RSVP: Remote Sensing Visualization Platform for Data Fusion

Remote sensing involves the acquisition of data in terms of images, point clouds and so on. One of the major challenges with remote sensing datasets is managing and understanding the massive amounts of data that is collected. In many instances, scientists acquire data for the same region using varied sensing devices. Scientists would like to fuse and examine this data acquired from different sensing devices to further explore the region under investigation. Immersive visualization has emerged as an ideal solution for three-dimensional exploration of multimodal remote sensing data. The ability to manipulate data interactively in true 3D (using stereo) with interfaces designed specifically for the immersive environment can significantly speed up the exploration process. We have developed a visualization platform that facilitates the fusion of multiple modalities of remote sensing data and allows a scientist to learn more about the data obtained from different sensing devices. It is currently being used in research labs at Idaho State University and at the Idaho National Labs

Visualisation of LiDAR data on the web

LiDAR technology and better computer capabilities have recently enabled rapid development in the area of environment detection and monitoring. However, such data often lacks additional information such as colour and surface normal direction. This thesis describes an upgrade of web point cloud viewer Potree and the process of adding information to existing datasets. The first step was to add missing points on the water surfaces to the point cloud using a topographic map. Then we added colour information from the orthophoto images. The last step was to calculate normals using the principal component analysis. The viewer can correctly shade the point cloud depending on the defined position of the sun. The position is calculated from the time and date, selected by the user. The system was also analysed. We measured transformation speed and rendering performance. Prepared data comprises a part of Slovenia and is available online

Detection of architectural intervention opportunities in vulnerable areas to small oscillations of sea level. Strategies to projects its adaptation

La presente investigación establece cómo hacer uso de herramientas digitales, para la detección, cartografía y visualización de territorios amenazados por leves oscilaciones en el nivel del mar y su posibilidad de adaptación, en contraposición a estrategias de defensa o de retirada en el territorio inundable. El cambio climático, el contexto actual y la previsión de futuro basada en datos obtenidos de agencias gubernamentales y espaciales, mediante el uso de software basado en SIG, será una herramienta esencial para la detección de estas áreas vulnerables. La revisión, catalogación y estudio de utopías arquitectónicas que puedan adaptarse a entornos acuáticos de manera sostenible en cualquiera de sus tres posicionamientos (sumergidas, flotantes o elevadas), formará parte de los intereses y objetivos de esta investigación.This research establishes how to use digital tools for the detection, mapping and visualization territories threatened by slight variations in sea level and their ability to adapt, as opposed to defensive strategies or withdrawal in the flooded area. Climate change, current context and future forecast based on data from government agencies and space through the use of GIS-based software will be an essential tool for the detection of these vulnerable areas. The review, documentation and study of architectural utopias that can adapt to aquatic environments sustainably in any of the three positions (submerged, floating or high) will be part of the interests and objectives of this research