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

Kerner, H. R., Sahajpal, R., Pai, D. B., Skakun, S., Puricelli, E., Hosseini, M., ... & Becker-Reshef, I. (2022). Phenological normalization can improve in-season classification of maize and soybean: A case study in the central US Corn Belt.Science of Remote Sensing, 6, art. num. 100059.
Prudente, V.H.R., Skakun, S., Oldoni, L.V., Xaud, H.A., Xaud, M.R., Adami, M., & Sanches, I.D.A. (2022). Multisensor approach to land use and land cover mapping in Brazilian Amazon. ISPRS Journal of Photogrammetry and Remote Sensing, 189, 95–109.
Yao Li, Kathleen Stewart, Kay Thwe Han, Zay Yar Han, Poe P Aung, Zaw W Thein, Thura Htay, Dong Chen, Myaing M Nyunt, Christopher V Plowe, Understanding spatio-temporal human mobility patterns for malaria control using a multi-agent mobility simulation model, Clinical Infectious Diseases, 2022;, ciac568, https://doi.org/10.1093/cid/ciac568
Franch, B., Cintas, J., Becker-Reshef, I., Sanchez-Torres, M. J., Roger, J., Skakun, S., Sobrino, J. A., Van Tricht, K., Degerickx, J., Gilliams, S., Koetz, B., Szantoi, Z., & Whitcraft, A. (2022).Global crop calendars of maize and wheat in the framework of the WorldCereal project. GIScience & Remote Sensing, 59(1), 885–913.
Gong, W., Huang, C., Houghton, R.A., Nassikas, A., Zhao, F., Tao, X., Lu, J., & Schleeweis, K. (2022). Carbon fluxes from contemporary forest disturbances in North Carolina evaluated using a grid-based carbon accounting model and fine resolution remote sensing products. Science of Remote Sensing, Vol. 5. DOI: 10.1016/j.srs.2022.100042
Jia, A., Liang, S., & Wang, D. (2022). Generating a 2-km, all-sky, hourly land surface temperature product from Advanced Baseline Imager data. Remote Sensing of Environment. 278. 113105. https://doi.org/10.1016/j.rse.2022.113105
Skakun, S., Wevers, J., Brockmann, C., Doxani, G., Aleksandrov, M., Batič, M., Frantz, D., Gascon, F., Gómez-Chova, L., Hagolle, O., López-Puigdollers, D., Louis, J., Lubej, M., Mateo-García, G., Osman, J., Peressutti, D., Pflug, B., Puc, J., Richter, Roger, J.-C., Scaramuzza, P., Vermote, E., Vesel, N., Zupanc, A., Žust, L. (2022). Cloud Mask Intercomparison eXercise (CMIX): An evaluation of cloud masking algorithms for Landsat 8 and Sentinel-2. Remote Sensing of Environment, 274, art. num. 112990.
Tian, Z., X. Lyu, H. Zou, H. Yang, L. Sun3, M. S. Pinya, Q. Chao, A. Feng, B. Smith. 2022. Advancing index-based climate risk assessment to facilitate adaptation planning: Application in Shanghai and Shenzhen, China. Advances in Climate Change Research (2020 IF: 4.13). Vol. 13, Issue 3, pp. 432-442. https://doi.org/10.1016/j.accre.2022.02.003. Advancing index-based climate risk assessment to facilitate adaptation planning_AdvanceClimateChangeResearch2022.pdf1.29 MB
Zhang, Y., Skakun, S., Adegbenro, M.O., & Ying, Q. (2022). Leveraging the use of labeled benchmark datasets for urban area change mapping and area estimation: a case study of the Washington DC–Baltimore region. International Journal of Digital Earth.https://doi.org/10.1080/17538947.2022.2094001
Nakalembe, C., Zubkova, M., Hall, J. V., Argueta, F., & Giglio, L. (2022). Impacts of large-scale refugee resettlement on LCLUC: Bidi Bidi refugee settlement, Uganda case study. Environmental Research Letters, 17(6), 064019. Nakalembe_2022_Environ._Res._Lett._17_064019.pdf9.23 MB
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
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