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.
Traldi, Rebecca. 2021. “Progress and Pitfalls: A Systematic Review of the Evidence for Agricultural Sustainability Standards.” Ecological Indicators 125 (June): 107490. https://doi.org/10.1016/j.ecolind.2021.107490.
Huang, X., Reba, M., Coffin, A., Runkle, B. R., Huang, Y., Chapman, B., Ziniti, B., Skakun, S., Kraatz, S., Siqueira, P., & Torbick, N. (2021). Cropland mapping with L-band UAVSAR and development of NISAR products. Remote Sensing of Environment, 253, art. num. 112180.
Skakun, S., Kalecinski, N.I., Brown, M.G.L., Johnson, D.M., Vermote, E.F., Roger, J.-C., & Franch, B. (2021). Assessing within-Field Corn and Soybean Yield Variability from WorldView-3, Planet, Sentinel-2, and Landsat 8 Satellite Imagery.Remote Sensing, 13, art. num. 872.
Thieme, A., Glennie, E., Oddo, P., McCartney, S., Ruid, M., & Anand, A. (2020). Application of Remote Sensing for Ex ante Decision Support and Evaluating Impact. American Journal of Evaluation, 109821402096257. https://doi.org/10.1177/1098214020962579
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
Xin, Yu, Laixiang Sun, Matt Hansen. 2021. “Biophysical and socioeconomic drivers of oil palm expansion in Indonesia.” Environmental Research Letters (2019 IF: 6.096), online 27 Nov 2020, https://doi.org/10.1088/1748-9326/abce83. Xin+et+al_2020_Environ._Res._Lett._10.1088_1748-9326_abce83.pdf1.01 MB
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
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
Thieme, A., Yadav, S., Oddo, P. C., Fitz, J. M., McCartney, S., King, L., ... & Hively, W. D. (2020). Using NASA Earth observations and Google Earth Engine to map winter cover crop conservation performance in the Chesapeake Bay watershed. Remote Sensing of Environment, 248, 111943. 1-s2.0-S0034425720303138-main.pdf2.55 MB
Tian, Z., Y. Ji, H. Xu, H. Qiu, L. Sun, H. Zhong, J. Liu. 2021. “The potential contribution of growing rapeseed in winter fallow fields across Yangtze River Basin to energy and food security in China.” Resources, Conservation & Recycling (2019 IF: 8.086).Vol. 164, article no. 105159. https://doi.org/10.1016/j.resconrec.2020.105159.
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, D. Fan, G. Fischer, H. Zhong, P. Zhang, E. Pope, C. Kent, W. Wu. 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. 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