2. W. Tay and Y. He: Estimating biomass carbon emission induced by land cover and land use change from 2001 to 2019 in Arkansas, US. submitted
1. F. Fang, A. Greenlee, Y. He, E. Eutsler: Evaluating the Quantity and Quality of Street Trees in Washington, D.C.: Implications for Environmental Justice. submitted
31. He, Y., M. H. Connolly, R. Xu, X. Huang, Z. Wang, M. Filares-Arreguin, and C. Rhodes: Impacts of irrigation-climate interactions on irrigated soybean yields in the US Arkansas Delta from 2003 to 2017. Progress in Physical Geography: Earth and Environment, 0(0).[link]
30. He, Y, P. Siminara, X. Huang, D. Yang, F. Fang, and C. Song: Geospatial Modeling of Health, Socioeconomic, Demographic, and Environmental Factors with COVID-19 Incidence Rate in Arkansas, US. ISPRS Int. J. Geo-Inf. 2023, 12(2), 45. [link]
29. He, Y., J. Chipman, N. Siegert, J. S. Mankin, 2022. Rapid land cover and land use change in the Indo-Malaysian region over the last 34 years based on AVHRR NDVI data. Annals of the American Association of Geographers, 1-21. [link]
28. He, Q., Q. Meng, W. Flatley, Y. He, 2022. Agricultural aid and deforestation in sub-Saharan Africa: a causal analysis based on remote sensed data of Sierra Leone. Land, 11, 668.[link]
27. Yadav, S., E. Lee.,Y. He, 2022. Positive effects of vegetation on temperature over the Alpine Grasslands in the Western Tibetan Plateau. Earth Interactions. [link]
26. He, Y.+, J.Oh+, E. Lee, J. Kim, 2022. Land cover and land use mapping of the East Asian Summer Monsoon region from 1982 to 2015. Land, 11, 391. (+contribute equally) [link]
25. Yang A., J. Yang, D. Yang, R. Xu, Y. He, A. Aragon, and H. Qiu, 2021. Human Mobility to Parks under the COVID-19 Pandemic and Wildfire Seasons in the Western and Central United States. Geohealth, 5(12). [link]
24. He, Y.+, R. Xu+, S. A. Prior, D. Yang, A. Yang, J. Chen, 2021. Satellite-detection of ammonia changes in the United States: natural or anthropogenic impacts. Science of the Total Environment, 147899. (+contribute equally) [link]
23. Liu, J., W. Shen, Y. He*, 2021. Effects of cropland expansion on temperature extremes in western India from 1982 to 2015. Land, 10, 489. (* corresponding author) [link]
22. You, G., Liu, B., Zou, C., Li, H., McKenzie, S., He, Y., Gao, J., Jia, X., Arain, M.A., Wang, S. and Wang, Z., 2021. Sensitivity of vegetation dynamics to climate variability in a forest-steppe transition ecozone, north-eastern Inner Mongolia, China. Ecological Indicators, 120, p.106833. [link]
21. Li, Y., Chen, Y., Wang, F., He, Y., and Li, Z., 2020. Evaluation and projection of snowfall changes in High Mountain Asia based on NASA's NEX-GDDP high-resolution daily downscaled dataset. Environmental Research Letters, 15(10), p.104040. [link]
20. You, G., Arain, M.A., Wang, S., McKenzie, S., Xu, B., He, Y., Wu, D., Lin, N., Gao, J. and Jia, X., 2020. Inter-annual Climate Variability and Vegetation Dynamic in the Upper Amur (Heilongjiang) River Basin in Northeast Asia. Environmental Research Communications, 2(6), p.061003. [link]
19. He, Y., Lee, E., and Mankin, J.S., 2020. Seasonal tropospheric cooling in Northeast China associated with cropland expansion. Environmental Research Letters. [link]
18. Ji, X., Li, X., He, Y.*, and Liu, X., 2019. A Simple Method to Improve Estimates of County-Level Economics in China Using Nighttime Light Data and GDP Growth Rate. ISPRS Int. J. Geo-Inf, 8, 419. (* corresponding author) [link]
17. Song, C.+, He, Y.+, Bo, Y., Wang, J., Ren, Z., Guo, J. and Yang, H., 2019. Disease relative risk downscaling model to localize various epidemiologic indicators for mapping hand, foot, and mouth disease over China. Stochastic Environmental Research and Risk Assessment, 1-19. (+contribute equally) [link]
16. Gaertner, B.A., Zegre, N., Warner, T., Fernandez, R., He, Y., and Merriam, E.R., 2019. Climate, forest growing season, and evapotranspiration changes in the central Appalachian Mountains, USA. Science of The Total Environment, 650, pp.1371-1381. [link]
15. Lee, E., and Y. He, 2018. Could the Enhanced Forests Reduce Summer Warming in the Southern China?. Journal of Climate Research, 13(4), p.345-359. [link]
14. Lee, E., Y. He, and Y-L. Park, 2018. Effects of Climate Change on the Phenology of Osmia cornifrons: implications for population management. Climatic Change. [link]
13. Song, C., Y. He, Y. Bo, J. Wang, Z. Ren, H. Yang, 2018. Risk Assessment and Mapping of Hand, Foot, and Mouth Disease at the County Level in Mainland China Using Spatiotemporal Zero-Inflated Bayesian Hierarchical Models. Int. J. Environ. Res. Public Health, 15, 1476. [link]
12. He, Y., T. A. Warner, B. E. McNeil, and E. Lee, 2018. Reducing Uncertainties in Applying Remotely Sensed Land Use and Land Cover Maps in Land-Atmosphere Interaction: Identifying Change in Space and Time, Remote Sensing, 10, 506. [link]
11. Lee, E., Y. He, and J. Shanmugasundaram, 2017. "Geography of Monsoons." In Oxford Bibliographies in Geography. Ed. Barney Warf. New York: Oxford University Press. [link]
10. He, Y., E. Lee, T. A. Warner, 2017. A time-series of annual land use and land cover maps of China from 1982 to 2013 generated using AVHRR GIMMS NDVI3g data. Remote Sensing of Environment 199, 201-217. [link]
9. He, Y., E. Lee, 2016. Empirical relationships of sea surface temperature and vegetation activity with summer rainfall variability over the Sahel. Earth Interactions 20(6), 1-18. [link]
8. He, Y., Y. Bo, L. Chai, X. Liu, and A. Li, 2016. Linking in situ LAI and fine resolution remote sensing data to map reference LAI over cropland and grassland using geostatistical method. International Journal of Applied Earth Observation and Geoinformation 50, 26-38. [link]
7. Ahn, J.J., Y. Son, Y. He, E. Lee, Y-L. Park, 2016. Effects of Temperature on Development an Voltinism of Chaetodactylus krombeini (Acari: Chaetodactylidae): Implications for Climate Change Impacts. PLoS ONE 11(8): e0161319, doi:10.1371/journal.pone.0161319. [link]
6. He, Y., Y. Bo, R. de Jong, A. Li, Y. Zhu, and J. Cheng, 2015. Comparison of vegetation phenological metrics extracted from GIMMS NDVIg and MERIS MTCI datasets over China. International Journal of Remote Rensing, 2015, 36(1), 300-317. [link]
5. Lee, E., Y. He, M. Zhou, and J. Liang, 2015. Potential feedback of recent vegetation changes on summer rainfall in the Sahel, Physical Geography, 36(6), 449-470, doi: 10.1080/02723646.2015.1120139. [link]
4. Zhu, Y., E. Kang, Y. B, Q. Tang, J. Cheng, and Y. He, 2015. A Robust Fixed Rank Kriging Method for Improving the Spatial Completeness and Accuracy of Satellite SST Products. IEEE Transactions on Geoscience and Remote Sensing, 53(9), 5021-5035. [link]
3. Liu, X., Y. Bo, J. Zhang, and Y. He, 2015. Classification of C3 and C4 Vegetation Types Using MODIS and ETM+ Blended High Spatio-Temporal Resolution Data. Remote Sensing, 7(11), 15244-15268. [link]
2. Zheng, L., Y. Bo, and Y. He, 2015. Comparison of natural vegetation phenology developed from MODIS and CYCLOPES and GLASS LAI data product based on dynamical threshold method: a case study in three provinces of Northeast China. Remote Sensing Technology and Application, 30 (6), 1103-1112. (Chinese with English abstract)
1. Li, A., Y. Bo, Y. Zhu, P. Guo, J. Bi, and Y. He, 2013. Blending multi-resolution satellite sea surface temperature (SST) products using Bayesian maximum entropy method. Remote Sensing of Environment, 135, 52-63, doi: 10.1016/j.rse.2013.03.021. [link]