TAMUS UAS Rules and Regulations
TAMUS UAS Flight Application Workshop Presentation 12.11.18
TAMUS Flight Authorization Application
24.01.07 Unmanned Aircraft Systems (UAS)
24.01.01 Risk Management Programs
AgriLife Risk and Compliance Web Page
Helpful FAA Weblinks
Part 107 Study Material
Remote Pilot- sUAS Study Guide- FAA
Free Drone Cert Study Guide- YouTube video
Remote Drone Pilot License Resources- 3dr.com
Airspace Maps
Texas A&M University UAS / Remote Sensing Related Classes: (College Station Campus)
GEOG 477, Terrain Analysis and Mapping
Credits 4. 3 Lecture Hours. 2 Lab Hours.
Geomorphometry for land surface characterization; fundamentals of terrain analysis; theory of land surface dynamics; application of software for digital terrain modeling and analysis.
Prerequisites: GEOG 361 and GEOG 390 or equivalents, or approval of instructor; junior or senior classification.
ESSM 689, Unmanned Aerial Systems (UAS) for Remote Sensing (NEW Spring 2019)
Credits 3. 2 Lecture Hours. 2 Lab Hours.
Recent years have seen a proliferation of Unmanned Aerial Systems (UAS) or drones of different shapes, capability and use. Given the low cost and flexibility of carrying various sensor
payloads, UAS are now an emerging tool for image data collection for researcher, students and practitioners in various disciplines. This course introduces students to the fundamental
components of small unmanned aerial systems (sUAS), sensors and platforms, UAS operational concepts, the principles of UAS data collection, the legal framework within which UAS should
be operated and applied, data processing software and the generation of orthomosaics and 3D point clouds. The course emphasizes the use of UAS in a broad spatial sciences, technology and applications context, including vegetated ecosystems.
ESSM 444, Remote Sensing of the Environment
Credits 3. 2 Lecture Hours. 3 Lab Hours.
Principles and techniques necessary for applying remote sensing to diverse issues in studying and mapping land uses and land covers of the terrestrial environment; emphasizes a hands-on learning approach with theoretical foundations and applications in both aerial and satellite remote sensing, using optical and lidar datasets.
Prerequisite: Junior or senior classification or approval of instructor.
ESSM 655, Remote Sensing of the Environment
Credits 3. 2 Lecture Hours. 1 Lab Hour.
Remote sensing for the management of renewable natural resources; use of aerial photography and satellite imagery to detect, identify and monitor forest, range and agricultural resources; utilize remotely sensed data as input to computerized information management systems.
Prerequisite: Graduate classification.
ESSM 656, Advanced Remote Sensing
Credits 3. 2 Lecture Hours. 1 Lab Hour.
Advanced techniques for information extraction using airborne and satellite imagery; active and passive sensors characteristics; customizing and developing image processing tools for remote sensing applications for a broad range of sensors and applications.
Prerequisites: ESSM 655, RENR 444, GEOG 651, GEOG 661.
ECEN 447, Digital Image Processing
Credits 4. 3 Lecture Hours. 3 Lab Hours.
Improvement of pictorial information using spatial and frequency domain techniques; two-dimensional discrete Fourier transform; image filtering, enhancement, restoration, compression; image processing project.
Prerequisites: Grade of C or better in ECEN 314; junior or senior classification.
ECEN 642, Digital Image Processing
Credits 3. 3 Lecture Hours.
Digital Image Processing techniques; stresses filtering, transmission and coding; fast transform techniques; convolution and deconvolution of model noise.
Prerequisites: ECEN 447 and ECEN 601.
ECEN 649, Pattern Recognition
Credits 3. 3 Lecture Hours.
Introduction to the underlying principles of classification, and computer recognition of imagery and robotic applications.
Prerequisites: MATH 601 and/or STAT 601 and approval of instructor.
CVEN 423, Geomatics for Civil Engineering
Credits 3. 2 Lecture Hours. 3 Lab Hours.
Use of GIS, GPS, Survey and Remotely-sensed data integrated with predictive models for infrastructure management systems.
Prerequisite: CVEN 303 or approval of instructor.
CVEN 602, Remote Sensing in Hydrology
Credits 3. 3 Lecture Hours.
Precipitation; evaporation; soil moisture; snow and ice; terrestrial water storage variations; land surface properties; water quality.
