Padang City waters are one of the waters that have very promising potential for fishermen. This study aims to obtain potential areas for catching large pelagic fish which are analyzed using fashionable image data of chlorophyll a and SST. This research was carried out in November 2021. This research covered the period June, July and August, on June 9 potential zones for large pelagic fish were scattered, based on the distribution of potential large pelagic fish zones a distance of beat tween 1,000 meters to 5,000 resulted in 5 zones of potenzones for large pelagic fish and a distance of 1,000 meters to 10,000 or sea II produces 4 zones indicating the potential for large pelagic fish. In July the potential zone for large pelagic fish increased by 14 potential zones for large pelagic fish from a distance of 5. As a result, the distribution of sea surface temperature increases every month and the distribution of chlorophyll tends to crease. Based on the results of the interpolation of the potential for large pelagic fish, August is a month that has the potential for large pelagic fish catching zones, in the distribution of potential fish zones in the waters of Padang City, the average sea depth is between 10 meters and 50 meters. Based on tests of the accuracy of the distribution of fishing vessels in the waters of the City of Padang, only 5,000 meters from the shoreline, this has resulted in fewer fisherfewerbeing able to explore the potential spread across the waters of the City of Padang because there are no ships with engines with tonnage or wide cruising to be able to explore existing the potential.
{"title":"MAPPING OF PELAGIC FISHING POTENTIALS USING SINGLE IMAGE EDGE DETECTION (SIED) AND TEMPERATURE GRADIENT ANALYSIS (TGA) IN THE WATERS OF PADANG CITY","authors":"Rahmad Triadi Akbar, S. Putri","doi":"10.24036/irsaj.v1i2.15","DOIUrl":"https://doi.org/10.24036/irsaj.v1i2.15","url":null,"abstract":"Padang City waters are one of the waters that have very promising potential for fishermen. This study aims to obtain potential areas for catching large pelagic fish which are analyzed using fashionable image data of chlorophyll a and SST. This research was carried out in November 2021. This research covered the period June, July and August, on June 9 potential zones for large pelagic fish were scattered, based on the distribution of potential large pelagic fish zones a distance of beat tween 1,000 meters to 5,000 resulted in 5 zones of potenzones for large pelagic fish and a distance of 1,000 meters to 10,000 or sea II produces 4 zones indicating the potential for large pelagic fish. In July the potential zone for large pelagic fish increased by 14 potential zones for large pelagic fish from a distance of 5. As a result, the distribution of sea surface temperature increases every month and the distribution of chlorophyll tends to crease. Based on the results of the interpolation of the potential for large pelagic fish, August is a month that has the potential for large pelagic fish catching zones, in the distribution of potential fish zones in the waters of Padang City, the average sea depth is between 10 meters and 50 meters. Based on tests of the accuracy of the distribution of fishing vessels in the waters of the City of Padang, only 5,000 meters from the shoreline, this has resulted in fewer fisherfewerbeing able to explore the potential spread across the waters of the City of Padang because there are no ships with engines with tonnage or wide cruising to be able to explore existing the potential.","PeriodicalId":272417,"journal":{"name":"International Remote Sensing Applied Journal","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132170419","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}
Tanjung Harapan District is the district with the highest population density, which is 1,223 people/km². Thus the total population of the number of residential areas increased. This increase in population has had an impact on increasing the need for land for housing, thus affecting the quality of settlements. This study aims to determine the level of quality of settlements in Tanjung Harapan District, Solok City. The method used is weighting (scoring) and Overlay to combine all settlement quality parameters. The results obtained are a map of the quality level of settlements in Tanjung Harapan District which has three classifications, namely good class with an area of 74 Ha, medium class with an area of 69 Ha, and bad class with an area of 83 Ha.
Tanjung Harapan区是人口密度最高的地区，为1,223人/平方公里。这样居住区的人口总数就增加了。人口的增加对住房用地需求的增加产生了影响，从而影响了住区的质量。本研究旨在确定索洛克市丹绒哈拉潘区住区的质量水平。采用加权(评分)和叠加的方法将所有沉降质量参数结合起来。所获得的结果是Tanjung Harapan区居民点质量水平的地图，该地图有三个分类，即好类，面积为74公顷，中等类，面积为69公顷，差类，面积为83公顷。
{"title":"Utilization of SPOT Image for Settlement Quality Study in Tanjung Harapan District, Solok City","authors":"Trisna Dwi Yuliana","doi":"10.24036/irsaj.v1i2.16","DOIUrl":"https://doi.org/10.24036/irsaj.v1i2.16","url":null,"abstract":"Tanjung Harapan District is the district with the highest population density, which is 1,223 people/km². Thus the total population of the number of residential areas increased. This increase in population has had an impact on increasing the need for land for housing, thus affecting the quality of settlements. This study aims to determine the level of quality of settlements in Tanjung Harapan District, Solok City. The method used is weighting (scoring) and Overlay to combine all settlement quality parameters. The results obtained are a map of the quality level of settlements in Tanjung Harapan District which has three classifications, namely good class with an area of 74 Ha, medium class with an area of 69 Ha, and bad class with an area of 83 Ha.","PeriodicalId":272417,"journal":{"name":"International Remote Sensing Applied Journal","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126880010","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}
This forest resource balance mapping aims to (1) determine changes in the area of forest resources in the XI Tarusan sub-district, Pesisir Selatan Regency; (2) find out the forest balance in XI Tarusan District, Pesisir Selatan District; (3) determine the accuracy of Landsat 8 imagery for preparing forest resource balances. The method used in mapping the balance of forest resources is by carrying out a supervised classification for land use and land cover. Then the data is overlaid using a two-dimensional matrix approach. Furthermore, the data is analyzed using a Geographic Information System which provides spatial information to be able to present data in map form. The results of this study are changes in the area of forest resources in XI Tarusan District, Pesisir Selatan District, which is 28.62 Ha.,and the accuracy of the Landsat 8 image obtained in the preparation of this forest resource is 91.66%.
{"title":"APPLICATION OF REMOTE SENSING AND GEOGRAPHICAL INFORMATION SYSTEM FOR FOREST RESOURCES BALANCE MAPPINGIN THE TARUSAN SUB-DAS, PESISIR SELATAN DISTRICT","authors":"Rizik Fadel Muhammad Hasan, Dilla Angraina","doi":"10.24036/irsaj.v1i2.18","DOIUrl":"https://doi.org/10.24036/irsaj.v1i2.18","url":null,"abstract":"This forest resource balance mapping aims to (1) determine changes in the area of forest resources in the XI Tarusan sub-district, Pesisir Selatan Regency; (2) find out the forest balance in XI Tarusan District, Pesisir Selatan District; (3) determine the accuracy of Landsat 8 imagery for preparing forest resource balances. The method used in mapping the balance of forest resources is by carrying out a supervised classification for land use and land cover. Then the data is overlaid using a two-dimensional matrix approach. Furthermore, the data is analyzed using a Geographic Information System which provides spatial information to be able to present data in map form. The results of this study are changes in the area of forest resources in XI Tarusan District, Pesisir Selatan District, which is 28.62 Ha.,and the accuracy of the Landsat 8 image obtained in the preparation of this forest resource is 91.66%.","PeriodicalId":272417,"journal":{"name":"International Remote Sensing Applied Journal","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125011218","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}
Remote sensing is a technology that can overcome data measurement problems for fast and accurate information. This research was carried out in Pariaman City using Landsat 8-OLI imagery with the aim of 1) knowing the identification of land cover based on the classification SNI:7645 (2014) based on Landsat 8-OLI imagery in the Pariaman City area in 2020 2) knowing the identification of surface temperature in the Pariaman City area in 2020. The research was conducted in serval stages, namely pre-processing of image data, selecting band combinations, cutting area studies, image classification, and testing accuracy. At surface temperature using Landsat 8-OLI imagery in 2020, surface temperature values are obtained from the results of thermal band processing. The results of the classification of Landsat 8-OLI images in Pariaman City produce 5 land cover classes, namely water bodies, rice fields, settlements, mixed gardens, and shrubs. This research conducted a classification accuracy test using a confusion matrix accuracy test table. Land cover supervised maximum likelihood method the overall accuracy value is 86.66 %. The results of the surface temperature value in Pariaman City in 2020 obtained the highest temperature value of 30ºC and the lowest surface temperature of 23ºC.
{"title":"IDENTIFICATION OF LAND COVER OF SURFACE TEMPERATURE IN KOTA PARIAMAN USING LANDSAT IMAGERY 8-OLI","authors":"Dedek Putri Bungsu, D. Arif","doi":"10.24036/irsaj.v2i1.19","DOIUrl":"https://doi.org/10.24036/irsaj.v2i1.19","url":null,"abstract":"Remote sensing is a technology that can overcome data measurement problems for fast and accurate information. This research was carried out in Pariaman City using Landsat 8-OLI imagery with the aim of 1) knowing the identification of land cover based on the classification SNI:7645 (2014) based on Landsat 8-OLI imagery in the Pariaman City area in 2020 2) knowing the identification of surface temperature in the Pariaman City area in 2020. The research was conducted in serval stages, namely pre-processing of image data, selecting band combinations, cutting area studies, image classification, and testing accuracy. At surface temperature using Landsat 8-OLI imagery in 2020, surface temperature values are obtained from the results of thermal band processing. The results of the classification of Landsat 8-OLI images in Pariaman City produce 5 land cover classes, namely water bodies, rice fields, settlements, mixed gardens, and shrubs. This research conducted a classification accuracy test using a confusion matrix accuracy test table. Land cover supervised maximum likelihood method the overall accuracy value is 86.66 %. The results of the surface temperature value in Pariaman City in 2020 obtained the highest temperature value of 30ºC and the lowest surface temperature of 23ºC.","PeriodicalId":272417,"journal":{"name":"International Remote Sensing Applied Journal","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126420265","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}
This study illustrates the growth model of Jambi City until 2035 supported by several driving factors derived from human activities and patterns of movement. Sampling based on the administrative Area of Interest (AOI) of Jambi City. Sources of data obtained from relevant agencies and remote sensing imagery (Landsat Image). Analysis of research data using demographic analysis, GIS, Cellular Automata and statistics. The results showed that there was a change in land cover during the predictions between 2016-2035; Judging from the growth of settlements, each year it is increasingly referring to the expansion diffusion model with concentric shapes through Cellular Automata modeling. Settlements will always grow in the Central Business District, namely Pasar Jambi District and Jelutung District and South Jambi District will further develop in 2035.
{"title":"MODEL OF GROWTH OF SETTLEMENT AREAS IN JAMBI CITY","authors":"Cahyadi Nugroho, Nismawati Nismawati","doi":"10.24036/irsaj.v1i1.12","DOIUrl":"https://doi.org/10.24036/irsaj.v1i1.12","url":null,"abstract":"This study illustrates the growth model of Jambi City until 2035 supported by several driving factors derived from human activities and patterns of movement. Sampling based on the administrative Area of Interest (AOI) of Jambi City. Sources of data obtained from relevant agencies and remote sensing imagery (Landsat Image). Analysis of research data using demographic analysis, GIS, Cellular Automata and statistics. The results showed that there was a change in land cover during the predictions between 2016-2035; Judging from the growth of settlements, each year it is increasingly referring to the expansion diffusion model with concentric shapes through Cellular Automata modeling. Settlements will always grow in the Central Business District, namely Pasar Jambi District and Jelutung District and South Jambi District will further develop in 2035.","PeriodicalId":272417,"journal":{"name":"International Remote Sensing Applied Journal","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126660993","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}
The application of remote sensing to obtain better quality and up to date maps is needs to be done through the utilization of lithology and geomorphology in mapping of Padang city. This study aims to obtain a lithological and geomorphological picture of the appearance of Landsat-8 OLI Composite 567 satellite imagery. The research method was carried out by image interpretation data preparation. The results showed the city of Padang has 2 units of landforms from visual interpretation, namely fluvial and denudational landforms. Lithology identification in Padang using geological imagery and maps as a reference succeeds to acquire geological and lithological units, namely: Alluvial Fan which is smooth texture, lowland topography, hue and color is bright, parallel river flow patterns, sparse vegetation, river area associations. Non-decomposed flow texture is rather rough, hilly topography, hue and color is dark, radial river flow patterns, dense vegetation, associated with forests. Andesite has a rather rough texture, highland topography, hue and color is dark, radial river flow patterns, dense vegetation, associated with mountainous terrain. Alluvial is found in coastal areas, lakes and sandy areas, fine texture, lowland topography, alongside large rivers with valley, has a bright color and hue, its flow patterns are parallel, sparse vegetation, river area associations. Hardened Crystal Tuff with a rather rough texture, topography in mountainous areas, hues and color is dark, radial river flow patterns, dense vegetation, hill area associations. Volcanic Rock has a rough texture, high terrain topography, has dark colors and hues, radial river flow patterns, has dense vegetation, and is associated with mountains.
{"title":"IDENTIFICATION OF GEOMORPHOLOGY AND LITOLOGY BASED ON ANALYSIS OF LANDSAT-8 SATELLITE IMAGES IN PADANG CITY","authors":"Dewi Ramadhan, S. Putri","doi":"10.24036/irsaj.v1i1.10","DOIUrl":"https://doi.org/10.24036/irsaj.v1i1.10","url":null,"abstract":"The application of remote sensing to obtain better quality and up to date maps is needs to be done through the utilization of lithology and geomorphology in mapping of Padang city. This study aims to obtain a lithological and geomorphological picture of the appearance of Landsat-8 OLI Composite 567 satellite imagery. The research method was carried out by image interpretation data preparation. The results showed the city of Padang has 2 units of landforms from visual interpretation, namely fluvial and denudational landforms. Lithology identification in Padang using geological imagery and maps as a reference succeeds to acquire geological and lithological units, namely: Alluvial Fan which is smooth texture, lowland topography, hue and color is bright, parallel river flow patterns, sparse vegetation, river area associations. Non-decomposed flow texture is rather rough, hilly topography, hue and color is dark, radial river flow patterns, dense vegetation, associated with forests. Andesite has a rather rough texture, highland topography, hue and color is dark, radial river flow patterns, dense vegetation, associated with mountainous terrain. Alluvial is found in coastal areas, lakes and sandy areas, fine texture, lowland topography, alongside large rivers with valley, has a bright color and hue, its flow patterns are parallel, sparse vegetation, river area associations. Hardened Crystal Tuff with a rather rough texture, topography in mountainous areas, hues and color is dark, radial river flow patterns, dense vegetation, hill area associations. Volcanic Rock has a rough texture, high terrain topography, has dark colors and hues, radial river flow patterns, has dense vegetation, and is associated with mountains.","PeriodicalId":272417,"journal":{"name":"International Remote Sensing Applied Journal","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126678301","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}
Fishermen's understanding of oceanographic parameters, especially sea surface temperature conditions and chlorophyll-a concentration in the process of determining fishing operations are still very low. The cause is the constraints of technology and human resources, and not widely available data and information on fisheries resources, including their parameters. Remote sensing technology is one solution that can be used to understand the spatial and temporal conditions of great waters. This research was conducted in the waters of the Pesisir Selatan Regency with the aim to : 1) measure and map the spatial and temporal variability of sea surface temperature in 2013, 2) measure and map the spatial and temporal variability of chlorophyll-a concentration in 2011-2013, 3) measure the relationship between sea surface temperature with the concentration of chlorophyll-a. This study uses a quantitative approach using analysis desk metode. The results showed that: 1) sea surface temperature mean highest monthly throughout the year occurred in the first transitional season between March and May, where sea surface temperatures reach more than 31 0C, 2) Chlorophyll-a concentration between 2011 to 2013 was highest in the east of the season and second in the transitional seasons are concentrated in the area of the waters region of Linggo Sari Baganti Regencys to Silaut Regencys, 3) Sea surface temperature is strongly influencing the concentration of chlorophyll-a, regression coefficient (r) of 0.811, Relationships sea surface temperatures mean monthly negatively correlated, with each increase of 1 0C of the sea surface temperature caused a decrease in chlorophyll-a concentration of 0.176 mg/m3.
渔民在决定捕捞作业过程中对海洋参数，特别是海面温度条件和叶绿素-a浓度的了解仍然很低。原因是技术和人力资源的限制，以及没有广泛获得关于渔业资源的数据和资料，包括其参数。遥感技术是一种解决方案，可以用来了解大水域的空间和时间条件。本研究以塞拉坦省Pesisir Selatan reggency海域为研究对象，旨在:1)测量并绘制2013年海表温度的时空变异性;2)测量并绘制2011-2013年海表叶绿素-a浓度的时空变异性;3)测量海表温度与叶绿素-a浓度的关系。本研究采用分析台方法进行定量分析。结果表明:(1)全年平均海温最高的月份出现在第一个过渡季的3 ~ 5月，海温最高达310℃以上;(2)2011 ~ 2013年期间，叶绿素-a浓度在过渡季东部最高，其次集中在Linggo Sari Baganti Regencys至Silaut Regencys海域。(3)海温对叶绿素-a浓度有较强的影响，回归系数(r)为0.811，关系海温月平均呈负相关，海温每升高1℃，叶绿素-a浓度降低0.176 mg/m3。
{"title":"SPATIAL AND TEMPORAL VARIABILITY OF SEA SURFACE TEMPERATURE AND CHLOROPHYLL-A ACCORDING TO THE SEASON IN PESISIR SELATAN REGENCY WATERS WITH AQUA-MODIS IMAGERY","authors":"H. Saputra","doi":"10.24036/irsaj.v1i1.13","DOIUrl":"https://doi.org/10.24036/irsaj.v1i1.13","url":null,"abstract":"Fishermen's understanding of oceanographic parameters, especially sea surface temperature conditions and chlorophyll-a concentration in the process of determining fishing operations are still very low. The cause is the constraints of technology and human resources, and not widely available data and information on fisheries resources, including their parameters. Remote sensing technology is one solution that can be used to understand the spatial and temporal conditions of great waters. This research was conducted in the waters of the Pesisir Selatan Regency with the aim to : 1) measure and map the spatial and temporal variability of sea surface temperature in 2013, 2) measure and map the spatial and temporal variability of chlorophyll-a concentration in 2011-2013, 3) measure the relationship between sea surface temperature with the concentration of chlorophyll-a. This study uses a quantitative approach using analysis desk metode. The results showed that: 1) sea surface temperature mean highest monthly throughout the year occurred in the first transitional season between March and May, where sea surface temperatures reach more than 31 0C, 2) Chlorophyll-a concentration between 2011 to 2013 was highest in the east of the season and second in the transitional seasons are concentrated in the area of the waters region of Linggo Sari Baganti Regencys to Silaut Regencys, 3) Sea surface temperature is strongly influencing the concentration of chlorophyll-a, regression coefficient (r) of 0.811, Relationships sea surface temperatures mean monthly negatively correlated, with each increase of 1 0C of the sea surface temperature caused a decrease in chlorophyll-a concentration of 0.176 mg/m3.","PeriodicalId":272417,"journal":{"name":"International Remote Sensing Applied Journal","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122229412","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}
This study aims to analyze the level of coastal abrasion vulnerability in sub-district Bungus Teluk Kabung of Padang City. This type of research is mixed method. The type of data is primary data and secondary data. The primary data obtained from research questionnaires and field observations using interview guidelines while the secondary data consists of identification of critical beaches in West Sumatra, Disaster Event Data, Reports on coastal abrasion disasters, Statistics of sub-district Bungus Teluk Kabung, The technique of analyzing the level of vulnerability of coastal abrasion disaster uses secondary data analysis from the map of coastal abrasion disaster vulnerability from BNPB which refers to the General Guidelines for Disaster Risk Assessment, PERKA BNPB No. 2 of 2012. The vulnerability index scale is divided into 3 categories: low, moderate, high. The results showed that the level of coastal abrasion vulnerability in sub-district Bungus Teluk Kabung was classified into the low category with a vulnerability score of 0.0-0.25, moderate with a vulnerability score of 0.25-0.54 and high which scores between 0.54 - 0.75. Physical vulnerability in all of villages of sub-district Bungus Teluk Kabung is come under low category. Social vulnerability is low and moderate. Environmental vulnerability in the moderate category and economic vulnerability in the high category
{"title":"COASTAL ABRASION VULNERABILITY IN SUB-DISTRICT BUNGUS TELUK KABUNG KOTA PADANG","authors":"S. Putri, Dewi Ramadhan","doi":"10.24036/irsaj.v1i1.11","DOIUrl":"https://doi.org/10.24036/irsaj.v1i1.11","url":null,"abstract":"This study aims to analyze the level of coastal abrasion vulnerability in sub-district Bungus Teluk Kabung of Padang City. This type of research is mixed method. The type of data is primary data and secondary data. The primary data obtained from research questionnaires and field observations using interview guidelines while the secondary data consists of identification of critical beaches in West Sumatra, Disaster Event Data, Reports on coastal abrasion disasters, Statistics of sub-district Bungus Teluk Kabung, The technique of analyzing the level of vulnerability of coastal abrasion disaster uses secondary data analysis from the map of coastal abrasion disaster vulnerability from BNPB which refers to the General Guidelines for Disaster Risk Assessment, PERKA BNPB No. 2 of 2012. The vulnerability index scale is divided into 3 categories: low, moderate, high. The results showed that the level of coastal abrasion vulnerability in sub-district Bungus Teluk Kabung was classified into the low category with a vulnerability score of 0.0-0.25, moderate with a vulnerability score of 0.25-0.54 and high which scores between 0.54 - 0.75. Physical vulnerability in all of villages of sub-district Bungus Teluk Kabung is come under low category. Social vulnerability is low and moderate. Environmental vulnerability in the moderate category and economic vulnerability in the high category","PeriodicalId":272417,"journal":{"name":"International Remote Sensing Applied Journal","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114371495","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}
This study aims to answer the question: is there a correlation between earthquake events due to Benioff zone activity with earthquake events due to shallow local cesarean activity? Using a spatial statistical local moran, krigging, and kernel density approach to the distribution of 1973 – 2018 earthquake occurrences in the central region of Sumatra, it was found that there was a connection between earthquake events due to Benioff zone activity and earthquake events due to shallow local cesarean activity. The earthquake activity between the Mentawai Islands and the coast of West Sumatera - Bengkulu was more caused by local cesarean activity with superficial hypocenter.
{"title":"CHARACTERISTICS OF TECTONIC EARTHQUAKE SUMATERA","authors":"Yudi Antomi","doi":"10.24036/irsaj.v1i1.4","DOIUrl":"https://doi.org/10.24036/irsaj.v1i1.4","url":null,"abstract":"This study aims to answer the question: is there a correlation between earthquake events due to Benioff zone activity with earthquake events due to shallow local cesarean activity? Using a spatial statistical local moran, krigging, and kernel density approach to the distribution of 1973 – 2018 earthquake occurrences in the central region of Sumatra, it was found that there was a connection between earthquake events due to Benioff zone activity and earthquake events due to shallow local cesarean activity. The earthquake activity between the Mentawai Islands and the coast of West Sumatera - Bengkulu was more caused by local cesarean activity with superficial hypocenter.","PeriodicalId":272417,"journal":{"name":"International Remote Sensing Applied Journal","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125897582","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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