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Publications

2025

Note: Dr.Vadrevu's research was previously published as "V.K.Prasad" and "V.Krishna Prasad". Asterisk indicates student researcher.

2017

Wang, P.; Huang, C.; Brown de Colstoun, E.C. Mapping 2000–2010 Impervious Surface Change in India Using Global Land Survey Landsat Data. Remote Sens. 2017, 9, 366.
Bandaru, V., Y. Pei, Q. Hart, and B.M. Jenkins. 2017. Impact of biases in gridded weather datasets on biomass estimates of short rotation woody cropping systems. Agricultural and Forest Meteorology, 233: 71-79
Carroll, M. L., Brown, M. E., Wooten, M. R., Donham, J. E., Hubbard, A. B., and Ridenhour, W. B.: In situ air temperature and humidity measurements over diverse land covers in Greenbelt, Maryland, November 2013–November 2015, Earth System Science Data, 8,
Carroll, Mark L., and Tatiana V. Loboda. 2017. Multi-Decadal Surface Water Dynamics in North American Tundra. Remote Sensing 9(5) 497-512. doi: 10.3390/rs9050497
Dedi Yang, Jin Chen, Yuan Zhou, Xiang Chen, Xuehong Chen, Xin Cao. 2017. Mapping plastic greenhouse with medium spatial resolution satellite data: Development of a new spectral index. ISPRS Journal of Photogrammetry and Remote Sensing 128:47-60.
Dongdong Wang, Shunlin Liang, Yuan Zhou, Tao He, Yunyue Yu. 2017. A new method for retrieving daily albedo from VIIRS data. IEEE Transactions on Geoscience and Remote Sensing, 55(3): 1765-1775.
Fan, Dongli, Qiuying Ding, Zhan Tian, Laixiang Sun, Guenther Fischer. 2017. A Cross-scale Model Coupling Approach to Simulate the Risk-reduction Effect of Natural Adaptation on Soybean Production under Climate Change. Human and Ecological Risk Assessment: An International Journal (2015 IF: 1.306), Vol. 23, No. 3, pp. 426–440. DOI: 10.1080/10807039.2016.1221308.
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. vol. 14, no. 5, pp. 778-782.doi:10.1109/LGRS.2017.2681128. http://doi.org/10.1109/LGRS.2017.2681128
L. Olivera – Guerra, C. Mattar, O. Merlin, C. Durán – Alarcón, A. Santamaría – Artigas, R. Fuster. 2017. An operational method for the disaggregation of land surface temperature to estimate actual evapotranspiration in the arid region of Chile. ISPRS JPRS ISPRS Journal of Photogrammetry and Remote Sensing. 128, 170-181. http://doi.org/10.1016/j.isprsjprs.2017.03.014
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. In Press.
Li, Xiaoying and Laixiang Sun. 2017. “How Do Sub-national Institutional Constraints Impact Foreign Firm Performance?” International Business Review (2015 IF: 1.669, 5-yr IF: 2.307), vol. 26, no. 3, pp. 555–565. http://dx.doi.org/10.1016/j.ibusrev.2016.11.004.
Loboda, T., Krankina, O., Savin, I., Kurbanov, E., & Hall, J. (2017). Land Management and the Impact of the 2010 Extreme Drought Event on the Agricultural and Ecological Systems of European Russia.In G. Gutman & V. Radeloff (Eds.), Land-Cover and Land-Use Changes in Eastern Europe after the Collapse of the Soviet Union in 1991 (pp. 173-192). Cham: Springer International Publishing
Loboda, T., Krankina, O., Savin, I., Kurbanov, E., & Hall, J. (2017). Land Management and the Impact of the 2010 Extreme Drought Event on the Agricultural and Ecological Systems of European Russia. In G. Gutman & V. Radeloff (Eds.), Land-Cover and Land-Use Changes in Eastern Europe after the Collapse of the Soviet Union in 1991 (pp. 173-192). Cham: Springer International Publishing
Marselis, S. M., Feng, K., Liu, Y., Teodoro, J. D., & Hubacek, K. (2017). Agricultural land displacement and undernourishment. Journal of Cleaner Production 161 (619-628).
Morrow, Nathan, and Apollo M. Nkwake. "Assumption-aware tools and agency; an interrogation of the primary artifacts of the program evaluation and design profession in working with complex evaluands and complex contexts." Evaluation and Program Planning 59

assumpt_tools.pdf
Morrow, Nathan, et al. "Knowing Just in Time: Use cases for mobile surveys in the humanitarian world." Procedia Engineering 159 (2016): 210-216.

humtech2016_morrow-1.pdf
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.
Noojipady P, Morton C D, Macedo N M, Victoria C D, Huang C, Gibbs K H and Bolfe L E 2017 Forest carbon emissions from cropland expansion in the Brazilian Cerrado biome Environmental Research Letters 12 025004

noojipady_2017_environ._res._lett._12_025004.pdf
Prell, Christina, Laixiang Sun, Kuishuang Feng, Klaus Hubacek. 2017. “Uncovering the Spatially Distant Feedback Loops of Global Trade: A Network and Input-Output Approach.” Science of the Total Environment (2015 IF: 3.976; 5-year IF: 4.317), published online on 22 February 2017. http://dx.doi.org/10.1016/j.scitotenv.2016.11.202.
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.pdf
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. 14(5), 778–782. doi:10.1080/22797254.2017.1324743. URL http://dx.doi.org/10.1080/22797254.2017.1324743

biophysical_parameters_mapping_within_the_spot_5_take_5_initiative.pdf
Shuman, J.K., A.C. Foster, H.H. Shugart, A. Hoffman-Hall, T. Loboda, Dmitry Ershov, and Elena Sochilova. 2017. Fire Disturbance and Climate Change: Implications for Russian Forests. Environmental Research Letters, 12, 3.https://doi.org/10.1088/1748-9326/aa5eed
Skakun S. , Roger J.-C. , Vermote E.F. , Masek J.G. & Justice C.O. (2017):Automatic sub-pixel co-registration of Landsat-8 Operational Land Imager and Sentinel-2A Multi-Spectral Instrument images using phase correlation and machine learning based mapping. International Journal of Digital Earth, doi:10.1080/17538947.2017.1304586
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. doi:10.1016/j.rse.2017.04.026

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