PhD Assistantship in Remote Sensing University of Georgia

Description: I am seeking a PhD student interested in working on remote sensing science for forestry applications at the Warnell School of Forestry and Natural resources, University of Georgia. The successful candidate will work on research related to the assessment of understory vegetation in the coastal plain region of the Southern United States. This research project will provide the opportunity for the student to potentially test a variety of remote sensing data, including multispectral and hyperspectral satellite and UAV derived imagery, as well as terrestrial and aerial lidar data. The assistantship is expected to start in Spring 2021 (January 11, 2021).

Qualifications: Applicants with a masters' degree or bachelor's degree, with relevant research or work experience, are encouraged to apply. Programming and modeling are expected to be the core for data processing, and generation of results during the development of the student research and dissertation, therefore having previous knowledge on how to code in any programming language (including R) will be a plus, and the ability to work independently will be desirable. Excellent written and oral communication skills are expected.

Stipend and Benefits: The graduate student under this assistantship will receive an annual stipend of $22,645/yr for a 40% or 16 hours/week appointment, a full tuition waiver, and partial coverage of student health insurance.

About: The Warnell School of Forestry and Natural Resources (http://www.warnell.uga.edu/) is the oldest forestry school in the Southern United States, counts with more than 70 faculty working in diverse fields, and provides exemplary training of students in the fields of forestry, ecology, and conservation biology. The School is housed in a four-building complex on campus and has over 23,000 acres in the state for research, teaching, and service activities. The University of Georgia (http://www.uga.edu/) is a "land-grant and sea-grant university, and is also the state's oldest, most comprehensive and most diversified institution of higher education". The University of Georgia is an affirmative action and equal opportunity employer.

To Apply: If interested, please send an email to Dr. Alicia Peduzzi apeduzzi@uga.edu and attach your CV and a paragraph with a brief description of your research and career interests, along with a copy of your GRE score (if available). Review of the applications will begin immediately and will continue until position is filled. A full application to the Graduate School will be required for an official offer to be made. More information can be found at https://grad.uga.edu/index.php/prospective-students/.

Vineesh V
Assistant Professor of Geography,
Directorate of Education,
Government of Kerala.
https://www.facebook.com/Applied.Geography
http://geogisgeo.blogspot.com

Comments

Atmospheric Window

The atmospheric window in remote sensing refers to specific wavelength ranges within the electromagnetic spectrum that can pass through the Earth's atmosphere relatively unimpeded. These windows are crucial for remote sensing applications because they allow us to observe the Earth's surface and atmosphere without significant interference from the atmosphere's constituents. Key facts and concepts about atmospheric windows: Visible and Near-Infrared (VNIR) window: This window encompasses wavelengths from approximately 0. 4 to 1. 0 micrometers. It is ideal for observing vegetation, water bodies, and land cover types. Shortwave Infrared (SWIR) window: This window covers wavelengths from approximately 1. 0 to 3. 0 micrometers. It is particularly useful for detecting minerals, water content, and vegetation health. Mid-Infrared (MIR) window: This window spans wavelengths from approximately 3. 0 to 8. 0 micrometers. It is valuable for identifying various materials, incl

DRA Disaster Risk Assessment

Disaster Risk Assessment (DRA): A Professional Overview Disaster Risk Assessment (DRA) is a systematic process used to identify, analyze, and evaluate the potential hazards, vulnerabilities, and risks posed by disasters to people, property, infrastructure, and the environment. It is a critical tool for effective disaster risk management, enabling communities, organizations, and governments to make informed decisions and implement appropriate mitigation measures. Key Components of DRA Hazard Identification: Identifying the types of hazards that could potentially affect a specific area, such as natural disasters (earthquakes, floods, cyclones), technological disasters (industrial accidents, infrastructure failures), or man-made disasters (conflicts, pandemics). Vulnerability Assessment: Evaluating the susceptibility of people, infrastructure, and the environment to the identified hazards. This involves assessing factors such as location, construction quality, socio-economic co

Linear Arrays Along-Track Scanners or Pushbroom Scanners

Multispectral Imaging Using Linear Arrays (Along-Track Scanners or Pushbroom Scanners) Multispectral Imaging: As previously defined, this involves capturing images using multiple sensors that are sensitive to different wavelengths of electromagnetic radiation. Linear Array of Detectors (A): This refers to a row of discrete detectors arranged in a straight line. Each detector is responsible for measuring the radiation within a specific wavelength band. Focal Plane (B): This is the plane where the image is formed by the lens system. It is the location where the detectors are placed to capture the focused image. Formed by Lens Systems (C): The lens system is responsible for collecting and focusing the incoming radiation onto the focal plane. It acts like a camera lens, creating a sharp image of the scene. Ground Resolution Cell (D): As previously defined, this is the smallest area on the ground that can be resolved by a remote sensing sensor. In the case of linear array scanne

Discrete Detectors and Scanning mirrors Across the track scanner Whisk broom scanner.

Multispectral Imaging Using Discrete Detectors and Scanning Mirrors (Across-Track Scanner or Whisk Broom Scanner) Multispectral Imaging: This technique involves capturing images of the Earth's surface using multiple sensors that are sensitive to different wavelengths of electromagnetic radiation. This allows for the identification of various features and materials based on their spectral signatures. Discrete Detectors: These are individual sensors that are arranged in a linear or array configuration. Each detector is responsible for measuring the radiation within a specific wavelength band. Scanning Mirrors: These are optical components that are used to deflect the incoming radiation onto the discrete detectors. By moving the mirrors, the sensor can scan across the scene, capturing data from different points. Across-Track Scanner or Whisk Broom Scanner: This refers to the scanning mechanism where the mirror moves perpendicular to the direction of flight. This allows for t

Hazard Vulnerability Exposure Risk

Key Concepts in Hazard Identification, Vulnerability Assessment, Exposure Assessment, and Risk Analysis Hazard-Exposure-Vulnerability-Risk (HEVR) Framework: Hazard: A potential event or phenomenon that can cause harm. Exposure: People, assets, or environments in harm's way. Vulnerability: Susceptibility to damage or harm from a hazard. Risk: The potential for loss or damage resulting from the interaction of hazards, exposure, and vulnerability. Risk as a Function: Risk can be calculated using the formula: Risk = Hazard × Vulnerability × Exposure. Reducing any of these factors can decrease overall risk. Types of Hazards: Natural hazards: Earthquakes, floods, tsunamis, landslides, hurricanes. Anthropogenic hazards: Industrial accidents, pollution, infrastructure failure, climate change. Technological hazards: Nuclear accidents, chemical spills. Vulnerability Dimensions: Physical: Infrastructure quality, building codes, location. Social: Age, income, disability, gender, acces

Vineesh V, Geography

Search This Blog