Geographia Technica最新文献

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INTELLIGENT LOW-LEVEL WIND SHEAR ALERT PREDICTION SYSTEM BASED ON ANEMOMETER SENSOR NETWORK AND TEMPORAL CONVOLUTIONAL NETWORK (TCN) 基于风速传感器网络和时间卷积网络的低层风切变智能预警系统
IF 0.7
Geographia Technica Pub Date : 2022-03-14 DOI: 10.21163/gt_2022.171.07
Muhammad Ryan, A. H. Saputro, A. Sopaheluwakan
{"title":"INTELLIGENT LOW-LEVEL WIND SHEAR ALERT PREDICTION SYSTEM BASED ON ANEMOMETER SENSOR NETWORK AND TEMPORAL CONVOLUTIONAL NETWORK (TCN)","authors":"Muhammad Ryan, A. H. Saputro, A. Sopaheluwakan","doi":"10.21163/gt_2022.171.07","DOIUrl":"https://doi.org/10.21163/gt_2022.171.07","url":null,"abstract":"","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44161519","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
ALGORITHMS IN MATLAB TO COMPUTE A LOCAL GEOID MODEL FOR GEOMATICS PURPOSES 在matlab中计算局部大地水准面模型的算法
IF 0.7
Geographia Technica Pub Date : 2022-03-08 DOI: 10.21163/gt_2022.171.06
M. Pepe
{"title":"ALGORITHMS IN MATLAB TO COMPUTE A LOCAL GEOID MODEL FOR GEOMATICS PURPOSES","authors":"M. Pepe","doi":"10.21163/gt_2022.171.06","DOIUrl":"https://doi.org/10.21163/gt_2022.171.06","url":null,"abstract":"","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45949423","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
INTEGRATION OF SENTINEL-1A SAR, HYDRO DYNAMIC AND TRAJECTORY MODEL OF OIL SPILL AT BALONGAN COASTAL WATER JAVA SEA, INDONESIA 印尼爪哇海巴龙岸近海溢油水动力与轨迹模型集成
IF 0.7
Geographia Technica Pub Date : 2022-03-08 DOI: 10.21163/gt_2022.171.05
M. Helmi, Agus Hartoko, Hifzhan Husna, Mochamad Indra Bayu Ardiansyah
{"title":"INTEGRATION OF SENTINEL-1A SAR, HYDRO DYNAMIC AND TRAJECTORY MODEL OF OIL SPILL AT BALONGAN COASTAL WATER JAVA SEA, INDONESIA","authors":"M. Helmi, Agus Hartoko, Hifzhan Husna, Mochamad Indra Bayu Ardiansyah","doi":"10.21163/gt_2022.171.05","DOIUrl":"https://doi.org/10.21163/gt_2022.171.05","url":null,"abstract":"","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43410459","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
MACHINE LEARNING FOR MAPPING SPATIAL DISTRIBUTION OF THICKNESS AND CARBON STOCK OF TROPICAL PEATLAND BASED ON REMOTE SENSING DATA: A CASE STUDY IN LAKE SENTARUM NATIONAL PARK, INDONESIA 基于遥感数据的热带泥炭地厚度和碳储量空间分布的机器学习——以印度尼西亚森塔鲁姆湖国家公园为例
IF 0.7
Geographia Technica Pub Date : 2022-02-22 DOI: 10.21163/gt_2022.171.04
Faizal Musthofa, W. Widyatmanti, S. Arjasakusuma, D. Umarhadi, Demetria A. Putri, Fahrudin F. Raharja, M. K. Arrasyid
{"title":"MACHINE LEARNING FOR MAPPING SPATIAL DISTRIBUTION \u0000OF THICKNESS AND CARBON STOCK OF TROPICAL PEATLAND BASED ON REMOTE SENSING DATA: A CASE STUDY IN LAKE SENTARUM NATIONAL PARK, INDONESIA","authors":"Faizal Musthofa, W. Widyatmanti, S. Arjasakusuma, D. Umarhadi, Demetria A. Putri, Fahrudin F. Raharja, M. K. Arrasyid","doi":"10.21163/gt_2022.171.04","DOIUrl":"https://doi.org/10.21163/gt_2022.171.04","url":null,"abstract":"","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43826418","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
FACTORS INFLUENCING SOIL BEHAVIOR AND PROPERTIES OF MASS MOVEMENTS IN THE BLIMBING AREA, BRUNO DISTRICT, PURWOREJO REGENCY, CENTRAL JAVA, INDONESIA 印度尼西亚中爪哇普沃雷霍摄政布鲁诺区滑船区土壤性状和群众运动性质的影响因素
IF 0.7
Geographia Technica Pub Date : 2022-02-22 DOI: 10.21163/gt_2022.171.03
S. Kusumayudha, Riskhy JUMADIL AKHIR, Purwanto
{"title":"FACTORS INFLUENCING SOIL BEHAVIOR AND PROPERTIES OF MASS MOVEMENTS IN THE BLIMBING AREA, BRUNO DISTRICT, PURWOREJO REGENCY, CENTRAL JAVA, INDONESIA","authors":"S. Kusumayudha, Riskhy JUMADIL AKHIR, Purwanto","doi":"10.21163/gt_2022.171.03","DOIUrl":"https://doi.org/10.21163/gt_2022.171.03","url":null,"abstract":"","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44438554","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
INTEGRATING MULTISOURCE OF BATHYMETRY DATA FOR UPDATING BASEPOINT AND BASELINE POSITIONS OF MARITIME BOUNDARY 整合多源测深数据,更新海洋边界基点和基线位置
IF 0.7
Geographia Technica Pub Date : 2021-12-08 DOI: 10.21163/gt_2022.171.02
R. S. Dewi, T. R. N. Rachma, I. Sofian, N. Oktaviani, A. N. Safi’i, Suprajaka, Astrit Rimayanti, Eko Artanto
{"title":"INTEGRATING MULTISOURCE OF BATHYMETRY DATA FOR UPDATING BASEPOINT AND BASELINE POSITIONS OF MARITIME BOUNDARY","authors":"R. S. Dewi, T. R. N. Rachma, I. Sofian, N. Oktaviani, A. N. Safi’i, Suprajaka, Astrit Rimayanti, Eko Artanto","doi":"10.21163/gt_2022.171.02","DOIUrl":"https://doi.org/10.21163/gt_2022.171.02","url":null,"abstract":"The research presents an alternative method to update the position of basepoints and baselines of maritime boundary especially for the area with lack of bathymetry data. We used multisource bathymetry data for instance the national bathymetry, the national digital elevation model, and echosounding measurement data. We then integrated them with satellite derived bathymetry to provide a dense depth point in shallow water. In this case, data limitation due to the difficulty in reaching for example the outermost location was overcome by using remote sensing technology. The spline interpolation-based method was successful to integrate those multisource data and obtained quite detail information and less noisy bathymetry data. Furthermore, the LAT and HAT coastlines were able to update the positions of basepoint and baseline in the study area. We developed a new maritime boundary consisting of a normal baseline and straight lines across the mouth of three rivers and integrate them with the existing archipelagic baselines. The results can be used as a basis knowledge to support negotiations in delimiting maritime boundaries so that a proportionate and equitable agreement with neighboring countries can be achieved. Key-words: Basepoints; Baselines; Coastlines; SDB; Gridding method; Maritime boundary.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45063434","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
Geomatics Application for Geography 测绘学在地理学中的应用
IF 0.7
Geographia Technica Pub Date : 2021-11-17 DOI: 10.21163/gt_2021.163
{"title":"Geomatics Application for Geography","authors":"","doi":"10.21163/gt_2021.163","DOIUrl":"https://doi.org/10.21163/gt_2021.163","url":null,"abstract":"","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43406356","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
IMPERVIOUS SURFACE TREND ANALYSIS AND ITS IMPACTS ON KOSOVO’S LANDSCAPE CHANGE FROM 2006 TO 2015 2006 - 2015年科索沃不透水面趋势分析及其对景观变化的影响
IF 0.7
Geographia Technica Pub Date : 2021-11-16 DOI: 10.21163/gt_2022.171.01
F. Krasniqi, Florim Isufi
{"title":"IMPERVIOUS SURFACE TREND ANALYSIS AND ITS IMPACTS ON KOSOVO’S LANDSCAPE CHANGE FROM 2006 TO 2015","authors":"F. Krasniqi, Florim Isufi","doi":"10.21163/gt_2022.171.01","DOIUrl":"https://doi.org/10.21163/gt_2022.171.01","url":null,"abstract":"The growth of cities and human demands for a better life have influenced the transformation of land use from natural land or vegetation to an artificial area-impervious surface (IS). The IS is an important indicator to measure the process of urbanization and its impact on the ecological environment. This article aims to analyze the trends of impervious surface and exert influence on land cover/land use occupation based on High-Resolution Layers (HRL) of imperviousness time-series data from 2006 to 2015 obtained from the European Copernicus Programme for seven Kosovo's regions. For the spatiotemporal distribution of the IS changes to be expected, the overlay of the GIS method was utilized. The results show that the absolute and relative rate of IS increased in all Kosovo's districts in four time periods: 2006, 2009, 2012, and 2015. Whereas, in the three periods of impervious change: 2006 2009, 2009-2012, and 2012 – 2015 regional distinctions were distinguished, where Prishtina and Prizren regions occupy the most spatial increases of IS. To highlight the consumption of land cover/land use area by the IS increase change results of the periods 2009 -2012, and 2012 – 2015, fivefirst class categories of CORINE Land Cover inventory from 2012 and 2018 year utilized. In both periods, the most affected land cover class by IS increases was the artificial area, followed by agricultural area and forest and semi-natural area, where wetlands and water land cover classes showed no affection in all of Kosovo's regions.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43650630","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
COMPARISON OF DIFFERENT PAN-SHARPENING METHODS APPLIED TO IKONOS IMAGERY 不同泛锐化方法在ikonos图像中的应用比较
IF 0.7
Geographia Technica Pub Date : 2021-10-27 DOI: 10.21163/gt_2021.163.15
E. Alcaras, V. Della Corte, G. Ferraioli, E. Martellato, P. Palumbo, C. Parente, A. Rotundi
{"title":"COMPARISON OF DIFFERENT PAN-SHARPENING METHODS APPLIED TO IKONOS IMAGERY","authors":"E. Alcaras, V. Della Corte, G. Ferraioli, E. Martellato, P. Palumbo, C. Parente, A. Rotundi","doi":"10.21163/gt_2021.163.15","DOIUrl":"https://doi.org/10.21163/gt_2021.163.15","url":null,"abstract":"On board the IKONOS satellite there are sensors operating in the panchromatic and multispectral range: the geometric resolution of the acquired images is higher in the first case (1 m) than in the second one (4 m); on the contrary, panchromatic images have lower spectral resolution than the latter. Pan-sharpening methods allow to reduce the pixel dimensions of the multispectral images to comply with the panchromatic resolution. In this way, it is possible to obtain enhanced detailed data in both geometric and spectral resolution. This work aims to compare the results obtained from the application of eight different pan-sharpening methods, which are totally carried out by using the raster calculator in QGIS: Multiplicative, Simple Mean, Brovey Transformation, Brovey Transformation Fast, Intensity Hue Saturation (IHS), IHS Fast, Gram-Schmidt, and Gram-Schmidt Fast. Each resulting dataset is compared with the original one to evaluate the performance of each method by the following quality indices: Correlation Coefficient (CC), Universal Image Quality Index (UIQI), Relative Average Spectral Error (RASE), Erreur Relative Global Adimensionnelle de Synthèse (ERGAS), Spatial Correlation Coefficient (SCC) and Spatial ERGAS (SERGAS); however, this is a difficult task because the quality of the fused image depends on the considered datasets. Finally, a comparison the various between methods is carried out. Key-words: Data fusion, Pan-sharpening, IKONOS, GIS-Application, VHR.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46386215","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
ASSESSING THE ACCURACY OF SHALLOW WATER DEPTH ESTIMATION BY USING MULTISPECTRAL SATELLITE IMAGES 利用多光谱卫星图像评估浅水深度估计的准确性
IF 0.7
Geographia Technica Pub Date : 2021-10-18 DOI: 10.21163/gt_2021.163.14
R. S. Dewi, A. Rizaldy, P. Hartanto, Suprajaka Suprajaka
{"title":"ASSESSING THE ACCURACY OF SHALLOW WATER DEPTH ESTIMATION BY USING MULTISPECTRAL SATELLITE IMAGES","authors":"R. S. Dewi, A. Rizaldy, P. Hartanto, Suprajaka Suprajaka","doi":"10.21163/gt_2021.163.14","DOIUrl":"https://doi.org/10.21163/gt_2021.163.14","url":null,"abstract":": Timely and accurate bathymetry information is needed to support an effective policy on utilization and management of coastal natural resources. Satellite derived bathymetry (SDB) has been widely considered as an advanced and low-cost method for shallow water depth estimation. This is due to the availability of multi-temporal and multi-resolution satellite data. This study focuses on evaluating the accuracy of satellite derived bathymetry derived from multispectral images recorded by various sensors with various spatial resolution. The study area is located in a small island nearby Morotai Island, Indonesia. Four SDB models were compared. The implementation of the SDB model was carried out by combining echo-sounding measurements and the reflectance of blue, green, red, and near infrared bands of three satellite images (World View 2, Sentinel 2A and Landsat 8). Our findings reveal that all three satellite images performed well in assessing SDB at various spatial and spectral resolution, however, the use of high-resolution imagery did not always improve accuracy, for example when using SVM (Support Vector Machine). When using RF (Random Forest), Sentinel 2A produced the best accuracy and when using GAM (Generalized Additive Model), the most feasible result was generated only by using WorldView 2 image. In all cases, RF performed well and provided the most accurate SDB prediction.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43312134","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
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