BENTHIC HABITAT CLASSIFICATION OF SHALLOW WATER USING WORLDVIEW-2 IMAGERY WITH IN-SITU AND DRONE DATA
Article Sidebar
Accepted
8 May 2020
Published
27 April 2020
Keywords:
-
drones, GTH, high resolution satellites, photogrammetry, VGT
Abstract
The Worldview-2 imagery application with groud truth habitat data still has shortcomings that require a long time, limited access, high costs and risk factors. Surveying techniques using drones can reduce these limitations. This study aims to classify and test the accuracy of shallow water habitat classification results in Lancang Island and Sebaru Besar Island from Worldview-2 imagery with ground truth habitat (GTH) and virtual ground truth (VGT) input data and explore the spatial resolution of drone images at altitude different. Overall accuracy results were obtained for 7 habitat classes on Lancang Island with GTH and VGT data of 65.5% and 60.6%, respectively. Whereas in Sebaru Besar Island they were 67.5% and 64.6%, respectively. Comparison of the accuracy of the classification results obtained 4.9% selisi on Lancang Island and 2.9% on Sebaru Besar Island. Significance test results of the GTH and VGT methods on Lancang Island were significantly different with a Z value of 2.0851, while on Sebaru Besar Island it was not significantly different from the Z value of 0.5255, so that benthic habitat mapping with the VGT method could be used as an alternative in-situ field observation, however this still requires further research.
References
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Mastu, L.O.K., B. Nababan, & J.P. Panjaitan. 2018. Pemetaan habitat bentik berbasis objek menggunakan citra sentinel-2 di Perairan Pulau Wangi-Wangi Kabupaten Wakatobi. J. Ilmu dan Teknologi Kelautan Tropis, 10(2): 381-396. https://doi.org/10.29244/jitkt.v10i2.21039
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Ratcliffe, N., D. Guihen, J. Robst, S. Crofts, A. Stanworth, & P. Enderlein, 2015. A protocol for the aerial survey of penguin colonies using UAVs. J. Unmanned Vehicle Systems, 3(3): 95–101. https://doi.org/10.1139/juvs-2015-0006
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Siregar, V. 2010. Pemetaan substrat dasar perairan dangkal karang congkak dan lebar Kepulauan Seribu menggunakan citra satelit quick bird. J. Ilmu dan Teknologi Kelautan Tropis, 2(1): 19-30. https://doi.org/10.29244/jitkt.v2i1.7860
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Waugh. E. & M. Mowlem. 2010. Technical note: a low cost unmanned aerial vehicle for ship based science missions. Copernicus Publications on behalf of the European Geosciences Union. Ocean Science, 6(3): 615-619. https://doi.org/10.5194/os-6-615-2010
Badan Informasi Geospasial (BIG). 2017. Peraturan Badan Informasi Geospasial Nomor 7 Tahun 2017 Tentang Kompetensi Kerja Di Bidang Informasi Geospasial. BIG. 10 p.
Casella, E., A. Collin, D. Harris, S. Ferse, S. Bejarano, V. Parravicini, J.L. Hench, & A. Rovere. 2017. Mapping coral reefs using consumer-grade drones and structure from motion photogrammetry techniques. Coral Reefs, 36(1): 269-275. https://doi.org/m10.1007/s00338-016-1522-0
Casella, E., A. Rovere, A. Pedroncini, C.P. Stark, M. Casella, M. Ferrari, & M. Firpo. 2016. Drones as tools for monitoring beach topography changes in the Ligurian Sea (NW Mediterranean). Geo-Marine Letters, 36(2): 151-163. https://doi.org/10.1007/s00338-016-1522-0
Colefax, A.P., P.A. Butcher, B.P. Kelaher, Browman, & H. He. 2017. The potential for unmanned aerial vehicles (UAVs) to conduct marine fauna surveys in place of manned aircraft. ICES J. Mar. Sci., 75(1): 1-8. https://doi.org/10.1093/icesjms/fsx100
Colomina, I. & P. Molina. 2014. Unmanned aerial systems for photogrammetry and remote sensing: A review. ISPRS J. of Photogrammetry and Remote Sensing, 92(C): 79-97. https://doi.org/10.1016/j.isprsjprs.2014.02.013
Congalton, R.G. & K. Green. 2009. Assessing the accuracy of remotely sensed data-principles and practices (second edition). CRC Taylor & Francis. France (FR). 55-127 pp.
Crutsinger, G.M., J. Short, & R. Sollenberger. 2016. The future of UAVs in ecology: an insider perspective from the Silicon Valley drone industry. J. of Unmanned Vehicle Systems, 4(1): 1–8. https://doi.org/10.1139/juvs-2016-0008
Danoedoro, P. 2012. Pengantar Penginderaan Jauh Digital. Andi Offset. Yogyakarta (ID). 398 p.
Darmawan, S. 2008. Perkembangan teknologi geoinformasi di indonesia: Global Positioning System (GPS), Remote Sensing (RS) dan Sistem Informasi Geografis (SIG). ITB Press. Bandung.
Da-Jiang Innovations Science and Technology (DJI). 2017. Mavic Pro: User manual. DJI. 61 p.
Da-Jiang Innovations Science and Technology (DJI). 2016. Phantom 3 Professional: User manual. DJI. 57 p.
Floreano, D. & J.W. Robert. 2015. Science, technology and the future of small autonomous drones. Nature, 521(7553): 460–466. https://doi.org/10.1038/nature14542
Green, E.P., P.J. Mumby, A.J. Edwards, & C.D. Clark. 2000. Remote sensing handbook for tropical coastal management. UNESCO Pub. Paris (FR). 316 p.
Hafizt, M. & P. Danoedoro. 2015. Kajian pengaruh koreksi kolom air pada citra multispektral worldview-2 untuk pemetaan habitat bentik di Pulau Kemujan Kepulauan Karimunjawa Kabupaten Jepara. Kongres Vi Mapin 2015. Mapin Jabodetabek. Bogor. 566-574 pp.
Hedley, J.D., C.M. Roelfsema, I. Chollett, A.R. Harborne, S.F. Heron, S. Weeks, W.J. Skirving, A.E. Strong, C.M. Eakin, T.R.L. Christensen, V. Ticzon, S. Bejerano, & P.J. Mumby. 2016. Remote sensing of coral reefs for monitoring and management: a review. Remote Sensing, 8: 118–157. https://doi.org/10.3390/rs8020118
Kabiria, K., H. Rezaib, & M. Moradia. 2018. Mapping of the corals around Hendorabi Island (Persian Gulf), using Worldview-2 standard imagery coupled with field observations. Marine Pollution Bulletin, 129: 266-274. https://doi.org/10.1016/j.marpolbul.2018.02.045
Kiszka, J.J., J. Mourier, K. Gastrich, & M.R. Heithaus. 2016. Using unmanned aerial vehicles (UAVs) to investigate shark and ray densities in a shallow coral lagoon. Marine Ecology Progress Series, 560: 237–242. https://doi.org/10.3354/meps11945
Kohler, K.E. & S.M. Gill. 2006. Coral point count with excel extensions (cpce): A visual basic program for the determination of coral and substrate coverage using random point count methodology. Computers dan Geosciences, 32: 1259-1269. https://doi.org/10.1016/j.cageo.2005.11.009
Mastu, L.O.K., B. Nababan, & J.P. Panjaitan. 2018. Pemetaan habitat bentik berbasis objek menggunakan citra sentinel-2 di Perairan Pulau Wangi-Wangi Kabupaten Wakatobi. J. Ilmu dan Teknologi Kelautan Tropis, 10(2): 381-396. https://doi.org/10.29244/jitkt.v10i2.21039
Mellin, C., S. Andrefouet, M. Kulbicki, M. Dalleau, & L. Vigliola. 2009. Remote sensing and fish habitat relationship in coral reef ecosystem: review and pathways for systematic multiscale hierarchical research. Marine Pollution Bulletin, 58: 11-19. https://doi.org/10.1016/j.marpolbul.2008.10.010
Putra, A.S., W. Ambarwulan, E. Maulana, T.R. Wulan, N. Maulia, M.D. Putra, D.S. Wahyuningsih, F. Ibrahim, & T. Raharjo. 2016. Kajian korelasi antara tinggi terbang dan resolusi foto udara hasil akuisisi dengan UAV di Kawasan Pesisir. Prosiding Seminar Nasional Kelautan 2016. Universitas Trunojoyo Madura, 27 Juli 2016. 216-225 pp.
Ratcliffe, N., D. Guihen, J. Robst, S. Crofts, A. Stanworth, & P. Enderlein, 2015. A protocol for the aerial survey of penguin colonies using UAVs. J. Unmanned Vehicle Systems, 3(3): 95–101. https://doi.org/10.1139/juvs-2015-0006
Richards, J.A. 2013. Remote sensing digital image analysis; Springer: Berlin, Germany. 295-332 pp.
Richards, J. & X. Jia. 2006. Remote sensing digital image analysis. Springer, Berlin. 194-199 pp. https://www.springer.com/gp/book/9783540297116
Roelfsema, C. & S. Phinn. 2008. Evaluating eight field and remote sensing approaches for mapping the benthos of three different coral reef environments in fiji. Remote Sensing of Inland, Coastal, and Oceanic Waters, 7150(F): 1-14. https://doi.org/10.1117/12.804806
Schaub, J., B.P. Hunt, E.A. Pakhomov, K. Holmes, Y. Lu, & L. Quayle. 2018. Using unmanned aerial vehicles (UAV’s) to measure jellyfish aggregations. Marine Ecology Progress Series, 591: 29–36. https://doi.org/10.3354/meps12414
Siregar, V. 2010. Pemetaan substrat dasar perairan dangkal karang congkak dan lebar Kepulauan Seribu menggunakan citra satelit quick bird. J. Ilmu dan Teknologi Kelautan Tropis, 2(1): 19-30. https://doi.org/10.29244/jitkt.v2i1.7860
Sukojo, B.M. & H. Kustarto. 2002. Perbaikan geometrik trase jaringan jalan dengan menggunakan teknologi penginderaan jauh dan sistem informasi geografis. J. Makara, Sains, 6(3): 136-141.
Sulong, I., H.M. Lokman, K.M. Tarmizi, & A. Ismail. 2002. Mangrove mapping using Landsat imagery and aerial photographs: Kemaman District, Terengganu, Malaysia. Environment, Development and Sustainability, 4(2): 135–152. https://doi.org/10.1023/A:1020844620215
Tamondong, A.M., A.C. Blanco, M.D. Fortes, & K. Nadaoka. 2013. Mapping seagrass and other benthic habitats in Balinao, Pangasinan using Worldview-2 Satellite Image. International Geoscience and Remote Sensing Symposium. IEEE. 1579-1582 pp. https://doi.org/10.1109/IGARSS.2013.6723091
Townshend, J.R.G., C.O. Justice, C. Gurney, & J. McManus. 1992. The impact of misregistration on change detection. IEEE Transactions on Geoscience and Remote Sensing, 30(5): 1054-1060. https://doi.org/10.1109/36.175340
Wahidin, N. & R.M. Abdullah. 2018. Pemetaan substrat dasar perairan dangkal menggunakan drone komersial dan teknik fotogrametri. Prosiding Seminar Nasional Inovasi Iptek Perikanan dan Kelautan I. Juni 2018. 621-633 pp.
Waugh. E. & M. Mowlem. 2010. Technical note: a low cost unmanned aerial vehicle for ship based science missions. Copernicus Publications on behalf of the European Geosciences Union. Ocean Science, 6(3): 615-619. https://doi.org/10.5194/os-6-615-2010
Authors
SugaraA., SiregarV. P., & AgusS. B. (2020). BENTHIC HABITAT CLASSIFICATION OF SHALLOW WATER USING WORLDVIEW-2 IMAGERY WITH IN-SITU AND DRONE DATA. Jurnal Ilmu Dan Teknologi Kelautan Tropis, 12(1), 135-150. https://doi.org/10.29244/jitkt.v12i1.26448
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