Pub Date : 2019-08-01DOI: 10.1109/AGERS48446.2019.9034443
W. Windupranata, N.K. Suharjo, N. Hanifa, C. Nusantara
On September 28, 2018, Indonesia was devastated by a 7.5Mw earthquake that triggered a tsunami off of the coast of Palu Bay, Central Sulawesi. This incident was puzzling because strike-slip fault earthquakes rarely generates destructive tsunamis. Previous studies have shown that the 2018 Palu tsunami had not been generated solely by a tectonic source, but there had been other motions such as submarine landslide which could have potentially contributed to and intensified the main tectonic tsunami. Such hypothesis was concluded based on the significant difference between the result of numerical simulation and the tide gauge’s record. The purpose of this study is to further analyze the conclusion of this hypothesis by comparing the result of numerical simulation with the post-tsunami survey in several observed points. The observed points were located at two tide gauges, Pantoloan and Mamuju, as well as twenty-two other points located both within and outside of Palu Bay. The comparison of simulation results with observed data showed a 30-minute arrival delay of the tsunami in Mamuju. Maximum inundation in observed points also showed a difference of 0.2–6 meters compared with post-tsunami survey. The inundation areas were significantly different at a range of 1–7 km2, which indicated other motions that could have contributed to the Palu tsunami.
{"title":"Reconstruction of the 2018 Palu Tsunami based on Tectonic Earthquake","authors":"W. Windupranata, N.K. Suharjo, N. Hanifa, C. Nusantara","doi":"10.1109/AGERS48446.2019.9034443","DOIUrl":"https://doi.org/10.1109/AGERS48446.2019.9034443","url":null,"abstract":"On September 28, 2018, Indonesia was devastated by a 7.5Mw earthquake that triggered a tsunami off of the coast of Palu Bay, Central Sulawesi. This incident was puzzling because strike-slip fault earthquakes rarely generates destructive tsunamis. Previous studies have shown that the 2018 Palu tsunami had not been generated solely by a tectonic source, but there had been other motions such as submarine landslide which could have potentially contributed to and intensified the main tectonic tsunami. Such hypothesis was concluded based on the significant difference between the result of numerical simulation and the tide gauge’s record. The purpose of this study is to further analyze the conclusion of this hypothesis by comparing the result of numerical simulation with the post-tsunami survey in several observed points. The observed points were located at two tide gauges, Pantoloan and Mamuju, as well as twenty-two other points located both within and outside of Palu Bay. The comparison of simulation results with observed data showed a 30-minute arrival delay of the tsunami in Mamuju. Maximum inundation in observed points also showed a difference of 0.2–6 meters compared with post-tsunami survey. The inundation areas were significantly different at a range of 1–7 km2, which indicated other motions that could have contributed to the Palu tsunami.","PeriodicalId":197088,"journal":{"name":"2019 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130552971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-08-01DOI: 10.1109/AGERS48446.2019.9034348
G. P. Dinanta, L. Sumargana, D. Nugroho, D. Cassidy, R. Ramadhan, Y. Anantasena
The wildfires are often triggered by drought and human activity, one of the main challenges when the wildfires happen is to access to freshwater sources. The aim of this research is to estimate the depth of groundwater stored in different surficial aquifers as the source of water to suppress the wildfires in the East part of Siak-Regency. Collecting the dataset using water level measurements in wells, 2D-resistivity, and ground-penetrating radar (GPR). These data were used to estimate the aquifer properties and provide additional information which can be used to identify optimal locations to install new groundwater wells. The research was conducted over a two-year period from 2016 to 2017. utilizing the resistivity method, GPR, and auger data all showed four easily identifiable subsurface layers. The surface soil in the study area is predominantly peat, with a depth ranging between 2m to 5.8m (bgs), resistivity values ranging from 80Ω-m to 100Ω- m, and EM velocities between 0.038m/ns and 0.048m/ns The sandy-clay loam is relatively impermeable and acts as a confining layer, with resistivity values between 40Ω-m to 80Ω- m. GPR signals in this confining layer are attenuated, The EM velocity values in the confining unit range between 0.12m/ns and 0.15m/ns. the auger was unable to penetrate further. Below the confining unit lies a sandy layer at depths between 8m and 14m (bgs) with resistivity values lower than 20Ω-m, the fourth layer was deeper than 16m (bgs), had resistivity values from 70 Ω-m-100Ω-m and was consistent with the Pleistocene clayey-gravels of the Kerumutan Formation (Qpke). The other results of our study indicate that the surface water from the studies area has quite a low PH (1.5 to 2.5), making them unsuitable for domestic use. Based on the results of this study is recommended that groundwater in the study area in eastern Siak Regency be screened in the confined aquifer, at a depth from approximately 8m to 12m.
{"title":"Investigation of the groundwater reservoir in the tropical coastal island of Sumatra to help mitigate the wildfires: a study case in Siak Regency-Riau","authors":"G. P. Dinanta, L. Sumargana, D. Nugroho, D. Cassidy, R. Ramadhan, Y. Anantasena","doi":"10.1109/AGERS48446.2019.9034348","DOIUrl":"https://doi.org/10.1109/AGERS48446.2019.9034348","url":null,"abstract":"The wildfires are often triggered by drought and human activity, one of the main challenges when the wildfires happen is to access to freshwater sources. The aim of this research is to estimate the depth of groundwater stored in different surficial aquifers as the source of water to suppress the wildfires in the East part of Siak-Regency. Collecting the dataset using water level measurements in wells, 2D-resistivity, and ground-penetrating radar (GPR). These data were used to estimate the aquifer properties and provide additional information which can be used to identify optimal locations to install new groundwater wells. The research was conducted over a two-year period from 2016 to 2017. utilizing the resistivity method, GPR, and auger data all showed four easily identifiable subsurface layers. The surface soil in the study area is predominantly peat, with a depth ranging between 2m to 5.8m (bgs), resistivity values ranging from 80Ω-m to 100Ω- m, and EM velocities between 0.038m/ns and 0.048m/ns The sandy-clay loam is relatively impermeable and acts as a confining layer, with resistivity values between 40Ω-m to 80Ω- m. GPR signals in this confining layer are attenuated, The EM velocity values in the confining unit range between 0.12m/ns and 0.15m/ns. the auger was unable to penetrate further. Below the confining unit lies a sandy layer at depths between 8m and 14m (bgs) with resistivity values lower than 20Ω-m, the fourth layer was deeper than 16m (bgs), had resistivity values from 70 Ω-m-100Ω-m and was consistent with the Pleistocene clayey-gravels of the Kerumutan Formation (Qpke). The other results of our study indicate that the surface water from the studies area has quite a low PH (1.5 to 2.5), making them unsuitable for domestic use. Based on the results of this study is recommended that groundwater in the study area in eastern Siak Regency be screened in the confined aquifer, at a depth from approximately 8m to 12m.","PeriodicalId":197088,"journal":{"name":"2019 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131217411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-08-01DOI: 10.1109/AGERS48446.2019.9034446
A. Agustan, E. Kriswati
On December 22nd, 2018, the area around Sunda Strait was hit by a tsunami which had been associated by most scientists to the eruption of Mount Anak Krakatau. An image from Sentinel-1 satellite captured on December 23rd, 2018 western Indonesia time clearly showed that Mount Anak Krakatau had changed in shape. This article describes the use of Synthetic Aperture Radar (SAR) data that have been observed by Sentinel-1 satellite at 12-day temporal resolution to identify morphological changes of this volcano. In addition, interferometry method was used to identify ground deformation before and after the December 22nd eruption. The study collected and processed SAR data in ground range multi look detected (GRD) and slant range single look complex (SLC) products from June 2018 to May 2019. The result showed that Mount Anak Krakatau’s active period started in early December 2018 and could be classified into destructive and constructive phases. Based on Sentinel-1 image, the destructive phase was identified from December 23rd, 2018 to December 31st, 2018 while the constructive phase was identified from January 3rd, 2019 onward. Line of sight displacement derived from the interferogram indicated ground deformation before the active period and during constructive phase.
{"title":"Ground Deformation of Anak Krakatau Volcano Before and After the December 2018 Eruptions Observed by SAR Images","authors":"A. Agustan, E. Kriswati","doi":"10.1109/AGERS48446.2019.9034446","DOIUrl":"https://doi.org/10.1109/AGERS48446.2019.9034446","url":null,"abstract":"On December 22nd, 2018, the area around Sunda Strait was hit by a tsunami which had been associated by most scientists to the eruption of Mount Anak Krakatau. An image from Sentinel-1 satellite captured on December 23rd, 2018 western Indonesia time clearly showed that Mount Anak Krakatau had changed in shape. This article describes the use of Synthetic Aperture Radar (SAR) data that have been observed by Sentinel-1 satellite at 12-day temporal resolution to identify morphological changes of this volcano. In addition, interferometry method was used to identify ground deformation before and after the December 22nd eruption. The study collected and processed SAR data in ground range multi look detected (GRD) and slant range single look complex (SLC) products from June 2018 to May 2019. The result showed that Mount Anak Krakatau’s active period started in early December 2018 and could be classified into destructive and constructive phases. Based on Sentinel-1 image, the destructive phase was identified from December 23rd, 2018 to December 31st, 2018 while the constructive phase was identified from January 3rd, 2019 onward. Line of sight displacement derived from the interferogram indicated ground deformation before the active period and during constructive phase.","PeriodicalId":197088,"journal":{"name":"2019 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131260828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-08-01DOI: 10.1109/AGERS48446.2019.9034396
Purwadi, Bayu Hak, H. A. Belgaman, A. E. Sakya, Y. Takahashi, M. Sato, Tri Handoko Seto, Erwin Mulyana, F. Renggono
In the last 10 years, based on Indonesia’s National Disaster Management Agency (BNPB) data, the number of hydro-meteorological disasters have been increasing. These hydro-meteorological disasters mainly pertain to flood, landslide, wildfire, Small Scale Tornado (SST), among others. High intensity rainfall is an extreme weather condition that is considered as one of the causes of hydrological disasters. Previous researches have mentioned lightning as a good proxy for storm activity. This research aimed to develop an observation and prediction methodology for extreme weather events such as torrential rain based on the combination of continuous lightning measurement and on-demand by surface lightning detection network with remote sensing instrument, a micro-satellite owned by ASEAN countries and Japan. Indonesia already has a network of lightning detection devices that use Very Low Frequencies (VLF) but not too dense. This research will lead to a new methodology in hydro meteorological disaster mitigation, and strengthen and complement already operational extreme weather early warning systems.
{"title":"Conceptual Design of Extreme Weather Observation using Lightning Detection Network and Micro-Satellite for EWS over Indonesian Territory","authors":"Purwadi, Bayu Hak, H. A. Belgaman, A. E. Sakya, Y. Takahashi, M. Sato, Tri Handoko Seto, Erwin Mulyana, F. Renggono","doi":"10.1109/AGERS48446.2019.9034396","DOIUrl":"https://doi.org/10.1109/AGERS48446.2019.9034396","url":null,"abstract":"In the last 10 years, based on Indonesia’s National Disaster Management Agency (BNPB) data, the number of hydro-meteorological disasters have been increasing. These hydro-meteorological disasters mainly pertain to flood, landslide, wildfire, Small Scale Tornado (SST), among others. High intensity rainfall is an extreme weather condition that is considered as one of the causes of hydrological disasters. Previous researches have mentioned lightning as a good proxy for storm activity. This research aimed to develop an observation and prediction methodology for extreme weather events such as torrential rain based on the combination of continuous lightning measurement and on-demand by surface lightning detection network with remote sensing instrument, a micro-satellite owned by ASEAN countries and Japan. Indonesia already has a network of lightning detection devices that use Very Low Frequencies (VLF) but not too dense. This research will lead to a new methodology in hydro meteorological disaster mitigation, and strengthen and complement already operational extreme weather early warning systems.","PeriodicalId":197088,"journal":{"name":"2019 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125017778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-08-01DOI: 10.1109/AGERS48446.2019.9034301
J. A. I. Paski, I. J. A. Saragih, Donaldi S Permana, M. I. Hastuti, Aries Kristianto, E. Makmur
Land-sea breeze can generate the growth of convective clouds and rainfall that cause hydrometeorological disasters. Early identification of the diurnal cycle of convective activities can help in mitigating the impact of disasters. The eastern coast of North Sumatra is directly adjacent to the Malacca Strait that is suitable for the land-sea breeze model simulation. The land-sea breeze circulation affects the atmospheric dynamics. This study aimed to simulate the land-sea breeze circulation using the WRF model and analyzed its effect on the diurnal cycle of convective activity. The convective activity was identified using convective index, moisture transport, and rainfall distribution. ECMWF data from 2016 to 2017 were processed to determine the land-sea breeze rainy days based on Six Filtering Method and heavy rainfall definition. The Himawari-8 satellite data was used to calculate the convective index, and the specific humidity and wind from FNL data was used to calculate the moisture transport. The GSMaP rainfall data was used to depict the diurnal rainfall distribution over Sumatra. The prevailing sea breeze on the eastern coast of North Sumatra was the northeasterly wind. Sea breeze intrusion on the north coast of North Sumatra is characterized by a decrease in temperature, rising humidity, and easterly wind. Spatially, there is a time lag of about 1–2 hours from the peak convection to the formation of rainfall in the eastern coast region of North Sumatra. Peak diurnal rainfall in the eastern coast of North Sumatra generally occurs during midnight.
{"title":"Simulation of land-sea breeze effect on the diurnal cycle of convective activity in the Eastern Coast of North Sumatra using WRF model","authors":"J. A. I. Paski, I. J. A. Saragih, Donaldi S Permana, M. I. Hastuti, Aries Kristianto, E. Makmur","doi":"10.1109/AGERS48446.2019.9034301","DOIUrl":"https://doi.org/10.1109/AGERS48446.2019.9034301","url":null,"abstract":"Land-sea breeze can generate the growth of convective clouds and rainfall that cause hydrometeorological disasters. Early identification of the diurnal cycle of convective activities can help in mitigating the impact of disasters. The eastern coast of North Sumatra is directly adjacent to the Malacca Strait that is suitable for the land-sea breeze model simulation. The land-sea breeze circulation affects the atmospheric dynamics. This study aimed to simulate the land-sea breeze circulation using the WRF model and analyzed its effect on the diurnal cycle of convective activity. The convective activity was identified using convective index, moisture transport, and rainfall distribution. ECMWF data from 2016 to 2017 were processed to determine the land-sea breeze rainy days based on Six Filtering Method and heavy rainfall definition. The Himawari-8 satellite data was used to calculate the convective index, and the specific humidity and wind from FNL data was used to calculate the moisture transport. The GSMaP rainfall data was used to depict the diurnal rainfall distribution over Sumatra. The prevailing sea breeze on the eastern coast of North Sumatra was the northeasterly wind. Sea breeze intrusion on the north coast of North Sumatra is characterized by a decrease in temperature, rising humidity, and easterly wind. Spatially, there is a time lag of about 1–2 hours from the peak convection to the formation of rainfall in the eastern coast region of North Sumatra. Peak diurnal rainfall in the eastern coast of North Sumatra generally occurs during midnight.","PeriodicalId":197088,"journal":{"name":"2019 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126114501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-08-01DOI: 10.1109/AGERS48446.2019.9034326
H. Sanjaya, G. Suryono, A. Eugenie, M. N. Putri, M. Frederik, A. Agustan, O. B. Bintoro, Heri Sadmono
A system named Fire Danger Rating System is a tool using for early warning system of forest fires. Since 1999 Indonesia has this system, adapted from Canadian Forest Service (CFS), and developed by BPPT cooperation with BMG (now is BMKG), and Departemen Kehutanan (KLHK). The main scientific based of this FDRS is meteorology, where it used total precipitation in a day, and noon condition of temperature, relative humidity, and wind speed. The final result is the Fire Weather Index where we may see the four classes of fire danger rating in two-dimension map. The improvement on this weather component is the use of satellite data to replace some parameter of weather from Automatic Weather Station data. In recent condition, not only weather condition as the primary parameter, but also the human-caused factor, and fuels condition analysis were putting as the same level of weather. Human activities are the main factor of the occurrence of forest fires, that is why the forest, plantation, and horticulture-agriculture land are the main land use that we pay attention more, and it’s related to the people who live on small cities or districts in that areas. The condition of peatland we analyzed is the thickness of the peat and the land cover on the surface. The position of water body also we calculated to see the distance of the source of water for wetting the land. Using Spatial Multi-Criteria Evaluation is the right way to get some scenarios to have the final composite risk map. Grouping and standardizing the spatial factors based on human-caused and fuels we may know the effect of that component to the final composite map of the Advanced-FDRS. Ina-FDRS is the biggest scenario that includes Natural Resources Accounting as one of the main components, instead of climate, human-caused, and fuels. So, this Advanced-FDRS is the main part of Ina-FDRS (Indonesia Fire Danger Rating System) that ongoing develop by BPPT and the stakeholders for early warning land and forest fire in peatland in Indonesia.
{"title":"Indonesia Fire Danger Rating System (Ina-FDRS), a New Algorithm for the Fire Prevention in Indonesia","authors":"H. Sanjaya, G. Suryono, A. Eugenie, M. N. Putri, M. Frederik, A. Agustan, O. B. Bintoro, Heri Sadmono","doi":"10.1109/AGERS48446.2019.9034326","DOIUrl":"https://doi.org/10.1109/AGERS48446.2019.9034326","url":null,"abstract":"A system named Fire Danger Rating System is a tool using for early warning system of forest fires. Since 1999 Indonesia has this system, adapted from Canadian Forest Service (CFS), and developed by BPPT cooperation with BMG (now is BMKG), and Departemen Kehutanan (KLHK). The main scientific based of this FDRS is meteorology, where it used total precipitation in a day, and noon condition of temperature, relative humidity, and wind speed. The final result is the Fire Weather Index where we may see the four classes of fire danger rating in two-dimension map. The improvement on this weather component is the use of satellite data to replace some parameter of weather from Automatic Weather Station data. In recent condition, not only weather condition as the primary parameter, but also the human-caused factor, and fuels condition analysis were putting as the same level of weather. Human activities are the main factor of the occurrence of forest fires, that is why the forest, plantation, and horticulture-agriculture land are the main land use that we pay attention more, and it’s related to the people who live on small cities or districts in that areas. The condition of peatland we analyzed is the thickness of the peat and the land cover on the surface. The position of water body also we calculated to see the distance of the source of water for wetting the land. Using Spatial Multi-Criteria Evaluation is the right way to get some scenarios to have the final composite risk map. Grouping and standardizing the spatial factors based on human-caused and fuels we may know the effect of that component to the final composite map of the Advanced-FDRS. Ina-FDRS is the biggest scenario that includes Natural Resources Accounting as one of the main components, instead of climate, human-caused, and fuels. So, this Advanced-FDRS is the main part of Ina-FDRS (Indonesia Fire Danger Rating System) that ongoing develop by BPPT and the stakeholders for early warning land and forest fire in peatland in Indonesia.","PeriodicalId":197088,"journal":{"name":"2019 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132297352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-08-01DOI: 10.1109/AGERS48446.2019.9034423
Yudi Adityawarman, J. Matondang, R. Arifandri
Weather and air quality observation recently gained more public awareness. Recent advances in wireless sensor network technologies are fueled by latest advances in microcontrollers and radio transceivers. Efforts have been made to create low-cost open sourced environmental sensor stations and Internet of Things provide open standard protocol that can easily be integrated with various legacy open source systems. This paper proposes the usage of open standard wireless telemetry network based on Automatic Packet Reporting System (APRS) and Messaging Queue Telemetry Transport (MQTT). Integration of an IoT platform with legacy telemetry network is demonstrated and preliminary results show that the integrated platform solution is easy to implement.
{"title":"Open Source Environmental Sensor Integrated Platform Solution Based on APRS and MQTT","authors":"Yudi Adityawarman, J. Matondang, R. Arifandri","doi":"10.1109/AGERS48446.2019.9034423","DOIUrl":"https://doi.org/10.1109/AGERS48446.2019.9034423","url":null,"abstract":"Weather and air quality observation recently gained more public awareness. Recent advances in wireless sensor network technologies are fueled by latest advances in microcontrollers and radio transceivers. Efforts have been made to create low-cost open sourced environmental sensor stations and Internet of Things provide open standard protocol that can easily be integrated with various legacy open source systems. This paper proposes the usage of open standard wireless telemetry network based on Automatic Packet Reporting System (APRS) and Messaging Queue Telemetry Transport (MQTT). Integration of an IoT platform with legacy telemetry network is demonstrated and preliminary results show that the integrated platform solution is easy to implement.","PeriodicalId":197088,"journal":{"name":"2019 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115596353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-08-01DOI: 10.1109/AGERS48446.2019.9034351
A. Julzarika, Harintaka
DEMNAS is a combination of multi DEM from TerraSAR-X, IFSAR, ALOS PALSAR, and mass point. It has a spatial resolution 8 m. The problem that arises now is whether the DEMNAS is in the form of DSM or DTM. This study aims to obtain information related to whether the DEMNAS is in the form of DSM or DTM. This research involved data from DSM LIDAR, DTM LIDAR, and DSM SRTM to see comparisons with DEMNAS in the South Kalimantan region. In addition, it also examines the comparison of DEMNAS with DSM IFSAR, DTM IFSAR, and DSM SRTM in the Central Java region. The way that is done is that all these DEMs are equated with height reference fields to EGM2008. The next process is to extract height points on the polygons created in each DEM used in this study. After that, it is done profiller in the form of making a height profile pattern for each DEM. The results obtained were in the form of known DEM that had height errors, height differences in reference fields, and the form of DEMNAS. The form of DEMNAS in the South Kalimantan region is dominated by DSM rather than the DTM. In the Central Java region, the form of DEMNAS is not in the form of DSM and DTM. The use of DEMNAS for certain applications should be considered in the form of DEM whether in the form of DSM, DTM, or not both of them.
{"title":"Indonesian DEMNAS: DSM or DTM?","authors":"A. Julzarika, Harintaka","doi":"10.1109/AGERS48446.2019.9034351","DOIUrl":"https://doi.org/10.1109/AGERS48446.2019.9034351","url":null,"abstract":"DEMNAS is a combination of multi DEM from TerraSAR-X, IFSAR, ALOS PALSAR, and mass point. It has a spatial resolution 8 m. The problem that arises now is whether the DEMNAS is in the form of DSM or DTM. This study aims to obtain information related to whether the DEMNAS is in the form of DSM or DTM. This research involved data from DSM LIDAR, DTM LIDAR, and DSM SRTM to see comparisons with DEMNAS in the South Kalimantan region. In addition, it also examines the comparison of DEMNAS with DSM IFSAR, DTM IFSAR, and DSM SRTM in the Central Java region. The way that is done is that all these DEMs are equated with height reference fields to EGM2008. The next process is to extract height points on the polygons created in each DEM used in this study. After that, it is done profiller in the form of making a height profile pattern for each DEM. The results obtained were in the form of known DEM that had height errors, height differences in reference fields, and the form of DEMNAS. The form of DEMNAS in the South Kalimantan region is dominated by DSM rather than the DTM. In the Central Java region, the form of DEMNAS is not in the form of DSM and DTM. The use of DEMNAS for certain applications should be considered in the form of DEM whether in the form of DSM, DTM, or not both of them.","PeriodicalId":197088,"journal":{"name":"2019 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127443621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-08-01DOI: 10.1109/AGERS48446.2019.9034458
W. Windupranata, G. Aristawati, N. Hanifa, C. Nusantara
Indonesia is located in and surrounded by areas that have active plate movements, making its coastal and marine areas prone to tsunami, and creating negative impacts, such as damage to properties and increase in death rates. One of these areas is the coastal area in Pangandaran Regency, West Java. This study aimed to analyze the level of building vulnerability and impact of losses as a result of tsunami. The research method combined data of buildings that have been classified based on their type and uses with data of inundation caused by tsunami and coefficient of Damage Ratio. The study results showed that the type of buildings in the tourism area of Pangandaran Regency is dominated by 1-story permanent buildings (P1), in which 2,050 out of 3,103 buildings were identified as residences and businesses. In general, based on the coefficient of Damage Ratio in the tourism area of Pangandaran Regency, vulnerability level of buildings is within 51%–70%, which is considerably high and indicates that the buildings could suffer heavy damage if they are hit by tsunami. The tourism industry in the area lost 700 million rupiahs and fisheries industry lost 6.055 billion rupiahs due to the 2016 tsunami. Eight hotel/resort buildings have been recommended as temporary evacuation sites or shelter in the event of a tsunami.
{"title":"Vulnerability Mapping of Tsunami Inundation Hazard at The Tourism Area of Pangandaran, West Java","authors":"W. Windupranata, G. Aristawati, N. Hanifa, C. Nusantara","doi":"10.1109/AGERS48446.2019.9034458","DOIUrl":"https://doi.org/10.1109/AGERS48446.2019.9034458","url":null,"abstract":"Indonesia is located in and surrounded by areas that have active plate movements, making its coastal and marine areas prone to tsunami, and creating negative impacts, such as damage to properties and increase in death rates. One of these areas is the coastal area in Pangandaran Regency, West Java. This study aimed to analyze the level of building vulnerability and impact of losses as a result of tsunami. The research method combined data of buildings that have been classified based on their type and uses with data of inundation caused by tsunami and coefficient of Damage Ratio. The study results showed that the type of buildings in the tourism area of Pangandaran Regency is dominated by 1-story permanent buildings (P1), in which 2,050 out of 3,103 buildings were identified as residences and businesses. In general, based on the coefficient of Damage Ratio in the tourism area of Pangandaran Regency, vulnerability level of buildings is within 51%–70%, which is considerably high and indicates that the buildings could suffer heavy damage if they are hit by tsunami. The tourism industry in the area lost 700 million rupiahs and fisheries industry lost 6.055 billion rupiahs due to the 2016 tsunami. Eight hotel/resort buildings have been recommended as temporary evacuation sites or shelter in the event of a tsunami.","PeriodicalId":197088,"journal":{"name":"2019 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114878004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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