RemoteSensing

Seminar

Chris J. JohannsenAugust 24, 2005

AGRY 598G

Expectations of our Students

Students are expected to:

Attend the seminars through thesemester.

Present a 5-minute presentation oftheir research or a remote sensingtopic at the end of the semester.

1) Interact with professionals workingwith remote sensing, GPS, and GIS

2) Hear and see the latest informationabout spatial technologies

3) Provide opportunities to explorefuture career paths

Purposes of our Seminars

Provide a forum for students to:

Today’s Topic - “Good and Not as GoodExamples”

Items to consider for a Seminar Presentation:• Colors that you can use: Depends on the background

• Size of “font”

• Graphics that will support your efforts

• Tables of data

• Customizing your slide presentations

• The medium through which your Seminar is traveling

• How to Keep your Audience’s Interest

Today’s Topic - “Good and Not as GoodExamples”

Items to consider for a Seminar Presentation:• Colors that you can use: Depends on the background

• Size of “font”

• Graphics that will support your efforts

• Tables of data

• Customizing your slide presentations

• The medium through which your Seminar is traveling

• How to Keep your Audience’s Interest

Today’s Topic - “Good and Not as GoodExamples”

Items to consider for a Seminar Presentation:• Colors that you can use: Depends on the background

• Size of “font”

• Graphics that will support your efforts

• Tables of data

• Customizing your slide presentations

• The medium through which your Seminar is traveling

• How to Keep your Audience’s Interest

Today’s Topic - “Good and Not as GoodExamples”

Items to consider for a Seminar Presentation:• Colors that you can use: Depends on the background

• Size of “font”

• Graphics that will support your efforts

• Tables of data

• Customizing your slide presentations

• The Distance that your Seminar is traveling

• How to Keep your Audience’s Interest

Size of Font

28 - Depends on presentation - keep verbage to a minimum

32 - Depends on presentation

36 - Depends on presentation

40 - Depends on presentation

44 - Depends on presentation

48 - Depends on presentation

Size16 - Depends on presentation - keep verbage to a minimum as you don’t have much space on a slide

Purdue Terrestrial Observatory(PTO)

Purdue TerrestrialObservatory (PTO)

Sample Applications: Precision Farming Homeland Security Disaster Intervention Forestry & Ecology Urban Planning Epidemiology Oceanography Industrial Development Geology & Mineralogy

Real-Time Remote Sensing Data

Participating DepartmentsAgronomyAg. & Biological EngineeringAgricultureAgricultural EconomicsAtmospheric ScienceChemistryCivil EngineeringComputer ScienceEarth & Atmospheric SciencesElectrical & Computer Eng.Center for the EnvironmentForestry & Natural ResourcesITaPManagementNuclear Engineering

Data Storage

ComputationalResearch Infrastructure

• I-Light– State investment by

Indiana to purchaseoptical fiber infrastructure

– 1-2 Gigabit/sec– Application pending to

enhance national gridconnectivity to 10Gigabits

– Enhanced researchcapabilities including testbed environment anddistributed terascalecomputing

• Staff expertise in perceptualization tools and technologies• Partnerships with researchers to create new tools, technologies and

to support applications• Interdisciplinary (14+ departments)

Envision Center

Table Error! No text of specified style in document.–1. Basic statistics of yield estimation methods for each study site.

Method Mean Median Min. Max. SD Pixels < 0†

______________ Mg ha-1 ______________

DPAC P, N = 44412

O

K

4

.

5

9

4

.

6

3

0

.

0

1

1

3

.

3

7

2

.

1

9

D

E

C

R

4

.

6

8

4

.

6

7

-

1

.

0

0

1

1

.

3

3

2

.

0

3

4

2

S

K

L

M

4

.

6

5

4

.

7

1

-

0

.

8

8

1

3

.

3

5

2

.

2

4

1

3

2

Woodman, N = 23365

O

K

9

.

5

9

9

.

8

9

0

.

0

7

1

2

.

5

6

1

.

4

8

D

E

C

R

9

.

6

1

1

0

.

0

1

0

.

4

3

1

2

.

7

8

1

.

3

1 0

S

K

L

M

9

.

5

9

9

.

9

3

-

0

.

9

6

1

3

.

0

2

1

.

4

6 8

DPAC E, N = 16863

O

K

8

.

3

2

8

.

2

2

0

.

2

0

1

3

.

6

3

2

.

0

6

Yield Estimation Statistics

Method r2 RMSEOrdinary Kriging 0.714*** 1.152

DECRa 0.808*** 0.952

SKLMb 0.823*** 0.943

a: Discretization, Extraction, Classification and Regression

b: Simple Kriging with varying Local Means

Farming - 10 years agoBasic Premise: A field was treated as a unit >Tillage was uniform across the field >Seeding involved one variety >Applied one rate of fertilizer >Applied one rate of pesticide >Yields were estimated based on volume

Farming Today

Basic Premise: Specific variations withinthe field are a potential unit

• Variable tillage by soil type, relief, etc• Adjust seed variety and rates on the go• Adjust fertilizer rate according to soil tests• Apply variable rate of pesticides• Scouting accomplished by walking the fields –

known variations• Remote Sensing images through the season –

scouting, nutrients, drainage, yield, etc.• Yield maps showing variation by location

Farming Tomorrow

Sensors to measure soil and plantcharacteristics to vary inputs

Crop specialty – bred for specific newcharacteristics

Timed release of fertilizer, chemicals, and otherinputs

Variable harvest techniques Improved software for automating management

decisions

Basic Premise: If you can measure it, it’sa potential management unit

Outline of Student Seminars

Background

Hypothesis and Objectives

Research Approach and Analysis

Results (or Preliminary Results)

Conclusions (or Expected Conclusions)

www.lars.purdue.edu

www.lars.purdue.edu/seminar

RemoteSensing

Seminar

Are there anyQuestions orSuggestions?