For each reading, provide a summary and feedback (~300 words). In separate, explicitly labelled sections provide a summary and a scholarly response, each about 150 words. Summaries should synthesize and summarize the material (bullet points ok). Scholarly responses should include analysis and feedback of the piece. Focus your writing on being clear and concise, but making sure that you capture specific / concrete aspects of the reading (i.e., avoid being vague in the summary; convince me that you've read the reading closely).

Textbooks (not required):

• Frazier and Singh. 2021. Fundamentals of Capturing and Processing Drone Imagery and Data.
• Keranen and Kolvoord. 2016. Making Spatial Decisions - Using GIS and Lidar: A Workbook
• Liu and Mason. 2016. Image Processing and GIS for Remote Sensing.
• Sharma. 2020. Applications of Small Unmanned Aircraft Systems.

Data Sources

• DEMs
  • ALOS
  • Arctic-DEM
  • ASTER
  • CGIAR-SRTM
  • CoastalDEM
  • ETOPO1
  • EU-DEM
  • IFSAR-DEM
  • GMTED2010 - Global DEM
  • GMRT - Global Multi-Resolution Topography Data Synthesis
  • MERIT DEM
  • NASA EarthData for access to many of these.
  • NASADEM
  • SRTM15+
  • TanDEM-X
  • Tilegrabber 30m and 90m
  • USGS EarthExplorer

Software

• Primary

  • ESRI ArcGIS Pro
  • SAGA

• Secondary

  • QGIS

First Meeting

• No Readings - Introduction to the Course and to the Class

Readings 1 - RTK / PPK GNSS (Sept 22)

• Required
  • Pix4D. 2022. RTK vs PPK drones vs GCPs: which provides better results?
  • Tamastik et al. 2019. UAV RTK-PPK Method - An optimal solution for mapping inaccessible forested areas?
• Related
  • Bertin et al. 2022. Assessment of RTK Quadcopter and Structure-from-Motion Photogrammetry for Fine-Scale Monitoring of Coastal Topographic Complexity.
  • Bolkas. 2019. Assessment of GCP number and separation distance for sUAS surveys with and without GNSS-PPK positioning. [ascelibrary.org]
  • Eriksson. 2016. RTK Positioning of UAS.
  • Pingel et al. 2021. Deriving Land and Water Surface Elevations in the Northeastern Yucatán Peninsula using PPK GPS and UAV-based Structure from Motion. [archive]
  • Taddia et al. 2020. Coastal mapping using DJI Phantom 4 RTK in PPK mode.
  • Yong et al. 2021. Instantaneous, Dual-Frequency, Multi-GNSS Precise RTK Positioning Using Google Pixel 4 and Samsung Galaxy S20 Smartphones for Zero and Short Baselines.
  • Zhang et al. 2019. Evaluating the potential of post-processing kinematic (PPK) geoferencing for UAV-based SfM.

Readings 2 - Terrestrial and Pole Photogrammetry

• Required (2 of these 3)
  • Luetzenburg et al. 2021. Evaluation of the Apple iPhone 12 Pro LiDAR for an Application in Geosciences.
  • Wang and Watanabe. 2019. Impact of Recreational Activities on an Unmanaged Alpine Campsite: The Case of Kuro-Dake Campsite, Daisetsuzan National Park, Japan.
  • Arredondo. 2023. A comparative study of terrestrial photogrammetry and traditional transect methods for monitoring trail conditions in Joshua Tree National Park.
• Recommended
  • Balaguer-Puig et al. 2017. Estimation of small-scale soil erosion in laboratory experiments with Structure from Motion photogrammetry.
  • Campbell et al. 2018. Using Near-Surface Photogrammetry Assessment of Surface Roughness (NSPAS) to assess the effectiveness of erosion control treatments applied to slope forming materials from a mine site in West Africa.
  • Chandler and Buckley. 2016. Structure from motion (SFM) photogrammetry vs terrestrial laser scanning.
  • Del Pozo et al. 2020. Novel Pole Photogrammetric System for Low-Cost Documentation of Archaeological Sites: The Case Study of “Cueva Pintada”.
  • Goncalves et al. 2016. Pole Photogrammetry With an Action Camera for Fast and Accurate Surface Mapping.
  • Kopysc. 2020. The use of aerial lidar and structure from motion (SfM) photogrammetry data in analyzing the microtopographic changes on hiking trails on the example of Kielce (Poland).
  • Marteau et al. 2016. Application of Structure‐from‐Motion photogrammetry to river restoration. #GoPro
  • Wessling et al. 2013. Structure from Motion for Systematic Single Surface Documentation of Archaeological Excavations
  • Wi et al. 2017. Combining Structure from Motion and close-range stereo photogrammetry to obtain scaled gravel bar DEMs. #GoPro
  • Zehner et al. 2020. Differences between terrestrial and airborne SFM and MVS photogrammetry applied for change detection within a sinkhole in Thuringia, Germany.

Readings 3 - Structure from Motion

• Background
  • The Structure from Motion Pipeline
  • Stretcha et al. 2014. [The Chillon Project - Aerial / Terrestrial and indoor integration](The Chillon Project - Aerial / Terrestrial and indoor integration).
• Required
  • Eltner et al. 2016. Image-based surface reconstruction in geomorphometry – merits, limits and developments. [archive]
  • Zhang et al. 2024. A Review on Unmanned Aerial Vehicle Remote Sensing: Platforms, Sensors, Data Processing Methods, and Applications.
• Related
  • Chirico et al. 2020. Evaluating Elevation Change Thresholds between Structure-from-Motion DEMs Derived from Historical Aerial Photos and 3DEP LiDAR Data.
  • Fernandez. 2018. Monitoring snow depth change across a range of landscapes with ephemeral snowpacks using SfM.
  • Flener et al. 2013. Seamless mapping of river channels at high resolution using mobile lidar and UAV-photography.
  • Fonstad et al. 2013. Topographic structure from motion - a new development in photogrammetric measurement.
  • Isibue and Pingel. 2020. Unmanned aerial vehicle based measurement of urban forests.
  • James et al. 2020. Mitigating systematic error in topographic models for geomorphic change detection: accuracy, precision and considerations beyond off‐nadir imagery.
  • Lovitt, Rahmann, and McDermid. 2017. Assessing the value of UAV photogrammetry for characterizing terrain in complex peatlands.
  • Lucieer, de Jong, and Turner. 2013. Mapping landslide displacements using SfM.
  • Mancini et al. 2013. Using UAV for high-resolution reconstruction of topography.
  • Meyer and Skiles. 2019. Assessing the ability of structure from motion to map high resolution snow surface elevations in complex terrain.
  • Obanawa and Sakanoue. 2021. Conditions of Aerial Photography to Reduce Doming Effect.
  • Pingel et al. 2021. Deriving Land and Water Surface Elevations in the Northeastern Yucatán Peninsula Using PPK GPS and UAV-Based Structure from Motion.
  • Telli et al. 2023. A Comprehensive Review of Recent Research Trends on Unmanned Aerial Vehicles (UAVs)
  • Vautherin et al. 2016. Photogrammetric accuracy and modeling of rolling shutter cameras.
  • Wang and Watanabe. 2019. Impact of Recreational Activities on an Unmanaged Alpine Campsite: The Case of Kuro-Dake Campsite, Daisetsuzan National Park, Japan.
  • Westoby et al. 2012. Structure-from-Motion photogrammetry: A low-cost, effective tool for geoscience applications. [archive]
  • Zhao et al. 2024. TCLC-GS - Tighly coupled lidar-camera gaussian splanning for surrounding autonomous driving scenes.
  • Zhang et al. 2024. A Review on Unmanned Aerial Vehicle Remote Sensing: Platforms, Sensors, Data Processing Methods, and Applications.