Spatio-temporal analysis of river morphological changes and erosion detection using very high resolution satellite image

Mohamad, Noor Ashikin; Khanan, M. F. Abdul; Musliman, Ivin Amri; Kadir, Wan Hazli Wan; Ahmad, Anuar; Rahman, Muhammad Zulkarnain Abdul; Jamal, Mohamad Hidayat; Zabidi, Muhammad Mun'im Ahmad; Suaib, Norhaida Mohd; Zain, Rasif Mohd.

doi:10.1088/1755-1315/169/1/012020

Cited by 8 publications

(5 citation statements)

References 12 publications

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“…This study area was designated as a UNESCO Kilim Karst Geoforest Park (KKGP) in 2007. The Kilim River has a semi-diurnal tide because it is located at 6 • 21.518 -6 • 26.093 N and 99 • 51.159 -99 • 51.159 E [4]. Although the Kilim River is approximately three kilometres from the coastal area, the tidal effect still exists and affects the Kilim River.…”

Section: Study Areamentioning

confidence: 99%

“…Total stations, terrestrial laser scanners (TLS), electronic distance measurement (EDM), and other surveying equipment that needs a tripod are hardly set up in this terrain. The alternative way to monitor erosion in the mangrove environment is to use the shifting of the mangrove boundary/vegetation line, as discovered by [3][4][5]. However, the study only looks at the surface of the mangrove canopy and ignores the hidden features beneath it.…”

Section: Introductionmentioning

confidence: 99%

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Surface Elevation Changes Estimation Underneath Mangrove Canopy Using SNERL Filtering Algorithm and DoD Technique on UAV-Derived DSM Data

Mohamad

Ahmad

Khanan

et al. 2021

IJGI

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Estimating surface elevation changes in mangrove forests requires a technique to filter the mangrove canopy and quantify the changes underneath. Hence, this study estimates surface elevation changes underneath the mangrove canopy through vegetation filtering and Difference of DEM (DoD) techniques using two epochs of unmanned aerial vehicle (UAV) data carried out during 2016 and 2017. A novel filtering algorithm named Surface estimation from Nearest Elevation and Repetitive Lowering (SNERL) is used to estimate the elevation height underneath the mangrove canopy. Consequently, DoD technique is used to quantify the elevation change rates at the ground surface, which comprise erosion, accretion, and sedimentation. The significant findings showed that region of interest (ROI) 5 experienced the highest volumetric accretion (surface raising) at 0.566 cm3. The most increased erosion (surface lowering) was identified at ROI 8 at −2.469 cm3. In contrast, for vertical change average rates, ROI 6 experienced the highest vertical accretion (surface raising) at 1.281 m. In comparison, the most increased vertical erosion (surface lowering) was spotted at ROI 3 at −0.568 m. The change detection map and the rates of surface elevation changes at Kilim River enabled authorities to understand the situation thoroughly and indicate the future situation, including its interaction with sea-level rise impacts.

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Section: Study Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Surface Elevation Changes Estimation Underneath Mangrove Canopy Using SNERL Filtering Algorithm and DoD Technique on UAV-Derived DSM Data

Mohamad

Ahmad

Khanan

et al. 2021

IJGI

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“…This study area received recognition as the UNESCO Kilim Karst Geoforest Park (KKGP) in 2007. The Kilim River is located at 6°21.518′–6°26.093′ N and 99°51.159–99°51.159′ E, allowing this river to have a semi-diurnal tide, and this river also experiences two high and two low tides per day [45]. Although the Kilim River is approximately 3 kilometers from the coastal area, the tidal effect still exists and affects the river.…”

Section: Study Areamentioning

confidence: 99%

Evaluating Water Level Changes at Different Tidal Phases Using UAV Photogrammetry and GNSS Vertical Data

Mohamad

Khanan

Ahmad

et al. 2019

Sensors

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Evaluating water level changes at intertidal zones is complicated because of dynamic tidal inundation. However, water level changes during different tidal phases could be evaluated using a digital surface model (DSM) captured by unmanned aerial vehicle (UAV) with higher vertical accuracy provided by a Global Navigation Satellite System (GNSS). Image acquisition using a multirotor UAV and vertical data collection from GNSS survey were conducted at Kilim River, Langkawi Island, Kedah, Malaysia during two different tidal phases, at high and low tides. Using the Structure from Motion (SFM) algorithm, a DSM and orthomosaics were produced as the main sources of data analysis. GNSS provided horizontal and vertical geo-referencing for both the DSM and orthomosaics during post-processing after field observation at the study area. The DSM vertical accuracy against the tidal data from a tide gauge was about 12.6 cm (0.126 m) for high tide and 34.5 cm (0.345 m) for low tide. Hence, the vertical accuracy of the DSM height is still within a tolerance of ±0.5 m (with GNSS positioning data). These results open new opportunities to explore more validation methods for water level changes using various aerial platforms besides Light Detection and Ranging (LiDAR) and tidal data in the future.

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“…There are different methods to monitoring erosion/deposition, whose accuracy varies depending on the technology utilized [32,33]. The time interval in which the measurements are repeated is an important factor in determining the temporal and spatial evolution of the phenomenon.…”

Section: Introductionmentioning

confidence: 99%

River Sand and Gravel Mining Monitoring Using Remote Sensing and UAVs

et al. 2023

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The development of methodologies for analyzing the evolution and pressures exerted on the river channel network is one of the main concerns of researchers today. The assessment of natural or artificial changes of river channels and beds plays an important role in environmental protection, but also in the implementation of integrated water resource management plans. Given the episodic and dynamic nature of river bank and bed erosion, along with the difficulty of reaching certain reaches, a methodological approach that uses aerial imagery, initially from satellite sources and afterwards from unmanned aerial vehicles, is proposed. This approach was utilized in a perennial river in Romania but also in an ephemeral torrent channel in Greece, in order to test the prevalent types of hydrographic network in the Mediterranean and Black Sea region. The methodology used was able to identify the location and the volume of the bed material extracted and the time frame in which it occurred. These encouraging results showcase an accurate but also relevantly low-cost monitoring method for illegal anthropogenic activities that can be easily adopted by the responsible authorities. The adoption of the method will contribute to the more efficient monitoring of river protection, by accurately and timely identifying areas of illegal river bed extraction that will enable authorities to enforce European Union and national legislation.

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Spatio-temporal analysis of river morphological changes and erosion detection using very high resolution satellite image

Cited by 8 publications

References 12 publications

Surface Elevation Changes Estimation Underneath Mangrove Canopy Using SNERL Filtering Algorithm and DoD Technique on UAV-Derived DSM Data

Surface Elevation Changes Estimation Underneath Mangrove Canopy Using SNERL Filtering Algorithm and DoD Technique on UAV-Derived DSM Data

Evaluating Water Level Changes at Different Tidal Phases Using UAV Photogrammetry and GNSS Vertical Data

River Sand and Gravel Mining Monitoring Using Remote Sensing and UAVs

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