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Use of Multispectral Imagery for Variable Rate “Application-zone” Identification in Cotton Production Tim Sharp Beltwide Cotton Conference January 6-10, 2003
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Use of Multispectral Imagery for Variable Rate “Application-zone” Identification in Cotton Production Tim Sharp Beltwide Cotton Conference January 6-10,

Dec 23, 2015

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Page 1: Use of Multispectral Imagery for Variable Rate “Application-zone” Identification in Cotton Production Tim Sharp Beltwide Cotton Conference January 6-10,

Use of Multispectral Imagery for Variable Rate “Application-zone” Identification

in Cotton Production

Tim Sharp

Beltwide Cotton Conference

January 6-10, 2003

Page 2: Use of Multispectral Imagery for Variable Rate “Application-zone” Identification in Cotton Production Tim Sharp Beltwide Cotton Conference January 6-10,

1. Introduction

Researchers have been trying to identify the correct management zones based mainly on the variability of the crop yield.

Airborne multispectral imaging of cotton can provide important spatial information

Spatial variations in crop vigor can be observed in green, red and near infrared wavebands

Multispectral images can be used to monitor the spatial and temporal changes in the growth of crops

Page 3: Use of Multispectral Imagery for Variable Rate “Application-zone” Identification in Cotton Production Tim Sharp Beltwide Cotton Conference January 6-10,

Objective

The purpose of this study was to investigate the use of multispectral imagery

• As a tool to map cotton vigor zones

• Test the hypothesis that imagery from one year would map the zones in subsequent years (Zones are stable in time and space)

• Could these maps be a tool for variable rate application prescriptions in the following year

Page 4: Use of Multispectral Imagery for Variable Rate “Application-zone” Identification in Cotton Production Tim Sharp Beltwide Cotton Conference January 6-10,

2. Material & Methods

• Positioning System– GPS NAVMAN / IPAQ

• Softwares– COTMAN– Farm Site Mate– ERDAS Image– SSToolbox– SAS

• Imagery Acquisition– Duncan’s camera (Green, Red, Near Infrared bands)– 0.5 to 1.5 meter resolution images were utilized

Page 5: Use of Multispectral Imagery for Variable Rate “Application-zone” Identification in Cotton Production Tim Sharp Beltwide Cotton Conference January 6-10,

Field Data Collected

• Standard Data by productivity zone

– Stand

– Height

– Total Nodes

– Total Bolls

• Yield Map Data

• Total Final Plant Maps

Page 6: Use of Multispectral Imagery for Variable Rate “Application-zone” Identification in Cotton Production Tim Sharp Beltwide Cotton Conference January 6-10,

3. Results and Discussion

IMAGE x NDVI - Barn

- Moose Lodge- Traveler Rest

Page 7: Use of Multispectral Imagery for Variable Rate “Application-zone” Identification in Cotton Production Tim Sharp Beltwide Cotton Conference January 6-10,

3. Results and Discussion

Barn 9 - 2001

Low Medium

High

Low Medium

High

Page 8: Use of Multispectral Imagery for Variable Rate “Application-zone” Identification in Cotton Production Tim Sharp Beltwide Cotton Conference January 6-10,

NDVI x NDVI – Barn

R2 = 0.5261

0.0

0.1

0.2

0.3

0.4

0.5

0.6

0.0 0.1 0.2 0.3 0.4 0.5

NDVI 2001

ND

VI 2

00

2

NDVI 2002

NDVI 2001

Page 9: Use of Multispectral Imagery for Variable Rate “Application-zone” Identification in Cotton Production Tim Sharp Beltwide Cotton Conference January 6-10,

3. Results and Discussion

Moose Lodge 2 - 2002

Low

Medium

HighLow

Medium

High

Page 10: Use of Multispectral Imagery for Variable Rate “Application-zone” Identification in Cotton Production Tim Sharp Beltwide Cotton Conference January 6-10,

NDVI x NDVI – Moose Lodge

R2 = 0.6176

0.0

0.1

0.2

0.3

0.4

0.5

0.6

0.0 0.1 0.2 0.3 0.4 0.5

NDVI 2001

ND

VI 2

00

2

NDVI 2002

NDVI 2001

Page 11: Use of Multispectral Imagery for Variable Rate “Application-zone” Identification in Cotton Production Tim Sharp Beltwide Cotton Conference January 6-10,

3. Results and Discussion

Traveler’s Rest 1 - 2002

Low

Medium

High

Low

Medium

High

Page 12: Use of Multispectral Imagery for Variable Rate “Application-zone” Identification in Cotton Production Tim Sharp Beltwide Cotton Conference January 6-10,

NDVI x NDVI – Traveler’s Rest

R2 = 0.69470.0

0.1

0.1

0.2

0.2

0.3

0.3

0.4

0.4

0.5

0.5

0.0 0.1 0.2 0.3 0.4 0.5 0.6

NDVI 2001

ND

VI 2

00

2

NDVI 2001

NDVI 2002

Page 13: Use of Multispectral Imagery for Variable Rate “Application-zone” Identification in Cotton Production Tim Sharp Beltwide Cotton Conference January 6-10,

3. Results and Discussion

Wildy 4 – 2002 (Irrigated)

Low

MediumHigh

Low

MediumHigh

Page 14: Use of Multispectral Imagery for Variable Rate “Application-zone” Identification in Cotton Production Tim Sharp Beltwide Cotton Conference January 6-10,

NDVI x Yield – Wildy (Irrigated)

R2 = 0.7827

0.0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7

NDVI 2001

ND

VI 2

00

2

Yield 1998

NDVI 2002

Page 15: Use of Multispectral Imagery for Variable Rate “Application-zone” Identification in Cotton Production Tim Sharp Beltwide Cotton Conference January 6-10,

3. Results and Discussion

Year 2001 vs Year 2002- Stand- Height

- Total Nodes- Total Bolls

Page 16: Use of Multispectral Imagery for Variable Rate “Application-zone” Identification in Cotton Production Tim Sharp Beltwide Cotton Conference January 6-10,

3. Results and Discussion

MOOSE LODGE

BARN

TRAVELERS REST

A A A0.0

0.6

1.2

1.8

2.4

3.0

L M H

NDVI Zones

Sta

nd (

plan

ts/fo

ot)

AAA0.0

0.8

1.6

2.4

3.2

L M H

NDVI Zones

Sta

nd (

plan

ts/fo

ot)

A A A0.0

0.8

1.6

2.4

3.2

L M H

NDVI Zones

Sta

nd (

plan

ts/fo

ot)

STAND 2001 vs 2002

Tukey's Studentized Test with alpha at 5% - Means with the same letter are not significantly different.

Page 17: Use of Multispectral Imagery for Variable Rate “Application-zone” Identification in Cotton Production Tim Sharp Beltwide Cotton Conference January 6-10,

3. Results and DiscussionBARN

C B A0.0

10.0

20.0

30.0

40.0

50.0

L M H

NDVI Zones

Hei

ght (

inch

es)

MOOSE LODGE TRAVELERS REST

C B A0.0

10.0

20.0

30.0

40.0

50.0

L M H

NDVI Zones

Hei

ght (

inch

es)

ABC0.0

10.0

20.0

30.0

40.0

50.0

L M H

NDVI Zones

Hei

ght (

inch

es)

HEIGHT 2001 vs 2002

Tukey's Studentized Test with alpha at 5% - Means with the same letter are not significantly different.

Page 18: Use of Multispectral Imagery for Variable Rate “Application-zone” Identification in Cotton Production Tim Sharp Beltwide Cotton Conference January 6-10,

3. Results and DiscussionBARN

ABC0.0

5.0

10.0

15.0

20.0

L M H

NDVI Zones

Tota

l Nod

es

MOOSE LODGE TRAVELERS REST

B A A0.0

5.0

10.0

15.0

20.0

L M H

NDVI Zones

Tota

l Nod

es

ABC0.0

5.0

10.0

15.0

20.0

L M H

NDVI Zones

Tota

l Nod

es

TOTAL NODES2001 vs 2002

Tukey's Studentized Test with alpha at 5% - Means with the same letter are not significantly different.

Page 19: Use of Multispectral Imagery for Variable Rate “Application-zone” Identification in Cotton Production Tim Sharp Beltwide Cotton Conference January 6-10,

3. Results and DiscussionBARN

B A A0.0

2.0

4.0

6.0

8.0

L M H

NDVI Zones

Tota

l Bol

ls (

bolls

/pla

nt)

MOOSE LODGE TRAVELERS REST

B B A0.0

4.0

8.0

12.0

L M H

NDVI Zones

Tota

l Bol

ls (

bolls

/pla

nt)

AAB0.0

2.0

4.0

6.0

8.0

L M H

NDVI Zones

Tota

l Bol

ls (

bolls

/pla

nt)

TOTAL BOLLS2001 vs 2002

Tukey's Studentized Test with alpha at 5% - Means with the same letter are not significantly different.

Page 20: Use of Multispectral Imagery for Variable Rate “Application-zone” Identification in Cotton Production Tim Sharp Beltwide Cotton Conference January 6-10,

Summary and Conclusions

Page 21: Use of Multispectral Imagery for Variable Rate “Application-zone” Identification in Cotton Production Tim Sharp Beltwide Cotton Conference January 6-10,

Summary and Conclusions

• Some researchers have reported in other areas of the country that zones change position.– May be due to wet soil conditions– May not have enough total variability in the

field to fully express zone identity• In our study the medium zones may or may not be

significantly different from either the low or high zone from one year to the next

Page 22: Use of Multispectral Imagery for Variable Rate “Application-zone” Identification in Cotton Production Tim Sharp Beltwide Cotton Conference January 6-10,

In West Tennessee

• Zones did not move from year to year.– With over 100 fields studied across three years– Final Plant Map data were collected from each

of the five NDVI classed zones in each field– We never found that the low classed NDVI

zone or the High Classed NDVI zone were incorrectly identified

– Confirmation plots agreed completely with research site data

Page 23: Use of Multispectral Imagery for Variable Rate “Application-zone” Identification in Cotton Production Tim Sharp Beltwide Cotton Conference January 6-10,

Implications

• NDVI classed maps obtained after 550 DD60 NAWF 5 but prior to defoliation– Will accurately map the productivity zones for

the following years– Will allow for the opportunity to plan Variable

Rate Applications based on those classed maps in subsequent years

– Correctly maps and predicts the cotton vigor to be expressed in those areas

Page 24: Use of Multispectral Imagery for Variable Rate “Application-zone” Identification in Cotton Production Tim Sharp Beltwide Cotton Conference January 6-10,

Acknowledgements

• National Cotton Council

• National Science Foundation