land cover game lps16.ppt

16
A Crowdsourcing-based game for land cover validation Brovelli, Maria Antonia(1); Celino, Irene (2); Molinari, Monia (1); Venkatachalam, Vijay Charan (1) (1) Politecnico di Milano, (2) CEFRIEL bit.ly/foss4game

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A Crowdsourcing-based game for land cover validation

Brovelli, Maria Antonia(1); Celino, Irene (2); Molinari, Monia (1); Venkatachalam, Vijay Charan (1)

(1) Politecnico di Milano, (2) CEFRIEL

bit.ly/foss4game

Problem Setting

● When different products are compared there are lots of disagreement● Which product is correct ?● Disagreement overall

Target

● To evaluate the classification quality of GlobeLand30 on the Italian area this dataset has been compared with more accurate Italian land cover maps.

● To develop an interactive WebGIS with gaming environment for the crowdsourcing-based validation of the non-coherent pixels.

 

DataSet

DUSAF(Destinazione d’Uso dei Suoli Agricoli e Forestali )● Scale 1:10'000 ● Updated through aerial photo interpretation.● Currently available in five releaseshttp://www.ersaf.lombardia.it/servizi/Menu/dinamica.aspx?idArea=16914&idCat=17254&ID=17254

Global Land30● 30 meters resolution ● Landsat (TM and ETM+) and HJ-1 satellites images .● pixel-object-knowledge-based (POK-based)

http://globallandcover.com/GLC30Download/index.aspx

Citizen Science● Public involvement

▪ To produce scientific data▪ To conduct experiments

Human Computation

● Human Computation Systems aim to solve the problems that are trivial for humans, but very challenging for computer programs.

● There are different types of Human computation systems▪ Incentive by money - Amazon Mechanical Turk ▪ Incentive by fun - Games with a Purpose▪ You have no other choices - CAPTCHA/reCAPTCHA

Land Cover Validation Game - Architecture

Land Cover Validation Game

Client ( JavaScript- Angular-Leaflet directives)

Web Portal

(PHP, Apache webserver with Linux)

Authentication

MySQL DatabaseQGIS

DUSAF

GL30

Disagreement

map

Geoserver

(CGR orthophotos)

Accuracy Assessment - Milano

Coherent

pixels

Non-coherent

pixels

Overall Accuracy

[%]

Disagreement

[%]

2000 173219 28758 85.76 14.24

2010 174604 27240 86.50 13.50

Ground Truth DUSAF 1.1  1 2 3 4 5

GL30 (2000)

1 134025 4020 989 26 267

2 11950 38139 4026 31 601

3 4677 2076 456 0 49

4 0 0 0 0 0

5 30 3 13 0 599

Ground Truth DUSAF 4.1  1 2 3 4 5

GL30 (2010)

1 138952 3199 557 0 441

2 12597 34425 2508 0 340

3 6799 635 371 0 37

4 0 0 0 0 0

5 89 26 12 0 856

CONTINGENCY TABLE

Coherent

pixels

Non-coherent

pixels

Overall Accuracy

[%]

Disagreement

[%]

Sample

Size

2000 33416 8022 80.60 19.40 1340

2010 33318 8120 80.50 19.60 1208

CONTINGENCY TABLE Accuracy Assessment - Como

Ground Truth DUSAF 4.1

  1 2 3 4 5

GL30 (2010)

1 16629 1340 2626 0 1312 917 1644 872 29 93 1177 835 12824 79 464 0 0 0 0 05 57 0 2 0 2221

LAND COVER VALIDATION GAME

Evaluation of Game

(Game ability to engage Players)

(Game ability to find an agreement on pixels’ classification)

User Analysis

● Reputation of the players

Pixel Analysis

Complicated Pixels

• The land cover validation game is a novel interactive system that allows citizen

scientists to validate land cover maps while having fun.

• The Confidence level of the GlobeLand30 and DUSAF dataset is obtained.

• The More the player , the higher the number of validated pixels.

Conclusion

Thank You and Play!

bit.ly/foss4game

[email protected]