Course 2 remote sensing for morphodynamics

To date, Dr. This work has applications for coastal and wind erosion monitoring, dust emissions mitigation and air quality control, climate change impacts and adaptation planning, land use and protected areas management, and ecosystem restoration. This program supports many productive research internships, interdisciplinary training, and job-ready skills development for students, post-docs, and visiting researchers. Psyche Inspired. Ian Walker. School Of Earth and Space Exploration.

Mailcode Bio Research Teaching. Fax CV Walker-CV-long Education Ph. Google Scholar Google Scholar Profile. Research Group Dr. Accepted May Anticipated release Sept. Aeolian windblown sand transport over beaches.

Chapter Sandy Beach Morphodynamics. ISBN: The role of large woody debris in beach-dune interaction. Journal of Geophysical Research: Earth Surface. Aeolian sand transport and deposition patterns within a large woody debris matrix fronting a foredune. Geomorphology Topographic change and numerically modelled near surface wind flow in a bowl blowout.Remote sensing is the examination of an area from a significant distance. It is used to gather information and imaging remotely. This practice can be done using devices such as cameras placed on the ground, ships, aircraft, satellites, or even spacecraft.

Today, data obtained through remote sensing is usually stored and manipulated with computers. The science of remote sensing began in when Gaspard-Felix Tournachon first took aerial photographs of Paris from a hot air balloon.

The first government-organized air photography missions were developed for military surveillance during World Wars I and II. However, it was during the Cold War that remote sensing was most widely used. This field of study has developed since its beginning to become the highly-sophisticated method of indirect information acquisition that it is today. Satellites were developed during the late 20th century and are still used to gain information on a global scale, even about planets in the solar system.

The Magellan probe, for example, is a satellite that has been using remote sensing technologies to create topographic maps of Venus since May 4th of Today, small remote sensors such as cameras and satellites are used by law enforcement and the military in both manned and unmanned platforms to gain information about an area. Other modern remote sensing methods include infra-red, conventional air photography, and Doppler radar imaging.

Each type of remote sensing is differently suited for analysis—some are optimal for closer scanning and some are much more advantageous from great distances. Perhaps the most common type of remote sensing is radar imaging. Radar imaging can be used for important safety-related remote sensing tasks. One of the most important uses is for air traffic control and weather detection.

This can tell analysts whether adverse weather is on its way, how storms are progressing, and. Doppler radar is a common type of radar that can be used both to collect meteorological data and by law enforcement to monitor traffic and driving speeds.

Other types of radars can create digital models of elevation. Another type of remote sensing involves lasers. Laser altimeters on satellites measure factors like wind speed and the direction of ocean currents. Altimeters are also useful for seafloor mapping as they are capable of measuring bulges of water caused by gravity and seafloor topography.

Varied ocean heights can be measured and analyzed to create accurate seafloor maps. This method measures distances using light reflection and is most famously utilized for weapons ranging.

course 2 remote sensing for morphodynamics

LIDAR can also measure chemicals in the atmosphere and heights of objects on the ground. Uses for remote sensing are diverse but this field of study is mainly conducted for image processing and interpretation. Image processing allows photos to be manipulated so that maps can be created and important information saved about an area. By interpreting images obtained through remote sensing, an area can be closely studied without anyone needing to be physically present, making the research of dangerous or unreachable areas possible.

Remote sensing can be applied to various fields of study. The following are just a few applications of this continually-developing science. Because of its varied applications and ability to allow users to collect, interpret, and manipulate data from inaccessible locations, remote sensing has become a useful tool for all researchers regardless of concentration. Share Flipboard Email. Amanda Briney. Geography Expert. Amanda Briney is a professional geographer. She holds an M. Updated November 25, Enroll now!

Learn more. In this chapter, you will learn about various options for multispectral remote sensing data and the advantages and disadvantages of these data options. In the previous weeks of this course, you learned about lidar remote sensing.

If you recall, a lidar instrument is an active remote sensing instrument. This means that the instrument emits energy actively rather than collecting information about light energy from another source the sun. This week you will work with multispectral imagery or multispectral remote sensing data. Multispectral remote sensing is a passive remote sensing type. This means that the sensor is measuring light energy from an existing source - in this case the sun.

course 2 remote sensing for morphodynamics

To better understand multispectral remote sensing you need to know some basic principles of the electromagnetic spectrum.

A spectral remote sensing instrument collects light energy within specific regions of the electromagnetic spectrum. Each region in the spectrum is referred to as a band. Remote sensing data can be collected from the ground, the air using airplanes or helicopters or from space. You can imagine that data that are collected from space are often of a lower spatial resolution than data collected from an airplane.

The tradeoff however is that data collected from a satellite often offers better up to global coverage. For example the Landsat 8 satellite has a 16 day repeat cycle for the entire globe.

This means that you can find a new image for an area, every 16 days. It takes a lot of time and financial resources to collect airborne data. Thus data are often only available for smaller geographic areas. Also, you may not find that the data are available for the time periods that you need.

For example, in the case of NAIP, you may only have a new dataset every years.This syllabus is divided into several sections. You can read it sequentially by scrolling down the length of the document. That being said, it is essential that you read the entire document as well as material covered in the Orientation. Together, these serve the role of our course "contract.

John A. A graduate level course focusing on remotely sensed data for geospatial applications. This course assumes that students have prior knowledge in the basics of remote sensing, mapping, and GIS, and have experience with geospatial software, particularly ArcGIS.

Students will develop a strong understanding of the tools and techniques used to display, process, and analyze remotely sensed data. Upon completion of GEOG students will be able to develop analytical workflows to derive products and extract information from remotely sensed data for a broad range of applications.

The culmination of this course is an independent final project in which students will demonstrate their ability to apply new skills to a real-world situation of personal or professional interest. GEOG,or equivalent professional experience. A strong working knowledge of desktop geospatial software e. ArcGIS is expected of students who register for this course.

Students who do not meet these prerequisites may be disenrolled according to Administrative Policy C-5 if you do not have the proper prerequisite override. If you have not completed the listed prerequisites, then promptly consult with the instructor if you have not done so already. Students who re-enroll after being disenrolled, according to this policy, are in violation of Item 15 of the Student Code of Conduct. The course is specifically designed for adult professionals and is offered exclusively through the World Campus and the John A.

Students who register in the course for credit will complete an orientation lesson and seven content lessons with corresponding hands-on assignments, quizzes, and online discussions, in addition to a final project. Throughout the course, students confront realistic problem scenarios that will test their ability to apply the tools and techniques covered in the course. Students who register in the course for credit will complete seven lessons with corresponding hands-on assignments, online discussions, and a final project.

Throughout the course, students confront realistic problem scenarios that incorporate such skills and concepts as defining needs, metadata content standards, data formats and types, and analysis methods. This course will require a minimum of hours of student activity per week. You will be glad to know you don't have to show up for class at a certain time as the class is self-paced, but you will have to meet assignment deadlines.

Each lesson consists of a combination of reading assignments from the course website and required textbook, video demonstrations, and links to external materials that may assist you.

Quizzes are periodically offered to test your comprehension of this material.Learn a job-relevant skill that you can use today in under 2 hours through an interactive experience guided by a subject matter expert.

Access everything you need right in your browser and complete your project confidently with step-by-step instructions. Take courses from the world's best instructors and universities. Courses include recorded auto-graded and peer-reviewed assignments, video lectures, and community discussion forums.

Remote Sensing Group

Enroll in a Specialization to master a specific career skill. Learn at your own pace from top companies and universities, apply your new skills to hands-on projects that showcase your expertise to potential employers, and earn a career credential to kickstart your new career.

Benefit from a deeply engaging learning experience with real-world projects and live, expert instruction. If you are accepted to the full Master's program, your MasterTrack coursework counts towards your degree. Transform your resume with an online degree from a top university for a breakthrough price. Our modular degree learning experience gives you the ability to study online anytime and earn credit as you complete your course assignments.

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Remote Sensing 2

No results found for "remote sensing". University of Toronto. Beginner Level Beginner. Data Science: Foundations using R. Johns Hopkins University. University of California, Davis. Imagery, Automation, and Applications. Mixed Level Mixed.

Remote Sensing 2

Ecosystem Services: a Method for Sustainable Development. University of Geneva. Intermediate Level Intermediate. The University of Chicago. Database systems. Fundamentals of Digital Image and Video Processing. Northwestern University.

Disaster Risk Management and Korean Policies. Yonsei University. Oceanography: a key to better understand our world.

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Earth Data Analytics Online Certificate

Geospatial Analysis Project. Business intelligence and data warehousing.

course 2 remote sensing for morphodynamics

Introduction to GIS Mapping. Maps and the Geospatial Revolution. The Pennsylvania State University. Life, Health and Radiation. The University of Sydney. Designing data-intensive applications.Morphological changes in coastal areas, especially in river estuaries, are of high interest in many parts of the world. Satellite data from both optical and radar sensors can help to monitor and investigate these changes. So the creation of digital elevation models DEMs of, for example, the wadden sea from a series of satellite images is already possible.

ENVISAT, successfully launched on March 1,continues the line of higher resolution synthetic aperture radar SAR imaging sensors with its ASAR instrument and now also allows several polarization modes for better separation of land and water areas. This article gives an overview of sensors and algorithms for waterline determination as well as several applications.

Both optical and SAR images are considered. Applications include morphodynamic monitoring studies and DEM generation. This is a preview of subscription content, log in to check access. Rent this article via DeepDyve. A waterline is the instantaneous land—water boundary at the time of the imaging process. A coastline or shoreline is the waterline at the highest possible water level.

Bamler R, Hartl P Synthetic aperture radar interferometry. Inverse Probl R1—R Pattern Recogn Lett — Int J Remote Sens Submitted. Jensen JR Introductory digital image processing: a remote sensing perspective, 2nd edn. Prentice Hall, Englewood Cliffs. Google Scholar. Korean J Remote Sens 17 2 — Wiley, New York.

Remote Sensing Basics

Photo Eng Rem Sens 70 5 — Estuar Coast Shelf S — Rausch J Analysis of morphological changes in the Dithmarschen bight based on topographic, radar and optical data.

Sabins FF Jr Remote sensing—principles and interpretation. Freemann, New York. Download references. Correspondence to Andreas Niedermeier. Reprints and Permissions. Niedermeier, A.Wildfires are a natural and essential part of our ecosystem, recycling soil nutrients and renewing healthy forests. In Alaska, around one million acres km2 burn every year, and record years have seen as many as six million acres burned.

Most of these fires are allowed to spread naturally. However, when wildfires occur near population centers, they can be a serious threat to the safety and well-being of people. Recent disastrous fire seasons in Alaska, California, and Australia have shown how communities near forests, in what is known as the Wildland Urban Interface WUIare increasingly at risk due to hotter and drier summer weather caused by climate change.

In the fight to protect these communities, remote sensing technology has become essential. Wildfire analysts use satellite imagery and powerful computer programs to predict fire risk, detect fires early, and monitor their spread.

After a wildfire is extinguished, remote sensing is used to analyze the impact of a fire and to guide sustainable restoration efforts. Students will learn about wildfire behavior, and get hands-on experience with tools and resources used by professionals to create geospatial maps that support firefighters on the ground. Receive an instructor-signed certificate with the institution's logo to verify your achievement and increase your job prospects.

Add the certificate to your CV or resume, or post it directly on LinkedIn. Give yourself an additional incentive to complete the course. EdX, a non-profit, relies on verified certificates to help fund free education for everyone globally.

Environmental Studies. Video Transcript:. Course Type:. Share this course Share this course on facebook Share this course on twitter Share this course on linkedin Share this course via email. Prerequisites None. Interested in this course for your Business or Team? Train your employees in the most in-demand topics, with edX for Business.

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