Publications | GEOG | Geographical Sciences Department | University of Maryland

Santamaria-Artigas, A., Vermote, E.F., Franch, B., Roger, J.-C., Skakun, S., 2021. Evaluation of the AVHRR surface reflectance long term data record between 1984 and 2011. Int. J. Appl. Earth Obs. Geoinf. 98, 102317. https://doi.org/10.1016/j.jag.2021.102 asantam_JAG_AVHRR.pdf15.57 MB
Sauer, Jeffery, Kathleen Stewart, and Zachary D W Dezman. 2021. “A Spatio-Temporal Bayesian Model to Estimate Risk and Evaluate Factors Related to Drug-Involved Emergency Department Visits in the Greater Baltimore Metropolitan Area.” Journal of Substance
Song, X.-P., Hansen, M.C., Potapov, P.V., Adusei, B., Pickering, J., Adami, M., Lima, A., Zalles, V., Stehman, S.V., (2021). Massive soybean expansion in South America since 2000 and implications for conservation. Nature Sustainability, 4, 784-792Link to the article: https://www.nature.com/articles/s41893-021-00729-z
Song, X.-P., Huang, W., Hansen, M.C., & Potapov, P. (2021). An evaluation of Landsat, Sentinel-2, Sentinel-1 and MODIS data for crop type mapping. Science of Remote Sensing, 3, 100018Link to the article: https://www.sciencedirect.com/science/article/pii/S2666017221000055
Traldi, Rebecca. 2021. “Progress and Pitfalls: A Systematic Review of the Evidence for Agricultural Sustainability Standards.” Ecological Indicators 125 (June): 107490. https://doi.org/10.1016/j.ecolind.2021.107490.
Wang, S, R Toumi, Q Ye, Q Ke, J Bricker, Z Tian, L Sun. 2021. Is the tropical cyclone surge in Shanghai more sensitive to landfall location or intensity change? Atmospheric Science Letters (2020 IF: 2.415), e1058. https://doi.org/10.1002/asl.1058. Is the tropical cyclone surge in Shanghai more sensitive tolandfall location or intensity change_ASL-e1058.pdf1.17 MB
Xu, Shuo, Jie Cheng, and Quan Zhang. "A Random Forest-Based Data Fusion Method for Obtaining All-Weather Land Surface Temperature with High Spatial Resolution." Remote Sensing 13.11 (2021): 2211.
Zhong, H, K Feng, L Sun, Z Tian, G Fischer, et al. 2021. Water-land Tradeoffs to Meet Future Demands for Sugar Crops in Latin America and the Caribbean: A Bio-physical and Socio-economic Nexus Perspective. Resources, Conservation & Recycling (IF: 10.204).Vol. 169, article no. 105510. https://doi.org/10.1016/j.resconrec.2021.105510.
Zhu, G., Stewart, K., Niemeier, D., & Fan, J. (2021). Understanding the Drivers of Mobility during the COVID-19 Pandemic in Florida, USA Using a Machine Learning Approach. ISPRS International Journal of Geo-Information, 10(7), 440.
Hall, J.V., Zibstev, S.V., Giglio, L., Skakun, S., Myroniuk, V., Zhuravel, O., Goldammer, J.G. and Kussul, N., 2021. Environmental and political implications of underestimated cropland burning in Ukraine. Environmental Research Letters. Hall_2021_Environ._Res._Lett._16_064019.pdf1.88 MB
Phosri, K. Tantipisanuh, N., Chutipong. W., Gore, M. L., Giordano, A. J., Ngoprasert, J. Fishing cats in an anthropogenic landscape: a multi-method assessment of local population status and threats. Global Ecology and Conservation, https://doi.org/10.1016/j.gecco.2021.e01615 1-s2.0-S2351989421001657-main.pdf1.97 MB
Zhao, D, J Liu, L Sun, B Ye, K Hubacek, K Feng, O Varis. 2021. “Quantifying economic-social-environmental trade-offs and synergies of water-supply constraints: An application to the capital region of China.” Water Research (2020 IF: 11.236), Vol. 195,article no. 116986. https://doi.org/10.1016/j.watres.2021.116986. Quantifying economic-social-environmental trade-offs and synergies of water-supply constraints An application to the capital region of China_WR2021.pdf2.85 MB
Biffi, Sofia, Rebecca Traldi, Bart Crezee, Michael Beckmann, Lukas Egli, Dietrich Epp Schmidt, Nicole Motzer, et al. 2021. “Aligning Agri-Environmental Subsidies and Environmental Needs: A Comparative Analysis between the US and EU.” Environmental Research Letters. https://doi.org/10.1088/1748-9326/abfa4e.
Biswas, S., Vadrevu, K.P., Mon, M.S. and Justice, C., 2021. Contemporary forest loss in Myanmar: Effect of democratic transition and subsequent timber bans on landscape structure and composition. Ambio, 50(4), pp.914-928.
Hosseini, M., McNairn, H., Mitchell, S., Robertson, L. D., Davidson, A., Ahmadian, N., Bhattacharya, A., et al. (2021). A Comparison between Support Vector Machine and Water Cloud Model for Estimating Crop Leaf Area Index. Remote Sensing, 13(7), 1348. MDP remotesensing-13-01348-v2.pdf0 bytes
Ma, L., Hurtt, G., Tang, H., Lamb, R., Campbell, E., Dubayah, R., Guy, M., Huang, W., Lister, A., Lu, J., O’Neil-Dunne, J., Rudee, A., Shen, Q., & Silva, C. (2021). High-resolution forest carbon modeling for climate mitigation planning over the RGGIregion, USA. Environmental Research Letters, 16(4), 045014. https://doi.org/10.1088/1748-9326/abe4f4
Nakalembe, C., Becker-Reshef, I., Bonifacio, R., Hu, G., Humber, M. L., Justice, C. J., … Sanchez, A. (2021). A review of satellite-based global agricultural monitoring systems available for Africa. Global Food Security, 29, 100543. https://doi.org/10.101 1-s2.0-S2211912421000523-main.pdf2.7 MB
Gitelson, A., Arkebauer, T., Viña, A., Skakun, S., & Inoue Y. (2021). Evaluating plant photosynthetic traits via absorption coefficient in the photosynthetically active radiation region. Remote Sensing of Environment, 258, art. num. 112401.
Gluszek, S, Viollaz, J, Mwinyihali, R, Wieland, M, Gore, ML. Using conservation criminology to understand the role of restaurants in the urban wild meat trade. Conservation Science and Practice. 2021;e368. https://doi.org/10.1111/csp2.368
Sandler, A.M. 2021. Against Standard Deviation as a Quality Control Maxim in Anthropometry. Econ Journal Watch, 18(1), 95{126. SandlerMar2021.pdf360.71 KB
Skakun, S., Vermote, E. F., Artigas, A. E. S., Rountree, W. H., & Roger, J. C. (2021). An experimental sky-image-derived cloud validation dataset for Sentinel-2 and Landsat 8 satellites over NASA GSFC.International Journal of Applied Earth Observation and Geoinformation, 95, 102253.
Tian, Z, Y Fan, K Wang, H Zhong, L Sun, D Fan, F N Tubiello, J Liu. 2021. Searching for ‘Win-Win’ Solutions for Food-Water-GHG Emissions Tradeoffs across Irrigation Regimes of Paddy Rice in China. Resources, Conservation & Recycling (2020 IF: 10.204).Vol. 166, article no. 105360. https://doi.org/10.1016/j.resconrec.2020.105360.
Viollaz, J., Long, B., Trung, C.T. et al. Using crime script analysis to understand wildlife poaching in Vietnam. Ambio (2021). https://doi.org/10.1007/s13280-020-01498-3 Viollaz_et_al-2021-Ambio.pdf1014.99 KB
Xin, Yu, Laixiang Sun, Matt Hansen. 2021. “Biophysical and socioeconomic drivers of oil palm expansion in Indonesia.” Environmental Research Letters (2020 IF: 6.793), Vol. 16, article no. 034048, https://doi.org/10.1088/1748-9326/abce83. Xin_2021_Environ._Res._Lett._16_034048.pdf1.43 MB
Gore, M.L. and Bennett, A. (2021), Importance of deepening integration of crime and conservation sciences. Conservation Biology. https://doi.org/10.1111/cobi.13710.