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

Nakalembe, C.; Dempewolf, J.; Justice, C. Agricultural land use change in Karamoja region, Uganda. Land Use Policy 2017, 62, 2–12
Hall, J. V., & Loboda, T. (2017). Quantifying the potential for low-level transport of black carbon emissions from cropland burning in Russia to the snow-covered Arctic. Frontiers in Earth Science, 5, 109.
Krishna Prasad Vadrevu and Chris Justice. 2017. Summary of the 2017 South/Southeast Asia Research Initiative Agricultural Workshop. The Earth Observer. 29(5)44-48.
Krishna Prasad Vadrevu, Chris Justice, and Garik Gutman. 2017. Summary of the 2017 LCLUC-SARI International Science Meeting. The Earth Observer. 29(6)40-47.
Krishna Prasad Vadrevu, Rama Nemani, Chris Justice and Garik Gutman (Eds). 2017. Mapping, Monitoring and Impact Assessment of Land Cover/Land Use Changes in South and South East Asia. Remote Sensing (MDPI) Special Issue. (ISSN 2072-4292).
Kussul N., Lavreniuk M., Skakun S., Shelestov A. (May, 2017) Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data. IEEE Geoscience and Remote Sensing Letters, 14(5), 778–782.
Lasko K, Vadrevu KP, Tran VT, Ellicott E, Nguyen TTN, Bui HQ, Justice C. 2017. Satellites may underestimate rice residue and associated burning emissions in Vietnam. Environmental Research Letters, 12(8), 085006.
Li, Y., Sulla-Menashe, D., Motesharrei, S., Song, X.-P., Kalnay, E., Ying, Q., Li, S., Ma, Z., 2017. Inconsistent estimates of forest cover change in China between 2000 and 2013 from multiple datasets: differences in parameters, spatial resolution,
Loboda, T.V., and J.V. Hall. 2017. ABoVE: Wildfire Date of Burning within Fire Scars across Alaska and Canada, 2001-2015. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1559
Loboda, T.V., J.V. Hall, A.H. Hall, and V.S. Shevade. 2017. ABoVE: Cumulative Annual Burned Area, Circumpolar High Northern Latitudes, 2001-2015. ORNL DAAC, Oak Ridge, Tennessee, USA.
Man, C.D., Nguyen, T.T., Bui, H.Q., Lasko, K., Nguyen, T.T.N. 2017. Improvement of Land Cover Classification over Frequently Cloud- covered Areas using Landsat 8 Time Series Composites and an Ensemble of Supervised Classifiers.
Molinario G, Hansen M C, Potapov P V, Tyukavina A, Stehman S, Barker B and Humber M 2017 Quantification of land cover and land use within the rural complex of the Democratic Republic of Congo Environ. Res. Lett. 12 104001
Nackoney, J., J. Hickey, D. Williams, C. Facheux, T. Furuichi, and J. Dupain. (2017). Geospatial information informs bonobo conservation efforts. In: B. Hare and S. Yamamoto (eds.), Bonobos: Unique in Mind, Brain and Behavior (pp. 251-265). Oxford, U.K.: Oxford University Press. ISBN: 9780198728511. DOI: 10.1093/oso/9780198728511.003.0017.
Nakalembe, C., Dempewolf, J., & Justice, C. (2017). Agricultural land use change in Karamoja Region , Uganda. Land Use Policy, 62 , 2{12. URL: http://dx.doi.org/10.1016/j.landusepol.2016.11.029. doi:10.1016/j.landusepol.2016.11.029.
O'Leary III, D., D.K. Hall, M. Medler, R. Matthews, and A. Flower. 2017. Snowmelt Timing Maps Derived from MODIS for North America, 2001-2015. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1504
O’Leary, D.S., Kellermann, J.L. & Wayne, C. Int J Biometeorol (2017). https://doi.org/10.1007/s00484-017-1449-3
Shelestov A, Lavreniuk M, Kussul N, Novikov A and Skakun S (2017) Exploring Google Earth Engine Platform for Big Data Processing: Classification of Multi-Temporal Satellite Imagery for Crop Mapping. Front. Earth Sci. 5:17. doi: 10.3389/feart.2017.00017 feart-05-00017-compressed.pdf675.71 KB
Shelestov, A., Kolotii, A., Skakun, S., Baruth, B., Lopez-Lozano, R., Yailymov, B. (2017). Biophysical parameters mapping within the SPOT-5 Take 5 initiative. European Journal of Remote Sensing, 50(1), 300–309. biophysical_parameters_mapping_within_the_spot_5_take_5_initiative.pdf2.08 MB
Skakun, S., Franch, B., Vermote, E., Roger, J.-C. Becker-Reshef, I., Justice, C., Kussul, N. (2017). Early season large-area winter crop mapping using MODIS NDVI data, growing degree days information and a Gaussian mixture model.Remote Sensing of Environment, 195, 244–258.
Skakun, S., Vermote, E., Roger, J.-C., & Franch, B. (2017). Combined Use of Landsat-8 and Sentinel-2A Images for Winter Crop Mapping and Winter Wheat Yield Assessment at Regional Scale. AIMS Geosciences, 3(2), 163–186. skakun_et_al_2017_cropyield_aims_geosci.pdf6.1 MB
Song, X.P., Potapov, P.V., Krylov, A., King, L., Di Bella, C.M., Hudson, A., Khan, A., Adusei, B., Stehman, S.V. and Hansen, M.C., 2017. National-scale soybean mapping and area estimation in the United States using medium resolution satellite imagery and
Vadrevu, K., Ohara, T. and Justice, C., 2017. Land cover, land use changes and air pollution in Asia: a synthesis. Environmental Research Letters, 12(12), p.120201
Ying, Q., Hansen, M.C., Potapov, P. V., Tyukavina, A., Wang, L., Stehman, S. V., Moore, R., Hancher, M., 2017. Global bare ground gain from 2000 to 2012 using Landsat imagery. Remote Sens. Environ. 194, 161–176. doi:10.1016/j.rse.2017.03.022
Zhong, H., L. Sun, G. Fischer, Z. Tian, H. v. Velthuizen, Z. Liang. 2017. “Mission Impossible? Maintaining regional grain production level and recovering local groundwater table by cropping system adaptation across the North China Plain.” Agricultural Water Management (2018 IF: 3.542; 5-yr IF: 3.834), Vol. 193, pp. 1-12. https://doi.org/10.1016/j.agwat.2017.07.014.
Cooper, M., & West, C. T. (2016). Unraveling the Sikasso Paradox: Agricultural Change and Malnutrition in Sikasso, Mali. Ecology of Food and Nutrition, 56(2), 101-123. 2017 Cooper - Unraveling the Sikasso Paradox Agricultural Change and Malnutrition in Sikasso Mali.pdf1.52 MB