Publications related to Geospatial-Information Science and Remote Sensing | Geographical Sciences Department

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.
Cao, Y., Stewart, K., & Kalil, R. (2016). Geographic patterns of end-stage renal disease and kidney transplants in the Midwestern United States. Applied Geography, 71, 133–143. doi:10.1016/j.apgeog.2016.05.001
Chen, D., Loboda, T.V., Krylov, A., & Potapov, P.V. (2016). Mapping stand age dynamics of the Siberian larch forests from recent Landsat observations. Remote Sensing of Environment, 187, 320-331.
Dickinson, M., Hudak, A., Zajkowski, T., Loudermilk, E., Schroeder, W. et al. (2016). Measuring radiant emissions from entire prescribed fires with ground, airborne, and satellite sensors - RxCADRE 2012. Int. Journal of Wildland Fires, doi: 10.1071/WF150
Jantz, S., L. Pintea, J. Nackoney, M. Hansen (2016). Landsat ETM+ and SRTM data provide near real-time monitoring of chimpanzee (Pan troglodytes) habitats in Africa. Remote Sensing, 8(5), 427. http://doi.org/10.3390/rs8050427
Jia, A., Jiang, B., Liang, S., Zhang, X., & Ma, H. (2016). Validation and spatiotemporal analysis of CERES surface net radiation product. Remote Sensing, 8(2), 90.
Kussul, N., Lemoine, G., Gallego, F. J., Skakun, S. V., Lavreniuk, M., & Shelestov, A. Y. (2016) Parcel-Based Crop Classification in Ukraine Using Landsat-8 Data and Sentinel-1A Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(6), 2500–2508.
Lei Ma, Jin Chen, Yuan Zhou, Xuehong Chen. 2016. Two-Step Constrained Nonlinear Spectral Mixture Analysis Method for Mitigating the Collinearity Effect. IEEE Transactions on Geoscience and Remote Sensing 54(5):1-14.
Loboda, T.V., & Chen, D. (2016). Spatial distribution of young forests and carbon fluxes within recent disturbances in Russia. Global Change Biology, 23, 138-153.
Marselis, S. M., Yebra, M., Jovanovic, T., & van Dijk, A. I. (2016). Deriving comprehensive forest structure information from mobile laser scanning observations using automated point cloud classification. Environmental Modelling & Software, 82, 142-151.
O’Leary, D.S., III, T.D. Bloom, J.C. Smith, C.R. Zemp, and M.J. Medler. 2016. A new method comparing snowmelt timing with annual area burned. Fire Ecology 12(1): 41−51. doi: 10.4996/fireecology.1201041
Palumbo, I., R.A. Rose, R. M. K. Headley, J. Nackoney, A. Vodacek, M. Wegmann (2016). Building capacity in remote sensing for conservation: present and future challenges. Remote Sens Ecol Conserv, 3(1), 21-29. https://doi.org/10.1002/rse2.31
Song, X.P., Sexton, J.O., Huang, C., Channan, S. & Townshend, J.R. (2016) Characterizing the magnitude, timing and duration of urban growth from time series of Landsat-based estimates of impervious cover, Remote Sensing of Environment,
Tyukavina, A., Hansen, M.C., Potapov, P.V., Krylov, A.M., & Goetz, S.J. (2016) Pan‐tropical hinterland forests: mapping minimally disturbed forests. Global Ecology and Biogeography, 25(2), 151-163.
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
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.
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
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.
Fa, J.E., M.Á. Farfán, A.L. Marquez, J. Duarte, J. Nackoney, A. Hall, J. Dupain, S. Seymour, P. Johnson, J. Olivero, D. Macdonald, R. Real, J.M. Vargas (2015). Correlates of bushmeat in markets and depletion of wildlife. Conservation Biology 29 (3): 805-815.
He J., Hong L., Frias-Martinez V., Torrens P. (2015) Uncovering Social Media Reaction Pattern to Protest Events: A Spatiotemporal Dynamics Perspective of Ferguson Unrest. In: Liu TY., Scollon C., Zhu W. (eds) Social Informatics.
Jiang, B., Zhang, Y., et. al, 2015. Empirical estimation of daytime net radiation from shortwave radiation and ancillary information. Agricultural and Forest Meteorology, 211, pp.23-36
Lei Ma, Yuan Zhou, Jin Chen, Xuehong Chen. 2015. Estimation of Fractional Vegetation Cover in Semiarid Areas by Integrating Endmember Reflectance Purification Into Nonlinear Spectral Mixture Analysis. IEEE Geoscience and Remote Sensing Letters 12(6)