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

Zubkova, M., Humber, M., Giglio, L. 2023. Is global fire activity declining due to cropland expansion? How much do we know based on remotely sensed data? Int. J. Remote Sens., 44, 4. Is global burned area declining due to cropland expansion How much do we know based on remotely sensed data.pdf2.64 MB
Doxani, G., Vermote, E. F., Roger, J. C., Skakun, S., Gascon, F., Collison, A., ... & Yin, F. (2023). Atmospheric Correction Inter-comparison eXercise, ACIX-II Land: An assessment of atmospheric correction processors for Landsat 8 and Sentinel-2over land. Remote Sensing of Environment, 285, art. num. 113412.
Jia, A., et al.: Global hourly, 5 km, all-sky land surface temperature data from 2011 to 2021 based on integrating geostationary and polar-orbiting satellite data, Earth Syst. Sci. Data, 15, 869–895, https://doi.org/10.5194/essd-15-869-2023, 2023.
Memarsadeghi, Natalie, Kathleen Stewart, Yao Li, Siriporn Sornsakrin, Nichaphat Uthaimongkol, Worachet Kuntawunginn, Kingkan Pidtana et al. "Understanding work-related travel and its relation to malaria occurrence in Thailand using geospatial maximum entropy modelling." Malaria Journal 22, no. 1 (2023): 1-11.
Xu, Xin, Federico Iuricich, Kim Calders, John Armston, and Leila De Floriani. "Topology-based individual tree segmentation for automated processing of terrestrial laser scanning point clouds." International Journal of Applied Earth Observation and Geoinformation 116 (2023): 103145.
Caraballo-Vega, J. A., Carroll, M. L., Neigh, C. S. R., Wooten, M., Lee, B., Weis, A., ... & Williams, Z. (2023). Optimizing WorldView-2,-3 cloud masking using machine learning approaches. Remote Sensing of Environment, 284, 113332.
Vadrevu, K.P., 2023. Fractal analysis revealed persistent correlations in long-term vegetation fire data in most South and Southeast Asian countries. Environmental Research Communications. DOI 10.1088/2515-7620/acb041
Xu, Xin, Federico Iuricich, and Leila De Floriani. "A topology-based approach to individual tree segmentation from airborne LiDAR data." GeoInformatica (2023): 1-30.
Vadrevu, K., Eaturu, A., Casadaban, E., Lasko, K., Schroeder, W., Biswas, S., Giglio, L. and Justice, C. 2022.Spatial variations in vegetation fires and emissions in South and Southeast Asia during COVID-19 and pre-pandemic. Scientific Reports, 12(1)1-2112(1), pp.1-21.
Song, X.-P., Li, H., Potapov, P., & Hansen, M.C. (2022). Annual 30 m soybean yield mapping in Brazil using long-term satellite observations, climate data and machine learning. Agricultural and Forest Meteorology, 326, 109186View the full article: https://authors.elsevier.com/a/1fqeQcFXJcsCK
Xu, Xin. "An unsupervised building footprints delineation approach for large-scale LiDAR point clouds." In Proceedings of the 30th International Conference on Advances in Geographic Information Systems, pp. 1-4. 2022.
Abys, C., Skakun, S., & Becker-Reshef, I. (2022). The Rise and Volatility of Russian Winter Wheat Production. Environmental Research Communications, 4(10), art. num. 101003.
Duncan, K., & Farrell, S. L. (2022). Determining variability in Arctic sea ice pressure ridge topography with ICESat-2. Geophysical Research Letters, 49, e2022GL100272. https://doi.org/10.1029/2022GL100272
Eun, J., & Skakun, S. (2022). Characterizing land use with night-time imagery: the war in Eastern Ukraine (2012–2016). Environmental Research Letters, 17, art. num. 095006.
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
Zubkova, M.; Boschetti, L.; Abatzoglou, J.; Giglio, L. 2022. Fire regions as environmental niches: a new paradigm to define potential fire regimes in Africa and Australia. JGR Biogeosciences. JGR Biogeosciences - 2022 - Zubkova - Fire Regions as Environmental Niches A New Paradigm to Define Potential Fire Regimes.pdf3.97 MB
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
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.
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