The field of geospatial data analysis is moving towards increased automation and accuracy in reconstructing and enriching building and infrastructure models. Recent developments have focused on leveraging multimodal data sources, such as street-level imagery and crowdsourced data, to improve the extraction of objective building attributes and semantic descriptors. Novel frameworks and methods have been proposed to integrate diverse open datasets, automate the detection of building facades, and infer comprehensive building attributes. Additionally, there has been a push towards generating simulation-ready 3D thermal models and reconstructing view-centric CAD models from single RGB-D scans. Noteworthy papers include OpenFACADES, which introduces an open framework for enriching building profiles with objective attributes and semantic descriptors, and Thermoxels, which proposes a voxel-based method for generating simulation-ready 3D thermal models. CADCrafter is also notable for its ability to generate parametric CAD models from unconstrained real-world images.