Publications related to Carbon, Vegetation Dynamics and Landscape-Scale Processes | Geographical Sciences Department

Bruening, J. M., Tran, T. J., Bunn, A. G., Weiss, S. B., & Salzer, M. W. (2017). Fine-scale modeling of bristlecone pine treeline position in the Great Basin, USA. Environmental Research Letters, 12(1), 014008.
Cao, Y., Liang, S., Chen, X., He, T., Wang, D., & Cheng, X. (2017). Enhanced wintertime greenhouse effect reinforcing Arctic amplification and initial sea-ice melting. Scientific Reports, 7, 8462
Krishna Prasad Vadrevu, Rama Nemani, Chris Justice and Garik Gutman (Eds). 2017. Mapping, Monitoring and Impact Assessment of Land Cover/Land Use Changes in South and South East Asia. Remote Sensing (MDPI) Special Issue. (ISSN 2072-4292).
L. Olivera – Guerra, C. Mattar, O. Merlin, C. Durán – Alarcón, A. Santamaría – Artigas, R. Fuster. 2017. An operational method for the disaggregation of land surface temperature to estimate actual evapotranspiration in the arid region of Chile. ISPRS JPRS
Lasko K, Vadrevu KP, Tran VT, Ellicott E, Nguyen TTN, Bui HQ, Justice C. 2017. Satellites may underestimate rice residue and associated burning emissions in Vietnam. Environmental Research Letters, 12(8), 085006.
Molinario G, Hansen M C, Potapov P V, Tyukavina A, Stehman S, Barker B and Humber M 2017 Quantification of land cover and land use within the rural complex of the Democratic Republic of Congo Environ. Res. Lett. 12 104001
O’Leary, D.S., Kellermann, J.L. & Wayne, C. Int J Biometeorol (2017). https://doi.org/10.1007/s00484-017-1449-3
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
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.
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.
Bandaru, V., C.S. Daughtry, E.E. Codling, D.J. Hansen, S. White-Hansen, and C.E. Green. 2016. Evaluating Leaf and Canopy Reflectance of Stressed Rice Plants to Monitor Arsenic Contamination. Int. J. Environ. Res. Public Health. 13(6):606
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
Hurtt, G. C., Thomas, R. Q., Fisk, J. P., Dubayah, R. O., & Sheldon, S. L. (2016). The Impact of Fine-Scale Disturbances on the Predictability of Vegetation Dynamics and Carbon Flux. PLoS ONE, 11(4), e0152883–11. http://doi.org/10.1371/journal.pone.015288 Hurtt,2016,PLoS ONE.PDF685.14 KB
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
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.
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.
Molinario, G., Davies, D. K., Schroeder, W. & Justice, C. O. Characterizing the spatio-temporal fire regime in Ethiopia using the MODIS-active fire product: a replicable methodology for country-level fire reporting.