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

Liu, X., Pei, S., Wang, S., Wen, Y., Li, X., Wu, J., Chen, J., Feng, K., Liu, J., Hubacek, K., Davis, S., Yu, L., Liu, Z., Wu, C., Cai, Y., Yuan, W., (2019), Global urban expansion offsets climate-driven increases in terrestrial net primary productivity,
Chen, D., Loboda, T.V., & Hall, J.V. (2020). A systematic evaluation of influence of image selection process on remote sensing-based burn severity indices in North American boreal forest and tundra ecosystems. Isprs Journal of Photogrammetry and Remote Sensing, 159, 63-77 https://doi.org/10.1016/j.isprsjprs.2019.11.011
Skakun S., Justice C., Kussul N., Shelestov A., Lavreniuk M. (2019) Satellite Data Reveal Cropland Losses in South-Eastern Ukraine Under Military Conflict. Frontiers in Earth Science, 7:305.
Vadrevu, K., Heinimann, A., Gutman, G. and Justice, C., 2019. Remote sensing of land use/cover changes in South and Southeast Asian Countries. Special Issue. International Journal of Digital Earth. https://doi.org/10.1080/17538947.2019.1654274
Vadrevu, K.P., Dadhwal, V.K., Gutman, G. and Justice, C., 2019. Remote sensing of agriculture–South/Southeast Asia research initiative special issue. International Journal of Remote Sensing. https://doi.org/10.1080/01431161.2019.1617507
Li Wang, Wensheng Duan, Bo Yu, Qing Ying, Hanbing Yang, Yahui Lei, 2019. Exploring the Response Mechanism of Remote Sensing Images in Monitoring Fixed Assets Investment Project in Terms of Building Detection. IEEE Access 7:167919 - 167929
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
Vadrevu, K.P., Lasko, K., Giglio, L., Schroeder, W., Biswas, S. and Justice, C., 2019. Trends in vegetation fires in south and southeast Asian countries. Scientific reports, 9(1), pp.1-13.
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). vol. 14, article no. 114015.https://doi.org/10.1088/1748-9326/ab443e. Satellite-detected gain in built-up area as a leading economic indicator_EnvResearchLetters2019.pdf1.05 MB
Jie Pei, Li Wang, Xiaoyue Wang, Zheng Niu, Maggi Kelly, Xiao-Peng Song, Ni Huang, Jing Geng, Haifeng Tian, Yang Yu, Shiguang Xu, Lei Wang, Qing Ying, Jianhua Cao, 2019. Time Series of Landsat Imagery Shows Vegetation Recovery in Two Fragile Karst Watersheds in Southwest China from 1988 to 2016. Remote Sensing 11(17):2044
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
Xianghong Che, Min Feng, Joe Sexton, Saurabh Channan, Qing Sun, Qing Ying, Jiping Liu, Yong Wang, 2019. Landsat-Based Estimation of Seasonal Water Cover and Change in Arid and Semi-Arid Central Asia (2000–2015). Remote Sensing 11(11).
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.