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Papers by Antonius Wijanarto

Research paper thumbnail of Calibration of a Kodak DCS200 Digital Camera

Research paper thumbnail of Dinamika Genangan Pesisir Jakarta Berdasarkan Data Multi-Temporal Satelit Menggunakan Indeks Air Dan Polarisasi Radar

Jurnal Ilmu dan Teknologi Kelautan Tropis

Kombinasi baseline data pengindraan jauh sistem aktif dan pasif memiliki banyak keuntungan dalam ... more Kombinasi baseline data pengindraan jauh sistem aktif dan pasif memiliki banyak keuntungan dalam pemantauan dinamika genangan pesisir. Kedua jenis sensor satelit mengatasi kesenjangan informasi genangan, terutama pada area yang ditutupi awan/bayangan. Tujuan utama penelitian ini adalah untuk mengkaji dinamika genangan di wilayah pesisir Jakarta berdasarkan data multi-temporal sensor optik dari Landsat 8 dan Synthetic Aperture Radar (SAR) Sentinel 1A. Metode penelitian ini menggunakan dua algoritma indeks air. Algoritma tersebut yaitu Modified Normalized Difference Water Index (MNDWI) dan Dynamic Surface Water Extent (DSWE) berdasarkan nilai spektral reflektansi dan formula empirik. Metode lainnya adalah menggunakan nilai rata-rata koefisien backscatter air dari analisis polarisasi tunggal Vertikal Vertikal (VV) dan Vertikal Horisontal (VH). Hasil studi menunjukkan bahwa penggunaan kedua tipe data satelit dengan baseline data 8, 9, 15 dan 16 hari cukup efektif memantau dinamika genan...

Research paper thumbnail of Source Models of the Two September and December 2018 Indonesia Tsunamis Based on Spectral Analyses and Numerical Modeling

Japan Geoscience Union, 2019

Research paper thumbnail of Study on the Role of Urban Forest Toward Temperature Reduction in Residential Area

Nowadays, the quality of urban environment is a challenging problem. Urban development indicated ... more Nowadays, the quality of urban environment is a challenging problem. Urban development indicated by the increase of population as well as development in all aspects, either positive or negative. But it can degrade the environment quality. This can be indicated by for example, air pollution, which can reduce the oxygen supply and overwhelms the production of carbon dioxide as well as the increase in temperature. From the foregoing problems, the “back to nature” concept is needed to solve environment problem in urban area, by introducing the urban forest. However, constraints in available space exists, therefore, alternative solution can be employed by increasing the effectiveness of existing urban forest. This research aims at analyzing the effectiveness of urban forest in reducing the air temperature based on two parameters: forest structures and forest forms. Keywords : Urban Forest, Temperature Reduction, Forest Structure, Forest Forms, GIS Analysis. ABSTRAK Kualitas lingkungan pe...

Research paper thumbnail of Deforestation and IT is Implications for Sumatran Tigers in Bukit Barisan Selatan National Park, Sumatra

Taman Nasional Bukit Barisan Selatan (TNBBS) memiliki ekosistem yang lengkap mulai dari hutan dat... more Taman Nasional Bukit Barisan Selatan (TNBBS) memiliki ekosistem yang lengkap mulai dari hutan dataran rendah termasuk hutan mangrove hingga hutan dataran tinggi. Taman nasional ini teridentifikasi sebagai area konservasi prioritas utama untuk harimau sumatra (Tiger Conservation Unit 1). Akan tetapi, banyak tutupan hutan yang di gunduli (deforestasi). Deforestasi bukan hanya menjadi ancaman besar bagi kelestarian hutan tetapi juga terhadap populasi harimau sumatra. Penelitian ini menghubungkan data citra satelit Landsat dengan data survei harimau menggunakan kamera otomatis (camera traps) untuk mengetahui pola deforestasi, populasi harimau, dan implikasi deforestasi terhadap populasi harimau. Hasil penelitian menunjukan sekitar 27% tutupan hutan di TNBBS telah hilang. Rata-rata laju deforestasi dalam satu dasawarsa terakhir (1998 - 2006) sebesar 18,76 km2/tahun. Jumlah harimau menurun dari 57 individu pada tahun 1998 menjadi 22 individu di tahun 2006, dan kepadatan populasinya juga m...

Research paper thumbnail of Mapping Canopy Height of Radiata Pine Plantation in Tasmania, Australia, using Softcopy Photogrammetry

International journal of geoinformatics, 2007

Digital photogrammetry provides an opportunity to automate the measurement of tree heights. A suf... more Digital photogrammetry provides an opportunity to automate the measurement of tree heights. A sufficiently dense canopy model with tree height data at nearly 100% sampling rates has the potential to improve significantly the reliability of strategic and operational forest inventory. This study investigates the utility of digital photogrammetric techniques to map tree height within radiata pine plantations. A digital photogrammetric workstation, the Leica Helava DPW 770, was used to generate digital canopy models (DCMIs) of both closed canopy and thinned stands. The performance of the workstation and several post-processing filters were assessed using scanned aerial photographs of different film types and scales, including colour, black and white.

Research paper thumbnail of Geodetic constraints on slip partitioning at a convergent plate boundary: Reconciling long-term structural deformation with earthquake cycle observations in West Java

Research paper thumbnail of Coastal Morphodynamic Study Using Multi Temporal Data in Banten Bay, Indonesia

Banten Bay and its surrounding area has been indicated as the coastal areas that serious the envi... more Banten Bay and its surrounding area has been indicated as the coastal areas that serious the environmental problems due to poor management of the natural marine resources that has been going for a long time. This study was carried out focusing on the coastal morphodynamic processes, using the multi temporal satellite images as the main sources of the information. The topographic data of year 1923 has been used for the baseline data for research carried out supported by others thematic data that can be collected for the area of study. The multi temporal images used were aerial photographs at 1:30.000 scale acquired in 1981/1982 and at 1:50.000 scale acquired in 1994; SPOT XS images dated 1990 and 1997 as well as LANDSAT MSS of 1976; LANDSAT TM of 1996 & 2000. Geomorphological map for the study area has been prepared on 1:50,000 scale and the coastal morphodynamic were studied in detail using remote sensing approach completed with the ground-truthing using stratified random sampling t...

Research paper thumbnail of Pemanfaatan Band Thermal Infrared (Tir) Citra Aster Untuk Pemetaan Suhu Permukaan Laut DI Perairan Selat Madura

Suhu Permukaan Laut (SPL) merupakan salah satu parameter oseanografi yang sangat penting untuk me... more Suhu Permukaan Laut (SPL) merupakan salah satu parameter oseanografi yang sangat penting untuk mempelajari gejala-gejala fisika di dalam laut serta dalam kaitannya dengan kehidupan biota laut, saat ini telah banyak satelit yang dilengkapi sensor inframerah termal untuk mengukur SPL. ASTER (Advanced Spaceborn Thermal Emission and Reflection Radiometer) merupakan citra multi band sensor inframerah termal (TIR) pertama di dunia memiliki resolusi spasial 90x90 m dengan luas liputan 60 km. Dalam penelitian ini digunakan dua metode perhitungan SPL dari Citra ASTER yaitu algoritma Alley & Nilsen yang menggunakan perhitungan single band dan algoritma Kishino dengan menggunakan perhitungan multi band, hasil kedua algoritma tersebut dibandingkan dengan pengukuran lapangan dan SPL dari Citra NOAA-AVHRR. Hasil penelitian ini menunjukkan bahwa perhitungan dengan algoritma Kishino mempunyai kesesuaian yang lebih baik dari pada algoritma Alley & Nilsen dengan nilai koefisien determinasi (R2) sebes...

Research paper thumbnail of Urban Growth Prediction Using Logistic Regression Model

Urbanization has been one of major issues in Indonesia, especially in big cities like Jakarta. Bo... more Urbanization has been one of major issues in Indonesia, especially in big cities like Jakarta. Bogor as the supporting area of Jakarta has been affected by this urbanization. It did not only impact in increasing population, but it did also affect the carrying capacity of the environment. This research studied urban growth of Bogor, using logistic regression model. The model involve several driving factors that can be used to predict future impact of urbanization. The results indicate that the logistic regression model for urban growth in Bogor shows that R2 = 0.18, which means that the model is relatively good. In this research ROC has been produced is 0.8429, which means the logistic regression model of urban growth of Bogor can be estimated well. Keywords: Urban Growth, Logistic Model, Spatial Analysis ABSTRAK Urbanisasi merupakan salah satu isu besar di Indonesia, khususnya di kota-kota besar seperti Jakarta. Bogor sebagai daerah pendukung Jakarta juga menjadi daerah yang mendapa...

Research paper thumbnail of Dinamika Genangan Pesisir Jakarta Berdasarkan Data Multi-Temporal Satelit Menggunakan Indeks Air Dan Polarisasi Radar

Combining baseline data of remote sensing systems active and passive has many advantages in monit... more Combining baseline data of remote sensing systems active and passive has many advantages in monitoring coastal inundation dynamically. It has advanced the surface water information gaps in coastal areas, especially areas covered by clouds and shadows. The main objective of this study was to assess the dynamics of coastal inundation in Jakarta based on multi-temporal data optics of Landsat 8 and Synthetic Aperture Radar (SAR) Sentinel 1A. The method of this research used two water index algorithms. They are Modified Normalized Difference Water Index (MNDWI) and Dynamic Surface Water Extent (DSWE) based on spectral reflectance values and empirical formulas. The other method is using the coefficient backscattering of water from a single polarization of Vertical Verticals (VV) and Vertical Horizontal (VH). The study results show that the use of both satellite data baseline of 8, 9, 15, and 16 days is quite effective, applying inundation dynamics for 8-49 days. Based on the threshold val...

Research paper thumbnail of On Estimation of GPS-based Indonesian Strain Rate Map

Research paper thumbnail of SPATIAL MODEL OF SUMATRAN TIGER (Panthera tigris sumatrae) POTENTIAL HABITAT SUITABILITY IN BUKIT BARISAN SELATAN

This study describes on development of habitat suitability for Sumatran tiger in Bukit Barisan Se... more This study describes on development of habitat suitability for Sumatran tiger in Bukit Barisan Selatan National Park (BBSNP). In this study remotely-sensed data set were linked with tiger and it prey survey using camera trap to identify the environmental and human factors that influences the tiger's potential habitat, and to develop a spatial model as well as in BBSNP. All at once, the study showed that the potential model for estimating the tiger's potential habitat suitability could be developed using environmental and human factors. The most significant factors that influence the tiger habitat suitability in Bukit Barisan Selatan National Park are human factors such as distance to road and distance to forest edge and the environmental factor i.e. the number of tiger prey. The verification of the model shows that the model is capable to estimate the probability of the tiger presence having accuracy of approximately 78%. The model shows that there is no significant differen...

Research paper thumbnail of Pengelompokkan Habitat Dasar Perairan Dangkal Berbasis Data Satelit Quickbird Menggunakan Algoritma Self Organising Map

Pengembangan algoritma self organising map dalam penelitian ini bertujuan untuk mengelompokkan ha... more Pengembangan algoritma self organising map dalam penelitian ini bertujuan untuk mengelompokkan habitat perairan dangkal berbasis data satelit Quickbird. Data primer dikumpulkan melalui data penginderaan jauh dan survey lapang, sedangkan data sekunder dikumpulkan dari penelitian yang relevan. Hasil penelitian menunjukkan bahwa klasifikasi algoritma self organising map dapat mengklaster/ mengklasifikasi citra Quickbird dari berbagai kombinasi kanal. Dari berbagai kombinasi input data setelah direduksi kolom air dengan algoritma Lyzenga, Self organising map menunjukkan hasil klaster yang relatif baik. Algoritma Lyzenga dapat mengelompokkan habitat perairan dangkal 6 (enam) kelas habitat, yaitu karang mati (merah), karang hidup (hijau), lamun (orange), pasir (kuning), dan habitat campuran (hijau muda), daratan (hitam) dan perairan (biru). Setelah menggunakan self organising map secara visual terlihat 6 kelas habitat yang berbeda dari Lyzenga, yaitu karang mati (kuning), karang hidup (cy...

Research paper thumbnail of Pemetaan habitat dasar perikanan dangkal berbasis data satelit quickbird suatu kajian algoritma kecerdasan buatan

Research paper thumbnail of The Development of Deformation Model for Semi-Dynamic Datum of Indonesia

Research paper thumbnail of Monitoring coastal inundation of Jakarta using synthetic aperture radar Sentinel 1A

Remote sensing active systems which is represented by C-band Synthetic Aperture Radar (SAR) enhan... more Remote sensing active systems which is represented by C-band Synthetic Aperture Radar (SAR) enhance features in mapping inundation of coastal areas of Jakarta that are free of clouds/shadows. This study was conducted to assess the dynamical inundation of coastal areas in Jakarta based on multi-temporal data of C-band SAR Sentinel 1A. Data was analyzed using In-SAR and Radar Polarization analysis. Data processing was performed using SNAP 6.0 and QGIS Las Palmas 2.18.15 software. The results of this study indicate that the backscatter coefficient of the surface water is about - 19dB. The polarization analysis shows the appearance of water bodies and surface water mixed with other objects that was blue and cyan colors. VH polarization analysis showed more detection than VV polarization analysis. Dual polarization analysis reveals inundation changes in certain areas such as coastal dikes, reservoirs, mangrove ecosystems and built-up land in temporally and spatially. This study demonstra...

Research paper thumbnail of Landslide source of the September 2018 Sulawesi tsunami, Indonesia as inferred from spectral analyses, numerical modeling and field surveys

Research paper thumbnail of Feature extraction of coastal surface inundation via water index algorithms using multispectral satellite on North Jakarta

IOP Conference Series: Earth and Environmental Science

The study aims to characterize water index algorithms using Sentinel 2A-MSI and Landsat 8-OLI sen... more The study aims to characterize water index algorithms using Sentinel 2A-MSI and Landsat 8-OLI sensors to generate the performance of CSI and its proper uses in science. Feature extraction of the 35 combinations of CSI specifically uses information deriving from a number of water index spectral bands. Supervised classification is used to categorize water and non-water features using Spectral Angle Mapper (SAM). Furthermore, Dynamic Surface Water Extent (DSWE) algorithm was taken to mapping inundation and non-inundation. Result of this research shows that the best water index algorithms is exhibited by the MNDWI algorithm where it can enhance the water reflectance to be positive value. Re-classification on all water index algorithms indicates a similar pattern to the feature extraction of water and non-water. It is determined by overall accuracy (99.56-99.99%), Kappa coefficient (0.97-1.00), producer accuracy (99.05-99.99%) and user accuracy (93.43-99.94%). Substituting all water index algorithms into DSWE algorithm points out that the MNDWI is still the good performance and other substituted algorithms generate low performances. Overall feature extractions of CSI in North Jakarta at this research manifests that the MNDWI algorithm using multi-spectral and satellites is the best algorithm.

Research paper thumbnail of Feature extraction of coastal surface inundation via water index algorithms using multispectral satellite on North Jakarta

IOP Conference Series: Earth and Environmental Science, Jul 30, 2018

The study aims to characterize water index algorithms using Sentinel 2A-MSI and Landsat 8-OLI sen... more The study aims to characterize water index algorithms using Sentinel 2A-MSI and Landsat 8-OLI sensors to generate the performance of CSI and its proper uses in science. Feature extraction of the 35 combinations of CSI specifically uses information deriving from a number of water index spectral bands. Supervised classification is used to categorize water and non-water features using Spectral Angle Mapper (SAM). Furthermore, Dynamic Surface Water Extent (DSWE) algorithm was taken to mapping inundation and non-inundation. Result of this research shows that the best water index algorithms is exhibited by the MNDWI algorithm where it can enhance the water reflectance to be positive value. Re-classification on all water index algorithms indicates a similar pattern to the feature extraction of water and non-water. It is determined by overall accuracy (99.56-99.99%), Kappa coefficient (0.97-1.00), producer accuracy (99.05-99.99%) and user accuracy (93.43-99.94%). Substituting all water index algorithms into DSWE algorithm points out that the MNDWI is still the good performance and other substituted algorithms generate low performances. Overall feature extractions of CSI in North Jakarta at this research manifests that the MNDWI algorithm using multi-spectral and satellites is the best algorithm.

Research paper thumbnail of Calibration of a Kodak DCS200 Digital Camera

Research paper thumbnail of Dinamika Genangan Pesisir Jakarta Berdasarkan Data Multi-Temporal Satelit Menggunakan Indeks Air Dan Polarisasi Radar

Jurnal Ilmu dan Teknologi Kelautan Tropis

Kombinasi baseline data pengindraan jauh sistem aktif dan pasif memiliki banyak keuntungan dalam ... more Kombinasi baseline data pengindraan jauh sistem aktif dan pasif memiliki banyak keuntungan dalam pemantauan dinamika genangan pesisir. Kedua jenis sensor satelit mengatasi kesenjangan informasi genangan, terutama pada area yang ditutupi awan/bayangan. Tujuan utama penelitian ini adalah untuk mengkaji dinamika genangan di wilayah pesisir Jakarta berdasarkan data multi-temporal sensor optik dari Landsat 8 dan Synthetic Aperture Radar (SAR) Sentinel 1A. Metode penelitian ini menggunakan dua algoritma indeks air. Algoritma tersebut yaitu Modified Normalized Difference Water Index (MNDWI) dan Dynamic Surface Water Extent (DSWE) berdasarkan nilai spektral reflektansi dan formula empirik. Metode lainnya adalah menggunakan nilai rata-rata koefisien backscatter air dari analisis polarisasi tunggal Vertikal Vertikal (VV) dan Vertikal Horisontal (VH). Hasil studi menunjukkan bahwa penggunaan kedua tipe data satelit dengan baseline data 8, 9, 15 dan 16 hari cukup efektif memantau dinamika genan...

Research paper thumbnail of Source Models of the Two September and December 2018 Indonesia Tsunamis Based on Spectral Analyses and Numerical Modeling

Japan Geoscience Union, 2019

Research paper thumbnail of Study on the Role of Urban Forest Toward Temperature Reduction in Residential Area

Nowadays, the quality of urban environment is a challenging problem. Urban development indicated ... more Nowadays, the quality of urban environment is a challenging problem. Urban development indicated by the increase of population as well as development in all aspects, either positive or negative. But it can degrade the environment quality. This can be indicated by for example, air pollution, which can reduce the oxygen supply and overwhelms the production of carbon dioxide as well as the increase in temperature. From the foregoing problems, the “back to nature” concept is needed to solve environment problem in urban area, by introducing the urban forest. However, constraints in available space exists, therefore, alternative solution can be employed by increasing the effectiveness of existing urban forest. This research aims at analyzing the effectiveness of urban forest in reducing the air temperature based on two parameters: forest structures and forest forms. Keywords : Urban Forest, Temperature Reduction, Forest Structure, Forest Forms, GIS Analysis. ABSTRAK Kualitas lingkungan pe...

Research paper thumbnail of Deforestation and IT is Implications for Sumatran Tigers in Bukit Barisan Selatan National Park, Sumatra

Taman Nasional Bukit Barisan Selatan (TNBBS) memiliki ekosistem yang lengkap mulai dari hutan dat... more Taman Nasional Bukit Barisan Selatan (TNBBS) memiliki ekosistem yang lengkap mulai dari hutan dataran rendah termasuk hutan mangrove hingga hutan dataran tinggi. Taman nasional ini teridentifikasi sebagai area konservasi prioritas utama untuk harimau sumatra (Tiger Conservation Unit 1). Akan tetapi, banyak tutupan hutan yang di gunduli (deforestasi). Deforestasi bukan hanya menjadi ancaman besar bagi kelestarian hutan tetapi juga terhadap populasi harimau sumatra. Penelitian ini menghubungkan data citra satelit Landsat dengan data survei harimau menggunakan kamera otomatis (camera traps) untuk mengetahui pola deforestasi, populasi harimau, dan implikasi deforestasi terhadap populasi harimau. Hasil penelitian menunjukan sekitar 27% tutupan hutan di TNBBS telah hilang. Rata-rata laju deforestasi dalam satu dasawarsa terakhir (1998 - 2006) sebesar 18,76 km2/tahun. Jumlah harimau menurun dari 57 individu pada tahun 1998 menjadi 22 individu di tahun 2006, dan kepadatan populasinya juga m...

Research paper thumbnail of Mapping Canopy Height of Radiata Pine Plantation in Tasmania, Australia, using Softcopy Photogrammetry

International journal of geoinformatics, 2007

Digital photogrammetry provides an opportunity to automate the measurement of tree heights. A suf... more Digital photogrammetry provides an opportunity to automate the measurement of tree heights. A sufficiently dense canopy model with tree height data at nearly 100% sampling rates has the potential to improve significantly the reliability of strategic and operational forest inventory. This study investigates the utility of digital photogrammetric techniques to map tree height within radiata pine plantations. A digital photogrammetric workstation, the Leica Helava DPW 770, was used to generate digital canopy models (DCMIs) of both closed canopy and thinned stands. The performance of the workstation and several post-processing filters were assessed using scanned aerial photographs of different film types and scales, including colour, black and white.

Research paper thumbnail of Geodetic constraints on slip partitioning at a convergent plate boundary: Reconciling long-term structural deformation with earthquake cycle observations in West Java

Research paper thumbnail of Coastal Morphodynamic Study Using Multi Temporal Data in Banten Bay, Indonesia

Banten Bay and its surrounding area has been indicated as the coastal areas that serious the envi... more Banten Bay and its surrounding area has been indicated as the coastal areas that serious the environmental problems due to poor management of the natural marine resources that has been going for a long time. This study was carried out focusing on the coastal morphodynamic processes, using the multi temporal satellite images as the main sources of the information. The topographic data of year 1923 has been used for the baseline data for research carried out supported by others thematic data that can be collected for the area of study. The multi temporal images used were aerial photographs at 1:30.000 scale acquired in 1981/1982 and at 1:50.000 scale acquired in 1994; SPOT XS images dated 1990 and 1997 as well as LANDSAT MSS of 1976; LANDSAT TM of 1996 & 2000. Geomorphological map for the study area has been prepared on 1:50,000 scale and the coastal morphodynamic were studied in detail using remote sensing approach completed with the ground-truthing using stratified random sampling t...

Research paper thumbnail of Pemanfaatan Band Thermal Infrared (Tir) Citra Aster Untuk Pemetaan Suhu Permukaan Laut DI Perairan Selat Madura

Suhu Permukaan Laut (SPL) merupakan salah satu parameter oseanografi yang sangat penting untuk me... more Suhu Permukaan Laut (SPL) merupakan salah satu parameter oseanografi yang sangat penting untuk mempelajari gejala-gejala fisika di dalam laut serta dalam kaitannya dengan kehidupan biota laut, saat ini telah banyak satelit yang dilengkapi sensor inframerah termal untuk mengukur SPL. ASTER (Advanced Spaceborn Thermal Emission and Reflection Radiometer) merupakan citra multi band sensor inframerah termal (TIR) pertama di dunia memiliki resolusi spasial 90x90 m dengan luas liputan 60 km. Dalam penelitian ini digunakan dua metode perhitungan SPL dari Citra ASTER yaitu algoritma Alley & Nilsen yang menggunakan perhitungan single band dan algoritma Kishino dengan menggunakan perhitungan multi band, hasil kedua algoritma tersebut dibandingkan dengan pengukuran lapangan dan SPL dari Citra NOAA-AVHRR. Hasil penelitian ini menunjukkan bahwa perhitungan dengan algoritma Kishino mempunyai kesesuaian yang lebih baik dari pada algoritma Alley & Nilsen dengan nilai koefisien determinasi (R2) sebes...

Research paper thumbnail of Urban Growth Prediction Using Logistic Regression Model

Urbanization has been one of major issues in Indonesia, especially in big cities like Jakarta. Bo... more Urbanization has been one of major issues in Indonesia, especially in big cities like Jakarta. Bogor as the supporting area of Jakarta has been affected by this urbanization. It did not only impact in increasing population, but it did also affect the carrying capacity of the environment. This research studied urban growth of Bogor, using logistic regression model. The model involve several driving factors that can be used to predict future impact of urbanization. The results indicate that the logistic regression model for urban growth in Bogor shows that R2 = 0.18, which means that the model is relatively good. In this research ROC has been produced is 0.8429, which means the logistic regression model of urban growth of Bogor can be estimated well. Keywords: Urban Growth, Logistic Model, Spatial Analysis ABSTRAK Urbanisasi merupakan salah satu isu besar di Indonesia, khususnya di kota-kota besar seperti Jakarta. Bogor sebagai daerah pendukung Jakarta juga menjadi daerah yang mendapa...

Research paper thumbnail of Dinamika Genangan Pesisir Jakarta Berdasarkan Data Multi-Temporal Satelit Menggunakan Indeks Air Dan Polarisasi Radar

Combining baseline data of remote sensing systems active and passive has many advantages in monit... more Combining baseline data of remote sensing systems active and passive has many advantages in monitoring coastal inundation dynamically. It has advanced the surface water information gaps in coastal areas, especially areas covered by clouds and shadows. The main objective of this study was to assess the dynamics of coastal inundation in Jakarta based on multi-temporal data optics of Landsat 8 and Synthetic Aperture Radar (SAR) Sentinel 1A. The method of this research used two water index algorithms. They are Modified Normalized Difference Water Index (MNDWI) and Dynamic Surface Water Extent (DSWE) based on spectral reflectance values and empirical formulas. The other method is using the coefficient backscattering of water from a single polarization of Vertical Verticals (VV) and Vertical Horizontal (VH). The study results show that the use of both satellite data baseline of 8, 9, 15, and 16 days is quite effective, applying inundation dynamics for 8-49 days. Based on the threshold val...

Research paper thumbnail of On Estimation of GPS-based Indonesian Strain Rate Map

Research paper thumbnail of SPATIAL MODEL OF SUMATRAN TIGER (Panthera tigris sumatrae) POTENTIAL HABITAT SUITABILITY IN BUKIT BARISAN SELATAN

This study describes on development of habitat suitability for Sumatran tiger in Bukit Barisan Se... more This study describes on development of habitat suitability for Sumatran tiger in Bukit Barisan Selatan National Park (BBSNP). In this study remotely-sensed data set were linked with tiger and it prey survey using camera trap to identify the environmental and human factors that influences the tiger's potential habitat, and to develop a spatial model as well as in BBSNP. All at once, the study showed that the potential model for estimating the tiger's potential habitat suitability could be developed using environmental and human factors. The most significant factors that influence the tiger habitat suitability in Bukit Barisan Selatan National Park are human factors such as distance to road and distance to forest edge and the environmental factor i.e. the number of tiger prey. The verification of the model shows that the model is capable to estimate the probability of the tiger presence having accuracy of approximately 78%. The model shows that there is no significant differen...

Research paper thumbnail of Pengelompokkan Habitat Dasar Perairan Dangkal Berbasis Data Satelit Quickbird Menggunakan Algoritma Self Organising Map

Pengembangan algoritma self organising map dalam penelitian ini bertujuan untuk mengelompokkan ha... more Pengembangan algoritma self organising map dalam penelitian ini bertujuan untuk mengelompokkan habitat perairan dangkal berbasis data satelit Quickbird. Data primer dikumpulkan melalui data penginderaan jauh dan survey lapang, sedangkan data sekunder dikumpulkan dari penelitian yang relevan. Hasil penelitian menunjukkan bahwa klasifikasi algoritma self organising map dapat mengklaster/ mengklasifikasi citra Quickbird dari berbagai kombinasi kanal. Dari berbagai kombinasi input data setelah direduksi kolom air dengan algoritma Lyzenga, Self organising map menunjukkan hasil klaster yang relatif baik. Algoritma Lyzenga dapat mengelompokkan habitat perairan dangkal 6 (enam) kelas habitat, yaitu karang mati (merah), karang hidup (hijau), lamun (orange), pasir (kuning), dan habitat campuran (hijau muda), daratan (hitam) dan perairan (biru). Setelah menggunakan self organising map secara visual terlihat 6 kelas habitat yang berbeda dari Lyzenga, yaitu karang mati (kuning), karang hidup (cy...

Research paper thumbnail of Pemetaan habitat dasar perikanan dangkal berbasis data satelit quickbird suatu kajian algoritma kecerdasan buatan

Research paper thumbnail of The Development of Deformation Model for Semi-Dynamic Datum of Indonesia

Research paper thumbnail of Monitoring coastal inundation of Jakarta using synthetic aperture radar Sentinel 1A

Remote sensing active systems which is represented by C-band Synthetic Aperture Radar (SAR) enhan... more Remote sensing active systems which is represented by C-band Synthetic Aperture Radar (SAR) enhance features in mapping inundation of coastal areas of Jakarta that are free of clouds/shadows. This study was conducted to assess the dynamical inundation of coastal areas in Jakarta based on multi-temporal data of C-band SAR Sentinel 1A. Data was analyzed using In-SAR and Radar Polarization analysis. Data processing was performed using SNAP 6.0 and QGIS Las Palmas 2.18.15 software. The results of this study indicate that the backscatter coefficient of the surface water is about - 19dB. The polarization analysis shows the appearance of water bodies and surface water mixed with other objects that was blue and cyan colors. VH polarization analysis showed more detection than VV polarization analysis. Dual polarization analysis reveals inundation changes in certain areas such as coastal dikes, reservoirs, mangrove ecosystems and built-up land in temporally and spatially. This study demonstra...

Research paper thumbnail of Landslide source of the September 2018 Sulawesi tsunami, Indonesia as inferred from spectral analyses, numerical modeling and field surveys

Research paper thumbnail of Feature extraction of coastal surface inundation via water index algorithms using multispectral satellite on North Jakarta

IOP Conference Series: Earth and Environmental Science

The study aims to characterize water index algorithms using Sentinel 2A-MSI and Landsat 8-OLI sen... more The study aims to characterize water index algorithms using Sentinel 2A-MSI and Landsat 8-OLI sensors to generate the performance of CSI and its proper uses in science. Feature extraction of the 35 combinations of CSI specifically uses information deriving from a number of water index spectral bands. Supervised classification is used to categorize water and non-water features using Spectral Angle Mapper (SAM). Furthermore, Dynamic Surface Water Extent (DSWE) algorithm was taken to mapping inundation and non-inundation. Result of this research shows that the best water index algorithms is exhibited by the MNDWI algorithm where it can enhance the water reflectance to be positive value. Re-classification on all water index algorithms indicates a similar pattern to the feature extraction of water and non-water. It is determined by overall accuracy (99.56-99.99%), Kappa coefficient (0.97-1.00), producer accuracy (99.05-99.99%) and user accuracy (93.43-99.94%). Substituting all water index algorithms into DSWE algorithm points out that the MNDWI is still the good performance and other substituted algorithms generate low performances. Overall feature extractions of CSI in North Jakarta at this research manifests that the MNDWI algorithm using multi-spectral and satellites is the best algorithm.

Research paper thumbnail of Feature extraction of coastal surface inundation via water index algorithms using multispectral satellite on North Jakarta

IOP Conference Series: Earth and Environmental Science, Jul 30, 2018

The study aims to characterize water index algorithms using Sentinel 2A-MSI and Landsat 8-OLI sen... more The study aims to characterize water index algorithms using Sentinel 2A-MSI and Landsat 8-OLI sensors to generate the performance of CSI and its proper uses in science. Feature extraction of the 35 combinations of CSI specifically uses information deriving from a number of water index spectral bands. Supervised classification is used to categorize water and non-water features using Spectral Angle Mapper (SAM). Furthermore, Dynamic Surface Water Extent (DSWE) algorithm was taken to mapping inundation and non-inundation. Result of this research shows that the best water index algorithms is exhibited by the MNDWI algorithm where it can enhance the water reflectance to be positive value. Re-classification on all water index algorithms indicates a similar pattern to the feature extraction of water and non-water. It is determined by overall accuracy (99.56-99.99%), Kappa coefficient (0.97-1.00), producer accuracy (99.05-99.99%) and user accuracy (93.43-99.94%). Substituting all water index algorithms into DSWE algorithm points out that the MNDWI is still the good performance and other substituted algorithms generate low performances. Overall feature extractions of CSI in North Jakarta at this research manifests that the MNDWI algorithm using multi-spectral and satellites is the best algorithm.