Publications | GEOG | Geographical Sciences Department | University of Maryland

Forkuor, G., Zoungrana, J.B.B., Dimobe, K., Ouattara, B., Vadrevu, K.P. and Tondoh, J.E., 2020. Above-ground biomass mapping in West African dryland forest using Sentinel-1 and 2 datasets-A case study. Remote Sensing of Environment, 236, p.111496.
He, J., & Eastman, J. R. (2020). A Sequential Autoencoder for Teleconnection Analysis. Remote Sensing, 12(5), 851. doi:10.3390/rs12050851 remotesensing-12-00851_0.pdf8.01 MB
Huang, Y., Z. Tian, Q. Ke, J. Liu, M. Irannezhad, D. Fan, M. Hou, L. Sun. 2020. “Nature-Based Solutions for Urban Pluvial Flood Risk Management.” WIREs Water (2018 IF: 4.436), 7(3), Cover Paper, e1421, pp. 1-17. WIREsWater cover May 2020.pdf17.6 MB
Li, Y., Zhang, N., Li, R.K., Liu, C.Y., Shen, J. and Jing, Y.C., 2020. Soil mapping based on assessment of environmental similarity and selection of calculating samples. CATENA, 188, p.104379.
Buckley, E. M., Farrell, S. L., Duncan, K., Connor, L. N., Kuhn, J. M., & Dominguez, R. T. ( 2020). Classification of Sea Ice Summer Melt Features in High‐resolution IceBridge Imagery. JGR, 125, e2019JC015738. https://doi.org/10.1029/2019JC015738 2019JC015738.pdf2.3 MB
Li, Y., Shetty, A.C., Lon, C., Spring, M., Saunders, D.L., Fukuda, M.M., Hien, T.T., Pukrittayakamee, S., Fairhurst, R.M., Dondorp, A.M. and Plowe, C.V., 2020. Detecting geospatial patterns of Plasmodium falciparum parasite migration in Cambodia using optimized estimated effective migration surfaces. International Journal of Health Geographics, 19(1), pp.1-11.
Liu, X., Z. Tian, L. Sun, J. Liu, W. Wu, H. Xu, L. Sun, C. Wang. 2020. “Mitigating Heat-Related Mortality Risk in Shanghai, China: System Dynamics Modeling Simulations.” Environmental Geochemistry and Health (2019 IF: 3.472), Open-access on 29 April 2020.https://doi.org/10.1007/s10653-020-00556-9. Mitigating Heat-Related Mortality Risk in Shanghai, China System Dynamics Modeling Simulations_Environ Geochem Health2020.pdf1.17 MB
Oshan, T.M., Smith, J.P. & Fotheringham, A.S. Targeting the spatial context of obesity determinants via multiscale geographically weighted regression. Int J Health Geogr 19, 11 (2020). https://doi.org/10.1186/s12942-020-00204-6
Pickens, A.H., Hansen, M.C., Hancher, M., Stehman, S.V., Tyukavina, A., Potapov, P., Marroquin, B., Sherani, Z., 2020. Mapping and sampling to characterize global inland water dynamics from 1999 to 2018 with full Landsat time-series. Remote Sensing of Environment 243, 111792. https://doi.org/10.1016/j.rse.2020.111792 globalWaterPickens.pdf3.84 MB
Stubbs, Q., Yeo, I.-Y., Lang, M., Townshend, J., Sun, L., Prestegaard, K., Jantz, C., 2020. Assessment of wetland change on the Delmarva Peninsula from 1984 to 2010. Journal of Coastal Research (IF = 1.053), vol. 36, no. 3, pp. 575–589.DOI: 10.2112/JCOASTRES-D-16-00038.1.
Teodoro, J.D. and Nairn, B. (2020). Understanding the knowledge and data landscape of climate change impacts and adaptation in the Chesapeake Bay region: A systematic review. Climate. 8(4), 58.
Tian, Z., H. Xu, L. Sun, D. Fan, G. Fischer, H. Zhong, P. Zhang, E. Pope, C. Kent, W. Wu. 2020. “Using a cross-scale simulation tool to assess future maize production under multiple climate change scenarios: An application to the Northeast Farming Region of China.” Climate Services. Vol. 18, article no. 100150, pp. 1-9. https://doi.org/10.1016/j.cliser.2020.100150. Using a cross-scale simulation tool to assess future maize production under multiple climate change scenarios in Northeast China_ClimateServices2020.pdf1.91 MB
Fan, D., H. Zhong, B. Hu, Z. Tian, L. Sun, G. Fischer, X. Wang, Z. Jiang. 2020. “Agro-Ecological Suitability Assessment of Chinese Medicinal Yam under Future Climate Change.” Environmental Geochemistry and Health (2019 IF: 3.472). 42 (3), 987-1000,Open-access publication on 15 Oct 2019. https://doi.org/10.1007/s10653-019-00437-w. Agro-Ecological Suitability Assessment of Chinese Medicinal Yam under Future Climate Change_EGH2020.pdf1.88 MB
Gao, C., Zhang, M., Song, K., Wei, Y., Zhang, S. 2020. Spatiotemporal analysis of anthropogenic phosphorus fluxes in China. Sci. Tot. Environ. DOI:https://doi.org/10.1016/j.scitotenv.2020.137588
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Li, Z., Fotheringham, A. S., Oshan, T. M., & Wolf, L. J. (2020). Measuring Bandwidth Uncertainty in Multiscale Geographically Weighted Regression Using Akaike Weights. The Annals of the American Association of Geographers.https://doi.org/10.1080/24694452.2019.1704680
Liang, M.; Pause, M.; Prechtel, N.; Schramm, M. Regionalization of Coarse Scale Soil Moisture Products Using Fine-Scale Vegetation Indices—Prospects and Case Study. Remote Sens. 2020, 12, 551. remotesensing-12-00551.pdf1.99 MB
Peredo, J., Wayman, C., Whong, B., Thieme, A., Kline, L. R., Yadav, S., ... & Fitz, J. (2020). Utilizing Landsat and SENTINEL-2 to Remotely Monitor and Evaluate the Performance of Winter Cover Crops Throughout Maryland. The International Archives ofPhotogrammetry, Remote Sensing and Spatial Information Sciences, 42, 125-130. UTILIZING_LANDSAT_AND_SENTINEL-2_TO_REMOTELY_MONIT.pdf886.67 KB
Younes, H., et al., Comparing the Temporal Determinants of Dockless Scooter-share and Station-based Bike-share in Washington, D.C. Transportation Research Part A: Policy and Practice, 2020. 134: p. 308-320. 1-s2.0-S0965856419311553-main_0.pdf838.2 KB
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.
He J, Loboda TV, Jenkins L, Chen D. (2020). ABoVE: Distribution Maps of Wildland Fire Fuel Components across Alaskan Tundra, 2015. ORNL DAAC, Oak Ridge, Tennessee, USA.
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
Peter Potapov, Matthew C Hansen, Indrani Kommareddy, Anil Kommareddy, Svetlana Turubanova, Amy Pickens, Bernard Adusei, Alexandra Tyukavina, Qing Ying, 2020. Landsat Analysis Ready Data for Global Land Cover and Land Cover Change Mapping. Remote Sensing12(3)