PLOTO research was presented at the ISPRS – International Society for Photogrammetry and Remote Sensing Technical Commission III Mid-term Symposium on Remote Sensing in Belém, Brazil in November 2024. The proceedings of the event are now available online and in our library!
Enhancing Fluvial Modeling and Flood Prediction Accuracy through the Fusion of 3D Point Clouds, Multispectral, and RGB Data leverages the integration of diverse remote sensing datasets to improve modelling precision and predictive capabilities, contributing to more resilient infrastructure and effective flood response strategies. This research leverages the integration of diverse remote sensing datasets to improve modeling precision and predictive capabilities, contributing to more resilient infrastructure and effective flood response strategies.
This contribution will be relevant for all researchers interested in the following topics: HEC-HMS, DEM, 3D Point Cloud, Multispectral Data, and Data Fusion.
Read it here or in our library!
How to cite the article: Skamantzari, M., Kourtis, I., Bellos, V., Kopsiaftis, G., and Rallis, I.: Enhancing Fluvial Modeling and Flood Prediction Accuracy through the Fusion of 3D Point Clouds, Multispectral, and RGB Data, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-3-2024, 507–512, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-507-2024, 2024.
