Local Geoid height calculations with GNSS, airborne, and spaceborne Lidar data

Ağca, Müge; Daloglu, Ali Ihsan

doi:10.1016/j.ejrs.2022.12.009

Cited by 3 publications

(2 citation statements)

References 19 publications

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“…In the context of field mapping, the ICESat-2 photon returns from different lithological groups, which significantly facilitate the preparation of digital procedures, includ-ing laboratory pre-fieldwork, survey fieldwork, and the interpretation of post-fieldwork. For example, the acquired Ground Control Points (GCPs) using GNSS can be plotted to evaluate the accuracy of ICESat-2 data and vice versa (Figures 9 and 10) [26]. Therefore, for inaccessible regions, ICESat-2 data can be used directly to reduce overall fieldmapping tasks (Figure 7k,l) [15].…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, with the proven success of ICESat-1 [14,24,25], ICESat-2 aims to collect laser measurements of Earth's terrestrial surfaces, e.g., vegetation, ice, land, and water, providing highly accurate geodetic measurements for a wide range of terrestrial applications [20]. ICESat-2 is equipped with a state-of-the-art laser-ranging instrument based on Photon-Counting LiDAR (PCL) technology measuring Earth's surface geodetic elevations at a much higher spatial-temporal resolution compared to its predecessor, full-wave Geoscience Laser Altimeter Systems (GLAS) LiDAR sensor [26]. Unlike discrete return, topographic airborne LiDAR system (ALS) [17], or full-waveform LiDAR sensors (e.g., GLAS), the Advanced Topographic Laser Altimeter System (ATLAS) onboard ICESat-2 is a photon-based sensor (e.g., PCL).…”

Section: Ice Cloud and Land Elevation Satellites (Icesat)mentioning

confidence: 99%

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NASA ICESat-2: Space-Borne LiDAR for Geological Education and Field Mapping of Aeolian Sand Dune Environments

2023

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Satellites are launched frequently to monitor the Earth’s dynamic surface processes. For example, the Landsat legacy has thrived for the past 50 years, spanning almost the entire application spectrum of Earth Sciences. On the other hand, fewer satellites are launched with a single specific mission to address pressing scientific questions, e.g., the study of polar icecaps and their response to climate change using Ice Cloud and the Land Elevation Satellite (ICESat) program with ICESat-1 (decommissioned in 2009) and ICESat-2. ICESat-2 has been operational since 2018 and has provided unprecedented success in space-borne LiDAR technology. ICESat-2 provides exceptional details of topographies covering inland ice, snow, glaciers, land, inland waterbodies, and vegetation in three-dimensional (3D) space and time, offering the unique opportunity to quantify the Earth’s surface processes. Nevertheless, ICESat-2 is not well known to some other disciplines, e.g., Geology and Geomorphology. This study, for the first time, introduces the use of ICESat-2 in aeolian sand dune studies, purely from an ICESat-2 remote sensing data perspective. Two objectives are investigated. first, a simplified approach to understanding ICESat-2 data products along with their application domains. Additionally, data processing methods and software applications are briefly explained to unify the information in a single article. Secondly, the exemplified use of ICESat-2 data in aeolian sand dune environments is analyzed compared to global Digital Elevation Models (DEMs), e.g., Shuttle Radar Topography Mission (SRTM). Our investigation shows that ICESat-2 provides high-resolution topographic details in desert environments with significant improvements to the existing methods, thereby facilitating geological education and field mapping. Aeolian sand dune environments can be better understood, at present, using ICESat-2 data compared to traditional DEM-based methods.

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Section: Discussionmentioning

confidence: 99%

Section: Ice Cloud and Land Elevation Satellites (Icesat)mentioning

confidence: 99%

NASA ICESat-2: Space-Borne LiDAR for Geological Education and Field Mapping of Aeolian Sand Dune Environments

2023

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Machine learning algorithms for building height estimations using ICESat-2/ATLAS and Airborne LiDAR data

Agca,

Yucel,

Kaya

et al. 2024

Earth Sci Inform

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Kentsel alanlarda ağaç yükseklik bilgilerinin ICESat-2/ATLAS ve İHA verilerinden elde edilmesi

AĞCA,

KAYA,

DALOĞLU

et al. 2024

Geomatik

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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. Çalışmada ileri teknolojilerden elde edilen veriler arazide yerinde toplanan veriler ile kıyaslanmıştır. 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, R programı kullanılarak 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 ve farklı disiplinlerde gerçekleştirilen bilimsel çalışmalar için büyük önem arz etmektedir.

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Local Geoid height calculations with GNSS, airborne, and spaceborne Lidar data

Cited by 3 publications

References 19 publications

NASA ICESat-2: Space-Borne LiDAR for Geological Education and Field Mapping of Aeolian Sand Dune Environments

NASA ICESat-2: Space-Borne LiDAR for Geological Education and Field Mapping of Aeolian Sand Dune Environments

Machine learning algorithms for building height estimations using ICESat-2/ATLAS and Airborne LiDAR data

Kentsel alanlarda ağaç yükseklik bilgilerinin ICESat-2/ATLAS ve İHA verilerinden elde edilmesi

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