Events for March 2, 2017 - November 16, 2017
March 2017
A Mission Flexible and Effective System for Remote Sensing Using Multi-Sensor Unmanned Air Systems
This presentation details the development and demonstration of fixed-wing unmanned aircraft systems for precision agriculture tasks.
Read MoreFrom Ground Sensors to Satellites: Three-Dimensional Remote Sensing of Vegetation Structure
This seminar will review liDAR remote sensing from all three platforms – ground, air, and space, and will focus on applications for assessing vegetation biophysical parameters and three-dimensional structure.
Read MoreApril 2017
Touching Spatio-Temporal Data Through Haptic Robots. Adding More ‘Sense’ to GIS
This presentation will introduce the use of haptic robots to ‘touch’ spatially distributed data of complex mulit-variate systems. The technology to dive into these systems has been developed by the Haptic group at the Stochastic Geomechanics Laboratory (SGL).
Read MoreEffect of Land Use Change on Flows and Floodplains in the Houston Area
The effect of urbanization on stream flows and floodplain extent in the rapidly developing Whiteoak and Sims Bayou watersheds in the Houston area, Texas, is studied.
Read MoreSeptember 2017
Risk Assessment for Landslides Using Bayesian Networks and Remote Sensing
LiDAR derived information such as a Digital Terrain Model (DTM) and a Canopy Height Model (CHM) from a selected area of the Oregon Coast Range was used to develop a set of hazard and risk index maps.
Read MorePayload Directed Flight For Near Real-Time Decision Support Assessing Spatio-Temporal Scale- Dependencies for Earth Science
This presentation summarizes the current, in development, and planned future capabilities of the Vehicle Systems & Control Laboratory with respect to payload directed flight in support of Earth science data collection.
Read MoreOctober 2017
Advanced Geomorphometric Approaches for Understanding Mountain Environments
The relationship between topographic form and surface process, though qualitatively well-understood, is numerically poorly characterized. Identifying, mapping, and characterizing surface processes using machine visualization and automation demands that topographic forms be formalized in mathematical language and that relationships to the polygenetic heritage of geomorphic form be evaluated in a hierarchical, context-sensitive manner.
Read MoreGround Penetrating Radar: Uncovering the ‘Hidden Half’
Alfredo Delgado Deparment of Soil and Crop Sciences, Texas A&M University Graduate Student Abstract GPR is an existing and rapidly evolving technology that can be used as a high throughput, non-destructive-3‐dimensional imaging method – for quantifying root mass. With the ability to detect subtle differences in the soil media, GPR has often been utilized as a small cross-section near-surface object detection tool. GPR technology has been utilized to nondestructively image…
Read MoreNovember 2017
Advances in LiDAR Data Processing: From Waveform to Photon Counting LiDAR
the overall goal of the research is to develop algorithms for FW and PCL data processing to explore their potential in real-world applications such as tree species identification and to quantify the uncertainty of model building, data processing, and applications steps.
Read MoreZ-Curve: A Geographical Projection of GNSS (Global Navigation Satellites Systems) Signal, Time, and Position
This talk presents a novel geometric model to characterize the zero-crossing curve (or z-curve) for the signals emitted by a pair of GNSS satellites, which is the intersection of the Earth surface and the z‐surface that has zero difference in its pseudoranges to the two satellites.
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