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    • Geospatial-Information Science and Remote Sensing
    • Human Dimensions of Global Change - Coupled Human and Natural Systems
    • Land Cover - Land Use Change
    • Carbon, Vegetation Dynamics and Landscape-Scale Processes
  • GIS
    • Center for Geospatial Information Science
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    • Faculty: A Historic Look
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Publications related to Land Cover - Land Use Change

Fjallsárlón, SE Iceland - May 2018
  • Note: Dr. Krishna Prasad Vadrevu's research was previously published as "V.K.Prasad" and "V.Krishna Prasad". Asterisk indicates student researcher.
  • Tian, P., H. Zhong, X. Chen, K. Feng, L. Sun, N. Zhang, X. Shao, Y. Liu, K. Hubacek. 2024. “Keeping the global consumption within planetary boundaries.” Nature (2022 IF: 50.5, 5 yr IF: 54.4), in press.
  • Zhong, H., Y. Li, J. Ding, B. Bruckner, K. Feng, L. Sun, C. Prell, Y. Shan, K. Hubacek. 2024. “Global spillover effects of the European Green Deal and plausible mitigation options.” Nature Sustainability (2022 IF: 25.7, 5 yr IF: 29.9).Published online 20 September 2024. https://doi.org/10.1038/s41893-024-01428-1. Global spillover effects of the EuropeanGreen Deal and plausible mitigation options_NatureSustainability2024.pdf5.17 MB
  • Meng, L, Z Tian, D Fan, F H M van de VEN, L Sun, Q Ye, S Sun, J Liu, L Nougues, D Rooze. 2024. A multi-objective optimization approach for harnessing rainwater in changing climate. Advances in Climate Change Research(2021 IF: 4.746). Available online 22 August 2024. https://doi.org/10.1016/j.accre.2024.08.006.
  • Sandler, Austin and Laixiang Sun. 2024. “The Socio-Environmental Determinants of Childhood Malnutrition: A Spatial and Hierarchical Analysis.” Nutrients (2022 IF: 5.719) 16, article no. 2014. https://doi.org/10.3390/nu16132014. The Socio-Environmental Determinants of Childhood Malnutrition A Spatial and Hierarchical Analysis__Nutrients-16-02014.pdf2.82 MB
  • Funes, J., L. Sun, T. Benson, F. Sedano, G. Baiocchi, E. Birol. 2024. Cultivating prosperity in Rwanda: The impact of high-yield biofortified bean seeds on farmers’ yield and income. Food Security (2022 IF = 6.7). Vol. 16, pp. 623–635. https://doi.org/10.1007/s12571-024-01449-w.
  • Wang, Y, K Feng, L Sun, Y Xie, X-P Song. 2024. Satellite-based soybean yield prediction in Argentina: a comparison between panel regression and deep learning methods. Computers and Electronics in Agriculture (2022 IF = 8.3). 221, article no. 108978.https://doi.org/10.1016/j.compag.2024.108978.
  • Shumilo, Leonid, and Sergii Skakun. "Optical Flow of Temperature Reveals Climate Change Patterns for Agriculture and Forestry." Remote Sensing Applications: Society and Environment (2024): 101198.
  • Vadrevu, K. and Eaturu, A., 2024. Trends in Nighttime Fires in South/Southeast Asian Countries. Atmosphere, 15(1), p.85.
  • Hall, J. V., Argueta, F., Zubkova, M., Chen, Y., Randerson, J. T., & Giglio, L. (2024). GloCAB: global cropland burned area from mid-2002 to 2020. Earth System Science Data, 16(2), 867-885. essd-16-867-2024.pdf6.58 MB
  • Liu, B., K. Feng, L. Sun, G. Baiocchi. 2024. Does interstate trade of agricultural products in the U.S. alleviate land and water stress? Journal of Environmental Management (2022 IF = 8.7). Vol. 354, article no. 120427. https://doi.org/10.1016/j.jenvman.2024.120427.
  • Vadrevu, K., Gutman, G., Tsuneo, M. and Justice, C., 2024. Land use changes, degradation, and impact on ecosystem services in Asia and Southeast Asia. Land Degradation & Development. 2024;35:919–922. https://doi.org/10.1002/ldr.4971
  • Shumilo, L., Skakun, S., Gore, M. L., Shelestov, A., Kussul, N., Hurtt, G., ... & Yarotskiy, V. (2023). Conservation policies and management in the Ukrainian Emerald Network have maintained reforestation rate despite the war. Communications Earth & Enviro
  • Shumilo, Leonid, Anton Okhrimenko, Nataliia Kussul, Sofiia Drozd, and Oleh Shkalikov. "Generative adversarial network augmentation for solving the training data imbalance problem in crop classification." Remote Sensing Letters 14, no. 11 (2023): 1131-1140
  • Qadir, A., Skakun, S., Eun, J., Prashnani, M., Shumilo, L. (2023). Sentinel-1 time series data for sunflower (Helianthus annuus) phenology monitoring. Remote Sensing of Environment, 295, art. num. 113689.
  • Tanaka, T., L. Sun*, I. Becker-Reshef, X.-P. Song, E. Puricelli. 2023. Satellite forecasting of crop harvest can trigger a cross-hemispheric production response and improve global food security. Communications Earth & Environment (2022 IF: 7.9). Vol. 4, article no. 334. https://doi.org/10.1038/s43247-023-00992-2 Satellite forecasting of crop harvest can trigger a cross-hemispheric production response_CommEarth&Env2023.pdf494.66 KB
  • Duncan, E. C., Skakun, S., Kariryaa, A., & Prishchepov, A. V. (2023). Detection and mapping of artillery craters with very high spatial resolution satellite imagery and deep learning. Science of Remote Sensing, 7, art. num. 100092.
  • Vadrevu, K.P., Ohara, T. and Justice, C. eds., 2023. Vegetation Fires and Pollution in Asia. Book Publication. Springer Nature.
  • Xin, Yu, Laixiang Sun*, Matthew Hansen. 2023. Land-cover and land-use change trajectory hopping facilitates estate-crop expansion into protected forests in Indonesia. Conservation Letters (2022 IF: 8.5). 16 (4), article no. e12957.https://doi.org/10.1111/conl.12957 Land‐cover and land‐use change trajectory hopping facilitates estate‐crop expansion_ConservationLetters2023.pdf1.57 MB
  • Mullen, A. L., Watts, J. D., Rogers, B. M., Carroll, M. L., Elder, C. D., Noomah, J., ... & Kyzivat, E. D. (2023). Using High‐Resolution Satellite Imagery and Deep Learning to Track Dynamic Seasonality in Small Water Bodies.Geophysical Research Letters, 50(7), e2022GL102327.
  • Liang, Z., L. Sun*, Z. Tian, G. Fischer, H. Yan. 2023. Increase in grain production potential of China under climate change. Proceedings of the National Academy of Sciences of the USA (PNAS) Nexus. Vol. 2, Issue 3, pp. 1-10. https://doi.org/10.1093/pnasnexus/pgad057. Increase in grain production potential of China under climate change_PNAS Nexus2023.pdf2.74 MB
  • Meng, Z. et al. Post-2020 biodiversity framework challenged by cropland expansion in protected areas. Nat Sustain (2023). https://doi.org/10.1038/s41893-023-01093-w
  • Nakalembe, Catherine, and Hannah R. Kerner. "Considerations for AI-EO for agriculture in Sub-Saharan Africa." Environmental Research Letters (2023). Nakalembe_2023_Environ._Res._Lett._18_041002.pdf1.73 MB
  • Tucker, C., Brandt, M., Hiernaux, P. et al. Sub-continental-scale carbon stocks of individual trees in African drylands. Nature 615, 80–86 (2023). https://doi.org/10.1038/s41586-022-05653-6
  • 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

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