Publications | GEOG | Geographical Sciences Department | University of Maryland

Van Dyke, Fred and Lamb, Rachel. (2020). Conservation biology: Foundations, concepts, applications (3rd ed.). Dordrecht: Springer Publishing Company. https://www.springer.com/gp/book/9783030395322
Chen, S., Chen, C., Feng, K., Liu, Z., Fromer, N., Weisz, H., Schellnhuber, H., Hubacek, K., (2020), Physical and virtual carbon metabolism of global cities, Nature Communications 11, 182.
Chen, S., Long, H., Chen, B., Feng, K., Hubacek, K., (2020), Urban carbon footprints across scale: Important considerations for choosing system boundaries, Applied Energy 259, 114201.
Jia, A., Liang, S., Wang, D., Jiang, B., & Zhang, X. (2020). Air pollution slows down surface warming over the Tibetan Plateau. Atmos. Chem. Phys., 20(2), 881-899. doi:10.5194/acp-20-881-2020
Meredith G. L. Brown, Sergii Skakun, Tao He, and Shunlin Liang. Intercomparison of machine-learning methods for estimating surface shortwave and photosynthetically active radiation.Remote Sensing, 12(3):372,2020 remotesensing-12-00372.pdf793.33 KB
Wang, D., Liang, S., Zhang, Y., Gao, X., Brown, M. G., & Jia, A. (2020). A New Set of MODIS Land Products (MCD18): Downward Shortwave Radiation and Photosynthetically Active Radiation. Remote Sensing, 12(1), 168.
Becker-Reshef, I; Barker, B.; Humber, M.; Puricelli, E.; Sanchez, A.; Sahajpal, R.; McGaughey, K.; Justice, C.; Baruth, B.; Bingfang, W.; Prakash, A.; Abdolreza, A.; Jarvis, I., “The GEOGLAM Crop Monitor for AMIS: Assessing Crop Conditions in the Context of Global Markets,” Global Food Security, vol. 23, pp. 173-181, Dec. 2019.
Liu, X., Pei, S., Wang, S., Wen, Y., Li, X., Wu, J., Chen, J., Feng, K., Liu, J., Hubacek, K., Davis, S., Yu, L., Liu, Z., Wu, C., Cai, Y., Yuan, W., (2019), Global urban expansion offsets climate-driven increases in terrestrial net primary productivity,
Chen, D., Loboda, T.V., & Hall, J.V. (2020). A systematic evaluation of influence of image selection process on remote sensing-based burn severity indices in North American boreal forest and tundra ecosystems. Isprs Journal of Photogrammetry and Remote Sensing, 159, 63-77 https://doi.org/10.1016/j.isprsjprs.2019.11.011
He, T., Zhang, Y., Liang, S., Yu, Y., & Wang, D. (2019). Developing Land Surface Directional Reflectance and Albedo Products from Geostationary GOES-R and Himawari Data: Theoretical Basis, Operational Implementation, and Validation. Remote Sensing, 11, 2655, https://www.mdpi.com/2072-4292/11/22/2655
Lin, J.*, Du, M., Chen, L., Liu, Y., Feng, K.*, Martin, R., Wang, J., Ni, R., Zhao, Y., Kong, H., Weng, H., Liu, M., van Donkelaar, A., Liu, Q., Hubacek, K., (2019), Carbon and health implications of trade restrictions, Nature Communications 10: 4947 .
Skakun S., Justice C., Kussul N., Shelestov A., Lavreniuk M. (2019) Satellite Data Reveal Cropland Losses in South-Eastern Ukraine Under Military Conflict. Frontiers in Earth Science, 7:305.
Zhang, C., Ma, L., Chen, J., Rao, Y., Zhou, Y., & Chen, X. (2019). Assessing the impact of endmember variability on linear Spectral Mixture Analysis (LSMA): A theoretical and simulation analysis. Remote Sensing of Environment, 235, 111471doi:https://doi.org/10.1016/j.rse.2019.111471
Zhang, Y., Liang, S., & Yang, L. (2019). A Review of Regional and Global Gridded Forest Biomass Datasets. Remote Sensing, 11, 2744, https://www.mdpi.com/2072-4292/11/23/2744/htm
Becker-Reshef, I; Justice, C.; Barker, B.; Humber, M.; Whitcraft, A.; Nakalembe, C.; Rembold, F; Bonifacio, R.; Zappacosta, M; Budde, M.; Magadzire, T.; Shitote, C.; Pound J.; Constantino, A.; Mwangi, K.; Soube, S.; Newby, T.; Jarvis, I.; Verdin, J.“Strengthening agricultural decisions in countries at risk of food insecurity: The GEOGLAM Crop Monitor for Early Warning,” Remote Sensing of Environment. In Press.
Boschetti, L.; Roy, D.P.; Giglio, L.; Huang, H.; Zubkova, M.; Humber, M.L., “Global validation of the Collection 6 MODIS burned area product,” Remote Sensing of Environment. In Press.
Chen, W., Lei, Y.*, Feng, K.*, Wu, S., Li, L., (2019), Provincial emission accounting for CO2 mitigation in China: Insights from production, consumption and income perspectives, Applied Energy 255, 113754.
Gao, X. Y., Liang, S. L., He, B. (2019). Detected global agricultural greening from satellite data, Agricultural and Forest Meteorology https://doi.org/10.1016/j.agrformet.2019.107652
Humber, M.L.; Boschetti, L.; Giglio, L., “Assessing the shape accuracy of coarse resolution burned area identifications in the western United States,” IEEE Transactions on Geoscience and Remote Sensing. In Press.
Rao, Y., Liang, S., Wang, D., Yu, Y., Song, Z., Zhou, Y., Shen, M., Xu, B. (2019). Estimating daily average surface air temperature using satellite land surface temperature and top-of-atmosphere radiation products over the Tibetan Plateau. Remote Sensing of Environment. DOI:10.1016/j.rse.2019.111462
Fan, D., H. Zhong, B. Hu, Z. Tian, L. Sun, G. Fischer, X. Wang, Z. Jiang. 2019. “Agro-Ecological Suitability Assessment of Chinese Medicinal Yam under Future Climate Change.” Environmental Geochemistry and Health (2018 IF: 3.252), in press.
Hoffman-Hall, A., Loboda, T. V., Hall, J. V., Carroll, M. L., & Chen, D. (2019). Mapping remote rural settlements at 30 m spatial resolution using geospatial data-fusion. Remote Sensing of Environment, 233, 111386.
Hu, H., Z. Tian, L. Sun, J. Wen, Z. Liang, G. Dong, J. Liu. 2019. “Synthesized trade-off analysis of flood control solutions under future deep uncertainty: An application to the central business district of Shanghai.” Water Research (2018 IF: 7.913; 5 yr IF: 8.424), vol. 166, article no. 115067. https://doi.org/10.1016/j.watres.2019.115067. Synthesized trade-off analysis of flood control solutions under future deep uncertainty_WaterResearch_Sep2019.pdf2.42 MB
Marselis, SM, Tang, H, Armston, J, Abernethy, K, Alonso, A, Barbier, N, Bissiengou, P, Jeffery, K, Kenfack, D, Labriere, N, Lee, SK, Lewis, SL, Memiaghe, H, Poulsen, JR, White, L, Dubayah, R (2019) Exploring the relation between remotely sensed verticalcanopy structure and tree species diversity in Gabon. Environmental Research Letters 14: 094013
Song, K., Qu, S., Taiebat, M., Liang, S., Xu, M. (2019). Scale, distribution and variations of global greenhouse gas emissions driven by U.S. households. Environment International, 133, 105137.