Estimating Vertical Land Motion from Remote Sensing and In-Situ Observations in the Dubrovnik Area (Croatia): A Multi-Method Case Study

Different space-borne geodetic observation methods combined with in-situ measurements enable resolving the single-point vertical land motion (VLM) and/or the VLM of an area. Continuous Global Navigation Satellite System (GNSS) measurements can solely provide very precise VLM trends at specific sites...

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Bibliographic Details
Main Authors: Marijan Grgić, Josip Bender, Tomislav Bašić
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/12/21/3543
Description
Summary:Different space-borne geodetic observation methods combined with in-situ measurements enable resolving the single-point vertical land motion (VLM) and/or the VLM of an area. Continuous Global Navigation Satellite System (GNSS) measurements can solely provide very precise VLM trends at specific sites. VLM area monitoring can be performed by Interferometric Synthetic Aperture Radar (InSAR) technology in combination with the GNSS in-situ data. In coastal zones, an effective VLM estimation at tide gauge sites can additionally be derived by comparing the relative sea-level trends computed from tide gauge measurements that are related to the land to which the tide gauges are attached, and absolute trends derived from the radar satellite altimeter data that are independent of the VLM. This study presents the conjoint analysis of VLM of the Dubrovnik area (Croatia) derived from the European Space Agency’s Sentinel-1 InSAR data available from 2014 onwards, continuous GNSS observations at Dubrovnik site obtained from 2000, and differences of the sea-level change obtained from all available satellite altimeter missions for the Dubrovnik area and tide gauge measurements in Dubrovnik from 1992 onwards. The computed VLM estimates for the overlapping period of three observation methods, i.e., from GNSS observations, sea-level differences, and Sentinel-1 InSAR data, are <inline-formula><math display="inline"><semantics><mrow><mo>−</mo><mn>1.93</mn><mo>±</mo><mn>0.38</mn></mrow></semantics></math></inline-formula> mm/yr, <inline-formula><math display="inline"><semantics><mrow><mo>−</mo><mn>2.04</mn><mo>±</mo><mn>0.22</mn></mrow></semantics></math></inline-formula> mm/yr, and <inline-formula><math display="inline"><semantics><mrow><mo>−</mo><mn>2.24</mn><mo>±</mo><mn>0.46</mn></mrow></semantics></math></inline-formula> mm/yr, respectively.
ISSN:2072-4292