2022 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)最新文献_第4页

Deformation Identification Due to the Pasaman Earthquake On February 25 2022, Using The DinSAR Method 利用DinSAR方法识别2022年2月25日Pasaman地震的变形

2022 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS) Pub Date : 2022-12-21 DOI: 10.1109/AGERS56232.2022.10093550

Aprilia Puspita C., A. Martha, Priyobudi, S. Rohadi, N. Heryandoko, S. Ahadi

{"title":"Deformation Identification Due to the Pasaman Earthquake On February 25 2022, Using The DinSAR Method","authors":"Aprilia Puspita C., A. Martha, Priyobudi, S. Rohadi, N. Heryandoko, S. Ahadi","doi":"10.1109/AGERS56232.2022.10093550","DOIUrl":"https://doi.org/10.1109/AGERS56232.2022.10093550","url":null,"abstract":"The Pasaman earthquake on February 25, 2022, had a magnitude of 6.1 with a depth of 10 km and an epicenter at 0.15 N - 99.98 BT. This earthquake was preceded by a lower magnitude earthquake with a magnitude of 5.2, with an interval of about 4 minutes before the main earthquake. Based on information updates from BMKG until March 7, 2022, there were 279 aftershocks and 10 felt times. Based on information from the Pasaman regency government, the casualties affected as many as 24 people died, 7186 people were displaced and more than 6625 houses were damaged spread across 5 districts, including West Pasaman, Pasaman, Lima Puluh Kota, Agam, and Padang Pariaman districts. This study aims to provide information on the location of deformations caused by this earthquake. Because the impact of the earthquake is quite extensive and destructive, it is very necessary to inform the information that occurs for future mitigation efforts. This research uses the DinSAR method by utilizing data from sentinel 1 type SLC (Single Look Complex) imagery before (11 and 23 February 2022) and after (7 March 2022) the earthquake occurred. In addition, we processed satellite Gravity data from GGMPlus to identify weak structures associated with low anomalies for comparison with the results of the DinSAR Method. The results of the satellite imagery process show that the areas identified as deformation at the time of the earthquake are in zones with low (negative) anomaly residual gravity values.","PeriodicalId":370213,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"7 Suppl 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133407349","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

Exploration of CHIRPS Satellite Data as Rainfall Estimation Data in Medan City and Deli Serdang Regency CHIRPS卫星数据作为棉兰市和德里塞尔丹县降水估算数据的探索

2022 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS) Pub Date : 2022-12-21 DOI: 10.1109/AGERS56232.2022.10093448

Octo Mario Pasaribu, A. Poniman, Andrian Andaya Lestari, Y. Prihanto, A. Supriyadi, Yahya Darmawan

{"title":"Exploration of CHIRPS Satellite Data as Rainfall Estimation Data in Medan City and Deli Serdang Regency","authors":"Octo Mario Pasaribu, A. Poniman, Andrian Andaya Lestari, Y. Prihanto, A. Supriyadi, Yahya Darmawan","doi":"10.1109/AGERS56232.2022.10093448","DOIUrl":"https://doi.org/10.1109/AGERS56232.2022.10093448","url":null,"abstract":"The availability of spatially and temporally consistent rainfall observation data is needed in various fields. Fields of research related to hydrometeorology are no exception. The limitations of rainfall measuring tools and stations encourage the use of alternative rainfall data derived from estimates based on satellite data. The condition of limited tools and stations to measure rainfall is also experienced in Medan City and Deli Serdang Regency. This study aims to test how far the Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) satellite rainfall data can be used as standard rainfall data in Medan City and Deli Serdang Regency. In this study, monthly rainfall forecasts from CHIRPS satellite data are validated by rainfall observations from four station locations. Validation is carried out to determine the level of correlation and the magnitude of the error value from satellite data. The method used is descriptive statistics by calculating the correlation coefficient and error value. The validation results show that the CHIRPS satellite data has a fairly strong correlation greater than 0.6 with observation data from four locations. Therefore, CHIRPS satellite data can be used as an alternative to rainfall data in Medan City and Deli Serdang Regency, especially in areas with the same elevation and topographic conditions as the station location, with the best validation results.","PeriodicalId":370213,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134422981","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

Welcome Speech from Chair of Indonesia Section IEEE AESS/GRSS Chapter IEEE AESS/GRSS分会印度尼西亚分会主席欢迎辞

2022 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS) Pub Date : 2022-12-21 DOI: 10.1109/agers56232.2022.10093300

引用次数: 0

Time Series Classification using Improved Deep Learning Approach for Agriculture Field Mapping 基于改进深度学习方法的时间序列分类农业领域制图

2022 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS) Pub Date : 2022-12-21 DOI: 10.1109/AGERS56232.2022.10093560

D. B. Sencaki, M. N. Putri, H. Sanjaya, Hari Prayogi, N. Anatoly, Afifuddin, P. K. Putra, Tiara Grace F.L, Muhammad Luthfi A.

{"title":"Time Series Classification using Improved Deep Learning Approach for Agriculture Field Mapping","authors":"D. B. Sencaki, M. N. Putri, H. Sanjaya, Hari Prayogi, N. Anatoly, Afifuddin, P. K. Putra, Tiara Grace F.L, Muhammad Luthfi A.","doi":"10.1109/AGERS56232.2022.10093560","DOIUrl":"https://doi.org/10.1109/AGERS56232.2022.10093560","url":null,"abstract":"Agriculture holds an important role in food security management, hence providing the authorities with reliable and updated agriculture field maps from regional to national scale is critical. Unfortunately, conventional digitation on the screen is still dominating the process of mapping production. The recent advancement in remote sensing research has made it possible to optimize the operation of mapping by employing Deep Learning (DL) algorithm to automate the process. This study implemented a novel DL architecture based on multiple blocks of CNN layers which are complemented by a Bi-LSTM and dual FCN layers. Time-series datasets of NDVI were extracted from Landsat 8 OLI (Operational Land Image) ranging from May 2013 to September 2021 as the main features. The validation accuracy score of our DL model during the fitting process was 0.9833. MSAVI replaced NDVI as part of the experiments and our model produced a validation accuracy score of 0.9667. In the latter stage of the experiment, we produced the final comparison using IoU metrics between prediction maps of the agriculture field from our model, ResNet, and ESA WorldCover. Prediction maps from our model topped the chart with highest IoU score amongst others for the NDVI and MSAVI datasets","PeriodicalId":370213,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121354929","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

Conceptual Framework of Systems Thinking based Flood Risk Management: A Preliminary Study 基于系统思维的洪水风险管理概念框架初探

2022 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS) Pub Date : 2022-12-21 DOI: 10.1109/AGERS56232.2022.10093526

A. Anisah, B. Santosa, D. B. Sencaki

引用次数: 0

Development of Vegetation Changes Monitoring Application in Kalimantan Island (2000-2021) with MODIS Satellite Imagery using Streamlit Platform 基于流光平台MODIS卫星影像加里曼丹岛植被变化监测应用进展

2022 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS) Pub Date : 2022-12-21 DOI: 10.1109/AGERS56232.2022.10093614

Megivareza Putri Hanansyah, Amalia Putri Rivani, H. Sanjaya, L. M. Jaelani, Nurdiansyah

{"title":"Development of Vegetation Changes Monitoring Application in Kalimantan Island (2000-2021) with MODIS Satellite Imagery using Streamlit Platform","authors":"Megivareza Putri Hanansyah, Amalia Putri Rivani, H. Sanjaya, L. M. Jaelani, Nurdiansyah","doi":"10.1109/AGERS56232.2022.10093614","DOIUrl":"https://doi.org/10.1109/AGERS56232.2022.10093614","url":null,"abstract":"Kalimantan Island is one of the largest islands in Indonesia, with high natural and mineral resources. Therefore, the mining industry and clearing of forest areas for oil palm plantations cause a decrease in vegetation. However, the existence of vegetation has a positive impact on the sustainability of the ecosystem. For this reason, monitoring the vegetation on the island of Kalimantan regularly using remote sensing data is necessary. This study uses MODIS Nadir BRDF-Adjusted Reflectance Daily 500m (MODIS/006/MCD43A4) satellite imagery consisting of bands 1–7 and 500 meters resolution. Data calculation using the MNDVI algorithm, which can reduce atmospheric effects and, at the same time, adjusts parameters for reflectance data not affected by the atmosphere. Then, data processing was carried out with cloud masking and clipping using the boundaries of Kalimantan, and the results were classified into four classes. The monitoring of vegetation changes will develop into a web-based application. Applications are made using the Streamlit framework and can be accessed by anyone needing data on vegetation changes on the island of Kalimantan from 2000 to 2021.","PeriodicalId":370213,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128005948","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

Is the Mangrove Restoration and Rehabilitation Program Successful in Riau Province, Indonesia? 印尼廖内省红树林恢复和恢复项目成功了吗?

2022 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS) Pub Date : 2022-12-21 DOI: 10.1109/AGERS56232.2022.10093595

A. Darmawan, N. Setyaningrum, Afifuddin, S. Arfah, Muhammad Iqbal Habibie

{"title":"Is the Mangrove Restoration and Rehabilitation Program Successful in Riau Province, Indonesia?","authors":"A. Darmawan, N. Setyaningrum, Afifuddin, S. Arfah, Muhammad Iqbal Habibie","doi":"10.1109/AGERS56232.2022.10093595","DOIUrl":"https://doi.org/10.1109/AGERS56232.2022.10093595","url":null,"abstract":"Mangroves not only function as carbon sinks but also as food sources, wildlife habitats, and coastal protection. However, behind the enormous benefits, the information and data are still relatively minimal. In the context of the mangrove restoration and rehabilitation program in Indonesia, it is necessary to study the progress that has been achieved so far. One of the indicators assessed is the estimation of mangrove density in an area over a certain period. This study will calculate the density of mangroves in Riau Province, one of 9 priority provinces, using Sentinel 2 satellite data for 2016 and 2021. Estimation of mangrove density is carried out using vegetation indices approach, namely Modified Soil-Adjusted Vegetation Index-2 (MSAVI2), Soil-Adjusted Vegetation Index 2 (SAVI2), and Green Normalized Difference Vegetation Index-2 (GNDVI2). This vegetation index is an empirical mathematical model algorithm of the reflection of electromagnetic, visible, and near-infrared (NIR) waves. From the results of this study, the mangrove restoration and rehabilitation program in Riau Province is going as expected, and it can be seen from the change in the density level. The algorithm shows that the change in mangrove density in 2021 is about 20% for the very dense type compared to 2016.","PeriodicalId":370213,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121619414","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

Time Series InSAR Analysis over Jakarta Metropolitan Area 雅加达都市圈InSAR时间序列分析

2022 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS) Pub Date : 2022-12-21 DOI: 10.1109/AGERS56232.2022.10093289

A. Agustan, Takeo Ito, E. Kriswati, H. Priyadi, Heri Sadmono, R. Hernawati

{"title":"Time Series InSAR Analysis over Jakarta Metropolitan Area","authors":"A. Agustan, Takeo Ito, E. Kriswati, H. Priyadi, Heri Sadmono, R. Hernawati","doi":"10.1109/AGERS56232.2022.10093289","DOIUrl":"https://doi.org/10.1109/AGERS56232.2022.10093289","url":null,"abstract":"Most of the previous geoscience studies in Jakarta found that the area is affected by land subsidence. However, it is difficult to understand the spatial distribution since continuous geodetic observation is not available. The development of SAR satellite-based remote sensing enables ground deformation observation over a long period and in regular time. This study presents the ground deformation time series analysis for the Jakarta Metropolitan area based on the InSAR technique. Using the small baseline subset approach, we construct time series of ground deformation constrained from Sentinel-1 interferograms provided by ASF DAAC Hyp3. Mintpy tool is utilized to obtain the time series analysis. It is found that for 7.6 years observation period since late 2014, land subsidence was only locally spotted in certain areas. The average velocity of ground deformation in the Jakarta Metropolitan area varies from −5.8 cm/year to 1.2 cm/year. It means uplift phenomena are also detected in Jakarta metropolitan area. It is also found that the time series of ground deformation fluctuates in seasonal patterns and may relate to ground water recharge during the rainy season.","PeriodicalId":370213,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121698618","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