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NC State Soil Science: SSC 545

Remote Sensing Applications
in Soil Science and Agriculture


Dr. Jeffrey G. White, jeff_white@ncsu.edu
3207 Williams Hall; 919-515-2389
Department of Soil Science, Campus Box 7619
North Carolina State University
Raleigh, North Carolina 27695-7619

 

Course Syllabus: Spring 2010

Time: 11:20 am - 12:10 pm
Days: M W F
Building: WMS Room: 2414 (CALS GIS Laboratory)
Instructor: Dr. Jeffrey G. White, Assoc. Prof., Dept. of Soil Science.
WMS 3207. Tel.: 5 2389; E-mail: jeff_white@ncsu.edu. Office hours by appointment.

1. Course goals and objectives:

The overall goal is for students to develop a comprehensive understanding of remote sensing principles and methods and their applications in soil science and agriculture. Secondary objectives are: development of strategies for incorporating remote sensing in students’ research and related areas; and introduction to some practical, hands-on skills for processing, analysis, display, and discussion of remote sensing data with applications in soil science and agriculture. Other objectives include development of skills and experience in reviewing relevant literature, preparation and panel evaluation of proposals for research or applied projects integrating remote sensing; and completion of individual and class remote sensing research exercises and projects.

2. Specific Learning Objectives:

At the end of this course, a student will be able to:

  • Explain what remote sensing is (and is not), outline its history and evolution, and display appropriate vocabulary in explaining the physical principles upon which it is based, i.e., electromagnetic radiation and its interaction with matter.
  • Describe and explain the broad range of remote sensing techniques, instruments, data acquisition formats, systems, and platforms that have applications in soil science and agriculture, including black and white, color, and color-infrared film and digital photography/imaging; multispectral and hyperspectral sensors; electromagnetic induction measurement (EMI) of soil electrical conductivity (EC); ground penetrating radar (GPR); synthetic aperture radar (SAR); thermal infrared imaging/thermography; lidar; passive microwave radiometry; passive gamma-ray spectrometry; and ground, aerial, and satellite/space platforms.
  • Outline and explain the basic principles of acquisition, storage, transmission, processing, and analysis of remotely sensed data, to include the derivation of vegetation and soil indices, unsupervised and supervised image classification and spectral signature development, shape and pattern recognition.
  • Outline and explain how remote sensing has been applied in the past, and may be applied in the future, to soil science and agriculture: past, current, and future applications of remote sensing in soil science and agriculture.
  • Display a working knowledge of the historic and current literature of remote sensing, including the principle journals publishing in the field.
  • Formulate strategies for incorporating remote sensing into the student’s research or area of interest (and in their careers), and write a research or applied project proposal incorporating remote sensing.

3. Textbook:

There is no single textbook for this course. Students will be referred to texts and journal articles on print and electronic reserve at Hill Library, posted on the class website, to other websites, and to software tutorials and documentation.

4. Course organization and scope:

  • Course Overview
  • What is remote sensing? History, evolution, and basic principles and vocabulary.
  • Electromagnetic radiation and its interaction with matter: the foundations of remote sensing.
  • Common principles of remote sensing.
  • Remote sensing techniques with applications in soil science and agriculture:
    • Black & white, color, and color-infrared film and digital photography/imaging;
    • Multispectral and hyperspectral sensors;
    • Electromagnetic induction measurement (EMI) of soil electrical conductivity (EC);
    • Ground Penetrating Radar (GPR);
    • Thermal infrared imaging/thermography;
    • Lidar (light detection and ranging)
    • SAR: Synthetic Aperture Radar;
    • Passive microwave radiometry;
    • Passive gamma ray spectrometry; etc.
    • Ground, aerial, and satellite/space platforms.
  • Remote sensing applications in soil science and agriculture:
    • Soil characterization (e.g., mineralogy, moisture, organic matter) and mapping
    • Land use/Land cover (LULC)
    • Crop acreage reporting
    • Crop biomass/yield, status/stress: nutrient deficiency, toxicity, moisture, weeds, insects, and diseases
    • Precision Agriculture: site specific nutrient, pH, weed, insect, and disease management.
    • Topographic mapping
    • Wetland restoration
    • Water quality;
    • Onsite waste disposal
    • Famine Early Warning Systems (FEWS)
    • Post-harvest processing applications: sorting, grading, quality evalution, numeration.

5. Projected schedule of reading assignments:

Specific reading assignments will be made periodically during the semester from the following materials, among others, which will be on print and electronic reserve at Hill Library:

1. Aerial photography and remote sensing for soil survey.  White, L. P. (Leslie Paul)

2. Aerial-photo interpretation in classifying and mapping soils. United States Soil Conservation Service.

3. Derivation of Leaf-Area Index from Quality of Light on the Forest Floor. Jordan, Carl. Source: Ecology 50 (4): 663-666 (1969). Available Online: Full text online  - pdf    (Requires Adobe Acrobat Reader)

4. Introduction to remote sensing. Campbell, James B.

5. Quantitative Remote Sensing of Soil Properties. Part 1 of 4. Ben-Dor, E. Source: Advances in Agronomy 75:173-243 (2002). Available Online: Full text online - pdf    (Requires Adobe Acrobat Reader)

6. Quantitative Remote Sensing of Soil Properties. Part 2 of 4. Ben-Dor, E. Source:
 Advances in Agronomy 75:173-243 (2002). Available Online: Full text online - pdf    (Requires Adobe Acrobat Reader)

7. Quantitative Remote Sensing of Soil Properties. Part 3 of 4. Ben-Dor, E. Source: Advances in Agronomy 75:173-243 (2002). Available Online: Full text online - pdf    (Requires Adobe Acrobat Reader)

8. Quantitative Remote Sensing of Soil Properties. Part 4 of 4. Ben-Dor, E. Source: Advances in Agronomy 75:173-243 (2002). Available Online: Full text online - pdf    (Requires Adobe Acrobat Reader)

9. Remote sensing in soil science. Mulders, Michel Adrianus.

10. The Tasselled Cap--A Graphic Description of the Spectral-Temporal Development of Agricultural Crops As Seen By Landsat. Kauth, R.J. and G.S. Thomas. Source: Proceedings on the Symposium on Machine Processing of Remotely Sensed Data, pp. 4B-41 - 4B-51. Available Online: Full text online - pdf    (Requires Adobe Acrobat Reader)

11. Modern Aerial Gamma-Ray Spectrometry and Regional Potassium Map of the Conterminous United States. Duval, Joseph S. Source: Journal of Geochemical Exploration 39: 249-253 (1990).  Available Online: Full text online - pdf    (Requires Adobe Acrobat Reader).

6. Coursework: Exams, presentations, papers, projects:

Two hour exams and one final that will cover material presented in the course. Each student will research a mutually agreed upon remote sensing technique(s) and its applications in soil science and agriculture. This will culminate in the development of a brief course module (reading assignments, lecture, exercises, seminar discussion of relevant articles, etc.) for the class.

Development of a brief research or applied proposal for incorporating remote sensing in the student's graduate research, in other research of interest, or an appropriate application, to include an objective that will potentially become the basis of an individual course research project. Each student will give a brief presentation on their proposal, with the class acting as a proposal review panel. If time permits, this may lead to a brief individual remote sensing research project to serve primarily as a hands-on exercise to introduce students to remote sensing data acquisition, processing, analysis.

Class research exercises/project: To develop familiarity with remote sensing data acquisition, processing, and analysis software, students will complete several exploratory exercises in class and for homework using Geographic Information System (GIS) and image processing software: ArcGIS and Leica’s Image Analysis for ArcGIS (potential for exposure to Leica/ERDAS Imagine).

At the end of the course, students are requested to complete the standardized NCSU course evaluation as well as a comprehensive course-specific evaluation questionnaire that I will provide. During and after the course, I welcome any suggestions that you may have for improving course content and facilitating learning.

7. Grades, relative value of the various evaluation components of the course, i.e., the portion of the grade that derives from quizzes, tests, final exam, projects, attendance, etc.:

Attendance and class participation: 10%
Hour exams: 30%
Research/Class Module: 15%
Research Proposal 15%
Homework/Class Exercises/Project: 15%
Final Exam: 15%

Letter grades will be assigned on a percentage basis: 96.7-100 = A+; 93.3-96.6 = A; 89.9-93.2 = A-; 86.5-89.8 = B+; 83.1-86.4 = B; 79.7-83 = B-; 76.3-79.6 = C+; 72.9-76.2 = C; 69.5-72.8 = C-; 66.1-69.4 = D+; 62.7-66 = D; 59.3-62.6 = D- and < 59.3 = F.

8. Policies on incomplete grades and late assignments:

Deadlines are a reality. To help prepare you for your transition from graduate school into the real world, unexcused late assignments will NOT be accepted. Partial credit for partial work will be given, but only for that work submitted by the deadline.

9. Policies on absences (excused and unexcused) and scheduling makeup work:

Class attendance is required. Students should discuss prospective (planned) absences with the instructor beforehand whenever possible, and as soon as possible after unplanned absences in order to schedule makeup work.

10. Course prerequisites or restrictive statements:

SSC 200 or equivalent (basic soils); PY212 College Physics II: Electricity, and magnetism, light, modern physics, or equivalent. Basic familiarity with production agriculture. Students with concerns about course prerequisites should discuss them with the instructor.

11. Academic Integrity Statement:

NCSU policy on academic integrity resides in the Code of Student Conduct (found in NCSU Policies Rules, and Regulations).

By participation in this course, students acknowledge tacitly the utilization and implication of the Honor Pledge: “I have neither given nor received unauthorized aid on this test or assignment.”

It is the instructor's understanding and expectation that the student's signature on or submission of any test or assignment means that the student neither gave nor received unauthorized aid. For additional information, please visit the website of the Office of Student Conduct

From the NCSU Policies, Rules, and Regulations, “Code of Student Conduct”:

“7. ACADEMIC INTEGRITY
    7.1 The free exchange of ideas depends on the participants' trust that they will be given credit for their work. Everyone in an academic community must be responsible for acknowledging their use of others’ words, research results, and ideas, using the methods accepted by the appropriate academic disciplines. Since intellectual workers' words and ideas constitute a kind of property, plagiarism is like theft.

    7.2 Furthermore, as a reader you may want to follow other writers' paths of research in order to make your own judgements about their evidence and arguments. You will depend on those writers' accuracy and honesty in reporting their sources. In turn, your readers will depend on yours.

    7.3 The free exchange of ideas also depends on the participants' trust that others' work is their own and that it was done and is being reported honestly. Intellectual progress in all the disciplines demands the truthfulness of all participants.

    7.4 Plagiarism and cheating are attacks on the very foundation of academic life, and cannot be tolerated within universities.”

Section eight (8) of the Code defines academic dishonesty and provides information on potential sanctions for violators of academic integrity.

12. NCSU Policy on Students with Disabilities:

Reasonable accommodations will be made for students with verifiable disabilities. In order to take advantage of available accommodations, students must register with Disability Services for Students on-line or at 1900 Student Health Center, Campus Box 7509, 515-7653. For more information on NC State's policy on working with students with disabilities, please see the Academic Accommodations for Students with Disabilities Regulation (REG02.20.1)

13. Statement on Laboratory Safety and Risk Assumption

All students are expected to exercise proper safety precautions in the classroom/laboratory. Safety guidelines will be reviewed during the first class, and as required during the semester. In this laboratory, the primary safety concerns are ergonomics and electricity. Our classroom, the CALS GIS Laboratory, contains numerous computer workstations. While this classroom is not expected to present any hazard beyond which might be expected in a normal classroom, this equipment is valuable, fragile, and must be treated accordingly. There is a great deal of electrical energy coursing through this classroom, so students should exercise the same and ordinary prudence afforded any electrical device. There is the potential for two optional field trips within the Raleigh/RTP area, in which students participate at their own risk.

14. Statement on "pass through" charges:

There may be two optional field trips to sites within the Raleigh/RTP area. There may be nominal charges to offset some direct expenses of these field trips. Students will not be penalized if unable to participate.

15. Student Conduct:

The NCSU Code of Student Conduct describes the kind of student behavior that disrupts and inhibits the normal functioning of the University and the actions that the University will take to protect the community from such disruption. It is your duty as a member of the University community to read, understand, and adhere to the Code of Student Conduct: http://www.ncsu.edu/policies/student_services/student_discipline/POL11.35.1.php

North Carolina State University is committed to providing all students with an educational experience and background that will serve as a platform for success in future professional and personal endeavors. A learning environment that fosters professionalism is central to accomplishing these objectives. For this reason, activities such as drinking, eating, sleeping, tobacco chewing, smoking, or reading of non class materials or any other activities that are disruptive to the classroom or laboratory learning environment will not be tolerated. You can be asked to leave the class for the remainder of the class period if these rules are violated. In addition, it is important to recognize that the equipment and classroom facilities used in our teaching endeavors are the property of the tax payers of North Carolina and as such, will be treated with respect.

16. Educational Philosophy:

This course will be conducted utilizing principles of collaborative, participatory learning. What does that mean? Learning by teaching yourself, learning by doing, learning from others, learning by teaching others, guided discovery, with me, your fellow students, and guest lecturers as guides. One of my goals is to minimize the amount of time that I speak in the classroom, and maximum the time that you, the students, speak. This will be accomplished by you asking questions and delivering course modules, prepared presentations of literature research, research proposals, and participating in research proposal evaluation. You will be responsible for discussing (and in some cases developing PowerPoint presentations on): yourself, your background, and interests; your thesis/dissertation research; your understanding of what remote sensing is and what it might mean to your research and your career; a selected remote sensing technology and some of its applications; your remote sensing research proposal; evaluation of several research proposals; and, potentially, development/execution of an individual remote sensing research project.

We will attempt to make this as “paperless” a course as possible. With some exceptions, students should submit all assignments in digital form, either via the website or email, as directed. Most lectures and exercises will be posted to the website as the course progresses.

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