Putri Laila KARTIKA NINGRUM, Bimo Adi SATRIO PRATAMA, S. Arjasakusuma
{"title":"SYNERGIZING LANDSAT-8 AND MODIS DATA FOR ENHANCED PADDY PHENOLOGY ASSESSMENT AND CROP FREQUENCY MAPPING: A FUSION OF PHENOLOGICAL INSIGHTS AND MACHINE LEARNING ALGORITHMS","authors":"Putri Laila KARTIKA NINGRUM, Bimo Adi SATRIO PRATAMA, S. Arjasakusuma","doi":"10.21163/gt_2024.191.09","DOIUrl":"https://doi.org/10.21163/gt_2024.191.09","url":null,"abstract":"","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140415089","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}
Adrian Irașoc, N. Ionac, Alexandru Dumitrescu, Andreea Beteringhe
: This study presents a statistical analysis of maximum precipitation amounts at different time intervals in Dobrudja - a historical region in Romania, with semi-arid mid-latitude climate, spanning over the entire historical period of measurements available for each weather station taken into consideration. The data provided by the National Meteorological Administration have different time spans for each weather station, starting with 1948 (at Constanţa weather station). Two methodologies were used for data recording: the pluviographs being used during the last century, and the automatic weather sensors, which have been introduced into general use starting with 2008. In this study, a sub-hourly temporal scale was used to estimate extreme rainfalls: 5, 10, 15, 20, 25, 30 minutes. Then, the corresponding evolution trends were calculated over the entire period of reference (1948-present day), with Mann-Kendall and Sen ’ s slope tests being applied (cases with p-level < 0.05 have been considered statistically significant). The probability for extremely high rainfall amounts to occur in very short periods of time and consequently, the resulting rainfall intensities have also been computed by means of Gumbel distribution. Our findings show that, despite rather scarce rainfall amounts, mostly due to the prevalent mid-latitude semi-arid conditions (the annual rainfall amounts in Dobrudja hardly exceed 400 mm/year), when occurring, they turn into downpours, mounting up to 21 mm in 5 minutes (two events exceed 20 mm) and sometimes 10 mm in one minute (one event).
{"title":"EXTREME RAINFALL INTENSITIES AT SUB-HOURLY TEMPORAL SCALE IN DOBRUDJA (ROMANIA)","authors":"Adrian Irașoc, N. Ionac, Alexandru Dumitrescu, Andreea Beteringhe","doi":"10.21163/gt_2024.191.08","DOIUrl":"https://doi.org/10.21163/gt_2024.191.08","url":null,"abstract":": This study presents a statistical analysis of maximum precipitation amounts at different time intervals in Dobrudja - a historical region in Romania, with semi-arid mid-latitude climate, spanning over the entire historical period of measurements available for each weather station taken into consideration. The data provided by the National Meteorological Administration have different time spans for each weather station, starting with 1948 (at Constanţa weather station). Two methodologies were used for data recording: the pluviographs being used during the last century, and the automatic weather sensors, which have been introduced into general use starting with 2008. In this study, a sub-hourly temporal scale was used to estimate extreme rainfalls: 5, 10, 15, 20, 25, 30 minutes. Then, the corresponding evolution trends were calculated over the entire period of reference (1948-present day), with Mann-Kendall and Sen ’ s slope tests being applied (cases with p-level < 0.05 have been considered statistically significant). The probability for extremely high rainfall amounts to occur in very short periods of time and consequently, the resulting rainfall intensities have also been computed by means of Gumbel distribution. Our findings show that, despite rather scarce rainfall amounts, mostly due to the prevalent mid-latitude semi-arid conditions (the annual rainfall amounts in Dobrudja hardly exceed 400 mm/year), when occurring, they turn into downpours, mounting up to 21 mm in 5 minutes (two events exceed 20 mm) and sometimes 10 mm in one minute (one event).","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140447048","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":"CORRELATIONS BETWEEN TOPOGRAPHIC WETNESS INDEX AND SOIL MOISTURE IN THE PANNONIAN REGION OF CROATIA","authors":"Hrvoje Heštera, Mladen Plantak, Dalibor Gernhardt","doi":"10.21163/gt_2024.191.07","DOIUrl":"https://doi.org/10.21163/gt_2024.191.07","url":null,"abstract":"","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139804541","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":"CORRELATIONS BETWEEN TOPOGRAPHIC WETNESS INDEX AND SOIL MOISTURE IN THE PANNONIAN REGION OF CROATIA","authors":"Hrvoje Heštera, Mladen Plantak, Dalibor Gernhardt","doi":"10.21163/gt_2024.191.07","DOIUrl":"https://doi.org/10.21163/gt_2024.191.07","url":null,"abstract":"","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139864254","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}
Tanutdech Rotjanakusol, Apiruk Puckdeevongs, T. Laosuwan
{"title":"RELATIONSHIP ASSESSMENT BETWEEN PM10 FROM THE AIR QUALITY MONITORING GROUND STATION AND AEROSOL OPTICAL THICKNESS","authors":"Tanutdech Rotjanakusol, Apiruk Puckdeevongs, T. Laosuwan","doi":"10.21163/gt_2024.191.06","DOIUrl":"https://doi.org/10.21163/gt_2024.191.06","url":null,"abstract":"","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139175527","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}
Sari Dewi Novita, Anna Alif Nor, Taryono Taryono, Maulana Muchamad Farid, Khumaeroh Dinda Nur Fadila
{"title":"DETECTION OF FLOOD HAZARD POTENTIAL ZONES BY USING ANALYTICAL HIERARCHY PROCESS IN TUNTANG WATERSHED AREA, INDONESIA","authors":"Sari Dewi Novita, Anna Alif Nor, Taryono Taryono, Maulana Muchamad Farid, Khumaeroh Dinda Nur Fadila","doi":"10.21163/gt_2024.191.05","DOIUrl":"https://doi.org/10.21163/gt_2024.191.05","url":null,"abstract":"","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138600975","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}
: Between 2018 and 2022, the primary regions for rice production in Indonesia were Java, Bali, and Nusa Tenggara, collectively contributing to approximately 61% of the annual rice production. Unfortunately, these islands are also most vulnerable to crop failure due to drought-induced water shortages. Therefore, this study predicted the occurrence, duration, and severity of meteorological drought in Java, Bali, and Nusa Tenggara using rainfall data from six climate models within the CMIP6 framework under the SSP245 and SSP585 scenarios. The observed data of 20 BMKG rainfall stations in the study area was acquired to adjust the output of the CMIP6 models using the Linear Scaling (LS) method. The Standardized Precipitation Index (SPI) at a 3-month scale (SPI-3) was used to analyze meteorological drought characteristics, such as frequency, duration, and intensity. The results showed that drought frequency increased and persisted for longer durations, particularly in the Nusa Tenggara region. However, compared to the observation period, drought intensity was predicted to decline in both scenarios compared to the observed period. The SSP585 scenario also indicated a higher level of drought compared to SSP245.
{"title":"PROJECTIONS OF FUTURE METEOROLOGICAL DROUGHT IN JAVA–NUSA TENGGARA REGION BASED ON CMIP6 SCENARIO","authors":"Afifah Huda Safura, A. B. Sekaranom","doi":"10.21163/gt_2024.191.04","DOIUrl":"https://doi.org/10.21163/gt_2024.191.04","url":null,"abstract":": Between 2018 and 2022, the primary regions for rice production in Indonesia were Java, Bali, and Nusa Tenggara, collectively contributing to approximately 61% of the annual rice production. Unfortunately, these islands are also most vulnerable to crop failure due to drought-induced water shortages. Therefore, this study predicted the occurrence, duration, and severity of meteorological drought in Java, Bali, and Nusa Tenggara using rainfall data from six climate models within the CMIP6 framework under the SSP245 and SSP585 scenarios. The observed data of 20 BMKG rainfall stations in the study area was acquired to adjust the output of the CMIP6 models using the Linear Scaling (LS) method. The Standardized Precipitation Index (SPI) at a 3-month scale (SPI-3) was used to analyze meteorological drought characteristics, such as frequency, duration, and intensity. The results showed that drought frequency increased and persisted for longer durations, particularly in the Nusa Tenggara region. However, compared to the observation period, drought intensity was predicted to decline in both scenarios compared to the observed period. The SSP585 scenario also indicated a higher level of drought compared to SSP245.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139239914","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}
I. D. Made, Alit Karyawan, Hariyadi Hariyadi, Didi Iskandarsyah, Made Mahendra
: An effort to maintain roads still in condition in Mataram City required maintenance even reconstruction. Related matter that, necessary information fast about condition surface road. This is important so can make decisions in handling the road. Information in the form of a map showing the condition and location of road damage is very helpful in speed of handling. Making maps relies heavily on data readiness to calculate road damage. Using application Mobile Mapping System (MMS) for damage data collection through photo tagging and Geographic Information Systems (GIS), can speed up making maps. The method used in the analysis of damaged roads is method Surface Distress Index (SDI). Based on the application This obtained the type of damaged road and at the same time position with synchronization location using GPS. The result of is novelty study is a map condition of surface roads in the city of Mataram spread out over 6 sub-sub-districts It is in condition good until damaged heavily. Based on the total length of Mataram City roads (312,529 km), the conditions and handling patterns provided are: (1) Good (85%): Routine maintenance (light green); (2) Medium (9%): Light rehabilitation (green); (3) Minor damage (3%): Heavy rehabilitation (yellow); and (4) Heavy damaged (3%): Reconstruction (red).
{"title":"INTEGRATING MMS AND GIS TO IMPROVE THE EFFICIENCY AND SPEED OF MAPPING OF URBAN ROAD DAMAGE CONDITIONS IN MATARAM, INDONESIA","authors":"I. D. Made, Alit Karyawan, Hariyadi Hariyadi, Didi Iskandarsyah, Made Mahendra","doi":"10.21163/gt_2024.191.02","DOIUrl":"https://doi.org/10.21163/gt_2024.191.02","url":null,"abstract":": An effort to maintain roads still in condition in Mataram City required maintenance even reconstruction. Related matter that, necessary information fast about condition surface road. This is important so can make decisions in handling the road. Information in the form of a map showing the condition and location of road damage is very helpful in speed of handling. Making maps relies heavily on data readiness to calculate road damage. Using application Mobile Mapping System (MMS) for damage data collection through photo tagging and Geographic Information Systems (GIS), can speed up making maps. The method used in the analysis of damaged roads is method Surface Distress Index (SDI). Based on the application This obtained the type of damaged road and at the same time position with synchronization location using GPS. The result of is novelty study is a map condition of surface roads in the city of Mataram spread out over 6 sub-sub-districts It is in condition good until damaged heavily. Based on the total length of Mataram City roads (312,529 km), the conditions and handling patterns provided are: (1) Good (85%): Routine maintenance (light green); (2) Medium (9%): Light rehabilitation (green); (3) Minor damage (3%): Heavy rehabilitation (yellow); and (4) Heavy damaged (3%): Reconstruction (red).","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2023-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139261871","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}
Sri NURDIATI, Fahren BUKHARI, Ardhasena SOPAHELUWAKAN, Pandu SEPTIAWAN, Vicho HUTAPEA
: Papua, known as one of the wettest regions in the world with annual precipitation ranging from 2400 to 4500 mm, faces a high risk of flooding, especially during La Niña, as observed in 2018 and 2022. Conversely, the region also experiences forest fires, mainly in the southern areas of Papua, during periods of extreme dry conditions brought about by El Niño events, as seen in 2002, 2004, and 2015. Given the increasing frequency of extreme climate events in the context of climate change, understanding the impact of global climate phenomena such as El Niño Southern Oscillation (ENSO) on Papua is crucial. This research aims to analyze the influence of ENSO and the Indian Ocean Dipole (IOD) on forest fires and flood risk in Papua, Indonesia. The analysis of forest fires utilizes MODIS hotspot and ERA5 precipitation data, employing quantitative modeling techniques such as Lasso and Elastic Net Regression. It integrates both ENSO and IOD indices into the precipitation indicators. In contrast, flood analysis is carried out through distribution and joint pattern analysis. The Elastic Net Regression yields promising results in modeling, with more than 96% of the tested models successfully predicting the total annual hotspots for each year, achieving an R-squared value of 90%. This suggests that the method and algorithm used can serve as a robust model for early hotspot prediction in the analyzed area. The warm phases of ENSO and IOD consistently exhibit a positive correlation with the dry season. However, the cold phases of these phenomena do not significantly impact heavy and extreme precipitation indicators in the studied region. The flood analysis reveals that La Niña has only a slight effect on all three precipitation patterns in the analyzed area, primarily by increasing the risk of extreme precipitation indicators. Conversely, negative IOD demonstrates inconsistency across all three precipitation patterns in Papua.
{"title":"ENSO AND IOD IMPACT ANALYSIS OF EXTREME CLIMATE CONDITION IN PAPUA, INDONESIA","authors":"Sri NURDIATI, Fahren BUKHARI, Ardhasena SOPAHELUWAKAN, Pandu SEPTIAWAN, Vicho HUTAPEA","doi":"10.21163/gt_2024.191.01","DOIUrl":"https://doi.org/10.21163/gt_2024.191.01","url":null,"abstract":": Papua, known as one of the wettest regions in the world with annual precipitation ranging from 2400 to 4500 mm, faces a high risk of flooding, especially during La Niña, as observed in 2018 and 2022. Conversely, the region also experiences forest fires, mainly in the southern areas of Papua, during periods of extreme dry conditions brought about by El Niño events, as seen in 2002, 2004, and 2015. Given the increasing frequency of extreme climate events in the context of climate change, understanding the impact of global climate phenomena such as El Niño Southern Oscillation (ENSO) on Papua is crucial. This research aims to analyze the influence of ENSO and the Indian Ocean Dipole (IOD) on forest fires and flood risk in Papua, Indonesia. The analysis of forest fires utilizes MODIS hotspot and ERA5 precipitation data, employing quantitative modeling techniques such as Lasso and Elastic Net Regression. It integrates both ENSO and IOD indices into the precipitation indicators. In contrast, flood analysis is carried out through distribution and joint pattern analysis. The Elastic Net Regression yields promising results in modeling, with more than 96% of the tested models successfully predicting the total annual hotspots for each year, achieving an R-squared value of 90%. This suggests that the method and algorithm used can serve as a robust model for early hotspot prediction in the analyzed area. The warm phases of ENSO and IOD consistently exhibit a positive correlation with the dry season. However, the cold phases of these phenomena do not significantly impact heavy and extreme precipitation indicators in the studied region. The flood analysis reveals that La Niña has only a slight effect on all three precipitation patterns in the analyzed area, primarily by increasing the risk of extreme precipitation indicators. Conversely, negative IOD demonstrates inconsistency across all three precipitation patterns in Papua.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135221045","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}
Anton Satria PRABUWONO, None KUNARSO, Anindya WIRASATRIYA, Satria ANTONI
: The Red Sea has a special geographical feature because it is situated in the tropical and subtropical zones. The uniqueness of the Red Sea makes a variability of oceanography data (Chlorophyll-a (Chl-a), current, Salinity, etc.) and meteorological data (Precipitation, Wind Speed, etc.). However, investigations of differences interaction of oceanography and meteorology are less studied in of the Red Sea. Satellites and modeling make it possible to observe oceanographic and meteorological data over a long period of time. This study first demonstrates that there are three major areas along the Red Sea that represent the different Chl-a concentrations during the rainy season. The month of July has the highest Chl-a concentration in the south (1.3 mg/m 3 ) and the lowest Chl-a concentration in the north (0.18 mg/m 3 ). The southern part of the Red Sea has a different generation mechanism from the northern part of the Red Sea in terms of increasing and decreasing Chl-a concentrations. The existence of surface runoff in this area may result in the supply of anthropogenic organic compounds and fresh water to coastal waters. This may increase the supply of nutrients at the peak of the rainy season, and finally increase the concentration of Chl-a in the southern part. In the middle part, the variability of Chl-a is mainly affected by wind speed. Meanwhile, the high salinity in the northern part may limit the growth of phytoplankton and keep the Chl-a concentration low.
{"title":"INVESTIGATION OF CHLOROPHYLL-A VARIABILITY IN RED SEA USING SATELLITE-BASED METEOROLOGY AND OCEANOGRAPHY DATA","authors":"Anton Satria PRABUWONO, None KUNARSO, Anindya WIRASATRIYA, Satria ANTONI","doi":"10.21163/gt_2023.182.18","DOIUrl":"https://doi.org/10.21163/gt_2023.182.18","url":null,"abstract":": The Red Sea has a special geographical feature because it is situated in the tropical and subtropical zones. The uniqueness of the Red Sea makes a variability of oceanography data (Chlorophyll-a (Chl-a), current, Salinity, etc.) and meteorological data (Precipitation, Wind Speed, etc.). However, investigations of differences interaction of oceanography and meteorology are less studied in of the Red Sea. Satellites and modeling make it possible to observe oceanographic and meteorological data over a long period of time. This study first demonstrates that there are three major areas along the Red Sea that represent the different Chl-a concentrations during the rainy season. The month of July has the highest Chl-a concentration in the south (1.3 mg/m 3 ) and the lowest Chl-a concentration in the north (0.18 mg/m 3 ). The southern part of the Red Sea has a different generation mechanism from the northern part of the Red Sea in terms of increasing and decreasing Chl-a concentrations. The existence of surface runoff in this area may result in the supply of anthropogenic organic compounds and fresh water to coastal waters. This may increase the supply of nutrients at the peak of the rainy season, and finally increase the concentration of Chl-a in the southern part. In the middle part, the variability of Chl-a is mainly affected by wind speed. Meanwhile, the high salinity in the northern part may limit the growth of phytoplankton and keep the Chl-a concentration low.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135567650","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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