Crystal B. Schaaf
Affiliations: | Boston University, Boston, MA, United States |
Area:
Physical Geography, Remote Sensing, Atmospheric SciencesGoogle:
"Crystal Schaaf"Children
Sign in to add traineeZiti Jiao | grad student | 2009 | Boston University |
Miguel O. Roman | grad student | 2009 | Boston University |
Yanmin Shuai | grad student | 2010 | Boston University |
Zhuosen Wang | grad student | 2011 | Boston University |
Xiaoyuan Yang | grad student | 2012 | Boston University |
Qingsong Sun | grad student | 2014 | Boston University |
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Publications
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Ingty T, Erb A, Zhang X, et al. (2023) Climate change is leading to rapid shifts in seasonality in the himalaya. International Journal of Biometeorology |
Boucher PB, Hancock S, Orwig DA, et al. (2020) Detecting Change in Forest Structure with Simulated GEDI Lidar Waveforms: A Case Study of the Hemlock Woolly Adelgid (HWA; Adelges tsugae) Infestation Remote Sensing. 12: 1304 |
Liu Y, MacKenzie CM, Primack RB, et al. (2019) Using Remote Sensing to Monitor the Spring Phenology of Acadia National Park across Elevational Gradients Biogeosciences Discussions. 1-27 |
Paynter I, Schaaf C, Bowen J, et al. (2019) Characterizing a New England Saltmarsh with NASA G-LiHT Airborne Lidar Remote Sensing. 11: 509 |
Wei S, Fang H, Schaaf CB, et al. (2019) Global 500 m clumping index product derived from MODIS BRDF data (2001–2017) Remote Sensing of Environment. 232: 111296 |
Zhu Z, Wulder MA, Roy DP, et al. (2019) Benefits of the free and open Landsat data policy Remote Sensing of Environment. 224: 382-385 |
Wulder MA, Loveland TR, Roy DP, et al. (2019) Current status of Landsat program, science, and applications Remote Sensing of Environment. 225: 127-147 |
Jiao Z, Ding A, Kokhanovsky A, et al. (2019) Development of a snow kernel to better model the anisotropic reflectance of pure snow in a kernel-driven BRDF model framework Remote Sensing of Environment. 221: 198-209 |
Disney M, Burt A, Calders K, et al. (2019) Innovations in Ground and Airborne Technologies as Reference and for Training and Validation: Terrestrial Laser Scanning (TLS) Surveys in Geophysics. 40: 937-958 |
Paynter I, Genest D, Saenz E, et al. (2018) Classifying ecosystems with metaproperties from terrestrial laser scanner data. Methods in Ecology and Evolution. 9: 210-222 |