Textbook and Readings
Required Textbook
The course spans some traditional & very new sub-branches of remote sensing, thus, there is no one textbook that would best fit the class content. However to reduce screen fatigue, we will be reading from a textbook this quarter. The textbook is available from the UW bookstore. If you want to save some $, you may read the 3rd edition (be aware its out of date but the main foundational pieces are there).
Optional Textbooks — copy of books on hold @ Odegard Library (2 hour loan)
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- Thomas Lillesand, Ralph W. Kiefer and Jonathan Chipman, 2015. Remote Sensing and Image Interpretation, 7th ed. Wiley,p768.
- James Campbell and Randolph Wynne, 2011. Introduction to Remote Sensing, 5th ed. The Guilford Press, p.667.
- Thomas Blaschke, Stefan Lang and Geoffrey Hay, 2008. Object-Based Image Analysis: Spatial Concepts for Knowledge-Driven Remote Sensing Applications (Lecture Notes in Geoinformation and Cartography). 1st ed. Springer, p. 836
Optional Weekly Articles
Week 1
Lecture
Chambers, Jeffrey Q., et al. “Regional ecosystem structure and function: ecological insights from remote sensing of tropical forests.” Trends in Ecology & Evolution 22.8 (2007): 414-423.
Tatem, Andrew J., Scott J. Goetz, and Simon I. Hay. “Fifty years of earth observation satellites.” American Scientist 96.5 (2008): 390-398.
Adams, Beverley J., et al. “Application of high-resolution optical satellite imagery for post-earthquake damage assessment: The 2003 boumerdes (algeria) and bam (iran) earthquakes.” MCEER Research and Accomplishments 2003–2004 (2004): 173-186.
Melesse, Assefa M., et al. “Remote sensing sensors and applications in environmental resources mapping and modelling.” Sensors 7.12 (2007): 3209-3241.
Lab
Richardson, Jeffrey J., and L. Monika Moskal. “Uncertainty in urban forest canopy assessment: Lessons from Seattle, WA, USA.” Urban forestry & urban greening 13.1 (2014): 152-157.
Week 2
Lecture
De Leeuw, Jan, et al. “An assessment of the accuracy of volunteered road map production in Western Kenya.” Remote Sensing 3.2 (2011): 247-256.
Gordon, Howard R. “Normalized water-leaving radiance: revisiting the influence of surface roughness.” Applied Optics44.2 (2005): 241-248.
Week 3
Lecture
Franklin, S. E., et al. “Quantification of landscape change from satellite remote sensing.” The Forestry Chronicle 76.6 (2000): 877-886.
Handcock, Rebecca N., et al. “Thermal infrared remote sensing of water temperature in riverine landscapes.” Fluvial remote sensing for science and management (2012): 85-113.
Torgersen, Christian E., et al. “Airborne thermal remote sensing for water temperature assessment in rivers and streams.” Remote Sensing of Environment 76.3 (2001): 386-398.
Week 4
Lecture
Moskal, L. M., and S. E. Franklin. “Relationship between airborne multispectral image texture and aspen defoliation.” International journal of remote sensing 25.14 (2004): 2701-2711.
Lab
Burnett, Carolyn, and Thomas Blaschke. “A multi-scale segmentation/object relationship modelling methodology for landscape analysis.” Ecological modelling 168.3 (2003): 233-249.
Moskal, L. Monika, Diane M. Styers, and Meghan Halabisky. “Monitoring urban tree cover using object-based image analysis and public domain remotely sensed data.” Remote Sensing 3.10 (2011): 2243-2262.
Week 5
Lecture
-Midterm
Lab
Notes on Image Segmentation by Jepson and Fleet (2007)
Week 6
Lecture
Halabisky, Meghan, L. Monika Moskal, and Sonia A. Hall. “Object-based classification of semi-arid wetlands.” Journal of Applied Remote Sensing 5.1 (2011): 053511-053511.
Richardson, Jeffrey J., and L. Monika Moskal. “Uncertainty in urban forest canopy assessment: Lessons from Seattle, WA, USA.” Urban forestry & urban greening 13.1 (2014): 152-157.
Sullivan, Alicia A., et al. “Object-oriented classification of forest structure from light detection and ranging data for stand mapping.” Western journal of applied forestry 24.4 (2009): 198-204.
Lab
A Change Detection Tutorial by Grey and Gessler 2000
Week 7
Lecture
Moskal, L. Monika, and Guang Zheng. “Retrieving forest inventory variables with terrestrial laser scanning (TLS) in urban heterogeneous forest.” Remote Sensing 4.1 (2011): 1-20.
Myint, Soe W., et al. “Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery.” Remote sensing of environment 115.5 (2011): 1145-1161.
Week 8
Lecture
Vaughn, Nicholas R., L. Monika Moskal, and Eric C. Turnblom. “Fourier transformation of waveform Lidar for species recognition.” Remote Sensing Letters 2.4 (2011): 347-356.
Erdody, Todd L., and L. Monika Moskal. “Fusion of LiDAR and imagery for estimating forest canopy fuels.” Remote Sensing of Environment 114.4 (2010): 725-737.
Zheng, Guang, and L. Monika Moskal. “Retrieving leaf area index (LAI) using remote sensing: theories, methods and sensors.” Sensors 9.4 (2009): 2719-2745.
Richardson, Andrew D., et al. “Near‐surface remote sensing of spatial and temporal variation in canopy phenology.” Ecological Applications 19.6 (2009): 1417-1428.
Moskal, L. Monika, et al. “Lidar applications in precision forestry.” Proceedings of Silvilaser (2009): 154-163.
Kato, Akira, et al. “Capturing tree crown formation through implicit surface reconstruction using airborne lidar data.” Remote Sensing of Environment 113.6 (2009): 1148-1162.
Lab
McGaughey, Robert J. “FUSION/LDV: Software for LIDAR data analysis and visualization.” US Department of Agriculture, Forest Service, Pacific Northwest Research Station: Seattle, WA, USA 123.2 (2016).
Week 9
Lecture
Zheng, Guang, and L. Monika Moskal. “Computational-geometry-based retrieval of effective leaf area index using terrestrial laser scanning.” IEEE Transactions on Geoscience and Remote Sensing 50.10 (2012): 3958-3969.
Lab
Zheng, Guang, and L. Monika Moskal. “Retrieving leaf area index (LAI) using remote sensing: theories, methods and sensors.” Sensors 9.4 (2009): 2719-2745.
Week 10
Moskal, L . “Temporal Signatures and Harmonic Analysis of Natural and Anthropogenic Disturbances of Forested Landscapes: A Case Study in the Yellowstone Region.” Proceedings of the Third International Workshop on the Analysis of Multi-Temporal Remote Sensing Images 2005, vol. 2005, 2005, pp. 15–19.