Jambura Geoscience Review最新文献_第4页

Ekstraksi Perubahan Tutupan Vegetasi Di Kabupaten Gorontalo Menggunakan Google Earth Engine

Jambura Geoscience Review Pub Date : 2021-12-30 DOI: 10.34312/jgeosrev.v4i1.12086

Rakhmat Jaya Lahay, Syahrizal Koem

{"title":"Ekstraksi Perubahan Tutupan Vegetasi Di Kabupaten Gorontalo Menggunakan Google Earth Engine","authors":"Rakhmat Jaya Lahay, Syahrizal Koem","doi":"10.34312/jgeosrev.v4i1.12086","DOIUrl":"https://doi.org/10.34312/jgeosrev.v4i1.12086","url":null,"abstract":"Monitoring changes in vegetation cover is important for the restoration of ecosystems in the Gorontalo Regency area. The utilization of remote sensing technology makes it possible to detect the dynamics of changes in vegetation cover spatially and temporally. The Terra MODIS satellite image collection in the study area is available in large numbers and sizes. Therefore, cloud computing-based spatial technology support is needed. Google Earth Engine (GEE) as a geospatial computing device is an alternative to cover this shortfall. The aim of this study is to explore the condition of vegetation cover spatially and temporally using the GEE platform. A total of 43 MODIS images in the study area, recording periods 2000 and 2020, were used to quickly and effectively generate vegetation cover maps. The process of downloading, processing, and analyzing data was automated through the GEE interface. The results of the mapping in 2000 and 2020 are shown by maps of vegetation cover in two classes, namely; vegetation and non-vegetation. The accuracy of the vegetation cover map shows good results, namely an overall accuracy of 0.81 for 2000 and 0.85 for 2020. The area of the non-vegetation class increased by 2815.29 ha, and the vegetation class decreased by 2767.31 ha. The map of spatial changes in vegetation cover in the study area is classified into three classes, namely revegetation, devegetation, and unchanged. Based on these results, the extraction of vegetation cover changes in the study area using the GEE platform can be carried out well.","PeriodicalId":34761,"journal":{"name":"Jambura Geoscience Review","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44486996","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}

引用次数: 0

Pemetaan Distribusi Mangrove Menggunakan Citra Sentinel-2A: Studi Kasus Kota Langsa Mangrove地图采用了哨兵- 2a图像:朗萨市案例研究

Jambura Geoscience Review Pub Date : 2021-12-16 DOI: 10.34312/jgeosrev.v4i1.11380

M. Rahmadi, Eni Yuniastuti, Maulana Abdul Hakim, Ayu Suciani

{"title":"Pemetaan Distribusi Mangrove Menggunakan Citra Sentinel-2A: Studi Kasus Kota Langsa","authors":"M. Rahmadi, Eni Yuniastuti, Maulana Abdul Hakim, Ayu Suciani","doi":"10.34312/jgeosrev.v4i1.11380","DOIUrl":"https://doi.org/10.34312/jgeosrev.v4i1.11380","url":null,"abstract":"Mangroves are one of the most productive ecosystems for human life, marine ecosystems, and coastal areas. Mangrove distribution is a distribution based on specific geographical or administrative boundaries. Kota Langsa is one of the areas that has a good representation of the distribution of mangroves. Therefore, researchers studied the Kota Langsa area because Kota Langsa is one of the areas with the largest and most diverse mangrove ecosystem in Aceh Province. This study examines the mapping of mangrove distribution using Sentinel-2A multispectral imagery with composite images of Red, Green, and Blue. This research uses SNAP software. The research stages consist of radiometric correction, atmospheric correction, and multispectral image classification. The method used in image classification is the maximum likelihood algorithm. The use of the maximum likelihood algorithm is because the maximum likelihood algorithm gives the best results among other algorithms. The development of the research is the distribution of mangroves in Langsa City, covering an area of 4727.35 ha, which is divided into three sub-districts and eleven gampong (kelurahan). The sub-districts that have mangrove distribution are East Langsa District covering an area of 3240.25 Ha (68.55%), Langsa Barat District covering an area of 1486.47 Ha (31.45%), and Langsa Lama District covering an area of 0.63 Ha (0.013).","PeriodicalId":34761,"journal":{"name":"Jambura Geoscience Review","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47593174","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}

引用次数: 1

Studi Mekanisme Sedimentasi Formasi Dolokapa, Gorontalo Gorontalo Dolokapa组沉积机制研究

Jambura Geoscience Review Pub Date : 2021-07-26 DOI: 10.34312/JGEOSREV.V3I2.8475

Tedy Harianto Salama, Sri Maryati, Intan Noviantari Manyoe

{"title":"Studi Mekanisme Sedimentasi Formasi Dolokapa, Gorontalo","authors":"Tedy Harianto Salama, Sri Maryati, Intan Noviantari Manyoe","doi":"10.34312/JGEOSREV.V3I2.8475","DOIUrl":"https://doi.org/10.34312/JGEOSREV.V3I2.8475","url":null,"abstract":"The Dolokapa Formation is a sedimentary rock formation formed in a deep-sea depositional environment with a fairly complex level of deformation and tectonic arrangement. Analysis of the sedimentation mechanism is carried out to determine how much tectonic influence on the mechanisms that occur in a depositional environment and the variations in the sedimentation mechanism formed. Research on the sedimentation mechanism needs to be carried out to determine the history of the formation of Gorontalo sedimentary rocks, especially in the Dolokapa Formation which was formed during the Miocene. The purpose of this study is to know the mechanisms of deep-marine sedimentation based on the identification of lithological characteristics, layer stacking patterns, and sedimentary structures. The method used was measuring sections using a range of ropes divided into four measurement paths. After that, a correlation was performed based on the genesis of deep marine formation. Based on the results of processing and analysis of the data, obtained units of lithology that insertion silty-clay, and the sandstone graining insertion of silt. In vertical succession, the layering pattern formed generally thickens upwards which describes the energy of the depositional currents. The sedimentary structure consists of rip up-clast, parallel lamination, graded bedding, convolute, slump, and trace fossils of nereites trace fossils of nereites that characterize the sedimentation of traction currents and turbidite currents in the deep-sea environment. The sedimentation mechanism formed is the traction current mechanism which is a further development of turbidite current and high-low concentration turbidity current mechanism that occurs slowly on a suspension-controlled grain. The stratigraphic relationship of the rock units in the research area is aligned based on the genesis formation that is located in the setting of the deep marine.","PeriodicalId":34761,"journal":{"name":"Jambura Geoscience Review","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41450854","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}

引用次数: 0

Pendekatan Hidrogeomorfologi Dan Pendugaan Geolistrik Untuk Identifikasi Potensi Airtanah Di Jedong Malang 识别杰多不良潜在土地的水文地貌方法和地电假设

Jambura Geoscience Review Pub Date : 2021-07-26 DOI: 10.34312/jgeosrev.v3i2.10252

Ferryati Masitoh, Alfi Nur Rusydi, Ilham Diki Pratama

{"title":"Pendekatan Hidrogeomorfologi Dan Pendugaan Geolistrik Untuk Identifikasi Potensi Airtanah Di Jedong Malang","authors":"Ferryati Masitoh, Alfi Nur Rusydi, Ilham Diki Pratama","doi":"10.34312/jgeosrev.v3i2.10252","DOIUrl":"https://doi.org/10.34312/jgeosrev.v3i2.10252","url":null,"abstract":"This study aims to identify the potential groundwater in Jedong, Malang, East Java. The hydrogeomorphological approach is a suitable approach to describe the relationship between hydrological and geomorphological processes on and below the earth's surface. The survey of geoelectricity complements the hydrogeomorphological approach. It will give a better description of the groundwater conditions below the earth's surface. Based on the research, there are 2 hydrogeomorphological units in the study area, which are: Volcanic Foot Valley Unit and Volcanic Foot Ridge Unit. The best groundwater potential is in Volcanic Foot Valley Hydrogeomorphological unit, namely Awar-awar Valley and Cokro Valley. The valleys are dominated by gully erosion and landslides. They have surface deposits up to a depth of 7 meters, and lots of outcrops of breccia, pumice, and andesite boulders. The valley’s springs discharge between 56 - 198 m3/day. The average infiltration rate in the valley is 1776 mm / hour, with sandy soil material. The best aquifer consisting of sandy material is more than 10 meters in depth, based on the geoelectrical survey. Water in the aquiclude layer, cannot be exploited because it is breccia and tuff material. The Sawah valley cannot be exploited further because the groundwater potential is very low. This can be identified by the thick water outflow seepage. In the Volcanic Foot Ridge Hydrogeomorphological unit, the groundwater potential is also very small. Hydrogeomorphically, water will flow down the slope to the valley. It will reduce the infiltration rate. In general, the ridge area is only used for settlement, while the slopes are used for dryland agriculture. The geoelectric analysis results show that the groundwater potential is at a depth of more than 45 meters. This research’s results show that the combination of the hydrogeomorphological approach and the geoelectric use will provide a better description of the potential groundwater. ","PeriodicalId":34761,"journal":{"name":"Jambura Geoscience Review","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43011891","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}

引用次数: 3

Analisis Tipe Dan Bidang Gelincir Longsor Di Kabupaten Gorontalo Utara North Gorontalo胶囊的类型和纵向圆形投标分析

Jambura Geoscience Review Pub Date : 2021-07-20 DOI: 10.34312/JGEOSREV.V3I2.10623

L. Akbar, Fitryane Lihawa, Marike Mahmud

引用次数: 0

Heterogeneous Correlation Map Between Estimated ENSO And IOD From ERA5 And Hotspot In Indonesia ERA5估算ENSO和IOD与印尼热点的异质相关图

Jambura Geoscience Review Pub Date : 2021-07-20 DOI: 10.34312/JGEOSREV.V3I2.10443

S. Nurdiati, F. Bukhari, M. T. Julianto, M. Najib, Nuzhatun Nazria

{"title":"Heterogeneous Correlation Map Between Estimated ENSO And IOD From ERA5 And Hotspot In Indonesia","authors":"S. Nurdiati, F. Bukhari, M. T. Julianto, M. Najib, Nuzhatun Nazria","doi":"10.34312/JGEOSREV.V3I2.10443","DOIUrl":"https://doi.org/10.34312/JGEOSREV.V3I2.10443","url":null,"abstract":"El Nino-Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) can reduce the amount of rainfall in Indonesia. The previous study found that ENSO and IOD derived from the OISST dataset have an association with hotspots in Indonesia, especially in southern Sumatra dan Kalimantan. But the correlation results are still too small, and the correlation strength between regions has not been analyzed. Therefore, this study quantifies the association of the estimated ENSO and IOD derived from the ERA5 dataset on hotspots in Indonesia based on a Heterogeneous Correlation Map (HCM) and analyzes the correlation strength between regions in Indonesia. We use a singular value decomposition method to quantify this HCM. Besides OISST, ERA5 is an estimation data often used for weather forecast analysis. Therefore, this study quantifies the association of the estimated ENSO and IOD derived from the ERA5 dataset on hotspots in Indonesia based on a Heterogeneous Correlation Map (HCM) and analyzes the correlation strength between regions in Indonesia. Based on variance explained and correlation strength, the hotspot in Indonesia is more sensitive to ENSO and IOD derived from ERA5 than OISST. Consequently, the ERA5 data more useful to statistical analysis that requiring a substantial correlation.","PeriodicalId":34761,"journal":{"name":"Jambura Geoscience Review","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46713369","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}

引用次数: 7

Tingkat Kerawanan Kebakaran Hutan Dan Lahan Di Banjarbaru Provinsi Kalimantan Selatan 南加里曼丹省Banjarnew的森林和野外消防机构级别

Jambura Geoscience Review Pub Date : 2021-06-30 DOI: 10.34312/jgeosrev.v3i2.5648

Muhammad Riza Saputra, Deasy Arisanty, Sidharta Adyatma

引用次数: 4

Estimasi Produksi Jagung (Zea Mays L.) Menggunakan Pendekatan Ekologi Spasial Di Kabupaten Jeneponto

Jambura Geoscience Review Pub Date : 2020-06-02 DOI: 10.34312/JGEOSREV.V2I2.4773

Laode Muhamad Irsan, Rahma Musyawarah, Amniar Ati

{"title":"Estimasi Produksi Jagung (Zea Mays L.) Menggunakan Pendekatan Ekologi Spasial Di Kabupaten Jeneponto","authors":"Laode Muhamad Irsan, Rahma Musyawarah, Amniar Ati","doi":"10.34312/JGEOSREV.V2I2.4773","DOIUrl":"https://doi.org/10.34312/JGEOSREV.V2I2.4773","url":null,"abstract":"Jeneponto Regency is one of the biggest corn producers in South Sulawesi. Jeneponto Regency is the most suitable area for estimating corn crop production because it is the largest corn-producing region in South Sulawesi Province and has quite complex terrain variations. Agricultural management requires accurate and accurate information or data that can increase productivity and economic benefits. Get accurate and up-to-date data or information about parts of an accurate agricultural information system to support proper planning. The purpose of this study is to map climatic conditions (rainfall) and physical conditions (slope, height, soil type) and to estimate the amount of corn production and maize production maps through spatial assessment. This research was conducted in the Jeneponto Regency, which is located in the southern part of the South Sulawesi Province. The results of the study show that spatial ecology based on agro-ecosystem zones or agricultural unit units in the estimation of special maize production can increase estimation results with high accuracy. Based on the analysis of the four physical maps that have been mapped are rainfall, soil type, slope, and height which are regulated in the agro-ecosystem zone, the estimated amount with spatial ecological calculations is 159.584,05 tons. The accuracy of the estimation model results with field data reaches 95%. Based on the results of the study can conclude the results of spatial ecological research can be used as a method of estimating production on corn.","PeriodicalId":34761,"journal":{"name":"Jambura Geoscience Review","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43839295","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}

引用次数: 0

Analisis Tingkat Kerentanan Longsor Daerah Muara Sungai Bone Kota Gorontalo 哥伦打洛市Bone河纵向水面分析

Jambura Geoscience Review Pub Date : 2019-07-31 DOI: 10.34312/JGEOSREV.V1I2.2474

Muhammad Iqbal Asiki, Sri Maryati, Noviar Akase

{"title":"Analisis Tingkat Kerentanan Longsor Daerah Muara Sungai Bone Kota Gorontalo","authors":"Muhammad Iqbal Asiki, Sri Maryati, Noviar Akase","doi":"10.34312/JGEOSREV.V1I2.2474","DOIUrl":"https://doi.org/10.34312/JGEOSREV.V1I2.2474","url":null,"abstract":"In Gorontalo City there have been 11 landslides in 2017 which are spread in 3 sub-districts namely Hulonthalangi, Kota Barat, and Dumbo Raya. While in 2018 there was a landslide in Tenda village which claimed two lives. The research site is located in coordinate 00°29'00\" - 00°31’51\" N and 123°3'00\" - 123°5'27\" E with the wide of area 2,531 Ha consisting of 1,745 Ha of the mainland and 786 Ha of the sea. The research area administratively is located in Dumbo Raya Sub-district, Gorontalo city, Gorontalo Province. The purpose of this study was to determine the level of landslide susceptibility in the study area and make zonation maps of landslide prone area. This research method applied in this study was integration of field survey and GIS analysis. The parameters which influence the landslide are lithology, precipitation, slope, lineament density, type of soil, and the land use. Based on the analysis of landslide susceptibility, the level of susceptibility in the research site consists of 3 classes; low, moderate, and high. The low class of landslide susceptibility has the area of 217.46 Ha, the moderate class of landslide susceptibility has the area of 338.93 Ha with the biggest spread is in Leato Selatan village; 102.68 Ha. The high class of landslide susceptibility has the area of 1,188.70 Ha with the biggest spread in Leato Selatan Village; 288.66 Ha.","PeriodicalId":34761,"journal":{"name":"Jambura Geoscience Review","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46805861","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}

引用次数: 2

WebGIS Based Poverty Level Analysis (Case Study Of Wonosari Sub-District Boalemo Regency) 基于WebGIS的贫困水平分析(以Boalemo县Wonosari街道为例)

Jambura Geoscience Review Pub Date : 2019-07-24 DOI: 10.34312/jgeosrev.v1i2.2349

Irwan Muis, S. Eraku, S. Koem

引用次数: 0