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Identifying Potential Plantation Sites for Hybrid Hazelnut Identifying Potential Plantation Sites for Hybrid Hazelnut

Identifying Potential Plantation Sites for Hybrid Hazelnut - PowerPoint Presentation

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Identifying Potential Plantation Sites for Hybrid Hazelnut - PPT Presentation

Frank Falzone Ross Meyer FR 3262 10December2012 Outline Hybrid hazels in context Desired project output Data acquisition Procedures Accuracy assessment Results Limitations and potential revisions ID: 565684

unused pasture desired accuracy pasture unused accuracy desired grass classes classified results polygon roads county assessment processing pre classification

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Slide1

Identifying Potential Plantation Sites for Hybrid Hazelnut Production in a Micro-Cooperative Context

Frank

Falzone

Ross Meyer

FR 3262

10.December.2012Slide2

OutlineHybrid hazels in context

Desired project output

Data acquisition

Procedures

Accuracy assessment

Results

Limitations and potential revisionsSlide3

Hybridization trials

Hybrid Hazels: The Future is Nuts

Current industry and EFB

Current state of

midwest

industrySlide4

Potential Plantation Sites

Currently underutilized land

Along regularly driven routes

Semi-rural residential or hobby farm

Away from road salt zone

At least 1/20

th acreSlide5

Procedure Outline - Data

Download shapefiles of streets, county

roads, major

roads

, and

parcels of Hennepin County

Clip shapefiles to general AOI

PLSS sections containing regularly traveled roadsSlide6

Area of interest:Portions of Maple Grove, Corcoran,

Rogers, St. Michael, Hanover, MNSlide7

Pre-processingDissolve desired sections into 1 polygon

Begin selecting and exporting features not desired

Parcels less than 1.5 acres

Roads with a 55, 75, or 150 foot

buffer, depending on road size

Erase these undesired areas Slide8
Slide9
Slide10

Pre-processing continued

Convert single polygon shapefile into multi-polygon

Delete small

polygon fragmentsSlide11

Pre-processingDownload 4 band

CIR

imagery for Hennepin County 2008 from

MNGeo

(NAIP)

Contained information for the small

portion

of our AOI in Wright County

Summer aerial photographsOne meter spatial resolutionSlide12

Classification

Open in ERDAS to run supervised classification

Classes:

Grass

Unused pasture

Agriculture

Developed

Open waterForestSlide13

Classified Image SampleSlide14

Accuracy Assessment

 

 

Number of Pixels Classified as -

 

Om.

Prod.

Ref. Class

Forest

Ag

Developed

Unused

Grass

Total

Error

Acc. (%)

Forest

9

2

0

1

0

12

25

75

Ag

3

11

0

7

0

21

47.62

52.38

Developed0030030100Unused0104052080Grass01053966.6733.33Total1215317350nanaCo. Error2526.67076.470nananaUser Acc.%7573.3310023.53100nana60

60% overall Accuracy with Grass and Unused Pasture as individual classesSlide15

Accuracy Assessment Continued

 

 

Number of Pixels Classified as -

 

Om.

Prod.

Ref. Class

Forest

Ag

Developed

Unused/Grass

Total

Error (%)

Acc. (%)

Forest

9

2

0

1

12

25

75

Ag

3

11

0

7

21

47.62

52.38

Developed

0

0

3030100Unused/Grass020121414.2985.71Total121532050nanaCo. Error (%)2526.67040nananaUser Acc. %7573.3310060nana7070% Overall Accuracy with Unused Pasture and Grass as a combined classSlide16

Results

Total classified acres of suitable land:

1383 grass

1983

unused pastureSlide17

ResultsSlide18

ResultsSlide19

Limitations / Possible Improvements

Classification

Use spring/fall imagery for certain classes

More training sites

Better definition of desired classes

Area of interest filtering

Split grass/unused pasture polygons along parcel lines and remove those patches less than 1/20

th acre in a single parcelSlide20

Questions?