Publications | GEOG | Geographical Sciences Department | University of Maryland

Waldner F., de Abelleyra D., Veron S. R., Zhang M., Wu B., Plotnikov D., Bartalev S., Lavreniuk M., Skakun S., Kussul N., et al. 2016. Towards a set of agrosystem-specific cropland mapping methods to address the global cropland diversity.International Journal of Remote Sensing, 37(14), 3196–3231. Towards a set of agrosystem specific cropland mapping methods to address the global cropland diversity.pdf5.47 MB
Wang, S., Zhou, C., Li, G., Feng, K., (2016), CO 2, economic growth, and energy consumption in China's provinces: investigating the spatiotemporal and econometric characteristics of China's CO 2 emissions, Ecological Indicators 69, pages 184-195.
Yan, Jianzhong, Ziyan Yang, Zanhong Li, Xiubin Li, Liangjie Xin, Laixiang Sun. 2016. “Drivers of cropland abandonment in mountainous areas: A household decision model on farming scale and a case study of Southwest China.” Land Use Policy (2017 IF: 3.194; 5-yr IF: 3.622), vol. 57, pp. 459-469. DOI: 10.1016/j.landusepol.2016.06.014.
Yang, H., S. Dobbie, J. Ramirez-Villegas, K. Feng, A. J. Challinor, B. Chen, Y. Gao, L. Lee, Y. Yin, L. Sun, J. Watson, A. Koehler, T. Fan, S. Ghosh. 2016. Potential negative consequences of geoengineering on crop production: a study of Indian groundnut.(2018 IF: 4.34; 13/184 in Geosciences Multidisciplinary), Vol. 43, pp. 11,786–11,795. DOI: 10.1002/2016GL071209. Yang_et_al-2016-Geophysical_Research_Letters.pdf1.76 MB
Yu, Y., Feng, K., Sun, L., Hubacek, K., (2016), Global Implications of China’s Future Food Consumption, Journal of Industrial Ecology.
Yu, Yang, Kuishuang Feng, Klaus Hubacek, Laixiang Sun. 2016. “Global Implications of China’s Future Food Consumption.” Journal of Industrial Ecology (2018 IF: 4.826), vol. 20, no. 3, pp. 593-602. DOI: 10.1111/jiec.12392.
Yuan Zhou, Dongdong Wang, Shunlin Liang, Yunyue Yu, Tao He. 2016. Assessment of the Suomi NPP VIIRS Land Surface Albedo Data Using Station Measurements and High-Resolution Albedo Maps. Remote Sensing, 8(2): 137-152.
Dodson, Zan, Jan Dempewolf, and Julie A. Silva. 2016. Does prolonged illness contribute to land use change among subsistence agricultural households in rural Mozambique? Applied Geography 67(February): 109-118. DOI: 10.1016/j.apgeog.2015.12.007
Impact Evaluation of Feature Reduction Techniques on Classification of Hyper Spectral Imagery, M. J Indian Soc Remote Sens (2015) 43: 1. https://doi.org/10.1007/s12524-014-0367-7
Li, J., Rao, Y., Sun, Q., Wu, X., Jin, J., Bi, Y., ... & Ma, J. (2015). Identification of climate factors related to human infection with avian influenza A H7N9 and H5N1 viruses in China. Scientific reports, 5, 18094.
Rao, Y., Zhu, X., Chen, J., & Wang, J. (2015). An improved method for producing high spatial-resolution NDVI time series datasets with multi-temporal MODIS NDVI data and Landsat TM/ETM+ images. Remote Sensing, 7(6), 7865-7891.
Wang, C., Cao, R., Chen, J., Rao, Y., & Tang, Y. (2015). Temperature sensitivity of spring vegetation phenology correlates to within-spring warming speed over the Northern Hemisphere. Ecological Indicators, 50, 62-68.
Doğukan Doğu Yavaşlı, Compton J. Tucker, Katherine A. Melocik, Change in the glacier extent in Turkey during the Landsat Era, Remote Sensing of Environment, Volume 163, 2015, Pages 32-41, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2015.03.002 Change in the glacier extent in Turkey during the Landsat Era.pdf5.28 MB
Rappaport, D.I., Tambosi, L.R., Metzger, J.P., 2015. A landscape triage approach: Combining spatial and temporal dynamics to prioritize restoration and conservation. Journal of Applied Ecology 52, 590–601. https://doi.org/10.1111/1365-2664.12405
Boschetti, L.; Roy, D.P.; Justice, C.O.; Humber, M., “MODIS-Landsat fusion for large area 30m burned area mapping,” Remote Sensing of Environment, vol. 161, pp. 27-42, May 2015, doi: 10.1016/j.rse.2015.01.022.
Stark SC, Enquist BJ, Saleska SR, Leitold V, Schietti J, Longo M, Alves LF, Camargo PB, Oliveira RC. (2015) Linking canopy leaf area and light environments with tree size distributions to explain Amazon forest demography.Ecology Letters, doi: 10.1111/ele.12440.
Leitold V, Keller M, Morton DC, Cook BD, Shimabukuro YE. (2015) Airborne lidar-based estimates of tropical forest structure in complex terrain: opportunities and trade-offs for REDD+.Carbon Balance and Management, 10:3.
*Biswas, S., Lasko, K., Vadrevu, KP. 2015. Fire Disturbance in Tropical Forests of Myanmar—Analysis Using MODIS Satellite Datasets. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, (8)5-2273-2281.
*Biswas, S., Vadrevu, K. P., Lwin, Z. M., *Lasko, K., & Justice, C. O. 2015. Factors controlling vegetation fires in protected and non-protected areas of Myanmar. PLOS ONE. DOI: 10.1371/journal.pone.0124346.
Acquaye, A., Yamoah, F., Feng, K., (2015), An Integrated Environmental and Fairtrade Labelling Scheme for Product Supply Chains, International Journal of Production Economics, In press.
Boschetti, L., Roy, D.P., Justice, C.O., Humber, M., MODIS-Landsat data fusion for large area 30m burned area mapping in forest ecosystems, Remote Sensing of Environment, in press.
Bounoua, Lahouari, Ping Zhang, Georgy Mostovoy, Kurtis Thome, Jeffery Masek, Marck Imhoff, Marshall Sheppard, Dale Quattrochi, Joseph Santanello, Julie Silva, Robert Wolfe, and Ally Mounirou Toure. 2015. Impact of Urbanization on US Surface Climate.
C. Mattar, C. Durán – Alarcón, J. C. Jiménez – Muñoz, A. Santamaría – Artigas, L. Olivera – Guerra & J. A. Sobrino. 2015. Global Atmospheric Profiles from Reanalysis Information (GAPRI): A new database for Earth Surface Temperature retrievals. Mattar et al. - Global Atmospheric Profiles from Reanalysis Information (GAPRI) a new database for earth surface temperature retrieval.pdf969.09 KB
C. T. Pinto, F. Ponzoni, C. Barrientos, C. Mattar, A. Santamaría – Artigas & R. M. Castro. 2015. Spectral and Atmospheric Characterization of a site at Atacama Desert for Earth Observation Sensors Calibration. IEEE Geoscience and Remote Sensing Letters. Pinto et al. - Spectral and Atmospheric Characterization of a Site at Atacama Desert for Earth Observation Sensor Calibration.pdf1.01 MB
Chen, D., T.V. Loboda, S. Channan, and A. Hoffman-Hall. 2015. Russian Boreal Forest Disturbance Maps Derived from Landsat Imagery, 1984-2000. ORNL DAAC, Oak Ridge, Tennessee, USA. http://dx.doi.org/10.3334/ORNLDAAC/1294