{"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}
{"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}
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}
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}
{"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}
R. S. Dewi, T. R. N. Rachma, I. Sofian, N. Oktaviani, A. N. Safi’i, Suprajaka, Astrit Rimayanti, Eko Artanto
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.
{"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}
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.
{"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}
E. Alcaras, V. Della Corte, G. Ferraioli, E. Martellato, P. Palumbo, C. Parente, A. Rotundi
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.
IKONOS卫星上有在全色和多光谱范围内工作的传感器：第一种情况下采集的图像的几何分辨率（1米）高于第二种情况下（4米）；相反，全色图像具有比后者更低的光谱分辨率。泛锐化方法允许减少多光谱图像的像素尺寸以符合全色分辨率。通过这种方式，可以获得几何分辨率和光谱分辨率都得到增强的详细数据。本工作旨在比较在QGIS中使用光栅计算器完全实现的八种不同的泛锐化方法的应用结果：乘法、简单均值、Brovey变换、Brovey-Transformation Fast、强度-色调-饱和度（IHS）、IHS Fast、Gram-Schmidt和Gram-Schmitt Fast。将得到的每个数据集与原始数据集进行比较，以通过以下质量指标来评估每种方法的性能：相关系数（CC）、通用图像质量指数（UIQI）、相对平均光谱误差（RASE）、相对全局Adimensionelle de Synthèse（ERGAS）、空间相关系数（SCC）和空间ERGAS（SERGAS）；然而，这是一项困难的任务，因为融合图像的质量取决于所考虑的数据集。最后，对各种方法进行了比较。关键词：数据融合，泛锐化，IKONOS，GIS应用，VHR。
{"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}
R. S. Dewi, A. Rizaldy, P. Hartanto, Suprajaka Suprajaka
: 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.
{"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}
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