Conference Papers/Abstracts

2020

  • Zhang, C., Yang, Z., Di, L., Lin, L., and Hao, P., 2020. Refinement of Cropland Data Layer Using Machine Learning. Proceedings of Joint meeting of the 21st William T. Pecora Memorial Remote Sensing Symposium (Pecora 21) and the 38th International Symposium on Remote Sensing of Environment (ISRSE 38), pp. 161-164. doi: https://doi.org/10.5194/isprs-archives-XLII-3-W11-161-2020.
  • Guo, L., Di, L., 2020. Spatial Changes of Corn and Soybean Planting Areas in USA from 2008 to 2018. Presented at the 100th American Meteorological Society Annual Meeting, AMS.

2019

  • Eibedingil, I.G., Tong, D., Gill, T.E., 2019. Investigating the Surface Properties and Evolution of a Desert Playa Using Optical and Radar Satellite Imagery Products. Presented at the AGU Fall Meeting 2019, AGU.
  • Kim, D., Chin, M., Cruz, C., Tao, Z., Yu, H., Nowottnick, E.P., Colarco, P.R., Tong, D., Ginoux, P.A., 2019. Understanding the interannual variability of fine dust over North America in spring. Presented at the AGU Fall Meeting 2019, AGU.
  • Li, J.J., Holmes, H., Tong, D., Gill, T.E., Holmes, H., Li, J.J., Tong, D., Gill, T.E., Li, J.J., 2019. Earth System Interactions and Implications for Geohealth I eLightning. Presented at the AGU Fall Meeting 2019, AGU.
  • Liu, Z., Tong, D., Wei, J.C., 2019. Investigating Meteorological Conditions Associated with Valley Fever Outbreaks in Southwestern United States. Presented at the AGU Fall Meeting 2019, AGU.
  • ONeill, S.M., Diao, M., Raffuse, S.M., Tanrikulu, S., Reid, S., Jia, Y., Tong, D., Freedman, F., Al-Hamdan, M.Z., West, J.J., Kinney, P., Barik, M., Venkatram, A., Miller, D., Wilkins, J.L., Odman, M.T., Zou, Y., Martinez, M.E., Becerril, E., Castillo, M., Larkin, N.K., Wing, G., Alvarado, E., Holloway, T., Cleland, S., Lahm, P.W., Fitch, M., 2019. 2017 Northern California Wildfires – A NASA Health and Air Quality Applied Sciences Team (HAQAST) Tiger Team. Presented at the AGU Fall Meeting 2019, AGU.
  • Rahman, M.S., Di, L., Yu, E., Zhao, H., Lin, L., Yu, Z., 2019. Prediction of Field Level Crop Types Using Markov Chain Modeling on Crop Rotation Pattern. Presented at the AGU Fall Meeting 2019, AGU.
  • Sun, Z., Di, L., Fang, H., Burgess, A.B., Singh, N., 2019a. Deep Learning Cyberinfrastructure for Crop Semantic Segmentation. Presented at the AGU Fall Meeting 2019, AGU.
  • Sun, Z., Di, L., Tong, D., Burgess, A.B., Sun, Z., Di, L., Sun, Z., 2019b. Advanced Geospatial Cyberinfrastructure for Deep Learning Posters. Presented at the AGU Fall Meeting 2019, AGU.
  • Sun, Z., Tong, D., Sun, Z., Tong, D., Sun, Z., 2019c. Deep Learning for Improving Short-Term Atmospheric Modeling and Prediction Posters. Presented at the AGU Fall Meeting 2019, AGU.
  • Tong, D., Lee, P., Tang, Y., Baker, B., Campbell, P., Saylor, R.D., Chai, T., Lamsal, L.N., Krotkov, N.A., Li, C., Kondragunta, S., Gregory, C., Henze, D.K., McQueen, J., Huang, J.-P., Stajner, I., 2019. Novel use of satellite data for improving national air quality forecasts through emission data assimilation. Presented at the AGU Fall Meeting 2019, AGU.
  • Yu, E., Di, L., Gao, F., Yang, Z., Gao, F., Yu, E., Yu, E., 2019a. Agrogeoinformatics: Connecting Geospatial Technologies with Agriculture I. Presented at the AGU Fall Meeting 2019, AGU.
  • Yu, E., Di, L., Rahman, M.S., Lin, L., Zhao, H., Zhang, C., Tang, J., 2019b. Calibration of Crop Growth Simulation Model for Irrigated Cropland Using Remote Sensing Derived Leaf Area Index. Presented at the AGU Fall Meeting 2019, AGU.
  • Zhang, X., Ma, S., Gao, C., Tong, D., Xiu, A., Wu, G., 2019a. Multi-model simulations of springtime dust storms in Northeast China: Implications of an evaluation of four commonly used air quality models (CMAQ, CAMx, CHIMERE, and WRF-Chem). Presented at the AGU Fall Meeting 2019, AGU.
  • Zhang, X., Tong, Q., Xiu, A., Tong, D., 2019b. Design of MEMS-based micro-size instrument for applications of atmospheric environment monitoring and personal exposure measurements. Presented at the AGU Fall Meeting 2019, AGU.
  • Zhao, H., Di, L., Yu, E., Zhang, C., Yu, Z., Rahman, M.S., 2019. Relationship between soil moisture and crop yield in America during a drought. Presented at the AGU Fall Meeting 2019, AGU.
  • Liang, L., Geng, D., Huang, T., Di, L., Lin, L., Sun, Z., 2019. VCI-based Analysis of Spatio-temporal Variations of Spring Drought in China from 1981 to 2015, in: 2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). Presented at the 2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), pp. 1–6. https://doi.org/10.1109/Agro-Geoinformatics.2019.8820259
  • Lin, L., Di, L., Zhang, C., Guo, L., Tang, J., Yu, E., Rahman, M.S., Zhao, H., Yu, Z., Sun, Z., Gaigalas, J., 2019. Building Near-Real-Time MODIS Data Fusion Workflow to Support Agricultural Decision-making Applications, in: 2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). Presented at the 2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), pp. 1–5. https://doi.org/10.1109/Agro-Geoinformatics.2019.8820229
  • Rahman, M.S., Di, L., Yu, Z., Yu, E.G., Tang, J., Lin, L., Zhang, C., Gaigalas, J., 2019. Crop Field Boundary Delineation using Historical Crop Rotation Pattern, in: 2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). Presented at the 2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), pp. 1–5. https://doi.org/10.1109/Agro-Geoinformatics.2019.8820240
  • Sun, Z., Di, L., Fang, H., Guo, L., Yu, E., Tang, J., Zhao, H., Gaigalas, J., Zhang, C., Lin, L., Yu, Z., Zhong, S., Wang, X., Tan, X., Jiang, L., Chen, Z., Xu, Z., Sun, J., 2019. Advanced Cyberinfrastructure for Agricultural Drought Monitoring, in: 2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). Presented at the 2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), pp. 1–5. https://doi.org/10.1109/Agro-Geoinformatics.2019.8820694
  • Xu, Z., Meng, S., Zhong, S., Di, L., Yang, C., Yu, E., 2019. Study on Temporal and Spatial Adaptability of Crop Classification Models, in: 2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). Presented at the 2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), pp. 1–7. https://doi.org/10.1109/Agro-Geoinformatics.2019.8820233
  • Yu, E.G., Di, L., Lin, L., Zhao, H., Rahman, M.S., Zhang, C., Tang, J., 2019. Full Stack Web Development of a Geospatial Information Service System for Intelligently Irrigated Agriculture, in: 2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). Presented at the 2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), pp. 1–6. https://doi.org/10.1109/Agro-Geoinformatics.2019.8820551
  • Yu, Z., Di, L., Yang, R., Tang, J., Lin, L., Zhang, C., Rahman, M.S., Zhao, H., Gaigalas, J., Yu, E.G., Sun, Z., 2019. Selection of Landsat 8 OLI Band Combinations for Land Use and Land Cover Classification, in: 2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). Presented at the 2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), pp. 1–5. https://doi.org/10.1109/Agro-Geoinformatics.2019.8820595
  • Zhang, C., Di, L., Lin, L., Guo, L., 2019a. Extracting Trusted Pixels from Historical Cropland Data Layer Using Crop Rotation Patterns: A Case Study in Nebraska, USA, in: 2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). Presented at the 2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), pp. 1–6. https://doi.org/10.1109/Agro-Geoinformatics.2019.8820236
  • Zhang, C., Di, L., Yang, Z., Lin, L., Yu, E.G., Yu, Z., Rahman, M.S., Zhao, H., 2019b. Cloud Environment for Disseminating NASS Cropland Data Layer, in: 2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). Presented at the 2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), pp. 1–5. https://doi.org/10.1109/Agro-Geoinformatics.2019.8820465
  • Zhong, S., Xu, Z., Sun, Z., Yu, E., Guo, L., Di, L., 2019. Global vegetative drought trend and variability analysis from long-term remotely sensed data, in: 2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). Presented at the 2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), pp. 1–6. https://doi.org/10.1109/Agro-Geoinformatics.2019.8820219
  • Eibedingil, I.G., Tong, D., Pelt, R.S.V., Gill, T.E., 2019. Estimation of Ground-Level Fine Particulate Matter Using Remotely Sensed Data Augmenting Air Quality Monitoring Network Data in the Western United States. Presented at the 99th American Meteorological Society Annual Meeting, AMS.
  • Tong, D., Baker, B., Saylor, Ri., 2019a. Forecasting Dust Emissions from Regional to Global Scale Using Satellite Data. Presented at the 99th American Meteorological Society Annual Meeting, AMS.
  • Tong, D., Baker, B., Wang, J., Gill, T.E., Pelt, R.S.V., Wang, B., Ginoux, P., Pu, B., Lei, H., Liu, Z., Kim, D., Chin, M., 2019b. Rising Dust Storm Activity in the Southwestern United States: Evidence from Long-Term Multiplatform Observations. Presented at the 99th American Meteorological Society Annual Meeting, AMS.
  • Gai, A., Di, L., Tang, J., Guo, L., Kang, H., 2019. Response of Ecological Water Supply Service to Land Cover Change in the Source Area of the Yellow River, in: Sun, R., Fei, L. (Eds.), Sustainable Development of Water and Environment, Environmental Science and Engineering. Springer International Publishing, Cham, pp. 207–219. https://doi.org/10.1007/978-3-030-16729-5_20

2018

  • Liu, Z., 2018. Investigating Hydrometeorological Conditions Associated with Increasing Dust Events in Southwestern United States.
  • Shen, S., 2018. Satellite and Reanalysis Air Quality Data and Services at NASA GES DISC for Public Health Study.
  • Mcdonald, B.C., Coggon, M., Gilman, J., Warneke, C., Gkatzelis, G., Ortega, J.V., Peischl, J., Aikin, K.C., McKeen, S.A., Tong, D., Frost, G.J., Ryerson, T.B., Trainer, M., 2018. Evaluating a Bottom-up Inventory of Volatile Chemical Products and Mobile Source Emissions with Field Measurements in New York City, in: AGU Fall Meeting Abstracts. pp. A32B-08.
  • Molthan, A., Bell, J.R., Green, D.S., Albertson, R., Bawden, G.W., Borges, D., Chapman, B., Glasscoe, M.T., Jackson, M., Kirschbaum, D., Kirkendall, J., Jo, M., Layne, G., Lou, Y., Osmanoglu, B., Pinto, N., Roman, M., Schultz, L.A., Seepersad, J., Shrestha, R.M., Struve, J.C., Yao, T., Yun, S.H., 2018. NASA Earth Science Activities Supporting Analysis and Response to the 2018 Hurricane Season, in: AGU Fall Meeting Abstracts. pp. NH13E-07.
  • Shen, S., Ostrenga, D., Wei, J.C., Tong, D., Li, A., Vollmer, B., Meyer, D.L., 2018. Satellite and Reanalysis Air Quality Data and Services for Public Health Study at NASA GES DISC, in: AGU Fall Meeting Abstracts. pp. GH33B-1251.
  • Sun, Z., Di, L., 2018. CyberConnector COVALI: enabling inter-comparison and validation of Earth science models, in: AGU Fall Meeting Abstracts. pp. IN23B-0780.
  • Tong, D., Baker, B., Wang, J.X.L., Gill, T.E., Eibedingil, I.G., Van Pelt, R.S., Lei, H., Liu, Z., Wang, B., Ginoux, P.A., Pu, B., Huang, M., Kim, D., Chin, M., 2018a. Multi-platform observations of dust storm activity over Southwestern United States: Long-term trend, climate drivers and societal impacts, in: AGU Fall Meeting Abstracts. pp. GH31A-01.
  • Tong, D., Kondragunta, S., Ciren, P., Baker, B., Saylor, R.D., Lee, P., 2018b. Dust storm detection with GOES-R ABI over North America: Comparison against ground observations in the 2017 dust season, in: AGU Fall Meeting Abstracts. pp. A44A-06.
  • Wang, B., Yang, K., Tong, D., 2018. Satellite detection of rapid fuel shift in electricity generation over the eastern United States (2012-2017), in: AGU Fall Meeting Abstracts. pp. A31M-3111.
  • Yu, Z., Di, L., Tang, J., Yu, E.G., Rahman, Md.S., Zhang, C., 2018. Land Use/Land Cover Classification and Change Analysis for Ganges River Basin from 2000 to 2010, in: AGU Fall Meeting Abstracts. pp. B23J-2661.
  • Di, L., Chen, F., Yang, H., Barlage, M.J., Kranz, W., Elmore, R., Sesmero, J.P., 2018. WaterSmart: A cyberinfrastructure-based integrated decision-support web service system to facilitate informed irrigation decision-making, in: AGU Fall Meeting Abstracts. pp. GC52B-08.
  • Eibedingil, I.G., Tong, D., Van Pelt, R.S., Gill, T.E., 2018. Development of Satellite Based Dust Optical Depth from MODIS Deep Blue Product Collection 6.1 in the Western United States, in: AGU Fall Meeting Abstracts. pp. A24D-05.
  • Di, S., Guo, L., Lin, L., 2018. Rapid Estimation of Flood Crop Loss by Using DVDI, in: 2018 7th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). Presented at the 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics), pp. 1–4. https://doi.org/10.1109/Agro-Geoinformatics.2018.8476083
  • Gai, A., Di, L., Tang, J., Guo, L., Qian, Y., Zhou, D., Lu, Q., Song, J., Cen, G., 2018. Landscape Pattern Analysis and Prediction in Qingyang City Based on CA-Markov Model, in: 2018 7th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). Presented at the 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics), pp. 1–6. https://doi.org/10.1109/Agro-Geoinformatics.2018.8475979
  • Lin, L., Di, L., Yang, R., Zhang, C., Yu, E., Rahman, M.S., Sun, Z., Tang, J., 2018. Using Machine Learning Approach to Evaluate the PM2.5 Concentrations in China from 1998 to 2016, in: 2018 7th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). Presented at the 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics), pp. 1–5. https://doi.org/10.1109/Agro-Geoinformatics.2018.8475987
  • Rahman, M.S., Di, L., Yu, E.G., Tang, J., Lin, L., Zhang, C., Yu, Z., Gaigalas, J., 2018. Impact of Climate Change on Soil Salinity: A Remote Sensing Based Investigation in Coastal Bangladesh, in: 2018 7th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). Presented at the 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics), pp. 1–5. https://doi.org/10.1109/Agro-Geoinformatics.2018.8476036
  • Yu, Z., Di, L., Tang, J., Zhang, C., Lin, L., Yu, E.G., Rahman, Md.S., Gaigalas, J., Sun, Z., 2018. Land Use and Land Cover Classification for Bangladesh 2005 on Google Earth Engine, in: 2018 7th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). Presented at the 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics), pp. 1–5. https://doi.org/10.1109/Agro-Geoinformatics.2018.8475976
  • Di, L., Yu, E., Shrestha, R., Lin, L., 2018. DVDI: A New Remotely Sensed Index for Measuring Vegetation Damage Caused by Natural Disasters, in: IGARSS 2018 – 2018 IEEE International Geoscience and Remote Sensing Symposium. Presented at the IGARSS 2018 – 2018 IEEE International Geoscience and Remote Sensing Symposium, pp. 9067–9069. https://doi.org/10.1109/IGARSS.2018.8518022
  • Liu, Z.V., 2018. Improving Global Precipitation Product Access at the GES DISC.
  • Lu, L., Huang, Y., Di, L., Sun, Y., 2018. A Preliminary Study on Estimating the Impact of Plastic Mulched Landcover on Evapotranspiration Using SEBAL Model, in: EGU General Assembly Conference Abstracts. p. 5997.