vegetation classification on prathong island, phang nga , thailand
DESCRIPTION
Vegetation classification on Prathong Island, Phang Nga , Thailand. Naiyana Srichai & Chanida Suwanprasit Faculty of Technology and Environment, Prince of Songkla University, Phuket Campus. APAN 33 rd Meeting 13-17 February 2012. Introduction. - PowerPoint PPT PresentationTRANSCRIPT
![Page 1: Vegetation classification on Prathong Island, Phang Nga , Thailand](https://reader035.vdocuments.mx/reader035/viewer/2022062519/5681527d550346895dc0aafc/html5/thumbnails/1.jpg)
Vegetation classification on Prathong Island, Phang Nga, Thailand
Naiyana Srichai & Chanida Suwanprasit
Faculty of Technology and Environment, Prince of Songkla University, Phuket Campus
APAN 33rd Meeting 13-17 February 2012
![Page 2: Vegetation classification on Prathong Island, Phang Nga , Thailand](https://reader035.vdocuments.mx/reader035/viewer/2022062519/5681527d550346895dc0aafc/html5/thumbnails/2.jpg)
2
•vegetation type study date back to the Nineteenth Century : ecologists, plant geographers, vegetation scientists
•three major determinants of vegetation-competition, stress and disturbance (Grime, 1974)
Introduction
![Page 3: Vegetation classification on Prathong Island, Phang Nga , Thailand](https://reader035.vdocuments.mx/reader035/viewer/2022062519/5681527d550346895dc0aafc/html5/thumbnails/3.jpg)
Objectives
•To classify vegetation on Prathong Island, Phang Nga province, southern Thailand
3
![Page 4: Vegetation classification on Prathong Island, Phang Nga , Thailand](https://reader035.vdocuments.mx/reader035/viewer/2022062519/5681527d550346895dc0aafc/html5/thumbnails/4.jpg)
Study area: Prathong Island, Phang Nga THAILAND
7th biggest island 1.5 km off the coastSize : width 9.7 kmlength 15.4 kmArea : 92 sq.km
Unseen Thailand 2002 deer,
hornbill, adjutant stork, green turtle, dugong
4
![Page 5: Vegetation classification on Prathong Island, Phang Nga , Thailand](https://reader035.vdocuments.mx/reader035/viewer/2022062519/5681527d550346895dc0aafc/html5/thumbnails/5.jpg)
5
Wild orchids
79 spp.
Local plants
96 spp.
Local vegetables
65 spp.
Source: Dept.of Marine and Coastal Resources, 2005
![Page 6: Vegetation classification on Prathong Island, Phang Nga , Thailand](https://reader035.vdocuments.mx/reader035/viewer/2022062519/5681527d550346895dc0aafc/html5/thumbnails/6.jpg)
6
11 Mammals spp.
86 Reptiles spp.
137 Birds
> 20 Freshwater animals
Source: Dept.of Marine and Coastal Resources, 2005
![Page 7: Vegetation classification on Prathong Island, Phang Nga , Thailand](https://reader035.vdocuments.mx/reader035/viewer/2022062519/5681527d550346895dc0aafc/html5/thumbnails/7.jpg)
7
Koh Ra
Koh Prathong
Source: Dept.of Marine and Coastal Resources, 2005
Koh Ra19 households109 people
Tong Dab village49 households272 people
Tha Paeyow123 households409 people
Pak Jok87 households134 people
![Page 8: Vegetation classification on Prathong Island, Phang Nga , Thailand](https://reader035.vdocuments.mx/reader035/viewer/2022062519/5681527d550346895dc0aafc/html5/thumbnails/8.jpg)
8
Koh Ra and Prathong Size 71,000 Rais or 92 sq.km
Mangrove 32% (green)
Beach forest 7% (orange)
Swamp forest 13% (pink)
Tropical forest 13% (Koh Ra,purple)
Grassland 8% (yellow)
Beach 26 km (orange)Seagrass 4,550 Rais (blue)
Coral 43 Rais (lighter green)
Source: Dept.of Marine and Coastal Resources, 2005
![Page 9: Vegetation classification on Prathong Island, Phang Nga , Thailand](https://reader035.vdocuments.mx/reader035/viewer/2022062519/5681527d550346895dc0aafc/html5/thumbnails/9.jpg)
9
Swamp forest Grassland
Beach forestMangrove forest
![Page 10: Vegetation classification on Prathong Island, Phang Nga , Thailand](https://reader035.vdocuments.mx/reader035/viewer/2022062519/5681527d550346895dc0aafc/html5/thumbnails/10.jpg)
10
Tsunami 26 Dec. 2004Area affected : 18.55 % (6.25% agricultural,92.88% others)
![Page 11: Vegetation classification on Prathong Island, Phang Nga , Thailand](https://reader035.vdocuments.mx/reader035/viewer/2022062519/5681527d550346895dc0aafc/html5/thumbnails/11.jpg)
11
Vegetation change after Tsunami
Fragile landSalt tolerant tree invasion Casuarina equisetifolia
![Page 12: Vegetation classification on Prathong Island, Phang Nga , Thailand](https://reader035.vdocuments.mx/reader035/viewer/2022062519/5681527d550346895dc0aafc/html5/thumbnails/12.jpg)
12
Data set: THEOS Multispectral Achieved on 19 Jan 2009 Spatial Resolution 15 m
Spectral Band Wavelength (m)
Band 0 (Blue) 0.45-0.52
Band 1 (Green) 0.53-0.60
Band 2 (Red) 0.62-0.69
Band 3 (NIR) 0.77-0.90
![Page 13: Vegetation classification on Prathong Island, Phang Nga , Thailand](https://reader035.vdocuments.mx/reader035/viewer/2022062519/5681527d550346895dc0aafc/html5/thumbnails/13.jpg)
13
THEOS Spectral bands
Band 0 (Blue) Band 1 (Green) Band 2 (Red) Band 3 (NIR)
![Page 14: Vegetation classification on Prathong Island, Phang Nga , Thailand](https://reader035.vdocuments.mx/reader035/viewer/2022062519/5681527d550346895dc0aafc/html5/thumbnails/14.jpg)
14
Classes
• Grassland• Beach forest• Mangrove forest• Wetland (swamp forest)• Water• Other
THEOS image 2009
Image Classification
Maximum Likelihood (MLC)
Support Vector Machines (SVMs)
Pre-image processing
Vegetation Mapping
Process Outline
![Page 15: Vegetation classification on Prathong Island, Phang Nga , Thailand](https://reader035.vdocuments.mx/reader035/viewer/2022062519/5681527d550346895dc0aafc/html5/thumbnails/15.jpg)
15
Support Vector Machines•SVMs : a supervised classifier, which
requires training samples but SVMs are not relatively sensitive to training sample size (works with limited quantity and quality).
•The SVM-based approach used a recursive procedure to generate prior probability estimates for known and unknown classes by adapting the Bayesian minimum-error decision rule (Mountrakis,et.at. 2011; Fauvel 2008).
![Page 16: Vegetation classification on Prathong Island, Phang Nga , Thailand](https://reader035.vdocuments.mx/reader035/viewer/2022062519/5681527d550346895dc0aafc/html5/thumbnails/16.jpg)
16
Support vector machines (SVMs) : numerousapplications in remote sensing . 108 relevant papers, published in 2007-2010. (G.Mountrakis, Jungho Im, C.Ogole, 2011)
![Page 17: Vegetation classification on Prathong Island, Phang Nga , Thailand](https://reader035.vdocuments.mx/reader035/viewer/2022062519/5681527d550346895dc0aafc/html5/thumbnails/17.jpg)
17
Unsupervised Classification:• K-Mean• 10 Classes
![Page 18: Vegetation classification on Prathong Island, Phang Nga , Thailand](https://reader035.vdocuments.mx/reader035/viewer/2022062519/5681527d550346895dc0aafc/html5/thumbnails/18.jpg)
18
ROI Separability
Classes Grassland
Beach Forest
Mangrove
Forest
Swamp forest
Sand Water
Grassland - 1.982 2.000 1.610 1.959 2.000Beach Forest - 1.766 1.881 2.000 2.000
Mangrove Forest - 1.996 2.000 2.000
Swamp Forest - 1.648 1.997
Sand - 2.000
Water -
![Page 19: Vegetation classification on Prathong Island, Phang Nga , Thailand](https://reader035.vdocuments.mx/reader035/viewer/2022062519/5681527d550346895dc0aafc/html5/thumbnails/19.jpg)
19
Classification Results
GrasslandSwamp ForestBeach ForestMangrove ForestSandWaterOther
MLC SVMs
![Page 20: Vegetation classification on Prathong Island, Phang Nga , Thailand](https://reader035.vdocuments.mx/reader035/viewer/2022062519/5681527d550346895dc0aafc/html5/thumbnails/20.jpg)
20
MLC SVMsRGB(0,1,2)
![Page 21: Vegetation classification on Prathong Island, Phang Nga , Thailand](https://reader035.vdocuments.mx/reader035/viewer/2022062519/5681527d550346895dc0aafc/html5/thumbnails/21.jpg)
21
Class Confusion Matrix
ClassMLC SVMs
Prod. Acc. (%) User Acc. (%) Prod. Acc. (%) User Acc. (%)
Grassland 98.68 100.00 96.71 100.00
Beach Forest 97.26 97.06 100.00 97.14
Mangrove Forest 97.20 100.00 99.15 99.39
Swamp 46.55 56.84 61.21 83.53
Water 97.58 70.35 97.58 82.31
Sand 98.21 100.00 99.40 98.82
Over all Accuracy 94.29 % (Kappa Co. = 0.921) 96.72 % (Kappa Co.= 0.954)
![Page 22: Vegetation classification on Prathong Island, Phang Nga , Thailand](https://reader035.vdocuments.mx/reader035/viewer/2022062519/5681527d550346895dc0aafc/html5/thumbnails/22.jpg)
22
Conclusions
•SVM classifier compared to the more conventional maximum likelihood approach gave slightly better accuracy using THEOS image for class : swamp forest of Prathong Island.
![Page 23: Vegetation classification on Prathong Island, Phang Nga , Thailand](https://reader035.vdocuments.mx/reader035/viewer/2022062519/5681527d550346895dc0aafc/html5/thumbnails/23.jpg)
23
Acknowledgement• Geo-Informatics
and Space Technology Development Agency (Public Organization)
• UniNet
• Prince of Songkla University, Phuket campus
![Page 24: Vegetation classification on Prathong Island, Phang Nga , Thailand](https://reader035.vdocuments.mx/reader035/viewer/2022062519/5681527d550346895dc0aafc/html5/thumbnails/24.jpg)
24
References:• Department of Marine and Coastal Resources. 2005.
Strategies for sustainable development of Koh Ra and Koh Prathong with people participation. Unpublished report.
• Fauvel, M., Benediktsson, J.A., Chanussot, J., Sveinsson, J.R.. 2008. Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles. Geoscience and Remote Sensing, 46 (11), 3804 - 3814
• Giorgos Mountrakis, Jungho Im, Caesar Ogole. 2011. Support vector machines in remote sensing: A review. ISPRS Journal of Photogrammetry and Remote Sensing, 66, 247–259.
• Grime, J.P. 1974. Vegetation classification by reference to strategies. Nature, 250 (5461), 26-31.
![Page 25: Vegetation classification on Prathong Island, Phang Nga , Thailand](https://reader035.vdocuments.mx/reader035/viewer/2022062519/5681527d550346895dc0aafc/html5/thumbnails/25.jpg)
25
Kob Khun Ka : Thank You