AGRO 500, CRN 17419
Special Topics in Agronomy
Remote Sensing Use in Agriculture and
Forestry
New Mexico State University
Instructor: Drs. Junming Wang and Ted W. Sammis, (jwang@nmsu.edu) phone 646-3239 Skeen Hall
N337 Office Hr M 2:30-3:30
Spring 2007
Gerald Thomas Hall (GT) 183
Monday, 9:30-10:20am
1 credit
Pre-requisite: None.
http://hydrology1.nmsu.edu/Teaching_Material/Agro500/Agro500.htm
Course Description
This course will overview up-to-date remote sensing application in agriculture and forestry. This course provides basic principles and applications of remote sensing stresses of water and pests and remote sensing vegetation characteristics in crops, grasses, and forests using satellite data. This course gives demonstrations in the interdisciplinary areas of Agronomy, Horticulture, Biology, Pest Management, and Geography. It is designed as a close complement to AGRO 550 Section M05, Special Topics: Remote sensing for water issues. Both courses meet in the same room, AGRO 500 on Monday and BIOL 550/05 on Wednesday and Friday. Either course can be taken separately; taking both courses is encouraged as being synergistic. To help you decide, I have appended a brief flier for BIOL 550/05.
Goals
At the end of this course, you
will:
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1. Be familiar with the up-to-date technique application in agriculture and forestry; |
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2. Understand the basic principles of sensing plant response to stresses of water and pests, and sensing vegetation characteristics in crops, grasses and forests using satellite data. |
Topics for the Class
January,
22, 2007
Why the subject is important
Introduction to traditional and satellite methods in estimating stress: water and pests, and in estimating vegetation characteristics.
Reference paper: Review paper of Remote sensing use in forestry
Reference paper: Special Issue on Global Land Product Validation.. IEEE Transactions on Geosciences and Remote Sensing, July 2006, volume 44, number 7 (will be provided by the instructor).
Reference papers: Proceedings of the Tenth Forest Service Remote Sensing Applications Conference Salt Lake City, Utah ~ April 5-9 2004 (will be provided by the instructor).
January,
29, 2007
Reference book: Chapter 2 (Electromagnetic Radiation) in Introduction to Remote Sensing, Fourth Edition by James B. Campbell. This book has been reserved for this course at Zuhl Library.
February,
05, 2007
February,
12, 2007
Reference paper: Evaluation of the Consistency of Long-Term NDVI Time Series Derived From AVHRR, SPOT-Vegetation, SeaWiFS, MODIS,and Landsat ETM+ Sensors
Molly E. Brown, Jorge E. Pinzón,
Kamel Didan, Jeffrey T. Morisette, and
February,
19, 2007
Reference paper: Evaluating MODIS, MERIS, and VEGETATION Vegetation Indices Using In Situ Measurements in a Semiarid Environment
Rasmus Fensholt,
Inge Sandholt, and Simon Stisen, 2006
February,
26, 2007
Reference paper:
Lu, D. 2006.The potential and challenge of remote sensing-based biomass estimation. Journal of Remote Sensing. Vol. 27. No. 7: 10 April 2006, 1297-1328
7.Forest damage mapping (beetle infestation)
NDVI and SAVI
variation with different soil and vegetation backgrounds
March, 5, 12 and 26, 2007
Reference paper:
Wulder et al., 2005. Remote sensing in the survey of mountain pine beetle impacts:
Review and recommendations. Information Report
BC-X-401. Natural Resources
Spring break: March
19-23
April 2, 2007
Yang, Wenze, Dong Huang, Bin Tan, Julienne C. Stroeve, Nikolay V. Shabanov, Yuri Knyazikhin, Ramakrishna R. Nemani, and Ranga B. Myneni. 2006. Analysis of Leaf Area Index and Fraction of PAR Absorbed by Vegetation Products From the Terra MODIS Sensor: 2000–2005. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 44, NO. 7, JULY 2006. 1829-1842.
Homework: Please download one GPP data set at:
http://redhook.gsfc.nasa.gov/~imswww/pub/imswelcome/
Tutorial video:
April 9 and 16, 2007
Turner, David P. , William David Ritts, Maosheng Zhao, Shirley A. Kurc, Allison L. Dunn, Steven C. Wofsy, Eric E. Small, and Steven W. Running. 2006. Assessing Interannual Variation in MODIS-Based Estimates of Gross Primary Production. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 44, NO. 7, JULY 2006. 1899-1907.
April 23
Reference paper: Leblon, B. 2005. Monitoring forest fire danger with remote sensing. Natural Hazards. 35:343-359.
Reference paper: Validation of Active Fire Detection From
Moderate-Resolution Satellite Sensors: The MODIS Example in Northern Eurasia
Ivan A. Csiszar, Jeffrey T. Morisette,
and Louis Giglio, 2006
April 30
Reference papers:
http://ams.confex.com/ams/pdfpapers/92016.pdf
Thomas J. Schmugge, William P. Kustas, Jerry C. Ritchie, Thomas J. Jackson,
Al Rango. 2002. Remote sensing in hydrology. Advances in Water Resources 25 (2002) 1367–1385.
Excel excise sheets and tutorial materials
Course structure:
Part of the course is a set of lectures. The lecture material will typically be posted on the course Web site. It will be developed from both the text (see blow) and my own synthesis of the literature and my own research (lecture topics are listed in the above section). A second part of the course will be methodology literature search by students (homework). The search will be for classic methodologies mentioned in the lectures and cited by the textbooks (see below). A methodology summary (one-page) will be required for each search. The summary should mention: what satellites were used in the methodology, what were the equations, and what was the accuracy.
We will make selected summaries on the Web site public, serving as a resource for learning about remote sensing use in agriculture and forestry.
Textbooks:
The following textbooks will be provided by the instructor.
1.
IEEE Transactions on Geosciences and Remote Sensing, July 2006, volume 44, number 7. A Special Issue on Global Land Product Validation. (will be provided by the instructor )
2.
Proceedings of the
3.
I reserved one book for our class (AGRO500) at Zuhl Library:
Introduction to Remote Sensing, Fourth Edition by James B. Campbell
In lecture 2 (Satellite
data introduction: electromagnetic radiation), I use some materials from
this book (Chapter 2: Electromagnetic radiation).
If you want to know more basics about remote sensing in addition to the lectures, you can read this book.
Grade:
Lively discussion is very
desirable, and 40% of the grade will be based on class participation. The 60%
of the grade will be based on the summaries. There are no exams for this class.
Companion course
BIOL 550, Section M05
Special Topics: Remote sensing for water issues
Spring 2007
CRN 12848
Gerald Thomas Hall (GT) 183
Wednesday and Friday, 9:30-10:20
2 credits
Instructor: Prof. Vincent Gutschick
Tel. 646-5661 Email vince@nmsu.edu
Prerequisites: undergraduate basic physics and calculus; knowledge of geographic information systems and biology is helpful but not required.
This course combines 1) a survey of a wide variety of water issues that can be addressed by remote sensing, 2) an exposition of the basic physical processes on land and water surfaces, and 3) an exposition of the principles of remote sensing for several specific tasks, including estimating evapotranspiration. Both satellites and aircraft will be discussed, as will sensors, data retrieval, and data processing with models of physical processes. The course is intended for geographers, agriculturalists, physicists, biologists, and resource managers, and it is designed as a close complement to AGRO 500, Special Topics in Agronomy, Remote Sensing Use in Agriculture and Forestry. Both courses meet in the same room, AGRO 550 on Monday and BIOL 550/05 on Wednesday and Friday. Either course can be taken separately; taking both courses is encouraged as being synergistic.
Course activities include lectures, reading of original literature, and student projects. A full syllabus will be made available before the semester begins. Inquiries about the course are welcome; please contact Prof. Gutschick at 646-5661 or vince@nmsu.edu. His Website is http://biology-web.nmsu.edu/vince.