Publications

Primary references

Wu, Y., Knudby, A., & Lapen, D. (2023). Topography-adjusted Monte Carlo simulation of the adjacency effect in remote sensing of coastal and inland waters. Journal of Quantitative Spectroscopy and Radiative Transfer, 108589. https://doi.org/10.1016/j.jqsrt.2023.108589

Wu, Y., Knudby, A., Pahlevan, N., Lapen, D., & Zeng, C. (2024). Sensor-generic adjacency-effect correction for remote sensing of coastal and inland waters. Remote Sensing of Environment, 315, 114433. https://doi.org/10.1016/j.rse.2024.114433

Studies using T-Mart

Giardino, C., Pahlevan, N., Fabbretto, A., Panizza, L., Pellegrino, A., Vandermeulen, R., Gianinetto, M., Adriaensen, S., Agten, J., Bernert, H., De Keukelaere, L., Harmel, T., Heege, T., Knudby, A., Schenk, K., Steinmetz, F., Sterckx, S., Vanhellemont, Q., Wu, Y., … Gascon, F. (2025). ACIX-III Aqua: Evaluation of atmospheric correction for hyperspectral PRISMA imagery over inland and coastal waters. International Journal of Remote Sensing, 1–25. https://doi.org/10.1080/01431161.2025.2574517

Hu, Y., Zhan, H., He, Q., & Zhan, W. (2025). Assessment of Atmospheric Correction Algorithms for Landsat-8/9 Operational Land Imager over Inland and Coastal Waters. Remote Sensing, 17(17), 3055. https://doi.org/10.3390/rs17173055

Lion, V., Robran, B., Kroth, F., & Oppelt, N. (2025). The adjacency effect in optical remote sensing: A review on emergence, implications, and corrections for aquatic high-contrast environments. Science of The Total Environment, 1004, 180769. https://doi.org/10.1016/j.scitotenv.2025.180769

Xu, J., Cao, Z., Chen, P., & Duan, H. (2025). Assessment of land adjacency effect correction on deriving aquatic reflectance over river waters from Landsat-8/9 and Sentinel-2 imagery. Optics Express, 33(21), 43561. https://doi.org/10.1364/OE.572553