Výsledky vyhledávání - "Hayati, Noorlaila"

Akademický článek

A Computation to Generate 2D and 3D Vector Displacements Using InSAR Ascending and Descending Source Data (Case Studies: Landslides and Earthquake in Indonesia).

Autor: HAYATI, NOORLAILA^1,2 noorlaila@geodesy.its.ac.id, NIEMEIER, WOLFGANG², MAULIDA, PUTRA¹, BIORESITA, FILSA¹, NURYANI, HESTY WAHYU¹

Publikováno v: Indonesian Journal on Geoscience. Dec2023, Vol. 10 Issue 3, p323-334. 12p.

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Akademický článek

Mapping carbon dioxide (CO2) emissions from peat subsidence using carbon parameters and InSAR observations in South Kalimantan, Indonesia.

Autor: Sari, Noorkomala¹ noorlaila@geodesy.its.ac.id, Hayati, Noorlaila², Uzzulfa, Maulida A.², Arief, Rahmat³, Krisna, Trismono Candra⁴

Publikováno v: Soil Science Annual. 2023, Vol. 74 Issue 2, p1-10. 10p.

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Small baselines techniques of time series InSAR to monitor and predict land subsidence causing flood vulnerability in Sidoarjo, Indonesia

Autor: Hayati, Noorlaila, Widodo, Amien, Kurniawan, Akbar, Sanjiwani, I Dewa Made Amertha, Darminto, Mohammad Rohmaneo, Yudha, Imam Satria, Sumantyo, Josaphat Tetuko Sri

Publikováno v: Geomatics, Natural Hazards and Risk. 13:2124-2150

Floods are the most common sort of natural disaster that occurs when a body of water overflows and submerges on dry terrain. Several regions in Sidoarjo District, East Java such as Kedungbanteng and Banjarasri Village, have experienced floods with va

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5003743205e4ab570baf9842ef1e147e
https://doi.org/10.1080/19475705.2022.2109518

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Akademický článek

The Use of Sentinel-1 in Response to Sequences of Natural Disasters in Indonesia: The South Kalimantan Floods and The Mamuju-Majene Earthquake.

Autor: Hayati, Noorlaila, Ghifary Royyan, M., Arief, Rahmat, Darminto, Mohammad Rohmaneo

Publikováno v: IOP Conference Series: Earth & Environmental Science; 2023, Vol. 1127 Issue 1, p1-11, 11p

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Monitoring von Hangbewegungen mit InSAR Techniken im Gebiet Ciloto, Indonesien

Autor: Hayati, Noorlaila

In this doctoral thesis, the InSAR techniques are applied to detect the ground movement phenomenon and to assess the InSAR result geometrically in the Ciloto area, Indonesia. Mainly, one of those techniques, the SB-SDFP algorithm, overcomes the limit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c9b92623e2c82bab37de84861d6fd16
https://leopard.tu-braunschweig.de/receive/dbbs_mods_00068405