additional resources

On this page, you will find links to additional resources/materials relevant to the material covered in EGM702 - Photogrammetry and Advanced Image Analysis

reading list

A suggested reading list is available as a Zotero Group Library. Note that while the group is public, you will need to be added to the group as a member in order to view the associated PDFs.

In preparing the materials for this module, I have used the following textbooks - they are not required reading, but if you have access through a library or the means to pick up a (used) copy, they can help fill in some of the details.

• Cardille, J. A., N. Clinton, M. A. Crowley, and D. Saah, eds. (2022). Cloud-Based Remote Sensing with Google Earth Engine. [eefabook.org]

• Campbell, J. B. and R. H. Wynne (2011). Introduction to Remote Sensing (5^th ed.). Guilford Press. ISBN 978160918176-5 [Google Books]

• Carrivick, J. L., M. W. Smith, and D. J. Quincey (2016). Structure from Motion in the Geosciences. Wiley. ISBN 9781118895849 [Google Books]

• Jensen, J. R. (2016). Introductory Digital Image Processing (4^th ed.). Pearson. ISBN 9780134058160 [Google Books]

• Lillesand, T. M., R. W. Kiefer, and J. W. Chipman (2015). Remote Sensing and Image Interpretation (7^th ed.). Wiley. ISBN 9781118343289 [Google Books]

week 1: photogrammetry

Part 1 - What is Photogrammetry?

• What is photogrammetry? [ClimaByte]

• r/photogrammetry [reddit]

• More examples of 3D models: [sketchfab.com]

Part 2 - Scale and Parallax

• Review: Digital Images [EGM310]

• Stellar parallax and measuring distance [Las Cumbres Observatory]

• What is the transit of Venus? [Physics World]

• Parallax in observing stars [Khan Academy]

Part 3 - Stereophotogrammetry

• Rupnik et al., 2017 [Open Geospat. Data Software Standards]

• Toutin, 2002 [IEEE Trans. Geosci. Rem. Sens.]

• Stereo 3D vision [computerphile]

Part 4 - Control Point Selection

Part 5 - Acquisition Planning

• Hasegawa et al., 2000 [Int. Arch. Photogramm. Rem. Sens.]

• 15 drone apps to help you [Heliguy.com]

• Flight Planner Tutorial [DJI Flight Planner Tutorial]

week 2: dem and terrain analysis

Part 1: DEM Accuracy

• Polidori and El Hage, 2020 [Rem. Sens.]

• Höhle and Höhle, 2009 [ISPRS J. Photogrmam. Rem. Sens.]

• Gesch et al., 2016 [Int. Arch. Photogramm. Rem. Sens. Spatial Inf. Sci.]

• Hengl and Reuter, 2011 [Geomorphometry]

Part 2: Topographic Analysis

• Zevenbergen and Thorne, 1987 [Earth Surf. Proc. Landforms]

• An overview of the Surface toolset [ESRI]

Part 3: Spatial Statistics

• Rolstad et al. 2009 [J. Glaciol.]

• Spatial Statistics toolbox [ESRI]

• Handbook of Spatial Analysis [European Forum for Geography and Statistics]

Part 4: LiDAR

• Liu et al., 2017 [Rem. Sens. Env.]

• Obu et al., 2017 [Geomorphology]

• Inomata et al., 2020 [Nature]

• ICESat-2 Mission Page [NASA]

• Introduction to LiDAR [NEON]

• ICESat-2 Introduction [NASA]

Part 5: Getting DEMs

Part 6: DEM Applications

• Nuth and Kääb, 2011 [The Cryosphere]

• Jarihani et al., 2015 [J. Hydrol.]

• Girod et al., 2017 [Rem. Sens.]

• Coe et al., 2017 [Landslides]

• Shevchenko et al., 2020 [Comms. Earth & Env.]

• Using DEMs to Map Changes in Topography [USGS]

• An overview of the hydrology toolset [ESRI]

week 3: image manipulation and analysis

Part 1: Digital Imagery

• How does a photon become a film photo? [SciShow]

• How do digital cameras work? [BBC Earth Lab]

• Digital Images [computerphile]

Part 2: Image Enhancement

• Natural Resources Canada [Remote Sensing Tutorials]

• How Blurs & Filters Work [computerphile]

• Finding the Edges (Sobel Operator) [computerphile]

• Contrast Stretching in ArcGIS [Karen Joyce]

Part 3: Band Math(s)

• Chavez et al., 1982 [J. Appl. Photographic Eng.]

• Sheffield, 1985 [Photogramm. Eng. Rem. Sens.]

• Beauchemin and Fung, 2001 [Photogramm. Eng. Rem. Sens.]

Part 4: Spectral Indices

• McFeeters, 1996 [Int. J. Rem. Sens.]

• Gao, 1996 [Rem. Sens. Env.]

• Epting et al., 2005 [Rem. Sens. Env.]

• Zha et al., 2003 [Int. J. Rem. Sens.]

Part 5: Image Transformation

• Crósta et al., 2003 [Int. J. Rem. Sens.]

• HSL Color Space [Khan Academy]

week 4: change detection

Part 1: Change Detection

• Lu et al., 2004 [Int. J. Rem. Sens.]

• Earth Observatory [NASA]

• Change Detection using Landsat 8 [GeoDelta Labs]

• Change Detection Using Landsat Imagery [VGE]

Part 2: Visual Analysis

• Sader and Winne, 1992 [Int. J. Rem. Sens.]

• Wilson and Sader, 2002 [Rem. Sens. Env.]

• Im et al., 2007 [Rem. Sens. Env.]

Part 3: Change Vector Analysis

• Lambin and Strahlers, 1994 [Rem. Sens. Env.]

• Johnson and Kasischke, 1998 [Int. J. Rem. Sens.]

• Chen et al., 2003 [Photogramm. Eng. Rem. Sens.]

Part 4: Multitemporal Classification

• Sanhouse-Garcia et al., 2017 [Rem. Sens. Appl. Soc. Env.]

• Häme et al., 1998 [Int. J. Rem. Sens.]

• Celik, 2009 [IEEE Geosci. Rem. Sens. Lett.]

• Collins and Woodcock, 1996 [Rem. Sens. Env.]

Part 5: Time Series Analysis

• Introduction to Time Series Analysis [NIST]

• Eastman et al., 2009 [Int. J. Rem. Sens.]

• Verbesselt et al., 2010 [Rem. Sens. Env.]

• Kennedy et al., 2020 [Rem. Sens.]

week 5: classification

Part 1: Image Classification

• K-means & Image Segmentation [computerphile]

• What is image classification? [ESRI]

• Lu and Weng, 2007 [Int. J. Rem. Sens.]

Part 2: Image Segmentation and OBIA

• Blaschke, Lang & Hay, 2008 [Google Books]

• Otsu, 1979 [IEEE Trans. Systems Man Cybernet.]

• Haralick and Shapiro, 1985 [Comp. Vis. Graph. Image Proc.]

• Blaschke, 2010 [ISPRS J. Photogrmam. Rem. Sens.]

• Blaschke et al., 2014 [ISPRS J. Photogrmam. Rem. Sens.]

• Ma et al., 2017 [ISPRS J. Photogrmam. Rem. Sens.]

• Heumann, 2011 [Rem. Sens.]

• McNabb et al., 2016 [PLoS One]

Part 3: Machine Learning

• What is Machine Learning? [IBM]

• Interpretable Machine Learning [C. Molnar]

• Machine Learning Methods [computerphile]

• Deep Learning [computerphile]

• Machine Learning Crash Course [Google]

Part 4: Machine Learning Classification

• Pal, 2005 [Int. J. Rem. Sens.]

• Pal and Mather, 2005 [Int. J. Rem. Sens.]

• Maxwell et al., 2018 [Int. J. Rem. Sens.]

• Lary et al., 2016 [Geosci Frontiers]

Part 5: Accuracy Analysis

• Accuracy Assessment for Image Classification [ESRI]

• Accuracy Assessment [ERDAS Imagine]

• Evaluating the Classification [Geo Data Design]