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Dissertation_Shengxi Gui_final.pdf (8.88 MB)

ETD Abstract Container

Abstract Header

Advancing Applications of Satellite Photogrammetry: Novel Approaches for Built-up Area Modeling and Natural Environment Monitoring using Stereo/Multi-view Satellite Image-derived 3D Data

Gui, Shengxi
http://orcid.org/0000-0001-8932-0577
http://rave.ohiolink.edu/etdc/view?acc_num=osu1713454342607361

Abstract Details

2024, Doctor of Philosophy, Ohio State University, Civil Engineering.
With the development of remote sensing technology in recent decades, spaceborne sensors with sub-meter and meter spatial resolution (Worldview & PlanetScope) have achieved a considerable image quality to generate 3D geospatial data via a stereo matching pipeline. These achievements have significantly increased the data accessibility in 3D, necessitating adapting these 3D geospatial data to analyze human and natural environments. This dissertation explores several novel approaches based on stereo and multi-view satellite image-derived 3D geospatial data, to deal with remote sensing application issues for built-up area modeling and natural environment monitoring, including building model 3D reconstruction, glacier dynamics tracking, and lake algae monitoring. Specifically, the dissertation introduces four parts of novel approaches that deal with the spatial and temporal challenges with satellite-derived 3D data. The first study advances LoD-2 building modeling from satellite-derived Orthophoto and DSMs with a novel approach employing a model-driven workflow that generates building rectangular 3D geometry models. By integrating deep learning for building detection, advanced polygon extraction, grid-based decomposition, and roof parameter computation, we accurately computed complex building structures in 3D, culminating in the development of SAT2LoD2—a popular open-source tool in satellite-based 3D urban reconstruction. Secondly, we further enhanced our building reconstruction framework for dense urban areas and non-rectangular purposes, we implemented deep learning for unit-level segmentation and introduced a gradient-based circle reconstruction for circular buildings to develop a polygon composition technique for advanced building LoD2 reconstruction. This approach refines building 3D modeling in complex urban structures, particularly for challenging architectural forms. Our third study utilizes high-spatiotemporal resolution PlanetScope satellite imagery for glacier tracking at 3D level in mid-latitude regions. We developed a novel approach of using a photogrammetric workflow to generate glacier 3D terrain model and track the ice motion for various periods. By generating dense time-series 3D elevation models, we distinguished between seasonal variations and permanent glacier retreat, offering insights into glacier dynamics in response to climate change. Finally, we proposed a term as “Algal Behavior Function” to refine the quantification of chlorophyll-a concentrations from satellite imagery in water quality monitoring, addressing algae fluctuations and timing discrepancies between satellite observations and field measurements, thus enhancing the precision of underwater algae volume estimates. Overall, this dissertation demonstrates the extensive potential of satellite photogrammetry applications in addressing urban and environmental challenges. It further showcases innovative analytical methodologies that enhance the applicability of adapting stereo and multi-view very high-resolution satellite-derived 3D data.
Rongjun Qin (Advisor)
Charles Toth (Committee Member)
Alper Yilmaz (Committee Member)
186 p.
Civil Engineering; Environmental Science; Geographic Information Science; Geography; Remote Sensing
remote sensing, photogrammetry, 3D geospatial data, satellite imagery, time-series analysis, building LoD2 reconstruction, glacier tracking, algal bloom monitoring

Recommended Citations

Citations

  • Gui, S. (2024). Advancing Applications of Satellite Photogrammetry: Novel Approaches for Built-up Area Modeling and Natural Environment Monitoring using Stereo/Multi-view Satellite Image-derived 3D Data [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1713454342607361

    APA Style (7th edition)

  • Gui, Shengxi. Advancing Applications of Satellite Photogrammetry: Novel Approaches for Built-up Area Modeling and Natural Environment Monitoring using Stereo/Multi-view Satellite Image-derived 3D Data. 2024. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1713454342607361.

    MLA Style (8th edition)

  • Gui, Shengxi. "Advancing Applications of Satellite Photogrammetry: Novel Approaches for Built-up Area Modeling and Natural Environment Monitoring using Stereo/Multi-view Satellite Image-derived 3D Data." Doctoral dissertation, Ohio State University, 2024. http://rave.ohiolink.edu/etdc/view?acc_num=osu1713454342607361

    Chicago Manual of Style (17th edition)

osu1713454342607361
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© 2024, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.