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

Note: Dr. Krishna Prasad Vadrevu's research was previously published as "V.K.Prasad" and "V.Krishna Prasad". Asterisk indicates student researcher.
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.
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.
Funes, J., L. Sun, T. Benson, F. Sedano, G. Baiocchi. 2022. Social Interaction and Geographic Diffusion of Iron Biofortified Beans in Rwanda. Agricultural Economics (2020 IF: 2.585). Published online 14 June 2022. https://doi.org/10.1111/agec.12722. Agricultural Economics-2022-Social interaction and geographic diffusion of iron‐biofortified beans in Rwanda.pdf1.12 MB
Khan. I.M.P., K. Hubacek, K. L. Brubaker, L. Sun, G. Moglen. 2022. Stormwater management adaptation pathways under climate change and urbanization. Journal of Sustainable Water in the Built Environment (2020 IF: 1.78). 8(4): 04022009. DOI: 10.1061/JSWBAY.0000992 Khan et al-Stormwater Management Adaptation Pathways-2022.pdf2.26 MB
Kumar, I., K. Feng, L. Sun, V. Bandaru. 2022. Adoption of biomass for electricity generation in Thailand: Implications for energy security, employment, environment, and land use change. Renewable Energy (2020 IF: 8.001). Available online 5 June 2022. https://doi.org/10.1016/j.renene.2022.05.162.
Lu, J., Huang, C., Tao, X., Gong, W., & Schleeweis, K. (2022). Annual forest disturbance intensity mapped using Landsat time series and field inventory data for the conterminous United States (1986–2015). Remote Sensing of Environment, 275, 113003.
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
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.
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.
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
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
Shumilo L, Lavreniuk M, Skakun S, Kussul N. Is Soil Bonitet an Adequate Indicator for Agricultural Land Appraisal in Ukraine? Sustainability. 2021; 13(21):12096. https://doi.org/10.3390/su132112096
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
Fan, D., Y. Fan, Z. Tian, X. Li, M. Jiang, L. Sun, et al. 2021. A vital option for food security and greenhouse gases mitigation: planting elite super rice in double-to single-rice cropping fields in China. Environmental Research Letters.(2020 IF: 6.793). Vol. 16, article no. 094038. https://doi.org/10.1088/1748-9326/ac1e3e. Fan_2021_Environ._Res._Lett._16_094038.pdf2.52 MB
Resop, J.P.; Lehmann, L.; Hession, W.C. Quantifying the Spatial Variability of Annual and Seasonal Changes in Riverscape Vegetation Using Drone Laser Scanning. Drones 2021, 5, 91.https://doi.org/10.3390/drones5030091 resop2021_drones.pdf8.37 MB
Phosri, K., Tantipisanuh, N., Chutipong, W., Gore, M.L., Giordano, A.J. and Ngoprasert, D., 2021. Fishing cats in an anthropogenic landscape: A multi-method assessment of local population status and threats. Global Ecology and Conservation, 27, p.e01615.
Fan, D., Z. Jiang, Z. Tian, G. Dong, L. Sun. 2021. The effects of climate change on Chinese Medicinal Yam over North China under the high-resolution PRECIS projection. Earth and Space Science (2020 IF = 2.90), 8 (8), e2021EA001804. https://doi.org/10.1029/2021EA001804. The Effects of Climate Change on Chinese Medicinal Yam Over North China_ESS2021.pdf4.31 MB
Hall, J.V., Argueta, F., & Giglio, L., (2021). Validation of MCD64A1 and FireCCI51 cropland burned area mapping in Ukraine. International Journal of Applied Earth Observation and Geoinformation, 102. 1-s2.0-S0303243421001501-main.pdf7.32 MB
Ke, Q, J Yin, J D Bricker, N Savage, E Buonomo, Q Ye, P Visser, G Dong, S Wang, Z Tian, L Sun, R Toumi, S N Jonkman. 2021. An integrated framework of coastal flood modelling under the failures of sea dikes: a case study in Shanghai. Natural Hazards (IF: 3.102; 5-yr IF: 3.656), Vol. 109, pp. 671–703. https://doi.org/10.1007/s11069-021-04853-z. An integrated framework of coastal food modelling under the failure of sea dikes_Natural Hazards2021.pdf15.48 MB
Vadrevu, K.P., Ohara, T. and Justice, C. eds., 2021. Biomass Burning in South and Southeast Asia: Impacts on the Biosphere, Volume Two. CRC Press. https://www.routledge.com/Biomass-Burning-in-South-and-Southeast-Asia-Impacts-on-the-Biosphere-Volume/Vadrevu-Ohara-Justice/p/book/9780367076047