Publications | GEOG | Geographical Sciences Department | University of Maryland

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.
Vadrevu, K., Heinimann, A., Gutman, G. and Justice, C., 2019. Remote sensing of land use/cover changes in South and Southeast Asian Countries. Special Issue. International Journal of Digital Earth. https://doi.org/10.1080/17538947.2019.1654274
Vadrevu, K.P., Dadhwal, V.K., Gutman, G. and Justice, C., 2019. Remote sensing of agriculture–South/Southeast Asia research initiative special issue. International Journal of Remote Sensing. https://doi.org/10.1080/01431161.2019.1617507
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., Liang, S., 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.
Kang, W., T. Oshan, L. J. Wolf, G. Boeing, A. Poorthuis, S. Gao, W. Xu, V. Frias-Martinez (2019). “A Roundtable Discussion: Defining Urban Data Science”, Environment and Planning, B: Urban Analytics and City Science 6(9): 1756–1768
Li Wang, Wensheng Duan, Bo Yu, Qing Ying, Hanbing Yang, Yahui Lei, 2019. Exploring the Response Mechanism of Remote Sensing Images in Monitoring Fixed Assets Investment Project in Terms of Building Detection. IEEE Access 7:167919 - 167929
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
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.
Tang, H., Armston, J., Hancock, S., Marselis, S., Goetz, S., Dubayah, R. (2019) Characterizing global forest canopy cover distribution using spaceborne lidar. Remote Sensing of Environment 231
Teodoro, J.D., O’Leary, D.S., Kerr, S.E. et al. (2019). The relevance of case studies in climate change research: a review of policy recommendations. SN Applied Sciences. 1: 1197.https://doi.org/10.1007/s42452-019-1221-x
Vadrevu, K.P., Lasko, K., Giglio, L., Schroeder, W., Biswas, S. and Justice, C., 2019. Trends in vegetation fires in south and southeast Asian countries. Scientific reports, 9(1), pp.1-13.
Vogt-Schilb, A., Walsh, B., Feng, K.*, Di Capua, L., Liu, Y., Zuluaga, D., Robles, M., Hubacek, K., (2019), Cash transfer for pro-poor carbon taxes in Latin America and the Caribbean, Nature Sustainability 2, pp941-948.
Ying, Q., M. C. Hansen, L. Sun, L. Wang, M. Steininger. 2019. “Satellite-detected gain in built-up area as a leading economic indicator.” Environmental Research Letters (2018 IF: 6.192). vol. 14, article no. 114015.https://doi.org/10.1088/1748-9326/ab443e. Satellite-detected gain in built-up area as a leading economic indicator_EnvResearchLetters2019.pdf1.05 MB
Zhang, W., Liu, M., Hubacek, K., Feng, K., Wu, W., Liu, Y., Jiang, H., Bi, J., Wang, J., (2019) Virtual flows of aquatic heavy metal emissions and associated risk in China, Journal of Environmental Management 249, pp 109400.