Find journal articles and media published discussing COOLR and our landslide team's work.

Journal Publications

1. Amatya, P., Kirschbaum, D., Stanley, T., and Tanyas, H. (2021). Landslide mapping using object-based image analysis and open source tools. Engineering Geology. 282. doi: 10.1016/j.enggeo.2021.106000. 
2. Amatya, P., Kirschbaum, D., and Stanley, T. (2021). Rainfall-induced landslide inventories for Lower Mekong based on Planet imagery and a semi-automatic mapping method. Geoscience Data Journal. doi: 10.1002/gdj3.145.
3. Amatya, P., Kirschbaum, D., and Stanley, T. (2019). Use of Very High-Resolution Optical Data for Landslide Mapping and Susceptibility Analysis along the Karnali Highway, Nepal. Remote Sensing. 11(19). doi: 10.3390/rs11192284.
4. Biswas, N., Stanley, T., Kirschbaum, D., Amatya, P., Meechaiya, C., Poortinga, A., and Towashiraporn, P. (2022). A dynamic landslide hazard monitoring framework for the Lower Mekong Region. Frontiers in Earth Science. 2296-6463. doi: 10.3389/feart.2022.1057796.
5. Dandridge, C., T. A. Stanley, D. B. Kirschbaum, and V. Lakshmi. 2023. "Spatial and Temporal Analysis of Global Landslide Reporting Using a Decade of the Global Landslide Catalog." Sustainability, 15 (4): 3323. doi: 10.3390/su15043323.
6. Emberson, R., Kirschbaum, D., Amatya, P., Tanyas, H., and Marc, O. (2022). Insights from the topographic characteristics of a large global catalog of rainfall-induced landslide event inventories. Natural Hazards and Earth System Sciences. 22, 1129-1149. doi: 10.5194/nhess-22-1129-2022.
7. Emberson, R., Kirschbaum, D., and Stanley, T. (2021). Global connections between El Nino and landslide impacts. Nature communications. 12. doi: 10.1038/s41467-021-22398-4.
8. Emberson, R., Kirschbaum, D., and Stanley, T. (2020). New global characterisation of landslide exposure. Natural Hazards and Earth System Sciences. 20: 3413-3424. doi: 10.5194/nhess-20-3413-2020. 
9. Handwerger, A. L., Huang, M.-H., Jones, S. Y., Amatya, P., Kerner, H. R., and Kirschbaum, D. B. (2022). Generating landslide density heatmaps for rapid detection using open-access satellite radar data in Google Earth Engine. Natural Hazards and Earth System Sciences. 22, 753–773, doi: 10.5194/nhess-22-753-2022, 2022.
10. Juang CS, Stanley TA, and Kirschbaum DB (2019) Using citizen science to expand the global map of landslides: Introducing the Cooperative Open Online Landslide Repository (COOLR). PLOS ONE. 14(7): e0218657. doi: 1371/journal.pone.0218657.
11. Khan, S., Kirschbaum, D., and Stanley, T. (2021). Investigating the potential of a global precipitation forecast to inform landslide prediction. Weather and Climate Extremes. 33. doi: 1016/j.wace.2021.100364. 
12. Kirschbaum, D. and Stanley, T. (2018). Satellite-Based Assessment of Rainfall-Triggered Landslide Hazard for Situational Awareness. Earth's Future. doi: 1002/2017EF000715.
13. Kirschbaum, D.B., Stanley, T., and Zhou, Y. (2015), Spatial and temporal analysis of a global landslide catalog. Geomorphology, 249, 4-15. doi: 1016/j.geomorph.2015.03.016.
14. Kirschbaum, D.B., Adler, R., Hong, Y., Hill, S., and Lerner-Lam, A. (2010), A global landslide catalog for hazard applications: method, results, and limitations. Natural Hazards, 52,561-575. doi: 1007/s11069-009-9401-4. 
15. Stanley, T., and D. B. Kirschbaum. 2017. "A heuristic approach to global landslide susceptibility mapping." Natural Hazards, 1-20. doi: 10.1007/s11069-017-2757-y.
16. Stanley, T., Kirschbaum, D., Benz, G., Emberson, R., Amatya, P., Medwedeff, W., and Clark, Marin. (2021). Data-Driven Landslide Nowcasting at the Global Scale. Frontiers in Earth Science. 9. doi: 10.3389/feart.2021.640043.
17. Tanyas, H., Kirschbaum, D., Görüm, T., J. van Westen, C., Tang, C., and Lombardo, L. (2021). A closer look at factors governing landslide recovery time in post-seismic periods. Geomorphology.  391. doi: 10.1016/j.geomorph.2021.107912. 
18. Tanyas, H., Kirschbaum, D., and Lombardo, L. (2021). Capturing the footprints of ground motion in the spatial distribution of rainfall-induced landslides. Bull Eng Geol Environ. 80. doi: 10.1007/s10064-021-02238-x.

In the Media

1. “Predicting Post-Fire Debris Flows from Space”, EurekAlert!, Portland, OR (October 11, 2021) 
2. “New Techniques in Forecasting Landslides”, KPCW, Park City, UT (September 30, 2021)
3. “Haiti earthquake triggered widespread landslides; Grace may have unleashed more”, The Washington Post, Washington, D.C. (August 17, 2021)
4. “Earthquake in Haiti Triggers Landslides”, NASA Earth Observatory, Greenbelt, MD (August 16, 2021) 
5. “Satellites Support Disaster Response to Storm-Driven Landslides”, EOS Science News by AGU, Greenbelt, MD (August 9, 2021)
6. “Machine Learning Model Doubles Accuracy of Global Landslide ‘Nowcasts’”, NASA’s Earth Science News Team, Greenbelt, MD (June 10, 2021)
7. “New NASA Landslide Mapping System Running at NCCS”, NASA Center for Climate Simulation, Greenbelt, MD (March 12, 2021)
8. “NASA Helps the World Weather the 2020 Hurricane Season”, NASA Earth Science Applied Sciences, Greenbelt, MD (February 25, 2021)
9. “NASA, Rio de Janeiro Extend Disaster Preparedness Partnership”, NASA, Greenbelt, MD (January 27, 2021)
10. “A Slippery Slope: Could Climate Change Lead to More Landslides?”, EOS Science News by AGU, Greenbelt, MD (November 23, 2020)
11. “Mapping Landslide Hazards in Central America”, NASA Earth Observatory, Greenbelt, MD (November 18, 2020)
12. “How a Constellation of Satellites Help Study Landslides”, KPCW, Park City, UT (July 12, 2020)
13. “Climate change could trigger more landslides in High Mountain Asia”, EurekAlert!, Portalnd, OR (February 11, 2020)
14. "Citizen science: crowdsourcing data to support disaster response", United Nations Environment Programme, Nairobi, Kenya (24 December 2018)
15. "Science Together – Contributing to Citizen Science Projects Around the World", EuroScientist, Strasbourg, France (November 11, 2018)
16. "NCCS GIS Capabilities Support NASA Disaster Mapping and Citizen Science", NASA Center for Climate Simulation, Greenbelt, MD (November 5, 2018)
17. "NASA Landslide Project: Citizen scientists wanted", KATU News, Portland, OR (October 2, 2018)
18. "LiDAR a Key Component of Landslide Loss Prevention", Directions Magazine, Glencoe, IL (July 11, 2018)
19. "NASA builds open global landslide catalog to improve disaster preparedness", UNOOSA UN-SPIDER Knowledge Portal, Vienna, Austria (June 7, 2018)
20. "Help NASA create the word's largest landslide database", EarthSky, Austin, TX (May 7, 2018)
21. "Help NASA Create the Largest Landslide Database", NASA Precipitation Measurement Missions, Greenbelt, MD (April 18, 2018)
22. "Help NASA Create the Largest Landslide Database", NASA Earth Observatory: Earth Matters Blog, Greenbelt, MD (April 18, 2018)
23. "Image of the Day: Predicting Landslide Hazards in Near Real-Time", NASA Earth Observatory, Greenbelt, MD (April 18, 2018)
24. "You can help compile the NASA landslide catalogue", AGU Blogosphere: The Landslide Blog, Washington, DC (March 27, 2018)
25. “Un modéle de la Nasa permet d’estimer les risques en quasi temps réel les glissements de terrain,” CATastrophes NATurelles, Saint Martin de Laye, France (March 26, 2018)
26. "NASA models landslide climatology", AGU Blogosphere: The Landslide Blog, Washington, DC (March 26, 2018)
27. "Help NASA Build the Largest Open Landslide Catalog with Landslide Reporter", Discover: Citizen Science Salon, Waukesha, WI (March 23, 2018)
28. "Help NASA Build the Largest Open Landslide Catalog with Landslide Reporter", PLOS Blogs: CitizenSci, San Francisco, CA (March 23, 2018)
29. "Help NASA Build the Largest Open Landslide Catalog with Landslide Reporter", SciStarter, Tempe, AZ (March 23, 2018)
30. "New NASA Model Could Help Predict Landslides (Video)", com, New York, NY (March 23, 2018)
31. "Help NASA Build the Largest Open Landslide Catalog with Landslide Reporter", gov, Washington, DC (March 22, 2018)
32. "Modeling Landslide Threats in Near Realtime", NASA Precipitation Measurement Missions, Greenbelt, MD (March 22, 2018)
33. "New NASA Model Finds Landslide Threats in Near Real-Time During Heavy Rains", NASA, Greenbelt, MD (March 22, 2018)
34. “The Extreme Inequality of landslides”, Geographical Magazine, (April 20, 2017) 

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