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

Vadrevu, K.P., Le Toan, T., Ray, S.S., and Justice, C. 2022. Remote Sensing of Agriculture and Land Cover/Land Use Changes in South and Southeast Asian Countries. Springer Book. https://doi.org/10.1007/978-3-030-92365-5
Comment on Otón et al. Analysis of Trends in the FireCCI Global Long Term Burned Area Product (1982–2018)
Huang, X., Fu, Y., Wang, J., Dong, J., Zheng, Y., Pan, B., Skakun, S., & Yuan, W. (2022). High-Resolution Mapping of Winter Cereals in Europe by Time Series Landsat and Sentinel Images for 2016–2020. Remote Sensing, 14(9), art. num. 2120.
Dubayah, et al. (2021) GEDI L4A Footprint Level Aboveground Biomass Density, V2. ORNL DAAC, Oak Ridge, TNhttps://doi.org/10.3334/ORNLDAAC/1986
Duncanson et al. (2022). Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission. Remote Sensing of Environment, 270, 112845. 1-s2.0-S0034425721005654-main (1).pdf3.63 MB
Jia, A., Wang, D., ..., & Yu, Y. (2022). Global daily actual and snow-free blue-sky land surface albedo climatology from 20-year MODIS products. Journal of Geophysical Research: Atmospheres, 127, e2021JD035987. https://doi. org/10.1029/2021JD035987
Kussul, Nataliia, Klaus Deininger, Leonid Shumilo, Mykola Lavreniuk, Daniel Ayalew Ali, and Oleg Nivievskyi. "Biophysical Impact of Sunflower Crop Rotation on Agricultural Fields." Sustainability 14, no. 7 (2022): 3965.
Roger, J.-C., Vermote, E., Skakun, S., Murphy, E., Dubovik, O., Kalecinski, N., Korgo, B., & Holben, B. (2022). Aerosol models from the AERONET database: application to surface reflectance validation. Atmospheric Measurement Techniques, 15, 1123–1144.
Alkama, R., Forzieri, G., Duveiller, G., Grassi, G., Liang, S., & Cescatti, A. (2022). Vegetation-based climate mitigation in a warmer and greener World. Nature Communications, 13:606, doi:610.1038/s41467-41022-28305-41469
Cao, Y., S. Liang, L. Sun, J. Liu, X. Cheng, D. Wang, Y. Chen, M. Yu, K. Feng. 2022. Trans-Arctic shipping routes expanding faster than the model projections. Global Environmental Change (2020 IF: 9.523). 73, article no. 102488. https://doi.org/10.1016/j.gloenvcha.2022.102488
Ding, A., S. Liang, H. Ma, T. He, (2022), Extension of the Hapke model to the spectral domain to characterize soil physical properties, Remote Sensing of Environment, 269, 112843
Guo, T., He, T., Liang, S., Roujean, J.-L., Zhou, Y., & Huang, X. (2022). Multi-decadal analysis of high-resolution albedo changes induced by urbanization over contrasted Chinese cities based on Landsat data. Remote Sensing of Environment, 269, 112832
Humber, M., Zubkova, M. and Giglio, L., 2022. A remote sensing-based approach to estimating the fire spread rate parameter for individual burn patch extraction. International Journal of Remote Sensing, 43(2), pp.649-673. IJRS_FinalPub.pdf9.74 MB
Lhoest, Simon, Julie Linchant, Meredith L. Gore, and Cédric Vermeulen. "Conservation science and policy should care about violent extremism." Global Environmental Change 76 (2022): 102590.
Li, X.-Y., Li, X., Fan, Z., Mi, L., Kandakji, T., Song, Z., Li, D., & Song, X.-P. (2022). Civil war hinders crop production and threatens food security in Syria. Nature Food, 3, 38-46Link to the article: https://www.nature.com/articles/s43016-021-00432-4
Ma, H., Liang, S., Zhu, Z., & He, T. (2022). Developing a Land continuous Variable Estimator to generate daily land products from Landsat data. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-11. doi:10.1109/TGRS.2021.3121272
Zhan, C., & Liang, S. (2022). Improved estimation of the global top-of-atmosphere albedo from AVHRR data. Remote Sensing of Environment, 269, 112836
Bruening et al. Challenges to aboveground biomass prediction from waveform lidar. (2021) Environ. Res. Lett. 16 125013https://iopscience.iop.org/article/10.1088/1748-9326/ac3cec/meta Bruening_2021_Environ._Res._Lett._16_125013.pdf1.56 MB
Gutman, G., Skakun, S., Gitelson, A. (2021). Revisiting the Use of Red and Near-Infrared Reflectances in Vegetation Studies and Numerical Climate Models. Science of Remote Sensing, 4, art. num. 100025
Letter to the editor on “Nonlinear dynamics of fires in Africa over recent decades controlled by precipitation”
Potapov, P., Turubanova, S., Hansen, M.C., Tyukavina, A., Zalles, V., Khan, A., Song, X.-P., Pickens, A., Shen, Q., & Cortez, J. (2021). Global maps of cropland extent and change show accelerated cropland expansion in the twenty-first century. Nature Food 3, 19–28 Link to article: https://www.nature.com/articles/s43016-021-00429-z
Song, Y., Fellegara, R., Iuricich, F., & De Floriani, L. (2021). Efficient topology-aware simplification of large triangulated terrains. In GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems (Vol. 1, Issue 1)https://dl.acm.org/doi/abs/10.1145/3474717.3484261
Sauer, Jeffery, Taylor Oshan, Sergio Rey, and Levi John Wolf. 2021. “The Importance of Null Hypotheses: Understanding Differences in Local Moran’s Under Heteroskedasticity.” Geographical Analysis (20211008). https://doi.org/10.1111/gean.12304.
B. Franch, E. Vermote, S. Skakun, A. Santamaria-Artigas, N. Kalecinski, J.-C. Roger, I. Becker-Reshef, B. Barker, C. Justice, J.A. Sobrino, The ARYA crop yield forecasting algorithm: Application to the main wheat exporting countries.International Journal of Applied Earth Observation and Geoinformation, Volume 104, 2021, 102552. https://doi.org/10.1016/j.jag.2021.102552 1-s2.0-S0303243421002592-main.pdf19.27 MB
Li, B., Liang, S., Liu, X., Ma, H., Chen, Y., Liang, T., & He, T. (2021). Estimation of all-sky 1 km land surface temperature over the conterminous United States. Remote Sensing of Environment, 266, 112707.