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

Vadrevu, K.P. and Ohara, T., 2020. Focus on land use cover changes and environmental impacts in South/Southeast Asia. Environmental Research Letters, 15(10), p.100201.
Vadrevu, K.P., Eaturu, A., Biswas, S., Lasko, K., Sahu, S., Garg, J.K. and Justice, C., 2020. Spatial and temporal variations of air pollution over 41 cities of India during the COVID-19 lockdown period. Scientific reports.10(1)1-15.
Vadrevu, K.P., Garg, J., and Wynne, R. 2020. Summary of the 2019 SARI sustainable forestry in South Asia meeting. 32(5)21-26
Brandt, M., Tucker, C.J., Kariryaa, A. et al. An unexpectedly large count of trees in the West African Sahara and Sahel. Nature (2020). https://doi.org/10.1038/s41586-020-2824-5 An unexpectedly large count of trees in the West African Sahara and Sahel_0.pdf12.54 MB
Eigenbrod, F., Beckmann, M., Dunnett, S., Graham, L., Holland, R.A., Meyfroidt, P., Seppelt, R., Song, X.P., Spake, R., Vaclavik, T., & Verburg, P.H. (2020). Identifying Agricultural Frontiers for Modeling Global Cropland Expansion. One Earth, 3, 504-514Link to article: https://www.sciencedirect.com/science/article/pii/S2590332220304759
Huang, N., Wang, L., Song, X.-P., Black, T.A., Jassal, R.S., Myneni, R.B., (2020). Spatial and temporal variations in global soil respiration and their relationships with climate and land cover. Science Advances, 6, eabb8508Link to article: https://www.science.org/doi/10.1126/sciadv.abb8508
Nakalembe, C. (2020). Urgent and critical need for Sub-Saharan African countries to invest in Earth observation-based agricultural early warning and monitoring systems. Environmental Research Letters. https://doi.org/10.1088/1748-9326/abc0bb
Nakalembe, C. (2020). Urgent and critical need for Sub-Saharan African countries to invest in Earth observation-based agricultural early warning and monitoring systems. Environmental Research Letters. https://doi.org/10.1088/1748-9326/abc0bb Nakalembe_2020_Environ._Res._Lett._10.1088_1748-9326_abc0bb.pdf807.49 KB
Vermote, E.F.; Skakun, S.; Becker-Reshef, I.; Saito, K. Remote Sensing of Coconut Trees in Tonga Using Very High Spatial Resolution WorldView-3 Data. Remote Sens. 2020, 12, 3113.
Zhou, H., J. Yan, K. Lei, W. Ya, L. Sun. 2020 . “Labor migration and the decoupling of the crop-livestock system in a rural mountainous area: Evidence from Chongqing, China.” Land Use Policy (2019 IF: 3.682; 5-yr IF: 4.151). Vol. 99, article no. 105088.https://doi.org/10.1016/j.landusepol.2020.105088.
Yaramasua, R., Bandaru, V., PNVR, K. (2020). Pre-season crop type mapping using deep neural networks. Computers and Electronics in Agriculture. (176). https://doi.org/10.1016/j.compag.2020.105664
Kumar, I., V. Bandaru, S. Yampracha, L. Sun, B. Fungtammasan. 2020. “Limiting Rice and Sugarcane Residue Burning in Thailand: Current Status, Challenges and Strategies.” Journal of Environmental Management (IF = 5.647; 5-yr IF: 5.708), Vol. 276, article no. 111228. https://doi.org/10.1016/j.jenvman.2020.111228.
Giglio, L., and Roy, D. P., 2020, On the outstanding need for a long-term, multi-decadal, validated and quality assessed record of global burned area: Caution in the use of Advanced Very High Resolution Radiometer data. Science of Remote Sensing, 2, 100007. Giglio2020_SRS.pdf2.7 MB
Ma, L., Hurtt, G. C., Chini, L. P., Sahajpal, R., Pongratz, J., Frolking, S., Stehfest, E., Klein Goldewijk, K., O'Leary, D., and Doelman, J. C.: Global rules for translating land-use change (LUH2) to land-cover change for CMIP6 using GLM2Geosci. Model Dev., 13, 3203–3220, https://doi.org/10.5194/gmd-13-3203-2020, 2020. gmd-13-3203-2020_0.pdf6.39 MB
Forkuor, G., Zoungrana, J.B.B., Dimobe, K., Ouattara, B., Vadrevu, K.P. and Tondoh, J.E., 2020. Above-ground biomass mapping in West African dryland forest using Sentinel-1 and 2 datasets-A case study. Remote Sensing of Environment, 236, p.111496.
Huang, Y., Z. Tian, Q. Ke, J. Liu, M. Irannezhad, D. Fan, M. Hou, L. Sun. 2020. “Nature-Based Solutions for Urban Pluvial Flood Risk Management.” WIREs Water (2018 IF: 4.436), 7(3), Cover Paper, e1421, pp. 1-17. WIREsWater cover May 2020.pdf17.6 MB
Pickens, A.H., Hansen, M.C., Hancher, M., Stehman, S.V., Tyukavina, A., Potapov, P., Marroquin, B., Sherani, Z., 2020. Mapping and sampling to characterize global inland water dynamics from 1999 to 2018 with full Landsat time-series. Remote Sensing of Environment 243, 111792. https://doi.org/10.1016/j.rse.2020.111792 globalWaterPickens.pdf3.84 MB
Stubbs, Q., Yeo, I.-Y., Lang, M., Townshend, J., Sun, L., Prestegaard, K., Jantz, C., 2020. Assessment of wetland change on the Delmarva Peninsula from 1984 to 2010. Journal of Coastal Research (IF = 1.053), vol. 36, no. 3, pp. 575–589.DOI: 10.2112/JCOASTRES-D-16-00038.1.
Tian, Z., H. Xu, L. Sun, et al. 2020. “Using a cross-scale simulation tool to assess future maize production under multiple climate change scenarios: An application to the Northeast Farming Region of China.” Climate Services (2020 IF: 5.656). Vol. 18,article no. 100150, pp. 1-9. https://doi.org/10.1016/j.cliser.2020.100150. Using a cross-scale simulation tool to assess future maize production under multiple climate change scenarios in Northeast China_ClimateServices2020.pdf1.91 MB
Fan, D., H. Zhong, B. Hu, Z. Tian, L. Sun, G. Fischer, X. Wang, Z. Jiang. 2020. “Agro-Ecological Suitability Assessment of Chinese Medicinal Yam under Future Climate Change.” Environmental Geochemistry and Health (2019 IF: 3.472). 42 (3), 987-1000,Open-access publication on 15 Oct 2019. https://doi.org/10.1007/s10653-019-00437-w. Agro-Ecological Suitability Assessment of Chinese Medicinal Yam under Future Climate Change_EGH2020.pdf1.88 MB
Hansen, M.C., Wang, L., Song, X.-P., Tyukavina, A., Turubanova, S., Potapov, P.V., & Stehman, S.V. (2020). The fate of tropical forest fragments. Science Advances, 6, eaax8574Link to article: https://www.science.org/doi/10.1126/sciadv.aax8574
He J, Loboda TV, Jenkins L, Chen D. (2020). ABoVE: Distribution Maps of Wildland Fire Fuel Components across Alaskan Tundra, 2015. ORNL DAAC, Oak Ridge, Tennessee, USA.
Peter Potapov, Matthew C Hansen, Indrani Kommareddy, Anil Kommareddy, Svetlana Turubanova, Amy Pickens, Bernard Adusei, Alexandra Tyukavina, Qing Ying, 2020. Landsat Analysis Ready Data for Global Land Cover and Land Cover Change Mapping. Remote Sensing12(3)
Shen W, Mao X, He J, Dong J, Huang C, Li M. (2020) Understanding Current and Future Fragmentation Dynamics of Urban Forest Cover in the Nanjing Laoshan Region of Jiangsu, China. Remote Sens. 2020, 12, 155.
Tong, X., Brandt, M., Yue, Y., Ciais, P., Rudbeck Jepsen, M., Penuelas, J., Wigneron, J.P., Xiao, X., Song, X.P.. (2020). Forest management in southern China generates short term extensive carbon sequestration. Nat Commun, 11, 129 Link to article: https://www.nature.com/articles/s41467-019-13798-8