LSA) Aerial-Photo Data Sari, Nurwita Mustika; Chulafak, Galdita Aruba; Zylshal, Zylshal; Kushardono, Dony
Forum Geografi Vol 31, No 1 (2017): July 2017
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1132.352 KB) | DOI: 10.23917/forgeo.v31i1.3500

Abstract

Medium resolution satellite data such as Landsat is very potential for mixed pixel (mixel) to occur. Indonesian land use diverse especially urban areas makes high potential mixel in the first Landsat pixel size of 30 meters x 30 meters on the actual condition. Aircraft multispectral aerial photo data LAPAN Surveillance Aircraft (LSA) with a spatial resolution reached 58 cm can display objects in more detail in these sizes. The purpose of this research is to study mixel on Landsat data with multispectral data LSA as a complement Landsat data. The method proposed in this study is a visual interpretation with GEOBIA method for classification of land cover, and then test the validity of the sample to be used in research, and the use of such vegetation index NDVI to see the connection between vegetation index data of vegetation index LSA with Landsat data. The results showed that the regression equation obtained by regression between NDVI of Landsat data and NDVI of  LSA with a significance of less than 0.05 is y = 0.732x - 0102 with a value of R2 = 0.887. Through these results we can conclude that the NDVI values on both the data related to one another.
KLASIFIKASI PENUTUP LAHAN BERBASIS OBYEK PADA DATA FOTO UAV UNTUK MENDUKUNG PENYEDIAAN INFORMASI PENGINDERAAN JAUH SKALA RINCI (OBJECT BASED CLASSIFICATION OF LAND COVER ON UAV PHOTO DATA TO SUPPORT THE PROVISION OF DETAILED-SCALE REMOTE SENSING INFORMATION) Sari, Nurwita Mustika; Kushardono, Dony
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 11 No.2 Desember 2014
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (855.052 KB)

Abstract

Kebutuhan akan informasi spasial dari penginderaan jauh skala rinci semakin meningkat. Pesawat tanpa awak atau UAV adalah salah satu wahana yang diharapkan dapat digunakan untuk memperoleh informasi tersebut. Produksi informasi spasial penutup lahan menggunakan data foto UAV yang memiliki informasi rinci memerlukan metode yang tepat untuk klasifikasi. Penelitian ini mengusulkan metode klasifikasi penutup lahan berbasis obyek berdasarkan informasi tekstur lahan dari Haralick yakni homogeneity, contrast, dissimilarity, entropy, angular second moment, mean, standard deviation, dan correlation. Sebagai metode pembanding dilakukan klasifikasi penutup lahan menggunakan metode klasifikasi berbasis obyek konvensional menggunakan tiga fitur informasi sekaligus brightness, compactness, dan density. Hasil penelitian menunjukkan metode dengan menggunakan informasi tekstur dalam klasifikasi berbasis obyek memiliki hasil akurasi yang jauh lebih baik mencapai 95.22% atau berbeda 17.5% dibanding metode konvensional yang mencapai akurasi 77.71%. Kata kunci: Foto udara UAV, Klasifikasi berbasis obyek, informasi tekstur, penutup lahan
Identifikasi Ketersediaan Ruang Terbuka Hijau Kecamatan Kramat Jati Kodya Jakarta Timur Menggunakan Citra Pleiades Mukhoriyah, Mukhoriyah; Sari, Nurwita Mustika; Sharika, Maya; Hanifati, Lidya Nur
Jurnal Planologi Vol 16, No 2 (2019): Oktober, 2019. Thema Pengelolaan Lahan dan Wisata
Publisher : Universitas Islam Sultan Agung Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/jpsa.v16i2.5005

Abstract

ABSTRACTThe development of big cities in Indonesia especially Jakarta City which is developing very rapidly is marked by the rapid development of physical development, thus affecting the increasing population and land use resulting in a decrease in the amount of vegetation cover. The main problem of the existence of Open Green Space (RTH) in Jakarta is the increasingly reduced / limited land and inconsistencies in implementing spatial planning. The reduced green space is caused by changes in land use that is relatively significant so that green space in Jakarta has not met the target of 30% of the total area, especially in the District of Kramatjati. The purpose of this study is to calculate the need for green space within a district. The method used is the initial data processing (radiometric correction, pancarrage, mosaic, cropping) and calculation of vegetation density values based on Normalized Defference Vegetation Index (NDVI). Based on the results of NDVI calculations using Pleiades Image Data in 2015, that in Kramat Jati Subdistrict there were 225.17 ha as vegetation areas, while 918.93 ha were non-vegetation areas. The results of the calculation are then divided into density levels, ie, a rare density of 48,595 ha, medium density of 34,446 ha, and high density of 160,609 ha. The conclusion obtained is that green open space in Kramat Jati Sub-district is planned to cover 12.38% of the entire Kramat Jati area. However, based on NDVI results, green open space in Kramatjati has reached 19.68% of the entire district area. And  terms of quantity, then the amount of green space has been fulfilled. Key Word : open green space (RTH), Normalized Defference Vegetation Index (NDVI), Pleiades Image ABSTRAKPerkembangan kota-kota besar di Indonesia khususnya Kota Jakarta yang berkembang dengan sangat pesat ditandai perkembangan pembangunan fisik yang cepat, Sehingga mempengaruhi semakin meningkatnya jumlah penduduk dan pemanfaatan lahan yang mengakibatkan berkurangnya jumlah tutupan vegetasi. Permasalahan utama keberadaan Ruang Terbuka Hijau (RTH) di Kota Jakarta adalah semakin berkurangnya/keterbatasan lahan dan ketidak konsisten dalam menerapkan tata ruang. Berkurangnya RTH disebabkan oleh perubahan penggunaan lahan yang relatif signifikan sehingga RTH Jakarta belum memenuhi target 30% dari total luas wilayahnya terutama di Kecamatan Kramatjati. Tujuan dari penelitian ini adalah untuk menghitung kebutuhan RTH dalam satu lingkup kecamatan. Metode yang digunakan adalah pengolahan data awal (koreksi radiometrik, pansharpen, mozaik, cropping) dan perhitungan nilai kerapatan vegetasi berdasarkan Normalized Defference Vegetation Indeks (NDVI). Berdasarkan hasil perhitungan NDVI dengan menggunakan data Citra Pleiades Tahun 2015, bahwa di Kecamatan Kramat Jati terdapat 225,17 ha merupakan daerah vegetasi, sedangkan 918,93 ha adalah daerah non vegetasi. Hasil perhitungan tersebut kemudian di bagi dalam tingkat kerapatan yaitu kerapatan jarang sebesar 48.595 ha, kerapatan menengah sebesar 34.446 ha, dan kerapatan tinggi sebesar 160.609 ha. Kesimpulan yang diperoleh adalah RTH di Kecamatan Kramat Jati direncanakan seluas 12,38 % dari seluruh wilayah Kramat Jati. Namun, berdasarkan hasil NDVI, RTH di Kramatjati sudah mencapai 19,68% dari seluruh luas kecamatan dan dari segi kuantitas, maka jumlah RTH telah terpenuhi.    Kata Kunci: Ruang Terbuka Hijau (RTH), Normalized Defference Vegetation Indeks (NDVI), Citra Pleiades