Geographia Technica最新文献_第2页

A ROBUST UNIFIED MODEL FOR NATIONAL STREET GAZETTEER BASED ON LAND REGISTER AND GIS FOR THE REPUBLIC OF KOSOVO 基于土地登记和地理信息系统的科索沃共和国国家街道地名强健统一模型

Geographia Technica Pub Date : 2023-09-14 DOI: 10.21163/gt_2023.182.13

Përparim AMETI, Dustin SANCHEZ

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IDENTIFICATION OF RETENTION AREAS USING AIRBORNE LIDAR DATA. A CASE STUDY FROM CENTRAL SWEDEN 利用机载激光雷达数据识别滞留区域。瑞典中部的个案研究

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Geographia Technica Pub Date : 2023-08-21 DOI: 10.21163/gt_2023.182.12

J. Seidl

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CONTRIBUTION OF SPACE REMOTE SENSING AND NEW GIS TOOLS FOR MAPPING GEOLOGICAL STRUCTURES IN THE MEKKAM REGION OF NORTHEAST MOROCCO 空间遥感和新的GIS工具对摩洛哥东北部MEKKAM地区地质结构测绘的贡献

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Geographia Technica Pub Date : 2023-08-16 DOI: 10.21163/gt_2023.182.11

Abdelali Gouiss, Youness Taybi, Y. Gharmane, Souad M’rabet

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TSUNAMI EVACUATION MODEL IN THE PANIMBANG SUBDISTRICT, BANTEN PROVINCE, INDONESIA: GIS- AND AGENT-BASED MODELING 印度尼西亚万丹省潘尼邦街道的海啸疏散模型:基于gis和agent的建模

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Geographia Technica Pub Date : 2023-07-28 DOI: 10.21163/gt_2023.182.10

D. Purbani, M. I. Marzuki, B. Ontowirjo, Farhan Makarim Zein, D. Tjahjo, S. E. Purnamaningtyas, Rudy Akhwady, A. Syam, Arip Rahman, Y. Sugianti, S. Dody, A. S. Nastiti, A. Warsa, L. P. Astuti, Yosmaniar, T. Kadarini, T. Prihadi, U. J. Wisha

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THAI EASTERN ECONOMIC CORRIDOR DROUGHT MONITORING USING TERRA/MODIS SATELLITE-BASED DATA 基于terra / modis卫星数据的泰国东部经济走廊干旱监测

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Geographia Technica Pub Date : 2023-07-27 DOI: 10.21163/gt_2023.182.09

P. Jeefoo

{"title":"THAI EASTERN ECONOMIC CORRIDOR DROUGHT MONITORING USING TERRA/MODIS SATELLITE-BASED DATA","authors":"P. Jeefoo","doi":"10.21163/gt_2023.182.09","DOIUrl":"https://doi.org/10.21163/gt_2023.182.09","url":null,"abstract":": One of the main natural disasters that has an impact on the environment and economy of nations throughout the world is drought. It has an impact on the local vegetation's state. The study's main goal was to look for years of severe drought by looking at Thailand's Eastern Economic Corridor (EEC). To determine the vegetation condition in the research area between 2017 and 2021, the Normalized Vegetation Index (NDVI) from Terra/MODIS data was employed. The area with the NDVI difference from the average value of NDVI during the same time period was examined using the Standardized Vegetation Index (SVI). Through the vegetation index, the drought can be reflected in this. According to the study, the highest drought area covered an area of 216.36 km 2 in 2017. This was followed by years 2019 and 2020, which each covered an area of 212.65 km 2 , 211.23 km 2 , 197.09 km 2 , and 178.07 km 2 . Additionally, a statistical analysis of the monthly correlation between the SVI (independent variable) and rainfall (dependent variable) over the course of the five years revealed that the coefficient of determination R 2 was 0.8018 in 2020, 0.6819 in 2021, 0.6262 in 2017, 0.5772 in 2018, and 0.5108 in 2019. The methodology can be obtained and used by other departments to assess and forecast drought in other regions of Thailand and other nations.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42693805","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

A MULTISCALE GEOMATIC APPROACH FOR THE SURVEY OF HISTORIC CENTRES MAIN STREETS: THE CASE STUDY OF CAPITIGNANO, ITALY 历史中心主要街道调查的多尺度地理方法:意大利capitgnano的案例研究

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Geographia Technica Pub Date : 2023-07-21 DOI: 10.21163/gt_2023.182.08

Giovanni Mataloni, Donato Palumbo, M. Pepe, C. Varagnoli

引用次数: 0

ASSESSMENT OF INUNDATION SUSCEPTIBILITY IN THE CONTEXT OF CLIMATE CHANGE, BASED ON MACHINE LEARNING AND REMOTE SENSING: CASE STUDY IN VINH PHUC PROVINCE OF VIETNAM 基于机器学习和遥感的气候变化背景下洪水易感性评估&以越南文福省为例

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Geographia Technica Pub Date : 2023-07-18 DOI: 10.21163/gt_2023.182.07

Phan Manh Hung, H. Nguyen, C. P. Van

引用次数: 0

COMPARISON OF TWO SEPARATION MULTIPATH TECHNIQUES IN GNSS REFLECTOMETRY FOR SEA LEVEL DETERMINATION IN INDONESIA 印度尼西亚海平面测定GNSS反射测量中两种分离多径技术的比较

IF 0.7

Geographia Technica Pub Date : 2023-06-15 DOI: 10.21163/gt_2023.182.06

Lisa A. Cahyaningtyas, D. Wijaya, Nabila Putri

{"title":"COMPARISON OF TWO SEPARATION MULTIPATH TECHNIQUES IN GNSS REFLECTOMETRY FOR SEA LEVEL DETERMINATION IN INDONESIA","authors":"Lisa A. Cahyaningtyas, D. Wijaya, Nabila Putri","doi":"10.21163/gt_2023.182.06","DOIUrl":"https://doi.org/10.21163/gt_2023.182.06","url":null,"abstract":": GNSS reflectometry (GNSS-R) is a method to derive sea level using Signal to Noise Ratio (SNR) from the Global Navigation Satellite Systems (GNSS). SNR data consist of the direct signal from the satellite (multipath) and of the signals reflected by the sea surface, and hence separating the multipath is necessary to extract the signal from the sea surface. The process of separating multipath may affect the number of data and may eventually affect the quality of the derived sea level values. There are two multipath separation techniques that are mostly used: polynomial fitting and wavelet decomposition. This study investigates the performance of both techniques by applying them to analyze three months of the L1 SNR data of Global Positioning System (GPS) and Globalnaya Navigatsionnaya Sputnikovaya Sistema (GLONASS) as observed from two stations, Barus (CBRS) at North Sumatera from January 1 to March 31, 2022, and Morotai (CMOR) at North Maluku, Indonesia using data from February 1 to May 1, 2022. Comparison with sea level from tide gauge observations shows a high correlation for both techniques, with correlation coefficients of approximately 0.90 and 0.97 for CBRS and CMOR, respectively. The Root Mean Square Error (RMSE) of polynomial fitting for CBRS and CMOR have the same value, 11.5 cm, whereas those of wavelet are 11.4 cm and 11.5 cm. Since polynomial fitting and wavelet decomposition show similar performance, we conclude that both techniques give comparable accuracy of multipath SNR data for GNSS-R in Indonesia with appropriate quality control parameters.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46932208","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

SPATIAL MODEL OF RUNOFF FLOWING INTO THE NEWLY FORMED LAKE AT SINABUNG VOLCANO 流入锡纳朋火山新形成湖泊的径流空间模型

Geographia Technica Pub Date : 2023-05-30 DOI: 10.21163/gt_2023.182.05

Sandy Budi WIBOWO, Polin Mouna TOGATOROP, Tsamara HANINDHIYA, Barandi Sapta WIDARTONO, R. Ibnu ROSYADI

引用次数: 0

TSUNAMI HAZARD MAPPING BASED ON COASTAL SYSTEM ANALYSIS USING HIGH-RESOLUTION UNMANNED AERIAL VEHICLE (UAV) IMAGERY (Case Study in Kukup Coastal Area, Gunungkidul Regency, Indonesia) 基于高分辨率无人驾驶飞行器（UAV）图像海岸系统分析的TSOI危险地图绘制（以印度尼西亚古农基都县库库普海岸地区为例）

IF 0.7

Geographia Technica Pub Date : 2023-05-25 DOI: 10.21163/gt_2023.182.04

Danardono, A. A. Wibowo, Dewi Novita, K. Priyono, Ecky Safira, Maharani Dewi

{"title":"TSUNAMI HAZARD MAPPING BASED ON COASTAL SYSTEM ANALYSIS USING HIGH-RESOLUTION UNMANNED AERIAL VEHICLE (UAV) IMAGERY (Case Study in Kukup Coastal Area, Gunungkidul Regency, Indonesia)","authors":"Danardono, A. A. Wibowo, Dewi Novita, K. Priyono, Ecky Safira, Maharani Dewi","doi":"10.21163/gt_2023.182.04","DOIUrl":"https://doi.org/10.21163/gt_2023.182.04","url":null,"abstract":": The Kukup Coastal Area is located in the southern part of Java's coastal area, which has an active megathrust subduction zone. The dynamics of tectonic activities in this zone trigger earthquakes with various intensities. Some of these earthquakes can trigger a tsunami threatening human activities in this area. Therefore, a detailed study of tsunami hazards by integrating physical and socio-economic aspects needs to be done to estimate disaster risk and determine spatial planning in coastal areas. The objectives of this study are (1) to identify the coastal system and (2) to create a tsunami hazard map in the Kukup Coastal Area. Coastal systems can be identified by analyzing the physical and socio-economic conditions. Physical conditions such as morphological and coastal typology can be extracted from Digital Elevation Model (DEM) from aerial photo processing. Socio-economic conditions such as land use analysis and tourism activities can be extracted from orthophoto, which is extracted from aerial photo processing using drones. The tsunami hazard can be analyzed using three modelling stages: earthquake source modelling, tsunami wave propagation modelling, and tsunami inundation modelling using Geographic Information System (GIS). The results show that the morphological conditions in the study area were dominated by the formation of conical hills with a firm lineament pattern causing the formation of elongated basins such as labyrinths. This basin is a place for developing socio-economic activities, especially tourism, which can be seen from a large amount of built-up land area. The presence of these basins causes the tsunami inundation pattern to extend perpendicular to the shoreline, causing the tsunami inundation in the study area to extend as far as 2 km from the shoreline.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42352065","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