UMass Boston

Publications 2010 to 2020


Calders, K., Adams, J., Armston, J., Bartholomeus, H., Bauwens, S., Patrick Bentley, L., Chave, J., Danson, F. M., Demol, M., Disney, M., Gaulton, R., Krishna Moorthy, S. M., Levick, S. R., Saarinen, N., Schaaf, C., Stovall, A., Terryn, L., Wilkes, P., Verbeeck, H., 2020. Terrestrial laser scanning in forest ecology: expanding the horizon. Remote Sensing of Environment, 251.

Boucher, P.B., Hancock, S., Orwig, D.A., Duncanson, L., Armston, J., Tang, H., Krause, K., Cook, B., Paynter, I., Li, Z., Elmes, A., and Schaaf, C., 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 (8): 1304.


Potter, S., Solvik, K., Erb, A., Goetz, S.J., Johnstone, J.F., Mack, M.C., Randerson, J.T., Román, M.O., Schaaf, C.L., Turetsky, M.R. and Veraverbeke, S., Walker, X.J., Wang, Z., Massey, R., Rogers, B.M., 2019. Climate change decreases the cooling effect from post‐fire albedo in boreal North America. Global change biology.

Bruegge, C., Coburn, C., Elmes, A., Helmlinger, M. C., Kataoka, F., Kuester, M., Kuze, A., Ochoa, T., Schaaf, C., Shiomi, K., and Schwander, F. M., 2019. Bi-Directional Reflectance Factor Determination of the Railroad Valley Playa. Remote Sensing, 11 (12). http://doi:10.3390/rs11222601

Wei, S., Fang, H., Schaaf, C. B., He, L., Chen, J. M., 2019. Global 500 m clumping index product derived from MODIS BRDF data (2001–2017). Remote Sensing of Environ., 232.

Wulder, M.A., Loveland, T.R., Roy, D.P., Crawford, C.J., Masek, J.G., Woodcock, C.E., Allen, R.G., Anderson, M.C., Belward, A.S., Cohen, W.B., Dwyer, J., Erb, A., Gao, F., Griffiths, P., Helder, D., Hermosilla, T., Hipple, J. D., Hostert, P., Hughes, M. J., Huntington, J., Johnson, D., M., Kennedy, R., Kilic, A., Li, Z., Lymburner, L., McCorckel, J., Pahlevan, N., Scambos, T. A., Schaaf, C., Schott, J. R., Sheng, Y., Storey, J., Vermote, E., Vogelmann, J., White, J. C., Wynne, R. H., and Zhu, Z., 2019. Current Status of Landsat Program, Science, and Applications. Remote Sensing of Environ., 225: 127–47.

Wang, Z., Schaaf, C., Lattanzio, A., Carrer, D., Grant, I., Román, M., Camacho, F., Yu, Y., Sánchez-Zapero, J. & Nickeson, J. 2019. Global Surface Albedo Product Validation Best Practices Protocol. Version 1.0. In Z. Wang, J. Nickeson & M. Román (Eds.), Best Practice for Satellite Derived Land Product Validation (p. 45): Land Product Validation Subgroup (WGCV/CEOS). doi:10.5067/DOC/CEOSWGCV/LPV/ALBEDO.001.

Disney, M. I., Burt, A., Calders, K., Schaaf, C. and Stovall, A. 2019. Innovations in ground and airborne technologies as reference and for training and validation: Terrestrial Laser Scanning (TLS), Surveys in Geophysics vol. 71: Forest Biomass and Structure from Space, eds. K. Scipal. R. Dubyah, T. Le Toan, S. Quegan, A. Cazenave and T. Lopez.

Paynter, I., Schaaf, C., Bowen, J. L., Deegan, L., Peri, F., & Cook, B. 2019. Characterizing a New England Saltmarsh with NASA G-LiHT Airborne Lidar. Remote Sensing, 11(509).

Tang, H., Song, X., Zhao, F. A., Strahler, A. H., Schaaf, C. L., Goetz, S., Huang, C., Hansen, M. C., Dubayah, R. 2019. Definition and measurement of tree cover: A comparative analysis of field-, lidar- and landsat-based tree cover estimations in the Sierra national forests, USA. Agricultural and Forest Meteorology, 268: 258-268.

Zhu, Z., Wulder, M.A., Roy, D.P., Woodcock, C.E., Hansen, M.C., Radeloff, V.C., Healey, S.P., Schaaf, C., Hostert, P., Strobl, P., Pekel, JF., Lymburner, L., Pahlevan, N., and Scambos, T.A. 2019. Benefits of the free and open Landsat data policy. Remote Sensing of Environ, 224, 382-385.

Jiao, Z., Ding, A., Kokhanovsky, A., Schaaf, C., Bréon, F. M., Dong, Y., Wang, Z., Liu, Y., Zhang, X., Yin, S., Cui, L., Mei, L., and Chang, Y. 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 Environ, 221(19), 198–209.


Kim, Y., Kimball, J.S., Du, J., Schaaf, C.L.B., & Kirchner, P.B. 2018. Quantifying the effects of freeze-thaw transitions and snowpack melt on land surface albedo and energy exchange over Alaska and Western Canada Quantifying the effects of freeze-thaw transitions and snowpack melt on land surface albedo and energy exchange. Environ. Res. Lett, 13,

Liu, Q., Yan G., Jiao, Z., Xiao, Q., Wen, J., Liang, S., Wang, J., Schaaf, C., and Strahler, A. 2018. From Geometric-Optical Remote Sensing Modeling to Quantitative Remote Sensing Science -- in Memory of Academician Xiaowen Li. Remote Sensing, 10(11), 1764.

Duchesne, R. R., Chopping, M. J., Tape, K. D., Wang, Z., & Schaaf, C. L. B. 2018. Changes in tall shrub abundance on the North Slope of Alaska, 2000–2010. Remote Sens of Environ, 219, 221–232.

Li, Z., Erb, A., Sun, Q., Liu, Y., Shuai, Y., Wang, Z., Boucher, P., Schaaf, C., 2018. Preliminary assessment of 20-m surface albedo retrievals from sentinel-2A surface reflectance and MODIS/VIIRS surface anisotropy measures. Remote Sens of Environ, 217, 352–365.

Paynter, I., Genest, D., Saenz, E., Peri, F., Li, Z., Strahler, A., Schaaf, C., 2018. Quality Assessment of Terrestrial Laser Scanner Ecosystem Observations Using Pulse Trajectories. IEEE Trans. Geosci Remote Sens, 56(11), 6324-6333.

Jiao, Z., Zhang, X., Bréon, F.M., Dong, Y., Schaaf, C.B., Román, M., Wang, Z., Cui, L., Yin, S., Ding, A., & Wang, J. 2018. The influence of spatial resolution on the angular variation patterns of optical reflectance as retrieved from MODIS and POLDER measurements. Remote Sens. Environ. 215, 371–385. doi:10.1016/j.rse.2018.06.025

Riihelä, A., Manninen, T., Key, J., Sun, Q., Sütterlin, M., Lattanzio, A., & Schaaf, C. 2018. A Multisensor Approach to Global Retrievals of Land Surface Albedo. doi:10.3390/rs10060848

Zhang, X., Liu, L., Liu, Y., Jayavelu, S., Wang, J., Moon, M., Henebry, G. M., Friedl, M. A., Schaaf, C. B. 2018. Generation and evaluation of the VIIRS land surface phenology product. Remote Sens. Environ., 216, 212–229.

Zhang, X., Jayavelu, S., Liu, L., Friedl, M.A., Henebry, G.M., Liu, Y., Schaaf, C.B., Richardson, A.D., & Gray, J. 2018. Evaluation of land surface phenology from VIIRS data using time series of PhenoCam imagery. Agric. For. Meteorol. 256–257, 137–149.

Jiao, Z., Dong, Y., Schaaf, C.B., Chen, J.M., Román, M., Wang, Z., Zhang, H., Ding, A., Erb, A., Hill, M.J., Zhang, X., & Strahler, A. 2018. An algorithm for the retrieval of the clumping index (CI) from the MODIS BRDF product using an adjusted version of the kernel-driven BRDF model. Remote Sens. Environ. 209, 594–611.

Kim, J. H., Hwang, T., Yang, Y., Schaaf, C. L., Boose, E., & Munger, J. W. 2018. Warming-Induced Earlier Greenup Leads to Reduced Stream Discharge in a Temperate Mixed Forest Catchment. Journal of Geophysical Research: Biogeosciences, 123(6), 1960–1975.

Kim, J., Hwang, T., Schaaf, C.,  Kljun, N., & Munger, J. W, 2018. Seasonal variation of source contributions to eddy-covariance CO2 measurements in a mixed hardwood-conifer forest. Agricultural and Forest Meteorology, 253-254, 71–83.

Manninen, T., Riihelä, A., Heidinger, A., Schaaf, C., Lattanzio A., & Key, J. 2018. Intercalibration of Polar-Orbiting Spectral Radiometers Without Simultaneous Observations. IEEE Trans. Geosci. Remote Sens., 56(3), 1507-1519.

Paynter, I., Genest, D., Peri, F., & Schaaf, C. 2018. Bounding uncertainty in volumetric geometric models for terrestrial lidar observations of ecosystems. Interface Focus 8(2).

Orwig, D.A., Boucher, P., Paynter, I., Saenz, E., Li, Z., & Schaaf, C. 2018. The potential to characterize ecological data with terrestrial laser scanning in Harvard Forest, MA. Interface Focus 8(2).

Li, Z., Schaefer, M., Strahler, A., Schaaf, C., & Jupp, D. 2018. On the utilization of novel spectral laser scanning for three-dimensional classification of vegetation elements. Interface Focus 8(2).

Media Coverage: 

Royal Society Blogs: The Terrestrial Laser Scanning Revolution in Forest Ecology

Interface Focus Issue on TLS in Forest Ecology

Paynter, I., Genest, D., Saenz, E., Peri, F., Boucher, P., Li, Z., Strahler, A., & Schaaf, C. 2018. Classifying Ecosystems with Metaproperties from Terrestrial Laser Scanner Data. Methods in Ecology and Evolution, 9(2), 210–222.

Wang, Z., Schaaf, C. B., Sun, Q., Shuai, Y., & Román, M. O. 2018. Capturing Rapid Land Surface Dynamics with Collection V006 MODIS BRDF/NBAR/Albedo (MCD43) Products. Remote Sensing of Environment, 207(February), 50–64.

Klosterman, S., Melaas, E., Wang, J., Martinez, A., Frederick, S., O’Keefe, J., Orwig, D.A., Wang, Z., Sun, Q., Schaaf, C., Friedl, M.A., & Richardson, A.D. 2018. Fine-scale perspectives on landscape phenology from unmanned aerial vehicle (UAV) photography. Agric. For. Meteorol. 248, 397–407. 


Jiao, T., Williams, C. A., Ghimire, B., Masek, J., Gao, F., & Schaaf, C. 2017. Global climate forcing from albedo change caused by large-scale deforestation and reforestation: quantification and attribution of geographic variation. Climatic Change, 142(3-4), 463-476. DOI 10.1007/s10584-017-1962-8

Trlica, A., Hutyra, L. R., Schaaf, C. B., Erb, A., & Wang, J. A. 2017. Albedo, Land Cover, and Daytime Surface Temperature Variation across an Urbanized Landscape. Earth’s Future, 5(11), 1084–1101.

Liu, Y., Wang, Z., Sun, Q., Erb, A. M., Li, Z., Schaaf, C. B., Zhang, X., Román, M. O., Scott, R. L., Zhang, Q., Novick, K. A., Syndonia Bret-Harte, M., Petroy, S., & SanClements, M. 2017. Evaluation of the VIIRS BRDF, Albedo and NBAR Products Suite and an Assessment of Continuity with the Long Term MODIS Record. Remote Sensing of Environment, 201, 256–274.

Wang, Z., Schaaf, C. B., Sun, Q., Kim, J., Erb, A. M., Gao, F., Román, M. O., Yang, Y., Petroy, S., Taylor, J. R., Masek, J. G., Morisette, J. T., Zhang, X., & Papuga, S. A. 2017. Monitoring Land Surface Albedo and Vegetation Dynamics Using High Spatial and Temporal Resolution Synthetic Time Series from Landsat and the MODIS BRDF/NBAR/albedo Product. International Journal of Applied Earth Observation and Geoinformation, 59, 104–117.

Kim, J., Hwang, T., Schaaf, C. B., Orwig, D. A., Boose, E., & Munger, W. J. 2017. Increased Water Yield due to the Hemlock Woolly Adelgid (HWA) Infestation in New England. Geophysical Research Letters, 2327–2335.

Media Coverage:

Science Magazine: Research links decline in hemlock forests to changes in water resources

AGU Blogosphere: Research links decline in hemlock forests to changes in water resources

Geophysical Research Letters: Cover page story

Moustafa, S. E., Rennermalm, A. K., Rom?n, M. O., Wang, Z., Schaaf, C. B., Smith, L. C., Koenig, L. S., & Erb, A. 2017. Evaluation of Satellite Remote Sensing Albedo Retrievals over the Ablation Area of the Southwestern Greenland Ice Sheet. Remote Sensing of Environment, 198, 115–125.

Cooper, S. D., Roy, D. P., Schaaf, C. B., & Paynter, I. 2017. Examination of the Potential of Terrestrial Laser Scanning and Structure-from-Motion Photogrammetry for Rapid Nondestructive Field Measurement of Grass Biomass. Remote Sensing, 9(531).

Liu, Y., Hill, M. J., Zhang, X., Wang, Z., Richardson, A. D., Hufkens, K., Filippa, G., Baldocchi, D. D., Ma, S., Verfaillie, J., & Schaaf, C. B. 2017. Using Data from Landsat, MODIS, VIIRS and PhenoCams to Monitor the Phenology of California Oak/grass Savanna and Open Grassland across Spatial Scales. Agricultural and Forest Meteorology, 237–238, 311–325.

Sun, Q., Wang, Z., Li, Z., Erb, A., & Schaaf, C. B. 2017. Evaluation of the Global MODIS 30 Arc-Second Spatially and Temporally Complete Snow-Free Land Surface Albedo and Reflectance Anisotropy Dataset. International Journal of Applied Earth Observation and Geoinformation, 58, 36–49.

Pahlevan, N., Schott, J. R., Franz, B. A., Zibordi, G., Markham, B., Bailey, S., Schaaf, C. B., Ondrusek, M., Greb, S., & Strait, C. M. 2017. Landsat 8 Remote Sensing Reflectance (Rrs) Products: Evaluations, Intercomparisons, and Enhancements. Remote Sensing of Environment, 190, 289–301.

Hill, M. J., Zhou, Q., Sun, Q., Schaaf, C. B., & Palace, M. 2017. Relationships between Vegetation Indices, Fractional Cover Retrievals and the Structure and Composition of Brazilian Cerrado Natural Vegetation. International Journal of Remote Sensing, 38(3), 874–905.

Zhang, X., Wang, J., Gao, F., Liu, Y., Schaaf, C., Friedl, M., Yu, Y., Jayavelu, S., Gray, J., Liu, L., Yan, D., & Henebry, G. M. (2017). Exploration of Scaling Effects on Coarse Resolution Land Surface Phenology. Remote Sensing of Environment, 190, 318–330.


Burkhart, J. F., Kylling, A., Schaaf, C. B., Wang, Z., Bogren, W., Storvold, R., Sølbo, S., Pedersen, C. A., & Gerland, S. 2016. Unmanned Aerial System Nadir Reflectance and MODIS Nadir BRDF-Adjusted Surface Reflectances Intercompared over Greenland. The Cryosphere Discussions, (December), 1–29.

Salisbury, J., Davis, C., Erb, A., Hu, C., Gatebe, C., Jordan, C., Lee, Z., Mannino, A., Mouw, C., Schaaf, C., Schaeffer, B., & Tzortziou, M. 2016. Coastal Observations from a New Vantage Point. Eos, 97.

Jiao, Z., Schaaf, C. B., Dong, Y., Román, M., Hill, M. J., Chen, J. M., Wang, Z., Zhang, H., Saenz, E., Poudyal, R., Gatebe, C., Bréon, F.-M., Li, X., & Strahler, A. 2016. A Method for Improving Hotspot Directional Signatures in BRDF Models Used for MODIS. Remote Sensing of Environment, 186, 135–151.

Paynter, I., Saenz, E., Genest, D., Peri, F., Erb, A., Li, Z., Wiggin, K., Muir, J., Raumonen, P., Schaaf, E. S., Strahler, A., & Schaaf, C. 2016. Observing Ecosystems with Lightweight, Rapid-Scanning Terrestrial Lidar Scanners. Remote Sensing in Ecology and Conservation, 1–16. doi: 10.1002/rse2.26

Media Coverage:

ZSL Blog: Observing ecosystems with lightweight, rapid-scanning terrestrial lidar scanners

DailyMail: Beautiful scans recreate Treak Cliff Cavern in Derbyshire

Zhou, Q., Hill, M. J., Sun, Q., & Schaaf, C. B. (2016). Retrieving Understorey Dynamics in the Australian Tropical Savannah from Time Series Decomposition and Linear Unmixing of MODIS Data. International Journal of Remote Sensing, 37(6), 1445–1475.

Wang, Z., Erb, A. M., Schaaf, C. B., Sun, Q., Liu, Y., Yang, Y., Shuai, Y., Casey, K. A., & Román, M. O. 2016. Early Spring Post-Fire Snow Albedo Dynamics in High Latitude Boreal Forests Using Landsat-8 OLI Data. Remote Sensing of Environment, 185, 71–83.

Li, Z., Jupp, D., Strahler, A., Schaaf, C., Howe, G., Hewawasam, K., Douglas, E., Chakrabarti, S., Cook, T., Paynter, I., Saenz, E., & Schaefer, M. 2016. Radiometric Calibration of a Dual-Wavelength, Full-Waveform Terrestrial Lidar. Sensors, 16(3), 313.

Hill, M. J., Zhou, Q., Sun, Q., Schaaf, C. B., Southworth, J., Mishra, N. B., Gibbes, C., Bunting, E., Christiansen, T. B., & Crews, K. A. 2016. Dynamics of the Relationship between NDVI and SWIR32 Vegetation Indices in Southern Africa: Implications for Retrieval of Fractional Cover from MODIS Data. International Journal of Remote Sensing, 37(6), 1476–1503.

Campagnolo, M. L., Sun, Q., Liu, Y., Schaaf, C. B., Wang, Z., & Román, M. O. 2016. Estimating the Effective Spatial Resolution of the Operational BRDF, Albedo, and Nadir Reflectance Products from MODIS and VIIRS. Remote Sensing of Environment, 175, 52–64.

Roy, D. P., Zhang, H. K., Ju, J., Gomez-Dans, J. L., Lewis, P. E., Schaaf, C. B., Sun, Q., Li, J., Huang, H., & Kovalskyy, V. 2016. A General Method to Normalize Landsat Reflectance Data to Nadir BRDF Adjusted Reflectance. Remote Sensing of Environment, 176, 255–271.

Zoogman, P., Liu, X., Chance K., Sun, Q., Schaaf, C., Mahr, T., & Wagner T. 2016. A Climatology of Visible Surface Reflectance Spectra. Journal of Quantitative Spectroscopy and Radiative Transfer 180, 39-46.

Pahlevan, N., Sheldon, P., Peri, F., Wei, J., Shang, Z., Sun, Q., Chen, R.F, Lee, Z., Schaaf, C.B., Schott, J.R., & Loveland, T. 2016. Calibration/validation of Landsat-Derived Ocean Colour Products in Boston Harbour. ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 1165-1168.



Calders, K., Newnham, G., Armston, J., Disney, M. I., Schaaf, C., & Paynter, I. 2015. Chapter 2.10 Terrestrial Lidar for Forest Monitoring. In A sourcebook of methods and procedures for monitoring and reporting anthropogenic greenhouse gas emissions and removals associated with deforestation, gains and losses of carbon stocks in forests remaining forests, and forestation. GOFC-GOLD Report version COP21-1. (GOFC-GOLD Land Cover Project Office, Wageningen University, The Netherlands).

Newnham, Glenn J., John D. Armston, Kim Calders, Mathias I. Disney, Jenny L. Lovell, Crystal B. Schaaf, Alan H. Strahler, and F. Mark Danson. 2015.  "Terrestrial laser scanning for plot-scale forest measurement." Current Forestry Reports 1, no. 4: 239-251.

O’Brien, Patrick, Ellen M. Douglas, and Crystal Schaaf. 2015. "Examining Water Use Regimes of Suburban Watersheds at Annual and Subannual Timescales." Journal of Hydrologic Engineering 21, no. 1: 05015012.

Sütterlin, M., C. B. Schaaf, R. Stöckli, Q. Sun, F. Hüsler, C. Neuhaus, and S. Wunderle. 2015. "Albedo and reflectance anisotropy retrieval from AVHRR operated onboard NOAA and MetOp satellites: Algorithm performance and accuracy assessment for Europe." Remote Sensing of Environment 168: 163-176.

Liu, L., Liang, L., Schwartz, M. D., Donnelly, A., Wang, Z., Schaaf, C. B., & Liu, L. 2015. Evaluating the potential of MODIS satellite data to track temporal dynamics of autumn phenology in a temperate mixed forest. Remote Sensing of Environment, 160, 156-165.

Liu, C., Huang, H., Gong, P., Wang, X., Wang, J., Li, W., Li, C., Li, Z. Joint use of ICESat/GLAS and landsat data in land cover classification: A case study in Henan Province, China Article in Scopus, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Volume 8, Issue 2, 1, February 2015, Pages 511-522.

Hancock, S., Armston, J., Li, Z., Gaulton, R., Lewis, P., Disney, M., Danson, F. M., Strahler, A., Schaaf, C., Anderson, K., & Gaston, K. J. 2015. Waveform lidar over vegetation: An evaluation of inversion methods for estimating return energy. Remote Sensing of Environment, 164, 208-224.

Wang, D., Liang, S., He, T., Yu, Y., Schaaf, C., & Wang, Z. 2015. Estimating daily mean land surface albedo from MODIS data. Journal of Geophysical Research: Atmospheres.

Burakowski, E.A., Ollinger, S.V., Lepine, L., Schaaf, C.B., Wang, Z., Dibb, J.E., Hollinger, D.Y., Kim, J., Erb, A., & Martin M. 2015. Spatial Scaling of Reflectance and Surface Albedo Over a Mixed-Use, Temperate Forest Landscape During Snow-Covered Periods. Remote Sensing of Environment 158, 465-477.

Douglas, E. S., Martel, J., Li, Z., Howe, G., Hewawasam, K., Marshall, R. A., Schaaf, C. L., Cook, T. A., Newnham, G. J., Strahler, A., & Chakrabarti, S. 2015. Finding Leaves in the Forest: The Dual-Wavelength Echidna Lidar. Geoscience and Remote Sensing Letters, IEEE, 12(4), 776–780.




Kala, J., Evans, J. P., Pitman, A. J., Schaaf, C. B., Decker, M., Carouge, C., Mocko, D., and Sun, Q. (2014) Implementation of a soil albedo scheme in the CABLEv1.4b land surface model and evaluation against MODIS estimates over Australia, Geosci. Model Dev., 7, 2121-2140,

Ghimire, B., C. A. Williams, J. Masek, F. Gao, Z. Wang, C. Schaaf, and T. He (2014), Global albedo change and radiative cooling from anthropogenic land cover change, 1700 to 2005 based on MODIS, land use harmonization, radiative kernels, and reanalysis, Geophys. Res. Lett., 41, 9087–9096, doi:10.1002/2014GL061671.

Gao, F., He, T., Wang, Z., Ghimire, B., Shuai, Y., Masek, J., Schaaf, C. & Williams, C. (2014) Multiscale climatological albedo look-up maps derived from moderate resolution imaging spectroradiometer BRDF/albedo products. Journal of Applied Remote Sensing. 083532-1, Vol. 8.

Pahlevan, N., Lee, Z., Wei, J., Schaaf, C., Schott, J., & Berk, A. (2014) On-orbit characterization of OLI (Landsat-8) for applications in aquatic remote sensing. Remote Sensing of Environment. 154, 272-284.

Kala, J., Evans, J., Pitman, A., Schaaf, C., Decker, M., Carouge, C., Mocko, D. & Sun, Q. (2014) Implementation of a soil albedo scheme in the CABLEv1.4b land surface model and evaluation against MODIS estimates over Australia. Geoscience Model Developments. 7, 2121-2140.

Gao, F., He, T., Masek, J., Shuai, Y., Schaaf, C., Wang, Z. (2014) Angular Effects and Correction for Medium Resolution Sensors to Support Crop Monitoring. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10.1109

Liang. L, Schwatz, M., Wang, Z., Gao, F., Schaaf, C., Tan, B., Morisette, J., & Zhang, X. (2014) A Cross Comparison of Spatiotemporally Enhanced Springtime Phenological Measurements From Satellites and Ground in a Northern U.S. Mixed Forest. IEEE Transactions on Geoscience and Remote Sensing, 52, 12, 7513-7526.

Shuai, Y., Masek, J., Gao, F., Schaaf, C. & He, T. (2014) An approach for the long-term 30-m land surface snow-free albedo retrieval from historic Landsat surface reflectance and MODIS-based a priori anisotropy knowledge. Remote Sensing of Environment, 152, 467-479.

Roy, D. P., Wulder, M. A., Loveland, T. R., Allen, R. G., Anderson, M. C., Helder, D., ... & Zhu, Z. (2014) Landsat-8: Science and product vision for terrestrial global change research. Remote Sensing of Environment, 145, 154-172.

Proud, S. R., Zhang, Q., Schaaf, C., Fensholt, R., Rasmussen, M. O., Shisanya, C., ... & Sandholt, I. The Normalization of Surface Anisotropy Effects Present in SEVIRI Reflectances by Using the MODIS BRDF Method. IEEE Transactions on Gescience and Remote Sensing, 52, 6026-6039, 10.1109/TGRS.2013.2294602.

Kuusinen, N., Tomppo, E., Shuai, Y., & Berninger, F. (2014). Effects of forest age on albedo in boreal forests estimated from MODIS and Landsat albedo retrievals. Remote Sensing of Environment, 145, 145-153.

Jiao, Z., Hill, M. J., Schaaf, C. B., Zhang, H., Wang, Z., & Li, X. (2014). An Anisotropic Flat Index (AFX) to derive BRDF archetypes from MODIS. Remote Sensing of Environment, 141, 168-187.

Wang, Z., C.B. Schaaf, A.H. Strahler, M.J. Chopping, M.O. Román, Y. Shuai, C.E. Woodcock, D.Y. Hollinger, D.R. Fitzjarrald, Evaluation of MODIS albedo product (MCD43A) over grassland, agriculture and forest surface types during dormant and snow-covered periods, Remote Sensing of Environment, 140, 60-77, 2014.

Wright, P., M. Bergin, J. Dibb, B. Lefer, F. Domine, T. Carman, C. Carmagnola, M. Dumont, Z. Courville, C. Schaaf, Z. Wang, Comparing MODIS daily snow albedo to spectral albedo field measurements in Central Greenland, Remote Sensing of Environment, 140, 118-129, 2014.

H. Tang, M. Brolly, F. Zhao, A.H. Strahler, C.L. Schaaf. Deriving and validating Leaf Area Index (LAI) at multiple spatial scales through lidar remote sensing: A case study in Sierra National Forest, CA, Remote Sensing of Environment, 2014.




Yang, X., Schaaf, C., Strahler, A., Kunz, T., Fuller, N., Betke, M., ... & Lovell, J. (2013). Study of bat flight behavior by combining thermal image analysis with a LiDAR forest reconstruction. Canadian Journal of Remote Sensing, 39(s1), S112-S125.

Justice, C.O., M.O. Roman, I.Csiszar, E.F. Vermote, R.E. Wolfe, S.J. Hook, M. Friedl, Z. Wang, C.B. Schaaf, T. Miura, M. Tschudi, G. Riggs, D.K. Hall, A.I. Lyapustin, S. Devadiga,C. Davidson, E.J. Masuoka, Land and cryosphere products from Suomi NPP VIIRS:Overview and status , Journal of Geophysical Research:Atmospheres, Vol. 118, 1-13,doi:10.1002/jgrd.50771, 2013.

Polgar, C.A., R. B. Primack, J. S. Dukes, C. Schaaf, Z. Wang, S. S. Hoeppner, Tree leaf out response to temperature: comparing field observations, remote sensing, and a warming experiment, International Journal of Biometeorology, DOI 10.1007/s00484-013-0718-z, 2013.

Stroeve,J., J. E. Box, Z. Wang, C. Schaaf, A. Barrett, Re-evaluation of MODIS MCD43 Greenland albedo accuracy and trends , Remote Sensing of Environment, 138, 199-214, 2013.

Huang, X., Z. Jiao, Y. Dong, H. Zhang, X. Li, Analysis of BRDF and Albedo Retrieved by Kernel-Driven Models Using Field Measurements, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(1), 149-161, 2013.

Zhao, F., X. Yang, A. H. Strahler, C. B. Schaaf, T. Yao, Z. Wang, M. O. Román, C. E. Woodcock, W. Ni-Meister, D. L.B. Jupp, J. L. Lovell, D. S. Culvenor, G. J. Newnham, H. Tang, R. O. Dubayah, A comparison of foliage profiles in the Sierra National Forest obtained with a full-waveform under-canopy EVI lidar system with the foliage profiles obtained with an airborne full-waveform LVIS lidar system , Remote Sensing of Environment, 136, 330-341 , 2013.

Shuai,Y., C. Schaaf, X. Zhang, A. Strahler, D. Roy, J. Morisette, Z. Wang, J. Nightingale, J. Nickeson, A. D. Richardson, D. Xie, J. Wang, X. Li, K. Strabala, J. E. Davies, Daily MODIS 500 m reflectance anisotropy direct broadcast (DB)products for monitoring vegetation phenology dynamics , International Journal of Remote Sensing, 34,5997 - 6016, 2013.

Yang,X., A. H. Strahler, C. B. Schaaf, D. L.B. Jupp, T. Yao, F. Zhao, Z. Wang, D. S. Culvenor, G. J. Newnham, J. L. Lovell, R. O. Dubayah, C. E. Woodcock, W. Ni-Meister, Three-dimensional forest reconstruction and structural parameter retrievals using a terrestrial full-waveform lidar instrument (Echidna) , Remote Sensing of Environment, 135, 36-51, 2013.

Grasso,L., D. W. Hillger, C. B. Schaaf, Z. Wang, R. Brummer, R. DeMaria, Use of MODIS 16-day albedos in generating GOES-R advanced baseline imager imagery , Journal of Applied Remote Sensing, 7 (1), 073584, doi: 10.1117/1.JRS.7.073584, 2013.

Román,M. O., C. K. Gatebe, Y. Shuai, Z. Wang, F. Gao, J. Masek, T. He, S. Liang, C. B. Schaaf, Use of In Situ and Airborne Multiangle Data to Assess MODIS- and Landsat-Based Estimates of Directional Reflectance and Albedo , IEEE Transactions on Geoscience and Remote Sensing, 51(3), 1393-1404, 10.1109/TGRS.2013.2243457, 2013.

Yang, Y., A. Marshak, S. Palm, Z. Wang, C. Schaaf, Assessment of Cloud Screening with Apparent Surface Reflectance in Support of the ICESat-2 Mission , IEEE Transactions on Geoscience and Remote Sensing, 51(2), 1037-1045, 10.1109/TGRS.2012.2204066,2013.

Zhang, Q., C. Schaaf,K. C. Seto, The Vegetation Adjusted NTL Urban Index: A new approach to reduce saturation and increase variation in nighttime luminosity, Remote Sensing of Environment, 129, 32-41, 2013.

Hui, F., Cheng, X., Liu, Y., Zhang, Y., Ye, Y., Wang, X., Li, Z., Wang, K., Zhan, Z., Guo, J., Huang, H., Li, X., Guo, Z., & Gong, P. (2013). An Improved Landsat Image Mosaic of Antarctica. Science China Earth Sciences, 56(1), 1–12.




Zhao, F., A. H. Strahler, C. L. Schaaf, T. Yao, X. Yang, Z. Wang, M. A. Schull, M. O. Román, C. E. Woodcock, P. Olofsson, W. Ni-Meister, D. L.B. Jupp, J. L. Lovell, D. S. Culvenor, G. J. Newnham, Measuring gap fraction, element clumping index and LAI in Sierra Forest stands using a full-waveform ground-based lidar, Remote Sensing of Environment, 125, 73-79, 2012.

Cescatti, A., B. Marcolla, S. K. S. Vannan, J. Y. Pan, M. O. Román, X. Yang, P. Ciais, R. B. Cook, B. E. Law, G. Matteucci, M. Migliavacca, E. Moors, A. D. Richardson, G. Seufert, C. B. Schaaf, Intercomparison of MODIS albedo retrievals and in situ measurements across the global FLUXNET network, Remote Sensing of Environment, 121, 323¨C334, 2012.

Chopping, M., M. North, J. Chen, C. B. Schaaf, J. B. Blair, J. V. Martonchik, M. A. Bull, Forest Canopy Cover and Height From MISR in Topographically Complex Southwestern US Landscapes Assessed With High Quality Reference Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5, 44-58, 2012.

He, L., J. M. Chen, J. Pisek, C. B. Schaaf, A. H. Strahler, Global clumping index map derived from the MODIS BRDF product, Remote Sensing of Environment, 119, 118-130, 2012.

Wang, Z., C. B. Schaaf, M. J. Chopping, A. H. Strahler, J. Wang, M. O.Román, A. V. Rocha, C. E. Woodcock,Y. Shuai, Evaluation of Moderate-resolution Imaging Spectroradiometer (MODIS) snow albedo product (MCD43A) over tundra, Remote Sensing of Environment, 117, 264-280, 2012.

Douglas, E.S., Strahler, A., Martel, J., Cook, T., Mendillo, C., Marshall, R., Chakrabarti, S., Schaaf, C., Woodcock, C., Li, Z., Yang, X., Culvenor, D., Jupp, D., Newnham, G., & Lovell, J. (2012). DWEL: A Dual-Wavelength Echidna Lidar for ground-based forest scanning. In  (pp. 4998-5001): IEEE Proceedings, International Geosciences And Remote Sensing Symposium 2012, Munich, Germany, 22-27 July, 2012.

Wang, X., Cheng, X., Li, Z., Huang, H., Niu, Z., Li, X., & Gong, P. (2012). Lake Water Footprint Identification from Time-Series ICESat/GLAS Data. Geoscience and Remote Sensing Letters, IEEE, 9(3), 333–337.




O'Halloran, T., B. Law, M. L. Goulden, Z. Wang, J. Barr, C. Schaaf, M. Brown,J. D. Fuentes, M. Gockede, A. Black, V. Engel, Radiative forcing of natural forest disturbances, Global Change Biology, doi: 10.1111/j.1365-2486.2011.02577.x, 2011.
ScienceDaily Research News:

Jiao, Z., C. Woodcock, C. B. Schaaf, B. Tan, J. Liu, F. Gao, A. Strahler, X. Li, J. Wang, Improving MODIS land cover classification by combining MODIS spectral and angular signatures in a Canadian boreal forest, Canadian Journal of Remote Sensing, 37, 1-20, 2011.

Hill, M. J., M. O. Román, C. B. Schaaf, Dynamics of vegetation indices in tropical and subtropical savannas defined by ecoregions and Moderate Resolution Imaging Spectroradiometer(MODIS) land cover, Geocarto International, 1-39, DOI:10.1080/10106049.2011.626529.

Shuai, Y., J. G. Masek, F. Gao, C. B. Schaaf, An algorithm for the retrieval of 30-m snow-free albedo from Landsat surface reflectance and MODIS BRDF, Remote Sensing of Environment, 115, 2204-2216, 2011.

Yao, T., X. Yang, F. Zhao, Z. Wang, Q. Zhang, D. Jupp, J. Lovell, D. Culvenor, G.Newnham, W.Ni-Meister,C. B. Schaaf,C. Woodcock, J. Wang, X. Li, A. H. Strahler, Measuring forest structure and biomass in New England forest stands using Echidna ground-based lidar, Remote Sensing of Environment, 115, 2965¨C2974, 2011.

Román,M. O., C. K. Gatebe, C. B. Schaaf, R. Poudyal, Z. Wang, M. D. King, Variability in surface BRDF at different spatial scales (30 m - 500 m) over a mixed agricultural landscape as retrieved from airborne and satellite spectral measurements , Remote Sensing of Environment, 115, 2184-2203, 2011.

Chopping, M., C. B. Schaaf, F. Zhao, Z. Wang, A. W. Nolin,G. G. Moisen,J. V. Martonchik, M. Bull, Forest structure and aboveground biomass in the southwestern United States from MODIS and MISR, Remote Sensing of Environment,115,2943¨C2953, 2011.

Hill, M., M. O. Román, C. B. Schaaf,L. Hutley, C. Brannstrom, Characterizing vegetation cover in global savannas with an annual foliage clumping index derived from the MODIS BRDF product , Remote Sensing of Environment,115,2008-2024, 2011.

Zhao, F., X. Yang, M. A. Schull, M. O. Román,T. Yao, Z. Wang, Q. Zhang, D. L. B. Jupp, J. L. Lovell, D. S. Culvenor, G. J. Newnham, A. D. Richardson, W. Ni-Meister, C. L. Schaaf, C. E. Woodcock, and A. H. Strahler Measuring effective leaf area index, foliage profile, and stand height in New England forest stands using a full-waveform ground-based lidar ,Remote Sensing of Environment,115,2954¨C2964, 2011.

Wang, Z., C. B. Schaaf, P. Lewis,Y. Knyazikhin, M. A. Schull, A. H. Strahler, T. Yao, R. B. Myneni, M. J. Chopping and J. B. Blair, Retrieval of canopy height using moderate-resolution imaging spectroradiometer (MODIS) data, Remote Sensing of Environment, 115, 1595-1601, 2011.

Schaaf, C. B., Z. Wang and A. H. Strahler, Commentary on Wang and Zender-MODIS snow albedo bias at high solar zenith angles relative to theory and to in situ observations in Greenland, Remote Sensing of Environment, 115, 1296-1300, 2011.

Hill, Michael J., R. O. Miguel and C. B. Schaaf, Biogeography and Dynamics of Global Savannas: A Spatio-Temporal View, In Hill, Michael J. and Hanan, Niall P. eds. Ecosystem Function in Savannas: Measurement and Modeling at Landscape to Global Scales. (CRC Press, Boca Raton, Florida) pp 3 - 37, 2011.

Schaaf, C. L. B., J. Liu, F. Gao and A. H. Strahler, MODIS Albedo and Reflectance Anisotropy Products from Aqua and Terra, In Land Remote Sensing and Global Environmental Change: NASA's Earth Observing System and the Science of ASTER and MODIS, Remote Sensing and Digital Image Processing Series, Vol.11, B. Ramachandran, C. Justice, M. Abrams, Eds, Springer-Cerlag, 873 pp., 2011.

Gong, P., Li, Z., Huang, H., Sun, G., & Wang, L. (2011). ICESat GLAS Data for Urban Environment Monitoring. Geoscience and Remote Sensing, IEEE Transactions on, 49(3), 1158–1172.

Huang, H., Li, Z., Gong, P., Cheng, X., Clinton, N., Cao, C., Ni, W., & Wang, L. (2011). Automated Methods for Measuring DBH and Tree Heights with a Commercial Scanning Lidar. Photogrammetric Engineering & Remote Sensing, 77(3), 219–227.

Wang, X., Cheng, X., Gong, P., Huang, H., Li, Z., & Li, X. (2011). Earth Science Applications of ICESat/GLAS: A Review. International Journal of Remote Sensing, 32(23), 8837–8864.



Ni-Meister,W.,S. Lee, A. H. Strahler, C. E. Woodcock, C. B. Schaaf, T. Yao, K.J. Ranson, G. Sun, and J.B. Blair Assessing general relationships between aboveground biomass and vegetation structure parameters for improved carbon estimate from lidar remote sensing,Journal of Geophysical Research, 115, G00E11, doi:10.1029/2009JG000936, 2010.

Lyapustin, A.,C. K. Gatebe, R. Kahn, R. Brandt,J. Redemann, P. Russell, M. D. King, C. A. Pedersen, S. Gerland, R. Poudyal, A. Marshak, Y. Wang, C. B. Schaaf, D. Hall, and A. Kokhanovsky, Analysis of snow bidirectional reflectance from ARCTAS Spring-2008 Campaign, Atmospheric Chemistry and Physics, 10, 4359-4375, 2010.

Wang, K., S. Liang, C. B. Schaaf, and A. H. Strahler Evaluation of Moderate Resolution Imaging Spectroradiometer land surface visible and shortwave albedo products at FLUXNET sites, Journal of Geophysical Research, 115, D17107, doi:10.1029/2009JD013101, 2010.

Wang, Y.,A. Lyapustin, J. L. Privette, R. B. Cook, S.K. SanthanaVannan, E. F. Vermote, C.B. Schaaf,Assessment of biases in MODIS surface reflectance due to Lambertian approximation, Remote Sensing of Environment, 114,2791-2801, 2010.

Román, M. O., C. B. Schaaf, P. Lewis, F. Gao, G. P. Anderson, J. L. Privette, A. H. Strahler, C. E. Woodcock, M. Barnsley, Assessing the coupling between surface albedo derived from MODIS and the fraction of diffuse skylight over spatially-characterized landscapes, Remote Sensing of Environment, 114, 738-760, 2010.

Ju, J.,D. Roy, Y. Shuai, C. Schaaf, Development of an approach for generation of temporally complete daily nadir MODIS reflectance time series,Remote Sensing of Environment, 114, 1-20, 2010.

Gong, P., Niu, Z., Cheng, X., Zhao, K., Zhou, D., Guo, J., Liang, L., Wang, X., Li, D., Huang, H., Wang, Y., Wang, K., Li, W., Wang, X., Ying, Q., Yang, Z., Ye, Y., Li, Z., Zhuang, D., Chi, Y., Zhou, H., & Yan, J. (2010). China’s Wetland Change (1990–2000) Determined by Remote Sensing. Science China Earth Sciences, 53(7), 1036–1042.

Professor Crystal Schaaf’s Lab

School for the Environment
University of Massachusetts Boston
100 Morrissey Blvd.
Boston, MA 02125