Kentsel alanlarda ağaç yükseklik bilgilerinin ICESat-2/ATLAS ve İHA verilerinden elde edilmesi
Yıl 2024,
, 86 - 96, 15.04.2024
Müge Ağca
,
Efdal Kaya
,
Ali İhsan Daloğlu
,
Aslıhan Yücel
,
Sercan Yalçınkaya
Öz
Günümüzde nüfusun artması ile birlikte kentsel alanlar hızlı bir şekilde büyümektedir. Kentsel alanlardaki ağaçların belirlenmesi ve yükseklik bilgilerinin elde edilmesi karbon salınımlarının belirlenmesi, gölge, hava kirliliği gibi birçok disiplin tarafından önemsenen çalışmalar için büyük önem arz etmektedir. Bu çalışmanın genel amacı İnsansız Hava Aracı ve uzaysal ICESat-2/ATLAS sistemlerinden elde edilen veriler kullanılarak kentsel alanlarda ağaç yüksekliklerinin belirlenmesidir. Çalışma alanı olarak İzmir ilinin Balçova ilçesi seçilmiştir. Çalışmada ileri teknolojilerden elde edilen veriler arazide yerinde toplanan veriler ile karşılaştırılmıştır. Kentsel alanda ICESat-2 sisteminden elde edilen yükseklik bilgilerinin doğruluğu RMSE, MSE, MAE, ME, R2, Pearson korelasyon katsayısı, Spearman korelasyon katsayısı ve Kendall korelasyon katsayıları hesaplanarak nicel olarak değerlendirilmiştir. Ayrıca çalışma alanına ait yüksek kalite ve doğrulukta topografik veriler ve ortofoto oluşturulmuştur. Sonuç olarak, yapılan tüm istatistiksel analizler değerlendirildiğinde hem ICESat-2/ATLAS verilerinin (R2: 0.97) hem de İHA verilerinin (R2: 0.98) kentsel alanlarda ağaç yüksekliklerinin belirlenmesinde başarılı sonuçlar verdiği görülmüştür. Bu çalışmada ülkemizde henüz çok yeni bir veri seti olan ICESat-2/ATLAS verilerinin ağaç yükseklik bilgilerinin çıkarılmasındaki performansı analiz edilmiştir. Çalışmadan elde edilen sonuçlar ileride yapılacak olan benzer çalışmalara altlık olacak niteliktedir.
Kaynakça
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- Agca, M., & Daloglu, A. I. (2023). Local Geoid height calculations with GNSS, airborne, and spaceborne Lidar data. The Egyptian Journal of Remote Sensing and Space Science, 26(1), 85-93. https://doi.org/10.1016/j.ejrs.2022.12.009
- Ağca, M. (2020). PALS, ICESat/GLAS ve ICESat-2 Lazer Sistemleri ve Kullanım Alanları. Geomatik, 5(1), 27-35. https://doi.org/10.29128/geomatik.560344
- Ağca, M., Gültekin, N., & Kaya, E. (2020). İnsansız hava aracından elde edilen veriler ile kaya düşme potansiyelinin değerlendirilmesi: Adam Kayalar örneği, Mersin. Geomatik, 5(2), 134-145. https://doi.org/10.29128/geomatik.595574
- Alexander, C., Korstjens, A. H., & Hill, R. A. (2018). Influence of micro-topography and crown characteristics on tree height estimations in tropical forests based on LiDAR canopy height models. International Journal of Applied Earth Observation and Geoinformation, 65, 105-113. https://doi.org/10.1016/j.jag.2017.10.009
- Anderson, C. T., Dietz, S. L., Pokswinski, S. M., Jenkins, A. M., Kaeser, M. J., Hiers, J. K., & Pelc, B. D. (2021). Traditional field metrics and terrestrial LiDAR predict plant richness in southern pine forests. Forest Ecology and Management, 491, 119118. https://doi.org/10.1016/j.foreco.2021.119118
- Barazzetti, L., Scaioni, M., & Remondino, F. (2010). Orientation and 3D modelling from markerless terrestrial images: combining accuracy with automation. The Photogrammetric Record, 25(132), 356-381. https://doi.org/10.1111/j.1477-9730.2010.00599.x
- Bendea, H., Boccardo, P., Dequal, S., Giulio Tonolo, F., Marenchino, D., & Piras, M. (2008). Low cost UAV for post-disaster assessment. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37(B8), 1373-1379.
- Berni, J. A. J., Zarco-Tejada, P. J., Suarez, L., González-Dugo, V., & Fereres, E. (2009b). Remote sensing of vegetation from UAV platforms using lightweight multispectral and thermal imaging sensors. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 38(6), 6.
- Berni, J. A., Zarco-Tejada, P. J., Suárez, L., & Fereres, E. (2009a). Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle. IEEE Transactions on Geoscience and Remote Sensing, 47(3), 722-738. https://doi.org/10.1109/TGRS.2008.2010457
- Chiabrando, F., Nex, F., Piatti, D., & Rinaudo, F. (2011). UAV and RPV systems for photogrammetric surveys in archaelogical areas: two tests in the Piedmont region (Italy). Journal of Archaeological Science, 38(3), 697-710. https://doi.org/10.1016/j.jas.2010.10.022
- Chou, T. Y., Yeh, M. L., Chen, Y. C., & Chen, Y. H. (2010). Disaster monitoring and management by the unmanned aerial vehicle technology. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 38(7B), 137–142.
- Da Cunha Neto, E. M., Rex, F. E., Veras, H. F. P., Moura, M. M., Sanquetta, C. R., Käfer, P. S., ... & Dalla Corte, A. P. (2021). Using high-density UAV-Lidar for deriving tree height of Araucaria Angustifolia in an Urban Atlantic Rain Forest. Urban Forestry & Urban Greening, 63, 127197. https://doi.org/10.1016/j.ufug.2021.127197
- Dirik, H., Erdoğan, R., Altınçekiç, H. S., & Altınçekiç, H. (2014). Kent Ağaçlarının İşlevleri, Koruma Önemi ve Değer Belirleme Yaklaşımları. Artvin Çoruh Üniversitesi Orman Fakültesi Dergisi, 15(2), 161-174. http://dx.doi.org/10.17474/acuofd.74718
- Durgun, H., Çoban, H. O., & Eker, M. (2022). İnsansız hava aracıyla elde edilen hava fotoğraflarından kızılçam ağaçlarının çap ve boylarının ölçümü ve gövde hacminin tahmini. Turkish Journal of Forestry, 23(4), 255-267. https://doi.org/10.18182/tjf.1199567
- Fiorillo, F., Jiménez Fernández-Palacios, B., Remondino, F., & Barba, S. (2015). 3D Surveying and modelling of the Archaeological Area of Paestum, Italy. Virtual Archaeology Review, 4(8), 55-60. https://doi.org/10.4995/var.2013.4306
- Grenzdörffer, G. J., Engel, A., & Teichert, B. (2008). The photogrammetric potential of low-cost UAVs in forestry and agriculture. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 31(B3), 1207-1213.
- Gruen, A., Huang, X., Qin, R., Du, T., Fang, W., Boavida, J., & Oliveira, A. (2013). Joint processing of UAV imagery and terrestrial mobile mapping system data for very high resolution city modeling. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 40, 175-182. https://doi.org/10.5194/isprsarchives-XL-1-W2-175-2013
- Hao, J., Li, X., Wu, H., Yang, K., Zeng, Y., Wang, Y., & Pan, Y. (2023). Extraction and analysis of tree canopy height information in high-voltage transmission-line corridors by using integrated optical remote sensing and LiDAR. Geodesy and Geodynamics, 14(3), 292-303. https://doi.org/10.1016/j.geog.2022.11.008
- Kaya, Y., & Polat, N. (2023). A linear approach for wheat yield prediction by using different spectral vegetation indices. International Journal of Engineering and Geosciences, 8(1), 52-62. https://doi.org/10.26833/ijeg.1035037
- Kohoutek, T. K., & Eisenbeiss, H. (2012). Processing of UAV based range imaging data to generate detailed elevation models of complex natural structures. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 39, 405-410. https://doi.org/10.5194/isprsarchives-XXXIX-B1-405-2012
- Konolige, K., & Agrawal, M. (2008). FrameSLAM: From bundle adjustment to real-time visual mapping. IEEE Transactions on Robotics, 24(5), 1066-1077. https://doi.org/10.1109/TRO.2008.2004832
- Ma, Y., Xu, N., Liu, Z., Yang, B., Yang, F., Wang, X. H., & Li, S. (2020). Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery datasets. Remote Sensing of Environment, 250, 112047. https://doi.org/10.1016/j.rse.2020.112047
- Manyoky, M., Theiler, P., Steudler, D., & Eisenbeiss, H. (2012). Unmanned aerial vehicle in cadastral applications. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 38, 57-62. https://doi.org/10.5194/isprsarchives-XXXVIII-1-C22-57-2011
- Markus, T., Neumann, T., Martino, A., Abdalati, W., Brunt, K., Csatho, B., ... & Zwally, J. (2017). The Ice, Cloud, and land Elevation Satellite-2 (ICESat-2): science requirements, concept, and implementation. Remote Sensing of Environment, 190, 260-273. https://doi.org/10.1016/j.rse.2016.12.029
- Mielcarek, M., Stereńczak, K., & Khosravipour, A. (2018). Testing and evaluating different LiDAR-derived canopy height model generation methods for tree height estimation. International Journal of Applied Earth Observation and Geoinformation, 71, 132-143. https://doi.org/10.1016/j.jag.2018.05.002
- Molina, P., Colomina, I., Vitoria, T., Silva, P. F., Skaloud, J., Kornus, W., ... & Aguilera, C. (2012). Searching lost people with UAVs: the system and results of the close-search project. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 39, 441-446. https://doi.org/10.5194/isprsarchives-XXXIX-B1-441-2012
- Montoya, R. C., D'Amato, A. W., Messier, C., & Nolet, P. (2023). Mapping temperate forest stands using mobile terrestrial LiDAR shows the influence of forest management regimes on tree mortality. Forest Ecology and Management, 544, 121194. https://doi.org/10.1016/j.foreco.2023.121194
- Najatishendi, E., Ergene, E. M., Uzar, M., & Şanlı, F. B. (2022). Production of flood risk maps: Ayancık Stream Example. Mersin Photogrammetry Journal, 4(1), 14-23. https://doi.org/10.53093/mephoj.1123378
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Yıl 2024,
, 86 - 96, 15.04.2024
Müge Ağca
,
Efdal Kaya
,
Ali İhsan Daloğlu
,
Aslıhan Yücel
,
Sercan Yalçınkaya
Kaynakça
- Abdullah, S., Rashid, M. F. A., Tahar, K. N., & Osoman, M. A. (2021). Tree Crown Mapping based on unmanned aerial vehicle (UAV) towards a green-sustainable residential. Plannıng Malaysia Journal, 19(2), 97-107. https://doi.org/10.21837/pm.v19i16.955
- Agca, M., & Daloglu, A. I. (2023). Local Geoid height calculations with GNSS, airborne, and spaceborne Lidar data. The Egyptian Journal of Remote Sensing and Space Science, 26(1), 85-93. https://doi.org/10.1016/j.ejrs.2022.12.009
- Ağca, M. (2020). PALS, ICESat/GLAS ve ICESat-2 Lazer Sistemleri ve Kullanım Alanları. Geomatik, 5(1), 27-35. https://doi.org/10.29128/geomatik.560344
- Ağca, M., Gültekin, N., & Kaya, E. (2020). İnsansız hava aracından elde edilen veriler ile kaya düşme potansiyelinin değerlendirilmesi: Adam Kayalar örneği, Mersin. Geomatik, 5(2), 134-145. https://doi.org/10.29128/geomatik.595574
- Alexander, C., Korstjens, A. H., & Hill, R. A. (2018). Influence of micro-topography and crown characteristics on tree height estimations in tropical forests based on LiDAR canopy height models. International Journal of Applied Earth Observation and Geoinformation, 65, 105-113. https://doi.org/10.1016/j.jag.2017.10.009
- Anderson, C. T., Dietz, S. L., Pokswinski, S. M., Jenkins, A. M., Kaeser, M. J., Hiers, J. K., & Pelc, B. D. (2021). Traditional field metrics and terrestrial LiDAR predict plant richness in southern pine forests. Forest Ecology and Management, 491, 119118. https://doi.org/10.1016/j.foreco.2021.119118
- Barazzetti, L., Scaioni, M., & Remondino, F. (2010). Orientation and 3D modelling from markerless terrestrial images: combining accuracy with automation. The Photogrammetric Record, 25(132), 356-381. https://doi.org/10.1111/j.1477-9730.2010.00599.x
- Bendea, H., Boccardo, P., Dequal, S., Giulio Tonolo, F., Marenchino, D., & Piras, M. (2008). Low cost UAV for post-disaster assessment. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37(B8), 1373-1379.
- Berni, J. A. J., Zarco-Tejada, P. J., Suarez, L., González-Dugo, V., & Fereres, E. (2009b). Remote sensing of vegetation from UAV platforms using lightweight multispectral and thermal imaging sensors. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 38(6), 6.
- Berni, J. A., Zarco-Tejada, P. J., Suárez, L., & Fereres, E. (2009a). Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle. IEEE Transactions on Geoscience and Remote Sensing, 47(3), 722-738. https://doi.org/10.1109/TGRS.2008.2010457
- Chiabrando, F., Nex, F., Piatti, D., & Rinaudo, F. (2011). UAV and RPV systems for photogrammetric surveys in archaelogical areas: two tests in the Piedmont region (Italy). Journal of Archaeological Science, 38(3), 697-710. https://doi.org/10.1016/j.jas.2010.10.022
- Chou, T. Y., Yeh, M. L., Chen, Y. C., & Chen, Y. H. (2010). Disaster monitoring and management by the unmanned aerial vehicle technology. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 38(7B), 137–142.
- Da Cunha Neto, E. M., Rex, F. E., Veras, H. F. P., Moura, M. M., Sanquetta, C. R., Käfer, P. S., ... & Dalla Corte, A. P. (2021). Using high-density UAV-Lidar for deriving tree height of Araucaria Angustifolia in an Urban Atlantic Rain Forest. Urban Forestry & Urban Greening, 63, 127197. https://doi.org/10.1016/j.ufug.2021.127197
- Dirik, H., Erdoğan, R., Altınçekiç, H. S., & Altınçekiç, H. (2014). Kent Ağaçlarının İşlevleri, Koruma Önemi ve Değer Belirleme Yaklaşımları. Artvin Çoruh Üniversitesi Orman Fakültesi Dergisi, 15(2), 161-174. http://dx.doi.org/10.17474/acuofd.74718
- Durgun, H., Çoban, H. O., & Eker, M. (2022). İnsansız hava aracıyla elde edilen hava fotoğraflarından kızılçam ağaçlarının çap ve boylarının ölçümü ve gövde hacminin tahmini. Turkish Journal of Forestry, 23(4), 255-267. https://doi.org/10.18182/tjf.1199567
- Fiorillo, F., Jiménez Fernández-Palacios, B., Remondino, F., & Barba, S. (2015). 3D Surveying and modelling of the Archaeological Area of Paestum, Italy. Virtual Archaeology Review, 4(8), 55-60. https://doi.org/10.4995/var.2013.4306
- Grenzdörffer, G. J., Engel, A., & Teichert, B. (2008). The photogrammetric potential of low-cost UAVs in forestry and agriculture. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 31(B3), 1207-1213.
- Gruen, A., Huang, X., Qin, R., Du, T., Fang, W., Boavida, J., & Oliveira, A. (2013). Joint processing of UAV imagery and terrestrial mobile mapping system data for very high resolution city modeling. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 40, 175-182. https://doi.org/10.5194/isprsarchives-XL-1-W2-175-2013
- Hao, J., Li, X., Wu, H., Yang, K., Zeng, Y., Wang, Y., & Pan, Y. (2023). Extraction and analysis of tree canopy height information in high-voltage transmission-line corridors by using integrated optical remote sensing and LiDAR. Geodesy and Geodynamics, 14(3), 292-303. https://doi.org/10.1016/j.geog.2022.11.008
- Kaya, Y., & Polat, N. (2023). A linear approach for wheat yield prediction by using different spectral vegetation indices. International Journal of Engineering and Geosciences, 8(1), 52-62. https://doi.org/10.26833/ijeg.1035037
- Kohoutek, T. K., & Eisenbeiss, H. (2012). Processing of UAV based range imaging data to generate detailed elevation models of complex natural structures. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 39, 405-410. https://doi.org/10.5194/isprsarchives-XXXIX-B1-405-2012
- Konolige, K., & Agrawal, M. (2008). FrameSLAM: From bundle adjustment to real-time visual mapping. IEEE Transactions on Robotics, 24(5), 1066-1077. https://doi.org/10.1109/TRO.2008.2004832
- Ma, Y., Xu, N., Liu, Z., Yang, B., Yang, F., Wang, X. H., & Li, S. (2020). Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery datasets. Remote Sensing of Environment, 250, 112047. https://doi.org/10.1016/j.rse.2020.112047
- Manyoky, M., Theiler, P., Steudler, D., & Eisenbeiss, H. (2012). Unmanned aerial vehicle in cadastral applications. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 38, 57-62. https://doi.org/10.5194/isprsarchives-XXXVIII-1-C22-57-2011
- Markus, T., Neumann, T., Martino, A., Abdalati, W., Brunt, K., Csatho, B., ... & Zwally, J. (2017). The Ice, Cloud, and land Elevation Satellite-2 (ICESat-2): science requirements, concept, and implementation. Remote Sensing of Environment, 190, 260-273. https://doi.org/10.1016/j.rse.2016.12.029
- Mielcarek, M., Stereńczak, K., & Khosravipour, A. (2018). Testing and evaluating different LiDAR-derived canopy height model generation methods for tree height estimation. International Journal of Applied Earth Observation and Geoinformation, 71, 132-143. https://doi.org/10.1016/j.jag.2018.05.002
- Molina, P., Colomina, I., Vitoria, T., Silva, P. F., Skaloud, J., Kornus, W., ... & Aguilera, C. (2012). Searching lost people with UAVs: the system and results of the close-search project. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 39, 441-446. https://doi.org/10.5194/isprsarchives-XXXIX-B1-441-2012
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