Center for Spatial Information Science and Systems

Publications

Selected peer-reviewed journal papers published in the past 5 years.

2026

  • Li, H., Di, L., Zhang, C., Guo, L., Yu, E.G., Shao, B., Liu, Z. and Li, H. (2026) ‘Automated 10-m Resolution In-season Crop-type Data Layer Mapping for Contiguous United States’, Scientific Data.
  • Liu, Z., Di, L., Yang, R., Guo, L., Zhang, C., Li, H. and Shao, B. (2026) ‘In-season crop yield prediction: State of the art and future research direction’, International Journal of Applied Earth Observation and Geoinformation, 146.
  • Li, H., Di, L., Yang, R., Qu, J.J., Tong, D.Q., Guo, L., Yu, E.G., Liu, Z., Shao, B. et al. (2026) ‘In-season sugarcane mapping in the US and Brazil using time-invariant phenological features’, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

2025

  • Zhang, C., Kerner, H., Wang, S., Hao, P., Li, Z., Hunt, K.A., Abernethy, J., Zhao, H. et al. (2025) ‘Remote sensing for crop mapping: A perspective on current and future crop-specific land cover data products’, Remote Sensing of Environment, 330, p. 114995.
  • Hao, P., Di, L., Guo, L., Chen, Z. and Montgomery, L. (2025) ‘A practical method for deriving all-weather ET from remote sensing and meteorological data’, International Journal of Applied Earth Observation and Geoinformation, 144.
  • Zhang, H.K., Shen, Y., Zhang, X., Li, J., Yang, Z., Xu, Y., Zhang, C., Di, L. and Roy, D.P. (2025) ‘Robust and timely within-season conterminous United States crop type mapping using Landsat Sentinel-2 time series and the transformer architecture’, Remote Sensing of Environment, 329, p. 114950.

2024

  • Lin, L., Di, L., Zhang, C., Guo, L., Zhao, H., Islam, D., Li, H., Liu, Z. and Middleton, G. (2024) ‘Modeling urban redevelopment: A novel approach using time-series remote sensing data and machine learning’, Geography and Sustainability, 5(2), pp. 211-219.
  • Islam, M.D., Di, L., Zhang, C., Yang, R., Qu, J.J., Tong, D., Guo, L., Lin, L. and Pandey, A. (2024) ‘A decision rule and machine learning-based hybrid approach for automated land-cover type local climate zones (LCZs) mapping using multi-source remote sensing data’, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
  • Li, H., Di, L., Zhang, C., Lin, L., Guo, L., Li, R. and Zhao, H. (2024) ‘In-season mapping of sugarcane planting based on Sentinel-2 imagery’, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
  • Li, H., Di, L., Zhang, C., Lin, L., Guo, L., Yu, E.G. and Yang, Z. (2024) ‘Automated in-season crop-type data layer mapping without ground truth for the conterminous United States based on multisource satellite imagery’, IEEE Transactions on Geoscience and Remote Sensing, 62, pp. 1-14.
  • Lawler, S., Zhang, C., Siddiqui, A.R., Lindemer, C., Rosa, D., Lehman, W. et al. (2024) ‘Leveraging OGC API for cloud-based flood modeling campaigns’, Environmental Modelling & Software, 171, p. 105855.

2023

  • Zhang, C., Di, L., Lin, L., Zhao, H., Li, H., Yang, A., Guo, L. and Yang, Z. (2023) ‘Cyberinformatics tool for in-season crop-specific land cover monitoring: Design, implementation, and applications of iCrop’, Computers and Electronics in Agriculture, 213, p. 108199.
  • Zhao, H., Di, L., Guo, L., Zhang, C. and Lin, L. (2023) ‘An automated data-driven irrigation scheduling approach using model simulated soil moisture and evapotranspiration’, Sustainability, 15(17), p. 12908.
  • Yu, Z., Di, L., Shrestha, S., Zhang, C., Guo, L., Qamar, F. and Mayer, T.J. (2023) ‘Ricemapengine: a google earth engine-based web application for fast paddy rice mapping’, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
  • Islam, M.D., Di, L., Qamer, F.M., Shrestha, S., Guo, L., Lin, L., Mayer, T.J. and Phalke, A.R. (2023) ‘Rapid rice yield estimation using integrated remote sensing and meteorological data and machine learning’, Remote Sensing, 15(9), p. 2374.
  • Lin, L., Di, L., Zhang, C. and Guo, L. (2023) ‘The global land surface temperature change in the 21st century—A satellite remote sensing based assessment’, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

2022

  • Zhang, C., Yang, Z., Di, L., Yu, E.G., Zhang, B., Han, W., Lin, L. and Guo, L. (2022) ‘Near-real-time MODIS-derived vegetation index data products and online services for CONUS based on NASA LANCE’, Scientific Data, 9(1), p. 477.
  • Zhang, C., Di, L., Lin, L., Li, H., Guo, L., Yang, Z., Yu, E.G., Di, Y. and Yang, A. (2022) ‘Towards automation of in-season crop type mapping using spatiotemporal crop information and remote sensing data’, Agricultural Systems, 201, p. 103462.
  • Zhang, C., Yang, Z., Zhao, H., Sun, Z., Di, L., Bindlish, R., Liu, P.W., Colliander, A. et al. (2022) ‘Crop-CASMA: A web geoprocessing and map service based architecture and implementation for serving soil moisture and crop vegetation condition data over US Cropland’, International Journal of Applied Earth Observation and Geoinformation, 112.
  • Molla, A., Di, L., Guo, L., Zhang, C. and Chen, F. (2022) ‘Spatio-temporal responses of precipitation to urbanization with Google Earth engine: A case study for Lagos, Nigeria’, Urban Science, 6(2), p. 40.
  • Guo, L., Di, L., Zhang, C., Lin, L. and Di, Y. (2022) ‘Influence of urban expansion on Lyme disease risk: A case study in the US I-95 Northeastern corridor’, Cities, 125, p. 103633.
  • Zhao, H., Di, L. and Sun, Z. (2022) ‘WaterSmart-GIS: A web application of a data assimilation model to support irrigation research and decision making’, ISPRS International Journal of Geo-Information, 11(5), p. 271.
  • Huang, M., Fan, X., Jian, H., Zhang, H., Guo, L. and Di, L. (2022) ‘Bibliometric analysis of OGC specifications between 1994 and 2020 based on Web of Science (WoS)’, ISPRS International Journal of Geo-Information, 11(4), p. 251.
  • Lin, L., Di, L., Zhang, C., Guo, L., Di, Y., Li, H. and Yang, A. (2022) ‘Validation and refinement of cropland data layer using a spatial-temporal decision tree algorithm’, Scientific Data, 9(1), p. 63.
  • Guo, L., Di, L., Zhang, C., Lin, L., Chen, F. and Molla, A. (2022) ‘Evaluating contributions of urbanization and global climate change to urban land surface temperature change: a case study in Lagos, Nigeria’, Scientific Reports, 12(1), p. 14168.
  • Hao, P., Di, L. and Guo, L. (2022) ‘Estimation of crop evapotranspiration from MODIS data by combining random forest and trapezoidal models’, Agricultural Water Management, 259, p. 107249.