Publications | GEOG | Geographical Sciences Department | University of Maryland

Smith, M.A., Chen, Y., Berndtson, R., Burson, K., and W. Griffin. (2017). “Office Hours are Kind of Weird”: Reclaiming a Resource to Foster Student-Faculty Interaction. Insight: A Journal of Scholarly Teaching (12): 14-29.
Song, X.P., Potapov, P.V., Krylov, A., King, L., Di Bella, C.M., Hudson, A., Khan, A., Adusei, B., Stehman, S.V. and Hansen, M.C., 2017. National-scale soybean mapping and area estimation in the United States using medium resolution satellite imagery and
Stewart, K., Cao, Y., Hsu, M. H., Artigiani, E., & Wish, E. (2017). Geospatial Analysis of Drug Poisoning Deaths Involving Heroin in the USA, 2000-2014. Journal of Urban Health, 1–15. http://doi.org/10.1007/s11524-017-0177-7
Sun, L., I. H. Lee, E. Hong. 2017. “Does Foreign Direct Investment Stimulate New Firm Creation? In Search of Spillovers through Industrial and Geographical Linkages.” Small Business Economics: An Entrepreneurship Journal (2018 IF: 3.555), 48(3), 613-631.DOI: 10.1007/s11187-016-9803-0.
Tran, T. J., Bruening, J. M., Bunn, A. G., Salzer, M. W., & Weiss, S. B. (2017). Cluster analysis and topoclimate modeling to examine bristlecone pine tree-ring growth signals in the Great Basin, USA. Environmental Research Letters, 12(1), 014007.
Tran, T. J., Bruening, J. M., Bunn, A. G., Salzer, M. W., & Weiss, S. B. (2017). Cluster analysis and topoclimate modeling to examine bristlecone pine tree-ring growth signals in the Great Basin, USA. Environmental Research Letters, 12(1), 014007.
Vadrevu, K., Ohara, T. and Justice, C., 2017. Land cover, land use changes and air pollution in Asia: a synthesis. Environmental Research Letters, 12(12), p.120201
Van Dyke, Fred, Allison Engel, Seth. M. Harju, Rachel Lamb, Dan Thompson, Julia Ryan, Erin Pyne, and Gwen Dreyer. (2017). Amphibians in forest pools: Does habitat clustering affect community diversity and dynamics? Ecosphere, 8(2), e01671. https://doi.org/10.1002/ecs2.1671
Wang, S., Zhou, C, Wang, Z, Feng, K., Hubacek, K., (2017), The characteristics and drivers of fine particulate matter (PM2.5) distribution in China, Journal of Cleaner Production 142, pages 1800-1809.
Wayland, J. (2017). Constraints on aid effectiveness in the water, sanitation, and hygiene (WASH) sector: evidence from Malawi. African Geographical Review.
Wayland, J., & Kuniholm, M. (2016). Legacies of conflict and natural resource resistance in Guatemala. The Extractive Industries and Society, 3(2), 395-403.
Yang, X., Z. Tian, L. Sun, B. Chen, F. N. Tubiello. 2017. “The impacts of increased heat stress events on wheat yield under climate change in China.” Climatic Change (2018 IF: 4.168), vol. 140, no. 3, pp 605–620.DOI: 10.1007/s10584-016- 1866-z.
Ying, Q., Hansen, M.C., Potapov, P. V., Tyukavina, A., Wang, L., Stehman, S. V., Moore, R., Hancher, M., 2017. Global bare ground gain from 2000 to 2012 using Landsat imagery. Remote Sens. Environ. 194, 161–176. doi:10.1016/j.rse.2017.03.022
Yuan Zhou, Dongdong Wang, Yunyue Yu, Shunlin Liang. 2017. VIIRS land surface albedo product: algorithm development and validation. IEEE International Geoscience and Remote Sensing Symposium, 51-54. DOI: 10.1109/IGARSS.2017.8126891.
Zambon, Ilaria, et al. "Land quality, sustainable development and environmental degradation in agricultural districts: A computational approach based on entropy indexes." Environmental Impact Assessment Review 64 (2017): 37-46. land_quality_sustainable_development_and_environmental_degradation_in_agricultural_districts_a_computational_approach_based_on_entropy_indexes.pdf1.28 MB
Zhang, Y., He, T., Liang, S. and Wang, D. Evaluation of the NOAA GOES-R ABI Land Surface Albedo and Reflectance Product Suite, AGU fall meeting, 2017
Zhang, Y., He, T., Liang, S. and Wang, D., 2017, August. Estimation of all-sky instantaneous photosynthetically active radiation from visible infrared imaging radiometer suite data using optimization method. In Agro- Geoinformatics, 2017 6th International
Zhong, H., L. Sun, G. Fischer, Z. Tian, H. v. Velthuizen, Z. Liang. 2017. “Mission Impossible? Maintaining regional grain production level and recovering local groundwater table by cropping system adaptation across the North China Plain.” Agricultural Water Management (2018 IF: 3.542; 5-yr IF: 3.834), Vol. 193, pp. 1-12. https://doi.org/10.1016/j.agwat.2017.07.014.
Cooper, M., & West, C. T. (2016). Unraveling the Sikasso Paradox: Agricultural Change and Malnutrition in Sikasso, Mali. Ecology of Food and Nutrition, 56(2), 101-123. 2017 Cooper - Unraveling the Sikasso Paradox Agricultural Change and Malnutrition in Sikasso Mali.pdf1.52 MB
Gao, X., Dong, W., Tong, Y., Cui, D.(2016). Study on the influence of field cognitive style, gender and spatial terminology on geographical spatial orientation ability: based on experiments in virtual space, Journal of Geo-information ScienceDOI:10.3724/SP.J.1047.2016.01513 (in Chinese)
Longo M, Keller M, dos-Santos MN, Leitold V, Pinagé ER, Baccini A, Saatchi S, Nogueira EM, Batistella M, Morton DC. (2016) Aboveground biomass variability across intact and degraded forests in the Brazilian Amazon.Global Biogeochemical Cycles, 30, 1639–1660.
Sedano, Fernando, Julie A. Silva, Rene Machoco, Cardoso H. Meque, Almeida Sitoe, Natasha Ribeiro, Kelly Anderson, Zacarias A. Ombe, Susana Baule, and Compton J. Tucker. 2016. The Impact of Charcoal Production on Forest Degradation: A Case Study in Tete, Mozambique. Environmental Research Letters 11: 094020. DOI:10.1088/1748-9326/11/9/094020
Chen, J., Rao, Y., Shen, M., Wang, C., Zhou, Y., Ma, L., ... & Yang, X. (2016). A simple method for detecting phenological change from time series of vegetation index. IEEE Transactions on Geoscience and Remote Sensing, 54(6), 3436-3449.
Lu, M., Chen, J., Tang, H., Rao, Y., Yang, P., & Wu, W. (2016). Land cover change detection by integrating object-based data blending model of Landsat and MODIS. Remote Sensing of Environment, 184, 374-386.
Jantz, S. M., Pintea, L., Nackoney, J., & Hansen, M. C. (2016). Landsat ETM+ and SRTM data provide near real-time monitoring of Chimpanzee (Pan troglodytes) habitats in Africa. Remote Sensing, 8(5), 427.