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Poster Session 1
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Mask Procedure for Effective Classification and Expression
on Mangrove Area with TM Data of Landsat 5
3. Practice of mask and following procedures
It is better to set some lines across mangrove areas in a image for designation of the thres hold. Binarized images were saved as A from Band 4 and B from Band 5. In the case of masking for the data of Iriomote Island, it was effective to use Band 7 Band 5 as there were may plowed farms, bare fields and rock exprosures around mangrove areas. A painting software was used to give black of O to remained wh1te parts With out mangrove areas in the produced image by subtraction of B from A. The modified image was saved as a : mask to cover the inside and outside of mangrove areas.
Imagery data of C was subtracted from the data of each band for the preparation of data set to classify the , outside. Each data kept its own data in the outside and had O of black in the inside. Imagery data of D was added to the data of each band for the preparation of data set to classify the inside. Each data in this set kept its
Photo.-2 Comparison of Image C in lriomote between ( A -B) and ( A -B + B' )
own data in the inside and had 255 of white in the outside. Mentioned process above was a mask procedure. The preparation was completed for separate classification of the outside and inside or three bands color composition of the outside. Binarized images in this mask procedure and examples in two data sets prepared for classification of the inside and outside were shown in Photo-1, and two images were shown in Photo.2 to compare the effect using Band 7 with Band 5.
Photo.1 Example of images produced from masking and following procedures shown as Fig.1
Photo.2 Comparison of Image C in Iriomote between (A-B) and (A-B+B')
For classification of the outside, a fit classifier was applied to the prepared data set with image C and each band. Color images were composed with RGB corresponded to three bands within the set as true color, natural color or false color image. From these procedures, image E and F were produced. Classification of the in- side also was similarly done to produce image G corresponding the outside to black of 0.
Finally G was overlaid to E to produce image Has a classification map and to F to show a classification of mangrove areas emphatically.
Mask and following procedures described above was effective for more detailed classification and clear expression of mangrove areas.
4. Conclusion
Mask procedure was proposed and tried as a preprocessing to classify mangrove areas detailedly paying our attention to the features in Band 4 and Band 5. By this procedure it became possible to classify mangrove (C areas without interference from each category giving similar spectral reflectance in the inside and outside. It produced to raise accuracy and clearness of classification of mangrove areas. A system packaged this way of thinking and procedures is expected to be effective for the establishment of the management and control methods of mangrove areas.
References
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Dwi Setyono & K. Sato : Similarities between Mandah, Sumatera and Iriomote, Okinawa on the Distribution of TM data of Land sat 5 in the Multidimensional space for Mangrove and Surroundings, Proc. of the International Symposium on Vegetation Monitoring, 298-303,(1995)
- Dwi Setyono & K. Sato: Structure of Thematic Mapper Data of LANDSAT5 for mangrove Area in the River Mouth of Inderagiri, Riau, Sumatera,Proc. of the 15th ACRS, Vol.2,G-5-1-6,(1995)
- Kohei Cho, H.Simoda , T.Sakata &M. Yoshimura : Use of Vegetation Index of Satellite Data for Updating Land Use Data in Japan, Proc. of the International Symposium on Vegetation Monitoring, 267-274, (1995)
- Sato, K., D. Setyono & S. E. Dab : Structure of Satellite Data for Mangrove Area in Okinawa (1) - Structure of TM Data of LAND SAT 5 for Mangrove Area in lriomote Island -,Proc. of the 14th ACRS, E-3-1-6,(1993)
- Sato, K., D. Setyono, O.D.Moraes & Hoshi, T.: Properties of Spectral Reflectance of Crown and Crown Structure of Mangrove Species in Okinawa, Proc. of PORSEC- 92, Vol.2,922-927,(1992)
- S. Vibulsresth, B.K1ankamsore, S. Ratanasermpong & C.Silapathong : Mangrove Forest Ecosystem and its Land Use Zoning by Remote Sensing, Proc. of the 7th ACRS, C-10-1-12,(1986)
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