THE FEASIBILITY OF FUSING SATELLITE IMAGERIES FOR HIGH-FREQUENCY SEA LEVEL MONITORING

Authors

  • Andriani Putri Teknologi Informasi, Universitas Teuku Umar
  • Sri Azizah Nazhifah Informatika, Universitas Syiah Kuala
  • Abdurrahman Ridho Teknologi Informasi, Universitas Teuku Umar
  • Hayatun Maghfirah Teknologi Informasi, Universitas Teuku Umar
  • Cut Mutia Teknologi Informasi, Universitas Teuku Umar
  • Cukri Rahmi Niani Teknologi Informasi, Universitas Teuku Umar
  • Sanusi Sanusi Teknologi Informasi, Universitas Teuku Umar

DOI:

https://doi.org/10.22373/cj.v8i1.23504

Keywords:

image fusion, sea level monitoring, water index

Abstract

Enhancing the capacity to monitor swift environmental shifts at finer scales requires satellite image that offers high spatial and temporal resolution. However, no individual satellite can offer images meeting both criteria simultaneously. To tackle this challenge, spatial temporal fusion algorithms have been developed to derive fine-scale and time-series images. Conversely, effective monitoring of water levels is crucial for preventing natural disaster, such as flood and tsunami mitigation. Yet, monitoring these natural changes regularly poses challenges for remote sensing satellites, given their limitations in either spatial or temporal resolution. For instance, the spatial resolution of 30 meters of Landsat 8 provides imagery with a but lacks the temporal resolution needed to capture dynamic events. On the contrary, the Himawari 8 has the capability to monitor the entire hemisphere every 10 minutes. However, its inadequate resolution affects the precision of sea water change mapping.  This research seeks to utilize Landsat OLI and Himawari-8 images jointly for tracking sea level variation patterns. Our approach involves calculating a water index from both Landsat and Himawari images, then using an image fusion algorithm to merge these indices. Next, we identify water coverage by applying a specific threshold on the water index. The comparison of water percentages with reference water height observations has delivered encouraging outcomes.

Author Biography

References

B. S. Hague, R. B. Grayson, S. A. Talke, M. T. Black, & D. Jakob, The effect of tidal range and mean sea-level changes on coastal flood hazards at Lakes Entrance, south-east Australia. Journal of Southern Hemisphere Earth Systems Science, 73(2), 116-130. 2023.

C. Albertini, A. Gioia, V. Iacobellis, & S. Manfreda, Detection of surface water and floods with multispectral satellites. Remote Sensing, 14(23), 6005. 2022.

J. Xiao, A. K. Aggarwal, N. H. Duc, A. Arya, U. K. Rage, & R. Avtar, A review of remote sensing image spatiotemporal fusion: Challenges, applications and recent trends. Remote Sensing Applications: Society and Environment, 101005. 2023.

G. Yang, M. Zhou, K. Yan, A. Liu, X. Fu, & F. Wang, Memory-augmented deep conditional unfolding network for pan-sharpening. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 1788-1797). 2022.

Y. Chen, K. Shi, Y. Ge, & Y. N. Zhou, Spatiotemporal remote sensing image fusion using multiscale two-stream convolutional neural networks. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-12. 2022.

L. Chang, L. Cheng, C. Huang, S. Qin, C. Fu, & S. Li, Extracting urban water bodies from Landsat imagery based on mNDWI and HSV transformation. Remote Sensing, 14(22), 5785. 2022.

R. K. NH, Study of fluctuations in surface area of Lake Haramaya using NDWI and MNDWI methods. JGISE: Journal of Geospatial Information Science and Engineering, 5(1), 36-41. 2022.

J. Laonamsai, P. Julphunthong, T. Saprathet, B. Kimmany, T. Ganchanasuragit, P. Chomcheawchan, & N. Tomun, Utilizing NDWI, MNDWI, SAVI, WRI, and AWEI for estimating erosion and deposition in Ping River in Thailand. Hydrology, 10(3), 70. 2023.

O. S. Belhaj, S. T. Mubako, C. E. T. R. E. Aldouri, W. L. Hargrove, & E. A. Hadia, Determination of change in surface waterbodies in the middle rio grande basin by modified normalized difference water index (MNDWI) 1994-2020, Libya. Jou. of Eco. & Enviro. Sci. and Tech, 4(2), 67-80. 2022.

S. Park, N. W. Park, & S. I. Na, An object-based weighting approach to spatiotemporal fusion of high spatial resolution satellite images for small-scale cropland monitoring. Agronomy, 12(10), 2572. 2022.

Downloads

Additional Files

Published

2024-03-31

Issue

Vol. 8 No. 1 (2024)

Section

Articles

License

Authors who publish with Cyberspace Journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).