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N. H. Isya
Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia

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Review
Published: 19 April 2021 in PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science
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The complexity of the atmosphere renders the modelling of the atmospheric delay in multi temporal InSAR difficult. This limits the potential of achieving millimetre accuracy of InSAR-derived deformation measurements. In this paper we review advances in tropospheric delay modelling in InSAR, tropospheric correction methods and integration of the correction methods within existing multi temporal algorithms. Furthermore, we investigate ingestion of the correction techniques by different InSAR applications, accuracy performance metrics and uncertainties of InSAR derived measurements attributed to tropospheric delay. Spatiotemporal modelling of atmospheric delay has evolved and can now be regarded as a spatially correlated turbulent delay with varying degree of anisotropy random in time and topographically correlated seasonal stratified delay. Tropospheric corrections methods performance is restricted to a case by case basis and ingestion of these methods by different applications remains limited due to lack of their integration into existing algorithms. Accuracy and uncertainty assessments remain challenging with most studies adopting simple statistical metrics. While advances have been made in tropospheric modelling, challenges remain for the calibration of atmospheric delay due to lack of data or limited resolution and fusion of multiple techniques for optimal performance.

ACS Style

Pius Kipng’Etich Kirui; Eike Reinosch; Noorlaila Isya; Björn Riedel; Markus Gerke. Mitigation of Atmospheric Artefacts in Multi Temporal InSAR: A Review. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science 2021, 1 -22.

AMA Style

Pius Kipng’Etich Kirui, Eike Reinosch, Noorlaila Isya, Björn Riedel, Markus Gerke. Mitigation of Atmospheric Artefacts in Multi Temporal InSAR: A Review. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science. 2021; ():1-22.

Chicago/Turabian Style

Pius Kipng’Etich Kirui; Eike Reinosch; Noorlaila Isya; Björn Riedel; Markus Gerke. 2021. "Mitigation of Atmospheric Artefacts in Multi Temporal InSAR: A Review." PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science , no. : 1-22.

Journal article
Published: 27 April 2020 in Geosciences
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Landslides are one of the natural hazards that occur annually in Indonesia. A continuous geodetic observation in the landslide prone area is essential to support the precautionary measures. Because of its hilly topography, torrential rainfall and landslide history, the Ciloto district in Indonesia has been affected by ground deformation for an extended period of time. The purpose of our study is to detect significant movement and quantify the kinematics of its motion using the Interferometric synthetic aperture radar (InSAR) time series analysis and multi-band SAR images. We utilized the small baseline SDFP technique for processing multi-temporal SAR data, comprising ERS1/2 (1998–1999), ALOS PALSAR (2007–2009), and Sentinel-1 (2014–2018). Based on the detected deformation signal in the Ciloto area, the displacement rates are categorized as very slow movements. Two active main landslide zones; the Puncak Pass and the Puncak Highway area, which show the trend of slow movement progressively increasing or descreasing, were detected. The integration of the velocity rate between InSAR results and ground observations (e.g., terrestrial and GPS) was conducted at the Puncak Highway area from the temporal perspective. Using the polynomial model, we estimated that the area had cumulatively displaced up to −42 cm for 25 years and the type of movements varied from single compound to multiple rotational and compound.

ACS Style

Noorlaila Hayati; Wolfgang Niemeier; Vera Sadarviana. Ground Deformation in The Ciloto Landslides Area Revealed by Multi-Temporal InSAR. Geosciences 2020, 10, 156 .

AMA Style

Noorlaila Hayati, Wolfgang Niemeier, Vera Sadarviana. Ground Deformation in The Ciloto Landslides Area Revealed by Multi-Temporal InSAR. Geosciences. 2020; 10 (5):156.

Chicago/Turabian Style

Noorlaila Hayati; Wolfgang Niemeier; Vera Sadarviana. 2020. "Ground Deformation in The Ciloto Landslides Area Revealed by Multi-Temporal InSAR." Geosciences 10, no. 5: 156.

Journal article
Published: 29 May 2019 in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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The Indonesian Centre of Volcanology and Geological Hazard Mitigation classified the Ciloto district as one of the most landslide prone areas in Indonesia. Some evidence of ground movement and the landslide failures occurred in recent years. Thus, continuous monitoring is necessary for supporting the precautions of an upcoming landslide. This study applies Small Baselines - Slowly Decorrelated Phase Filter (SDPF) for InSAR processing both for the ascending and the descending data. The primary objective is to generate horizontal and vertical components of InSAR results from two different tracks and slope aspect information in order to retrieve a projection to the northward direction. We used the available Sentinel-1 SAR data from 2014 until 2018. Combination of two orbits is approached by the surface and the nearest-neighbor gridding method. The 3D components were examined at the Puncak Pass, Ciloto, an active landslide area. For the case study area, it appeared that soil materials transferred slowly from the top of main body landslide to the accumulated zone near to the buildings owned by a local resort. The cumulative 3D displacements for three years were computed for the depleted zone: it moved −47, 23, −10 mm for dU, dE and dN, respectively. Meanwhile, the accumulated zone was considered having the up-lift motion to maximum 43, −13, 7 mm, respectively.

ACS Style

N. H. Isya; W. Niemeier; M. Gerke. 3D ESTIMATION OF SLOW GROUND MOTION USING INSAR AND THE SLOPE ASPECT ASSUMPTION, A CASE STUDY: THE PUNCAK PASS LANDSLIDE, INDONESIA. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2019, IV-2/W5, 623 -630.

AMA Style

N. H. Isya, W. Niemeier, M. Gerke. 3D ESTIMATION OF SLOW GROUND MOTION USING INSAR AND THE SLOPE ASPECT ASSUMPTION, A CASE STUDY: THE PUNCAK PASS LANDSLIDE, INDONESIA. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2019; IV-2/W5 ():623-630.

Chicago/Turabian Style

N. H. Isya; W. Niemeier; M. Gerke. 2019. "3D ESTIMATION OF SLOW GROUND MOTION USING INSAR AND THE SLOPE ASPECT ASSUMPTION, A CASE STUDY: THE PUNCAK PASS LANDSLIDE, INDONESIA." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W5, no. : 623-630.

Preprint content
Published: 06 January 2019
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Slow downward movements of slope due to long term influence of gravity and physical environment are becoming a slope creep and intentionally towards the high risk ground movement area. We identify the creeping slopes in Ciloto, the prone landslide area in Indonesia using the advanced InSAR technique. Slowly Decorrelated Phase Filter is chosen as the processing multi-temporal method because the number of scatter candidates are greater than single master persistent scatter (PS) technique considering to rural and agriculture tested areas. A partial tropospheric propagation delay has been reduced as well in term of the phase-based power law correction on each interferogram. The InSAR displacement results are describing a very slow motion which might be no surface geomorphic evidence at the site but result in tilt of poles, slump and crack of structures and roads, or abnormal curvature of trees. We use two independent InSAR observations and aspect information determined by digital elevation model (DEM) assuming that the motion's direction is going to the downward slope. The least square inversion model takes into account for each selected merging ascending and descending scatters to derive 3D vectors; vertical, east-west and north-south components. The firstly two of them are defined based on SAR geometry line of sight looking both from ascending and descending. Since the north-south vector is the most insensitive of slant-range deformation, we assume the horizontal motion owning a projected relationship to slope direction. The result is then simulated to the vertical surface model and horizontal vector displacement on two active zones, Puncak Pass and Puncak Highway Landslides. Considering to two successive Puncak Pass Landslides occurred in February and March 2018, we construct the pre-event history from 2014 to 2017 and locate the zone of depletion and accumulation with the slope creep displacement of 1-2 cm/year. The vertical moves faster than the horizontal at the head scarp while it shows otherwise on the foot body.

ACS Style

Noorlaila Isya; Wolfgang Niemeier. Combining Sentinel-1 Ascending and Descending Data to Aspect Information in Term of the 3D Slope Creep Behavior. 2019, 1 .

AMA Style

Noorlaila Isya, Wolfgang Niemeier. Combining Sentinel-1 Ascending and Descending Data to Aspect Information in Term of the 3D Slope Creep Behavior. . 2019; ():1.

Chicago/Turabian Style

Noorlaila Isya; Wolfgang Niemeier. 2019. "Combining Sentinel-1 Ascending and Descending Data to Aspect Information in Term of the 3D Slope Creep Behavior." , no. : 1.

Journal article
Published: 01 February 2015 in Geoid
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This paper reviewed the result and processing of digital elevation model (DEM) using L-Band ALOS PALSAR data and two-pass radar interferometry method in Bromo Mountain region. Synthetic Aperture Radar is an advanced technology that has been used to monitor deformation, land cover change, image detection and especially topographic information such as DEM. We used two scenes of SAR imageries to generate DEM extraction which assumed there is no deformation effect between two acquisitions. We could derive topographic information using phase difference by combining two single looks complex (SLC) images called focusing process. The next steps were doing interferogram generation, phase unwrapping and geocoding. DEM-InSAR was compared to SRTM 90m that there were significant elevation differences between two DEMs such as smoothing surface and detail topographic. Particularly for hilly areas, DEM-InSAR showed better quality than SRTM 90 m where the elevation could have 25.94 m maximum gap. Although the processing involved adaptive filter to amplify the phase signal, we concluded that InSAR DEM result still had error noise because of signal wavelength, incidence angle, SAR image relationship, and only using ascending orbit direction.

ACS Style

Noorlaila Hayati; Akbar Kurniawan; Muhammad Taufik. RADAR INTERFEROMETRY APPLICATION FOR DIGITAL ELEVATION MODEL IN MOUNT BROMO, INDONESIA. Geoid 2015, 10, 222 .

AMA Style

Noorlaila Hayati, Akbar Kurniawan, Muhammad Taufik. RADAR INTERFEROMETRY APPLICATION FOR DIGITAL ELEVATION MODEL IN MOUNT BROMO, INDONESIA. Geoid. 2015; 10 (2):222.

Chicago/Turabian Style

Noorlaila Hayati; Akbar Kurniawan; Muhammad Taufik. 2015. "RADAR INTERFEROMETRY APPLICATION FOR DIGITAL ELEVATION MODEL IN MOUNT BROMO, INDONESIA." Geoid 10, no. 2: 222.