Publications related to Land Cover - Land Use Change | Geographical Sciences Department

Hoffman-Hall, A., Loboda, T. V., Hall, J. V., Carroll, M. L., & Chen, D. (2019). Mapping remote rural settlements at 30 m spatial resolution using geospatial data-fusion. Remote Sensing of Environment, 233, 111386.
Hu, H., Z. Tian, L. Sun, J. Wen, Z. Liang, G. Dong, J. Liu. 2019. “Synthesized trade-off analysis of flood control solutions under future deep uncertainty: An application to the central business district of Shanghai.” Water Research (2018 IF: 7.913; 5 yr IF: 8.424), vol. 166, article no. 115067. https://doi.org/10.1016/j.watres.2019.115067. Synthesized trade-off analysis of flood control solutions under future deep uncertainty_WaterResearch_Sep2019.pdf2.42 MB
Ying, Q., M. C. Hansen, L. Sun, L. Wang, M. Steininger. 2019. “Satellite-detected gain in built-up area as a leading economic indicator.” Environmental Research Letters (2018 IF: 6.192), in press.
Skakun, S.; Vermote, E.; Franch, B.; Roger, J.-C.; Kussul, N.; Ju, J.; Masek, J. (2019) Winter Wheat Yield Assessment from Landsat 8 and Sentinel-2 Data: Incorporating Surface Reflectance, Through Phenological Fitting, into Regression Yield Models.Remote Sensing, 11(15), 1768
Note: Dr.Vadrevu's research was previously published as "V.K.Prasad" and "V.Krishna Prasad". Asterisk indicates student researcher.
Vadrevu,KP,Lasko,K, Giglio,L, Schroeder,W, Biswas,S., and Justice,C. 2019. Trends in Vegetation fires in South and Southeast Asian Countries.NatureScientificReports 9:7422
Franch, B., Vermote, E. F., Skakun, S., Roger, J. C., Becker-Reshef, I., Murphy, E., & Justice, C. (2019). Remote sensing based yield monitoring: Application to winter wheat in United States and Ukraine. International Journal of Applied Earth Observation and Geoinformation, 76, 112-127.
Notaro, M., Emmett, K., and O’Leary, D. (2019). Spatio-Temporal Variability in Remotely Sensed Vegetation Greenness Across Yellowstone National Park. Remote Sensing 11, 798. https://doi:10.3390/rs11070798
00
Munoz Castillo, R., K. Feng, L. Sun, J. Guilhoto, S. Pfister, F. Miralles-Wilhelm, K. Hubacek. 2019. “The land-water nexus of biofuel production in Brazil: analysis of synergies and trade-offs using a multiregional input-output model.” Journal of Cleaner Production (2018 IF: 6.395, 5-yr IF: 7.051), vol. 214, pp. 52-61.
Zhao, D., K. Hubacek, K. Feng, L. Sun, J. Liu. 2019. “Explaining the virtual water trade: A spatial-temporal analysis of the comparative advantage of land, labor and water in China.” Water Research (2018 IF: 7.913; 5 yr IF: 8.424), Vol. 153, pp. 304-314. Explaining virtual water trade A spatial-temporal analysis of the comparative advantage of land, labor and water in China_WaterResearch2019.pdf2.65 MB
Zhong, H., L. Sun, G. Fischer, Z. Tian, Z. Liang. 2019. “Optimizing regional cropping systems with a dynamic adaptation strategy for water sustainable agriculture in the Hebei Plain.” Agricultural Systems (2018 IF: 4.131, 5-yr IF: 4.155), 173, 94-106.https://doi.org/10.1016/j.agsy.2019.02.005
Terada, S., J. Nackoney, T. Sakamaki, M.N. Mulavwa, T. Yumoto, T. Furuichi (2019). Comparative use of inundated habitats by great apes in the Congo Basin: A case study of swamp forest use by bonobos at Wamba, Democratic Republic of the Congo. In: Primatesin Flooded Habitats: Ecology and Conservation (A.A. Barnett, I. Matsuda and K. Nowak, Eds.). Cambridge, U.K.: Cambridge University Press.
Zalles, V., Hansen, M. C., Potapov, P. V., Stehman, S. V., Tyukavina, A., Pickens, A., ... & John, N. (2019). Near doubling of Brazil’s intensive row crop area since 2000. Proceedings of the National Academy of Sciences, 116(2), 428-435.https://doi.org/10.1073/pnas.1810301115
Claverie, M., Ju, J., Masek, J. G., Dungan, J. L., Vermote, E. F., Roger, J.-C., Skakun, S. V., & Justice, C. (2018). The Harmonized Landsat and Sentinel-2 surface reflectance data set. Remote Sensing of Environment, 219, 145-161.
Cooper, M., Zvoleff, A, Gonzalez-Roglich, M., Tusiime, F., Musumba, M., Noon, M., Alele, P., Nyiratuza, M., (2018) Geographic Factors Predict Wild Food and Nonfood NTFP Collection by Households Across Four African Countries. Forest Policy and Economics, 9 2018 Cooper - Geographic factors predict wild food and nonfood NTFP collection by households across four African countries.pdf775.68 KB
Liao, W., Liu, X., Li, D., Luo., M., Wang., D., Wang, S., Lin, L., Li, X., Feng, K., Hubacek, K., Yang, X., (2018), Stronger Contributions of Urbanization to Heat Wave Trends in Wet Climates, Geophysical Research Letters, 45.
Tian, Z., Y. Ji, L. Sun, X. Xu, D. Fan, H. Zhong, Z. Liang, G. Ficsher. 2018. Changes in production potentials of rapeseed in the Yangtze River Basin of China under climate change: A multi-model ensemble approach. Journal of Geographical Sciences.(2018 IF: 2.347), Vol. 28, No. 11, pp. 1700-1714.
Donal O’Leary III,Dorothy Hall,Michael Medler, et al. Quantifying the early snowmelt event of 2015 in the Cascade Mountains, USA by developing and validating MODIS-based snowmelt timing maps[J]. Front. Earth Sci., 03 August 2018. [Epub ahead of print] doi: 10.1007/s11707-018-0719-7.
Li, Y., Chen, J., & Rao, Y. (2018). A practical sampling method for assessing accuracy of detected land cover/land use change: Theoretical analysis and simulation experiments. ISPRS Journal of Photogrammetry and Remote Sensing, 144, 379-389.
Khan, A., Hansen, M.C., Potapov, P.V., Adusei, B., Pickens, A., Krylov, A., Stehman, S.V. Evaluating Landsat and RapidEye Data for Winter Wheat Mapping and Area Estimation in Punjab, Pakistan, Remote Sensing (2018)https://doi.org/10.3390/rs10040489
Nakalembe, C. (2018) Characterizing agricultural drought in the Karamoja subregion of Uganda with meteorological and satellite-based indices. Natural Hazards 91: 837. https://doi.org/10.1007/s11069-017-3106-x
Alabar,I., Jaya,I.,Saharjo,B.H.,Kuncahyo,B., and K.P.Vadrevu. 2018. Spatio-temporal Analysis of Land and Forest Fires in Indonesia using MODIS Active Fire Dataset. Chapter-6. In Land-Atmospheric Research Applications in South and Southeast Asia. Spr
Chen, D., & Loboda, T.V. (2018). Surface forcing of non-stand-replacing fires in Siberian larch forests. Environmental Research Letters, 13, 045008.
Chen, D., Loboda, T.V., He, T., Zhang, Y., & Liang, S. (2018). Strong cooling induced by stand-replacing fires through albedo in Siberian larch forests. Scientific Reports, 8, 4821. strong_cooling_induced_by_stand-replacing_fires_through_albedo_in_siberian_larch_forests.pdf1.86 MB