UMass Boston

2023

Sánchez-Zapero, J., Martínez-Sánchez, E., Camacho, F., Wang, Z., Carrer, D., Schaaf, C., García-Haro, F. J., Nickeson, J., & Cosh, M. (2023). Surface ALbedo VALidation (SALVAL) Platform: Towards CEOS LPV Validation Stage 4—Application to Three Global Albedo Climate Data Records. Remote Sensing, 15(4), Article 4. https://doi.org/10.3390/rs15041081

2022

Erb, A.M., Li, Z., Sun, Q., Paynter, I., Wang, Z., Schaaf, C. (2022). Evaluation of the Landsat-8 Albedo Product across the Circumpolar Domain. Remote Sensing, 14(21), 5320. https://doi.org/10.3390/rs14215320

Chopping, M., Wang, Z., Schaaf, C., Bull, M. A., & Duchesne, R. R. (2022). Forest aboveground biomass in the southwestern United States from a MISR multi-angle index, 2000–2015. Remote Sensing of Environment, 275, 112964. https://doi.org/10.1016/j.rse.2022.112964

Wulder, M.A., D.P. Roy, V.C. Radeloff; T.R. Loveland, M.C. Anderson, D.M. Johnson, S. Healey, Z. Zhu, T.A. Scambos, N. Pahlevan, M. Hansen, N. Gorelick, C.J. Crawford, J.G. Masek, T. Hermosilla, J.C. White, A.S. Belward, C. Schaaf, C. Woodcock, J.L. Huntington, L. Lymburner, P. Hostert, F. Gao, A. Lyapustin, J-F. Pekel, P. Strobl, and B.C. Cook. (2022). Fifty years of Landsat science and impacts. Remote Sensing of Environment. 280: 113195.  https://doi.org/10.1016/j.rse.2022.113195

2021

Kim, J., Kim, Y., Zona, D., Oechel, W., Park, S.-J., Lee, B.-Y., Yi, Y., Erb, A., & Schaaf, C. L. 2021. Carbon response of tundra ecosystems to advancing greenup and snowmelt in Alaska. Nature Communications, 12(1), 6879.https://doi.org/10.1038/s41467-021-26876-7

Liu, Y., McDonough MacKenzie, C., Primack, R. B., Hill, M. J., Zhang, X., Wang, Z., & Schaaf, C. B. (2021). Using remote sensing to monitor the spring phenology of Acadia National Park across elevational gradients. Ecosphere, 12(12), e03888. https://doi.org/10.1002/ecs2.3888

Yan, K.,  Li, H., Song, W., Tong, Y., Hao, D.,  Zeng, Y., Mu, X., Yan, G., Fang, Y., Myneni, R. B., Schaaf, C., 2021. "Extending a Linear Kernel-Driven BRDF Model to Realistically Simulate Reflectance Anisotropy Over Rugged Terrain", in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2021.3064018.

Rouhani, S., Schaaf, C., Huntington, T., Choate, J. 2021 Simulation of Dissolved Organic Carbon Flux in the Penobscot Watershed, Maine. Ecohydrology & Hydrobiology. https://doi.org/10.1016/j.ecohyd.2021.02.005.

Pisek J., Arndt S.K., Erb A., Pendall E., Schaaf C., Wardlaw T.J., Woodgate W., and Knyazikhin Y. 2021 Exploring the Potential of DSCOVR EPIC Data to Retrieve Clumping Index in Australian Terrestrial Ecosystem Research Network Observing Sites. Front. Remote Sens. 2:652436. doi: 10.3389/frsen.2021.652436

Elmes, A.,  Levy, C., Erb, A., Hall, D., Scambos, T., DiGirolamo, N., and Schaaf, C., 2021. Consequences of the 2019 Greenland Ice Sheet Melt Episode on Albedo. Remote Sensing, 13(2). https://doi.org/10.3390/rs13020227

Pisek, J., Erb, A., Korhonen, L., Biermann, T., Carrara, A., Cremonese, E., Cuntz, M., Fares, S., Gerosa, G., Grunwald, T., Hase, N., Heliasz, M., Ibrom, A., Knohl, A., Kobler, J., Kruijt, B., Lange, H., Leppanen, L., Limousin, J.-M., Serrano, F. R. L., Loustau, D., Lukevs, P., Lundin, L., Marzuoli, R., Molder, M., Montagnani, L., Neirynck, J., Peichl, M., Rebmann, C., Rubio, E., Santos-Reis, M., Schaaf, C., Schmidt, M., Simioni, G., Soudani, K., Vincke, C. 2021. Retrieval, validation of forest background reflectivity from daily Moderate Resolution Imaging Spectroradiometer (MODIS) bidirectional reflectance distribution function (BRDF) data across European forests. Biogeosciences, 18(2). 621-635. https://bg.copernicus.org/articles/18/621/2021/

Peter B Boucher, Ian Paynter, David A Orwig, Ilan Valencius, Crystal Schaaf, Sampling forests with Terrestrial Laser Scanning, Annals of Botany, 2021;https://doi.org/10.1093/aob/mcab073

Duncanson, L., Armston, J., Disney, M. I. et al. (2021) Aboveground Woody Biomass Product Validation Good Practices Protocol. Version 1.0. In L. Duncanson, M. Disney, J. Armston, J. Nickeson, D. Minor, and F. Camacho (Eds.), Good Practices for Satellite Derived Land Product Validation,(p. 236): Land Product Validation Subgroup (WGCV/CEOS), https://doi.org/10.5067/doc/ceoswgcv/lpv/agb.001