From Science 20 Oct 2020 by Jeffrey Brainard
From Science 20 Oct 2020 by Jeffrey Brainard
My research group employs cutting-edge remote sensing technologies to tackle interdisciplinary environmental challenges. Key application areas include:
Forest Ecology: Monitoring human activities, biomass, biodiversity, and ecosystem services.
Renewable Energy: Optimizing site selection and infrastructure planning.
Agriculture: Enhancing crop yield prediction and sustainable water management.
Natural Disasters: Improving risk assessment, response, and recovery.
Marine Science: Tracking water quality, coastal changes, and habitat mapping.
Huang, B., Wang, M., Liu, M., Sun, Y., Li, Z.B., 2025. Denoising VIIRS and Sentinel-2 MSI ocean color imagery for improved floating algae monitoring using noise-simulation-aided deep learning. ISPRS J PHOTO & RS. (Denoising satellite images)
Xu, Z., Chen, X., Jiang, Q., Wu, X., Bhattarai, N., Mullen, J., Li, Z.B., Gurney, G.G., Li, S., Li, C., Yin, T., Bian, S., Zhang, J., Han, S., Li, Y.*, Liu, J.*, 2025. Assessing global sustainability performance, imbalance, and coordination over space and time. Nature Communications. (SDG progress)
Fan, B., Zhang, H.K.*, Li, Z.B.*, Xiao, J., Che, X., Liu, Z., Camps-Valls, G., and Chen, J.M., 2025. Estimating carbon fluxes over North America using a physics-constrained deep learning model. ISPRS J PHOTO & RS. (Forest carbon sink or source)
Sun, Y., Wang, M.*, Liu, M., Li, Z.B.*, Chen, Z., and Huang, B., 2024. Continuous Sargassum monitoring across the Caribbean Sea and Central Atlantic using multi-sensor satellite observations. Remote Sensing of Environment. (Ocean surface monitoring)
Li, Z.B., Zhang, Y., and Wang, M., 2023. Solar energy projects put food security at risk. Science. (Renewables expansion)
He, L., Li, Z., Jia, Q., and Xu, Z., 2023. Soil microplastics pollution in agriculture. Science. (Microplastic pollution)
Zhai, Y., Roy, DP., Martins, S., Zhang, H.K., Yan, Li., and Li, Z., 2022. Conterminous United States Landsat-8 top of atmosphere and surface reflectance tasseled cap transformation coefficients. Remote Sensing of Environment.
Jiang, Q., Li, Z., Qu, S., Cui, Y., Zhang, H., and Xu, Z., 2021. High-resolution map of China's sustainability. Resources, Conservation and Recycling.
Li, Z., Roy, D.P., Zhang, H.K., 2021. The incidence and magnitude of the hot-spot bidirectional reflectance distribution function (BRDF) signature in GOES-16 Advanced Baseline Imager (ABI) 10 and 15 minute reflectance over north America. Remote Sensing of Environment.
Lu, P., Qin, Y., Li, Z.*, Mondini, A., and Casagli, N., 2019. Landslide Mapping from Multi-Sensor Data through Improved Change Detection-based Markov Random Field. Remote Sensing of Environment.
Li, Z., Shi, W., Myint, S.W., Lu, P. and Wang, Q., 2016. Semi-automated landslide inventory mapping from bitemporal aerial photographs using change detection and level set method. Remote Sensing of Environment.
Li, Z., Shi, W., Lu, P., Yan, L., Wang, Q. and Miao, Z., 2016. Landslide mapping from aerial photographs using change detection-based Markov random field. Remote Sensing of Environment.
Roy, D.P., Li, Z., Zhang, H.K., Huang, H., 2020. A conterminous United States analysis of the impact of Landsat 5 orbit drift on the temporal consistency of Landsat 5 Thematic Mapper data. Remote Sensing of Environment.
Wang, Q., Shi, W., Li, Z. and Atkinson, P.M., 2016. Fusion of Sentinel-2 images. Remote Sensing of Environment.
Yan, L., Roy, D.P., Li, Z., Zhang, H.K. and Huang, H., 2018. Sentinel-2A multi-temporal misregistration characterization and an orbit-based sub-pixel registration methodology. Remote Sensing of Environment.
Zhang, H.K., Roy, D.P., Yan, L., Li, Z., Huang, H., Vermote, E., Skakun, S. and Roger, J.C., 2018. Characterization of Sentinel-2A and Landsat-8 top of atmosphere, surface, and nadir BRDF adjusted reflectance and NDVI differences. Remote Sensing of Environment.
Roy, D.P., Huang, H., Boschetti, L., Giglio, L., Yan, L., Zhang, H.K., Li, Z., 2019. Landsat-8 and Sentinel-2 burned area mapping - a combined sensor multi-temporal change detection approach. Remote Sensing of Environment.
Roy, D.P., Li, J., Zhang, H.K., Yan, L., Huang, H. and Li, Z., 2017. Examination of Sentinel-2A multispectral instrument (MSI) reflectance anisotropy and the suitability of a general method to normalize MSI reflectance to nadir BRDF adjusted reflectance. Remote Sensing of Environment.