Claim Missing Document
Check
Articles

Found 22 Documents
Search

GNSS METEOROLOGY AND LAND SUBSIDENCE OF HEAVY RAINFALL IN JAKARTA ON JANUARY 1, 2020 Arief, Syachrul; Cahyadi, Mokhamad Nur
Journal of Marine-Earth Science and Technology Vol. 1 No. 1 (2020): December
Publisher : Marine & Earth Science and Technology Research Center, DRPM, ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27745449.v1i1.606

Abstract

This study aims to demonstrate that GNSS meteorology can be applied in Indonesia, by estimating the zenith troposphere delay (ZTD) of sustainable GNSS stations in Indonesia, using one of the “goGPS” software packages. As a calculation with rain conditions, the ZTD value was converted into precipitation water vapor (PWV). This research is using GNSS meteorology to be applied into heavy rains at the end of 2019 in Jakarta which was hit by floods on December 31, 2019. According to a report by Geophysical Meteorology and Climatology Agency (BMKG), the main cause of this flood is a high rainfall. The rainfall gauge at Halim Perdanakusuma Station showed 377 mm of rainfall that day. Rain gauges at Taman Mini and Jatiasih stations record rainfall of 335 mm/day and 260 mm / day, respectively. From the GNSS data processing, the PWV values at the five GNSS stations show a similar pattern even though the average between stations is ~ 30 km. The PWV value appeared to be increased at noon on December 30, 2019, and the peak occurs at the end of the day on December 31, 2019. The PWV value showed a sudden drop at midday on January 1, 2020. In the end, the PWV increased again, but not as high as the first peak. From 2 January 2020, the PWV has decreased and has been maintained almost constantly until 4 January. Within this time frame, there were two peak PWV events. The PWV of the first peak was ~ 70 mm and the second peak was ~ 65 mm, and the largest peak PWV was recorded at the CJKT station.
INTEGRATION ANALYSIS OF DRONE MULTI SENSOR-GNSS-LIDAR-CAMERA FOR 3D MAPPING (CASE STUDY: PT GARAM, PAMEKASAN, MADURA) Imani, Daud Wahyu; Cahyadi, Mokhamad Nur; Farid, Imam Wahyu; Mardianto, Ronny
Journal of Marine-Earth Science and Technology Vol. 4 No. 1 (2023): April
Publisher : Marine & Earth Science and Technology Research Center, DRPM, ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27745449.v4i1.699

Abstract

Every year salt was carried out by PT Garam twice whereas the previous process used the method of terrestrial and manual calculations with sacks. Therefore, a map of salt production is needed using the Global Navigation Satellite System (GNSS) and Inertial Measurement Unit (IMU) sensor navigation system to increase the data's accuracy level. Unmanned Aerial Vehicle applications for the purpose of obtaining geometric documentation results and for capturing textures that characterize object structures. (Adamopoulos, 2020). LiDAR can classify based on the number of image acquisitions processed in the software, utilizing photogrammetric, and structural science principles from Motion technology. (Fernández, Hernandez et.al 2015) LiDAR Acquisition process that enables the creation of point clouds, three-dimensional models, and Digital Surface Models with high accuracy. (Barba, et al. 2019). A three-dimensional model makes it easy for users to choose a virtual position on the map, has good accuracy in interpreting the map, and displays a more real shape. LiDAR has a disadvantage in the form of coordinate data positions that have local references. (Cahyadi., et al. 2019). Unmanned Aerial Vehicle (UAV) technology has the advantage of efficiency in the cost and time of data collection. These researchers use multi-sensor technology GNSS, LiDAR, and Drones to map the stockpile of salt on open land and in warehouses. makes it easy to calculate the area of salt land and calculate the volume of salt production. This was done for PT GARAM to meet the community's needs and monitor the amount of salt production. This data can be used as a reference for digital asset inventory and the system can be applied to optimize the salt industry. The drones used in this study are the DJI Matrice 300 and the Low-Cost Drone Tarot Iron Man 650. Both types of drones are used to measure land and salt volume. The end product of the research is in the form of data generated in the form of a point cloud to calculate the salt stockpile volume and the elevation level of the salt land area