Applied Research in Geographical Sciences

Applied Research in Geographical Sciences

Evaluation of the performance of Satellite photographs Corona , Hexagon and Aster images in preparing the map of the boundary and coastline of zaribar Lake and extracting the amount of changes in the lake surface

Authors
Hedayat Sheikh Ghaderi 1
abdulsalam ‪aminpour 2
Parviz Ziaeian Firoozabadi 3
1 Masters student of gis and remote sensing, kharazmi University
2 ms student of gis and remote sensing , kharazmi University
3 Associate Professor of gis and remote sensing, kharazmi University
10.52547/jgs.24.72.401
Abstract
Corona and Hexagon satellite photographs with a spatial resolution of 1.8 to 9 meters are a good source for monitoring and evaluating changes in surface phenomena. The purpose of this study is to monitor the changes in Zaribar Lake in the period 1969-2019 using the data of Corona, Hexagon and Aster satellites and their ability to monitor and extract the coastline, lake boundary and water surface. In this study, to geometric correction the corona and hexagon data from Google Earth images, linear extraction algorithms, binary mask and mean shift segmentation were used to extract the coastline and lake boundary, detect lake changes and extract and monitor the water area of ​​Zaribar Lake. The results showed that in the first step: geometric correction of corona and hexagon images was obtained using Google Earth images with RMSE of 0.3 and 0.4 pixels. In the second stage, the linear extraction algorithm for extracting the lake boundary and coastline using corona and hexagon photographs has high accuracy and has a high correlation with the topographic map of 1.50000. In the third step, the unsupervised classification of binary mask method, in order to detect lake changes using corona and hexagon photographs, acceptablely identified the altered and unchanged pixels, so that 11 hectares of lake surface had the most changes. Finally, in the fourth step, it was found that the mean shift segmentation algorithm and threshold worked better by applying the corona, hexagon, and Aster events to extract the water surface, and in the meantime, the corona image performed better due to its higher resolution. The above results showed that Zaribar Lake decreased by 6.5% from 1969 to 2019 and the findings have a high correlation with the product of the ester aquifer. In general, the findings of this study show the potential of using digital image processing methods for corona and hexagon data to monitor and detect changes in lakes.
Keywords
Corona
Hexagon
ASTER
mean shift segmentation
linement extraction
binary mask
Zaribar Lake
Aster User Guide, v. 3 ,1, 2001.
Barton, I.J. and J.M. Bathols, Monitoring floods with AVHRR. Remote sensing of Environment, 1989. 30(1): p. 89-94.
Bayram, B. Bayraktar, H. Helvaci, C. & Acar, U. (2004). Coastline change detection using CORONA, SPOT and IRS 1D images. International Archives of Photogrammetry and Remote Sensing, 35, 437-441.
Bindschadler, R. & Vornberger, P. (1998). Changes in the West Antarctic ice sheet since 1963 from declassified satellite photography. Science, 279(5351), 689-692.
Burnett, M.G. (2012) Hexagon (KH-9) Mapping Program and Evolution. National Reconnaissance Office, Chantilly, Virginia. ISBN: 978-1-937219-08-6.
Canny, J. A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. 1986, PAMI-8, 679–698. CrossRef]
Chen, G., Hay, G. J., Carvalho, L. M., & Wulder, M. A. (2012). Object-based change detection. International Journal of Remote Sensing, 33(14), 4434-4457.
Coops, N. C., Wulder, M. A., & White, J. C. (2006). 2 Identifying and Describing Forest Disturbance and Spatial Pattern: Data Selection Issues and. Understanding forest disturbance and spatial pattern: Remote sensing and GIS approaches, 31.
Coppin,Pol R. and Marvin E. Bauer. (1996). Change Detection in Forest Ecosystems with Remote Sensing Digital Imagery. Remote Sensing Reviews 13:207-234.
Dashora, A., Lohani, B., & Malik, J. N. (2007). A repository of earth resource information–CORONA satellite programme. Current Science, 926-932.
Dehecq, A., Gardner, A. S., Alexandrov, O., McMichael, S., Hugonnet, R., Shean, D., & Marty, M. (2020). Automated processing of declassified KH-9 Hexagon satellite images for global elevation change analysis since the 1970s. Frontiers in Earth Science, 8, 566802.
Evora, N.D., D. Tapsoba, and D. De Seve, Combining artificial neural network models, geostatistics, and passive microwave data for snow water equivalent retrieval and mapping. IEEE Transactions on Geoscience and Remote Sensing, 2008. 46(7): p. 1925-1939.
Galiatsatos, N. (2009). The shift from film to digital product: focus on CORONA imagery. Photogrammetrie-Fernerkundung-Geoinformation., (3), 251-260.
Goerlich, F., Bolch, T., Mukherjee, K., & Pieczonka, T. (2017). Glacier mass loss during the 1960s and 1970s in the Ak-Shirak range (Kyrgyzstan) from multiple stereoscopic Corona and Hexagon imagery. Remote Sensing, 9(3), 275.
Green, B., 2002. Canny edge detection tutorial. Retrieved: March, 6, p.2005.Hanssen, R.F., 2001. Radar interferometry: data interpretation and error analysis (Vol. 2). Springer Science & Business Media.
Grosse, G., Schirrmeister, L., Kunitsky, V. V., & Hubberten, H. W. (2005). The use of CORONA images in remote sensing of periglacial geomorphology: an illustration from the NE Siberian coast. Permafrost and periglacial processes, 16(2), 163-172.
Holzer, N., Vijay, S., Yao, T., Xu, B., Buchroithner, M., & Bolch, T. (2015). Four decades of glacier variations at Muztag Ata (Eastern Pamir): a multi-sensor study including Hexagon KH-9 and Pléiades data. Cryosphere Discussions, 9(2).
https://earthexplorer.usgs.gov/
https://lpdaac.usgs.gov/products/astwbdv001/
Imani, S., Niksokhan, M.H., Jamshidi, S. et al. Discharge permit market and farm management nexus: an approach for eutrophication control in small basins with low-income farmers. Environ Monit Assess 189, 346 (2017). https://doi.org/10.1007/s10661-017-6066-4/
JUPP, D. L. (1988). Background and extensions to depth of penetration (DOP) mapping in shallow coastal waters. In Proceeding of The Symposium on Remote Sensing of the Coastal Zone Queensland.
Lamsal, D., Fujita, K., & Sakai, A. (2017). Surface lowering of the debris-covered area of Kanchenjunga Glacier in the eastern Nepal Himalaya since 1975, as revealed by Hexagon KH-9 and ALOS satellite observations. The Cryosphere, 11(6), 2815.
Liang, K., & Li, Y. (2019). Changes in lake area in response to climatic forcing in the endorheic Hongjian Lake Basin, China. Remote Sensing, 11(24), 3046.
Maini, R.; Aggarwal, H. Study and comparison of various image edge detection techniques. Int. J. Image Process. 2009, 3, 1–11.
Mihai, B., Nistor, C., Toma, L., & Săvulescu, I. (2016). High resolution landscape change analysis with CORONA KH-4B imagery. A case study from Iron Gates Reservoir Area. Procedia Environmental Sciences, 32, 200-210.
Pieczonka, T., Bolch, T., Junfeng, W., & Shiyin, L. (2013). Heterogeneous mass loss of glaciers in the Aksu-Tarim Catchment (Central Tien Shan) revealed by 1976 KH-9 Hexagon and 2009 SPOT-5 stereo imagery. Remote Sensing of Environment, 130, 233-244.
Qi, H. and M. Altinakar, Simulation-based decision support system for flood damage assessment under sensing and census block information. Natural uncertainty using remote hazards, 2011. 59(2): p. 1125-1143.
Rendenieks, Z., Nita, M. D., Nikodemus, O., & Radeloff, V. C. (2020). Half a century of forest cover change along the Latvian-Russian border captured by object-based image analysis of Corona and Landsat TM/OLI data. Remote Sensing of Environment, 249, 112010.
Rigina, O. (2003). Detection of boreal forest decline with high-resolution panchromatic satellite imagery. International Journal of Remote Sensing, 24(9), 1895-1912.
Rokni, K., Ahmad, A., Selamat, A., & Hazini, S. (2014). Water feature extraction and change detection using multitemporal Landsat imagery. Remote sensing, 6(5), 4173-4189.
Rokni, K., Ahmad, A., Solaimani, K., & Hazini, S. (2015). A new approach for surface water change detection: Integration of pixel level image fusion and image classification techniques. International Journal of Applied Earth Observation and Geoinformation, 34, 226-234.
Sandric, I., Mihai, B., Savulescu, I., Suditu, B., & Chitu, Z. (2007, April). Change detection analysis for urban development in Bucharest-Romania, using high resolution satellite imagery. In 2007 Urban Remote Sensing Joint Event (pp. 1-8). IEEE.
Singh, A. (1989). Review article digital change detection techniques using remotely-sensed data. International journal of remote sensing, 10(6), 989-1003.
Song, D. X., Huang, C., Sexton, J. O., Channan, S., Feng, M., & Townshend, J. R. (2015). Use of Landsat and Corona data for mapping forest cover change from the mid-1960s to 2000s: Case studies from the Eastern United States and Central Brazil. ISPRS Journal of Photogrammetry and Remote Sensing, 103, 81-92.
Statistics and information of environment organization2006: 124-141 (Persian).
Stratoulias, D., & Kabadayı, M. E. (2020, August). Feature and information extraction for regions of Southeast Europe from Corona satellite images acquired in 1968. In Eighth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2020) (Vol. 11524, p. 115241R). International Society for Optics and Photonics.
Surazakov, A., & Aizen, V.B. (2010). Positional accuracy evaluation of declassified Hexagon KH-9 mapping camera imagery. Photogrammetric Engineering and Remote Sensing, 76, 603–608.
T. Celik, "Change detection in satellite images using a genetic algorithm approach," IEEE Geoscience and Remote Sensing Letters, vol. 7, pp. 386-390, 2010
Tappan, G. G., Hadj, A., Wood, E. C., & Lietzow, R. W. (2000). Use of Argon, Corona, and Landsat imagery to assess 30 years of land resource changes in west-central Senegal. Photogrammetric engineering and remote sensing, 66(6), 727-736.
Zhang, Y., I.O. Odeh, and E. Ramadan, Assessment of land surface temperature in relation to landscape metrics and fractional vegetation cover in an urban/peri-urban region using Landsat data. International Journal of Remote Sensing, 2013. 34(1): p. 168-189.