Publications | GEOG | Geographical Sciences Department | University of Maryland

Hurtt, G.C., M. Zhao, R. Sahajpal, A. Armstrong, R. Birdsey, E. Campbell, K. Dolan, R.O. Dubayah, J.P. Fisk, S. Flanagan, C. Huang, W. Huang, K. Johnson, R. Lamb, L. Ma, R. Marks, D. O'Leary III, J. O'Neil-Dunne, A. Swatantran, and H. Tang. (2019).“Forest Aboveground Biomass and Carbon Sequestration Potential for Maryland, USA.” ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1660
Notaro, M., Emmett, K., and O’Leary, D. (2019). Spatio-Temporal Variability in Remotely Sensed Vegetation Greenness Across Yellowstone National Park. Remote Sensing 11, 798. https://doi:10.3390/rs11070798
Santamaria-Artigas, A., B. Franch, P. Guillevic, J.-C. Roger, E. F. Vermote, and S. Skakun (2019). “Evaluation of Near-Surface Air Temperature From Reanalysis Over the United States and Ukraine: Application to Winter Wheat Yield Forecasting”.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, pp. 1–10.DOI:10.1109/JSTARS.2019.2902479. URL:https://ieeexplore.ieee.org/document/8672472/
Villaescusa-Nadal, J. L., Franch, B., Roger, J. C., Vermote, E. F., Skakun, S., & Justice, C. (2019). Spectral Adjustment Model's Analysis and Application to Remote Sensing Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(3), 961 - 972.
Villaescusa-Nadal, J. L., Franch, B., Vermote, E. F., & Roger, J.-C. (2019). Improving the AVHRR Long Term Data Record BRDF Correction. Remote Sensing, 11(5), 502. remotesensing-11-00502.pdf2.34 MB
Wang, J., Ni, R., Lin, J., Tan, X., Tong, D., Zhao, H., Zhang, Q., Lu, Z., Streets, D., Pan, D., Huang, Y., Guan, D., Feng, K., Yan, Y., Hu, Y., Liu, M., Chen, L., Liu, P., (2019), Socioeconomic and Atmospheric Factors Affecting Aerosol Radiative Forcing:Production-based versus Consumption-based Perspective, Atmospheric Environment 200, pp197-207.
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Cooper, M., Di Minin, E., Haussman, A., Qin, S., Schwartz, A., Correia, R., (2019) Using Multiple Internet Data Streams Is Necessary To Measure Public Engagement With Biodiversity. Biological Conservation, 230, 29-36. 2019 Cooper - Developing a global indicator for Aichi Target 1 by merging online data sources to measure biodiversity awareness and engagement.pdf2.37 MB
Hess, K., Cullen, C., Cobian-Iñiguez, J., Ramthun, J., Lenske, V., Magness, D., … Spruce, J. (2019). Satellite-Based Assessment of Grassland Conversion and Related Fire Disturbance in the Kenai Peninsula, Alaska. Remote Sensing, 11(3), 283.
Lamb, Rachel, Ben Lowe and Kyle Meyaard-Schaap. 2019. “Renewing evangelical engagement on climate change: the birth and growth of Young Evangelicals for Climate Action.” Perspectives on Science and Christian Faith 70(1). https://www.asa3.org/ASA/PSCF/2019/PSCF3-19Lamb.pdf
Munoz Castillo, R., K. Feng, L. Sun, J. Guilhoto, S. Pfister, F. Miralles-Wilhelm, K. Hubacek. 2019. “The land-water nexus of biofuel production in Brazil: analysis of synergies and trade-offs using a multiregional input-output model.” Journal of Cleaner Production (2017 IF: 5.651, 5-yr IF: 6.352), vol. 214, pp. 52-61.
Potapov, P., Siddiqui, B.N., Iqbal, Z., Aziz, T., Zzaman, B., Islam, A., Pickens, A., Talero, Y., Tyukavina, A., Turubanova, S., Hansen, M.C. (2017) Comprehensive monitoring of Bangladesh tree cover inside and outside of forests, 2000–2014. Environmental Research Letters, 12, 104015.
Xu, H., Z. Tian, X. He, J. Wang, L. Sun, G. Fischer, D. Fan, H. Zhong, W. Wu, E. Pope, C. Kent, J. Liu. 2019. Future increases in irrigation water requirement challenge the water-food nexus in the Northeast Farming Region of China.Agricultural Water Management (2017 IF: 3.182; 5-yr IF: 3.565), Vol. 213, pp. 594-604. https://doi.org/10.1016/j.agwat.2018.10.045.
Zhao, D., K. Hubacek, K. Feng, L. Sun, J. Liu. 2019. “Explaining the virtual water trade: A spatial-temporal analysis of the comparative advantage of land, labor and water in China.” Water Research (2017 IF: 7.051; 5 yr IF: 7.621), Vol. 153, pp. 304-314. Explaining virtual water trade A spatial-temporal analysis of the comparative advantage of land, labor and water in China_WaterResearch2019.pdf2.65 MB
Zhong, H., L. Sun, G. Fischer, Z. Tian, Z. Liang. 2019. “Optimizing regional cropping systems with a dynamic adaptation strategy for water sustainable agriculture in the Hebei Plain.” Agricultural Systems (2017 IF: 3.004, 5-yr IF: 3.756), 173, 94-106.https://doi.org/10.1016/j.agsy.2019.02.005
Cooper, Matthew W., et al. "Developing a global indicator for Aichi Target 1 by merging online data sources to measure biodiversity awareness and engagement." Biological conservation 230 (2019): 29-36.
Wang, S., C. Fang, L. Sun, Y. Su, X. Chen, C. Zhou, K. Feng, and K. Hubacek. 2019. “Decarbonizing China’s Urban Agglomerations.” Annals of the American Association of Geographers (2017 IF: 2.799), Vol. 109, Issue. 1, pp. 266-285.DOI: 10.1080/24694452.2018.1484683.
Zalles, V., Hansen, M. C., Potapov, P. V., Stehman, S. V., Tyukavina, A., Pickens, A., ... & John, N. (2019). Near doubling of Brazil’s intensive row crop area since 2000. Proceedings of the National Academy of Sciences, 116(2), 428-435.https://doi.org/10.1073/pnas.1810301115
Claverie, M., Ju, J., Masek, J. G., Dungan, J. L., Vermote, E. F., Roger, J.-C., Skakun, S. V., & Justice, C. (2018). The Harmonized Landsat and Sentinel-2 surface reflectance data set. Remote Sensing of Environment, 219, 145-161.
Merz, J., V. Bandaru, Q. Hart, N. C. Parker, and B.M. Jenkins. 2018. Hybrid Poplar based Biorefinery Siting Web Application (HP-BiSWA): An online decision support application for siting hybrid poplar based biorefineries. Computers and Electronics in Agriculture. 155: 76-83
Berndtson, R. and L. Makanyama. 2018. "Online Learning for Geography Undergraduates: Student Perceptions and Motivations." The Geography Teacher 15:4, 145-155,
Bunn, A. G., Salzer, M. W., Anchukaitis, K. J., Bruening, J. M., & Hughes, M. K. (2018). Spatiotemporal variability in the climate growth response of high elevation bristlecone pine in the White Mountains of California. Geophysical Research Letters. https://doi.org/10.1029/2018GL080981 Bunn et al 2018 GRL.pdf1.52 MB
Cooper, M., Zvoleff, A, Gonzalez-Roglich, M., Tusiime, F., Musumba, M., Noon, M., Alele, P., Nyiratuza, M., (2018) Geographic Factors Predict Wild Food and Nonfood NTFP Collection by Households Across Four African Countries. Forest Policy and Economics, 9 2018 Cooper - Geographic factors predict wild food and nonfood NTFP collection by households across four African countries.pdf775.68 KB
Gao, C., Zhang, S., Song, K., Na, H., Tian, F., Zhang, M., & Gao, W. (2018). Conjoint analysis of nitrogen, phosphorus and sulfur metabolism: A case study of Liaoning Province, China. Ecological Modelling, 390, 70-78.
Jiang, B., Liang, S., Jia, A., Xu, J., Zhang, X., Xiao, Z., ... & Yao, Y. (2018). Validation of the Surface Daytime Net Radiation Product From Version 4.0 GLASS Product Suite. IEEE Geoscience and Remote Sensing Letters. DOI: 10.1109/LGRS.2018.2877625Print ISSN: 1545-598X