2021 |
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Wan, H.*, McLaughlin, D., Shao, Y., Eerden, B.V., Ranganathan, S., Deng, X. 2021. Remotely-sensed Evapotranspiration for Informed Urban Forest Management, Landscape and Urban Planning, https://doi.org/10.1016/j.landurbplan.2021.104069.
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2021 |
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Ren,J.*, Shao, Y.,Wan, H., Xie, Y., Campos, A., 2021. A two-step mapping of irrigated corn with multi-temporal MODIS and Landsat analysis ready data, ISPRS Journal of Photogrammetry and Remote Sensing , 176, pp.69-82.
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2021 |
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Shao, Y.,Cooner, A.J., Walsh, S.J., 2021. Assessing Deep Convolutional Neural Networks and Assisted Machine Perception for Urban Mapping, Remote Sensing, 13(8), p.1523.
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2020 |
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Bhattarai, S.*, Kolivras, K. N., Ghimire, K., & Shao, Y, . 2020. Understanding the relationship between land use and land cover and malaria in Nepal, Geospatial Health, 15(2), https://doi.org/10.4081/gh.2020.855
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2020 |
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Iiames, J.S., Cooter, E., Pilant, A., Shao, Y., 2020.Comparison of EPIC-simulated and MODIS-derived Leaf Area Index (LAI) across multiple spatial scales, Remote Sensing, 12(17), p.2764
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2020 |
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Weiss, D. J., Nelson, A., Vargas-Ruiz, C. A., Gligori?, K., Bavadekar, S., Gabrilovich, E.,Bertozzi-Villa, A., Rozier, J., Gibson, H. S.,Shekel, T., Kamath, C., Lieber, A.,Schulman, K., Shao, Y., Qarkaxhija, V., Nandi, A. K., Keddie, S. H., Rumisha, S., Cameron, E., Battle, K. E., Bhatt, S., Gething, P. W. , 2020.Global maps of travel time to healthcare facilities, Nature Medicine, https://doi.org/10.1038/s41591-020-1059-1.
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2020 |
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Yan,X., Li, J., Shao, Y., Hu, Z., Yang, Z., Yin, S., Cui, L., 2020.Driving forces of grassland vegetation changes in Chen Barag Banner, Inner Mongolia
GIScience and Remote Sensing, DOI: 10.1080/15481603.2020.1794395.
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2020 |
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Lambert, C.B.*, Resler, L.M., Shao, Y., Butler, D.R., 2020.Vegetation change as related to terrain factors at two glacier forefronts, Glacier National Park, Montana, U.S.A.
Journal of Mountain Science, 85(10),715-724.
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2019 |
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Wan, H.*, Shao, Y., Campbell, J.B., Deng, X.W. 2019.
Mapping annual urban change using time-series Landsat data and NLCD.
Photogrammetric Engineering and Remote Sensing, 85(10),715-724.
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2019 |
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Poor,E.E*, Shao, Y., and Kelly, M.J. 2019.
Mapping and predicting forest loss in a Sumatran tiger landscape from 2002 to 2050. Journal of Environmental Management, Volume 231, Pages 397-404.
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2019 |
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Tran, H.T.*, Campbell, J.B., Wynne, R.H., Shao, Y. , and Phan, S.V., 2019.
Drought and Human Impacts on Land Use and Land Cover Change in a Vietnamese Coastal Area Remote Sensing, 11(3), p.333. |
2018 |
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Taff, G.N., Shao, Y., Ren, J.*, and Zhang, R.*, 2018.
Image Classification by Integrating Reject Option and Prior Information. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, DOI:10.1109/JSTARS.2018.2870978.
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2018 |
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Jensen, C. K.*, McGuire, K. J., Shao, Y., and Andrew Dolloff, C. 2018.
Modeling wet headwater stream networks across multiple flow conditions in the Appalachian Highlands. Earth Surf. Process. Landforms, https://doi.org/10.1002/esp.4431.
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2017 |
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Ren, J.*, Campbell, J.B., Shao, Y.,2017.
Estimation of SOS and EOS for Midwestern US Corn and Soybean Crops. Remote Sensing, 2017, 9(7), 722; doi:10.3390/rs9070722
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2017 |
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Jin, X., Shao, Y., Zhang, Z., Resler, L.M., Campbell, J.B., Chen, G., Zhou, Y., 2017.
The evaluation of land consolidation policy in improving agricultural productivity in China. Scientific Reports, 7: 2792|DOI:10.1038/s41598-017-03026-y
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2017 |
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Cooper, B.*, Dymond, R., Shao, Y. 2017.
Impervious Comparison of NLCD Versus a Detailed Dataset Over Time. Photogrammetric Engineering and Remote Sensing,83(6),429-437.
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2016 |
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Shao, Y. , Taff, G.N., Ren, J., Campbell, J.B. 2016. Characterizing major agricultural land change trends in the Western Corn Belt. ISPRS Journal of Photogrammetry and Remote Sensing , 122, 116-125.
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2016 |
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Shao, Y. , Ross S. Lunetta, Brandon Wheeler*, John S. Iiames and James B. Campbell. 2016.
An evaluation of time-series smoothing algorithms for land-cover classifications using MODIS-NDVI multi-temporal data. Remote Sensing of Environment, 174, pages 258-265.
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2016 |
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Cooner, A.*, Shao, Y. , Campbell, J.B. 2016. Automatic Detection of Urban Damage Using Remote Sensing and Machine Learning Algorithms: The 2010 Haiti Earthquake. Remote Sensing,8(10), 868; doi:10.3390/rs8100868.
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2016 |
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Ren, J.*, Campbell, J.B., Shao, Y. 2016. Spatial and Temporal Dimensions of Agricultural Land Use Changes, 2001-2012, East-Central Iowa. Agricultural Systems, 148,Pages 149-158.
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2016 |
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Chen, G., Glasmeier, A.K., Zhang, Min.,
Shao, Y. 2016. Urbanization and Income Inequality in Post-Reform China: A Causal Analysis Based on Time Series Data. PloS one, 11(7): e0158826. doi:10.1371/journal.pone.0158826
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2016 |
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Gonzalo Ferreira, Eleonor L Cayford, Leyang Feng*, Shao, Y. , Marcos Isla Casares. 2016.
Use of satellite remote-sensing techniques to predict the variation of the nutritional composition of corn (Zea mays L) for silage. Maydica , 61:M7.
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2016 |
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Shao, Y. , Ren, J.*, Campbell, J.B. 2016. Multi-temporal remote sensing data analysis for agricultural application. In Remote Sensing Applications for Societal Benefits edited by Stephen J. Walsh and published by Elsevier
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2015 |
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Shao, Y. , Campbell, J.B., Taff, G.N. and Zheng, B. 2015.
An Analysis of Cropland Mask choice and Ancillary Data for Annual Corn Yield Forecasting using MODIS data. International Journal of Applied Earth Observation and Geoinformation, Volume 38, Pages 78-87
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2015 |
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Shao, Y. , Gina L. Li*, Eric Guenther*, Campbell, J.B. 2015.
Evaluation of topographic correction on sub-pixel impervious cover mapping with CBERS-2B data. IEEE Geoscience and Remote Sensing Letters, DOI10.1109/LGRS.2015.2419135 |
2014 |
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Wang, H.*, Shao, Y. , Kennedy, L. 2014.
Temporal generalization of sub-pixel vegetation mapping with multiple machine learning and atmospheric correction algorithms.
International Journal of Remote Sensing, 35(20), pages 7118-7135. |
2014 |
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Resler, Lynn M., Shao, Y., Tomback, Diana F., and Malanson, George P. 2014. Predicting functional role and occurrence of Whitebark Pine (Pinus albicaulis)at alpine treelines: Model accuracy and variable importance.
Annals of the Association of American Geographers, vol. 104(4),703-722 |
2013 |
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Zheng, B.*, Campbell, J.B., Shao, Y., Wynne, R.H., 2013.
Broad-scale monitoring of tillage practices using sequential Landsat imagery,
Soil Science Society of America Journal, Vol. 77 No. 5, p. 1755-1764. |
2013 |
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White, J.*, Shao, Y., Kennedy, L., Campbell, J.B., 2013.
Landscape Dynamics on the Island of La Gonave, Haiti, 1990-2010. Land 2(3):493-507. |
2013 |
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Macpherson, A.J., Principe, P.P., Shao, Y., 2013.
Controlling for exogenous environmental variables when using data envelopment analysis for regional environmental assessments,
Journal of Environmental Management, 119, 220-229.
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2013 |
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Shao,Y., Lunetta, R., Macpherson, A., Chen, G., Luo, J., 2013.
Assessing sediment yield for selected watersheds in the Great Lakes Basin for future agricultural land use change scenarios,
Environmental Management, 51:59-69. |
2012 |
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Shao,Y., Lunetta, R., 2012. Comparison of support vector machine,
neural network, and CART algorithms for the land-cover classification using limited training data
points. ISPRS Journal of Photogrammetry and Remote Sensing, 70, 78-87. |
2011 |
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Shao,Y., Taff, G.N., Walsh, S.J., 2011. Shadow detection and building height estimation using IKONOS data.
International Journal of Remote Sensing, , 32(22), 6929-6944. |
2011 |
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Shao, Y. , Taff, G.N., Lunetta, R, 2011. A review of selected MODIS algorithms, data products, and applications, in Advances in Environmental Remote Sensing: Sensors, Algorithms, and Applications, edited by Qihao, Weng and published by CRC/Taylor and Francis, pages 31-55.
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2011 |
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Yu, Shaocai, Rohit Mathur, Jonathan Pleim, David Wong, Annmarie G. Carlton, Shawn Roselle, S.T. Rao, and Shao, Y. , 2011.Simulation of the Indirect Radiative Forcing of Climate Due to Aerosols by the Two-Way Coupled WRF-CMAQ over the Eastern United States, NATO Science for Peace and Security Series C: Environmental Security, 2012, 4, Part 5, 579-583. .
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2010 |
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Shao,Y., Lunetta, R., 2010. Sub-pixel mapping of tree canopy,
impervious surfaces and cropland in the Laurentian Great Lakes Basin using MODIS
time-series data. IEEE Journal of Selected Topics in Applied Earth Observations
and Remote Sensing, 4(2), 336-347. |
2010 |
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Shao,Y., Taff, G.N., Walsh, S.J., 2010. Comparison of early stop criteria for neural network-based sub-pixel classification.
IEEE Geoscience and Remote Sensing letters, 8(1), 113-117. |
2010 |
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Shao, Y., Lunetta, R., Ediriwickrema, J., Iiames, J., 2010.
Mapping cropland and major crop types across the Great Lakes Basin using MODIS-NDVI
data. Photogrammetric Engineering and Remote Sensing, 75(1), 73-84. |
2010 |
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Lunetta,R., Shao, Y., Ediriwickrema, J.,
Lyon, J.G., 2010. Monitoring agricultural cropping patterns in the Great Lakes Basin using
MODIS-NDVI data. International Journal of Applied Earth Observation and Geoinformation,
12, 81-88.
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2008 |
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Shao,Y., , Walsh, S.J., Entwisle, B., Rindfuss, R.R., 2008.
Spatial clustering and urban settings of rural migrants in Bangkok, Thailand.
GeoCarto International, 23, 1, 32-52
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2008 |
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Walsh, S.J., Shao, Y., Mena, C.F., McCleary, A.L.,
2008. Integration of Hyperion satellite data and a household social survey to
characterize the causes and consequences of reforestation patterns in the Northern
Ecuadorian Amazon. Photogrammetric Engineering and Remote Sensing, 74(6), 725-735.
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2008 |
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Walsh, S.J., McCleary, A.L., Mena, C.F., Shao, Y., Tuttle,J.P., Gonzalez,
A., and Atkinson,R.,2008. QuickBird and Hyperion data analysis of an invasive plant
species in the Galapagos Islands of Ecuador: Implications for control and land use management,
Remote Sensing of Environment, 112, 1927-1941.
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