|
|
|
Forest/Resources
|
Decision of Threshold Values for Extraction of Mangrove Area with TM Data of Landsat 5
The way suggested in this paper is not logistic way but it is practical, easy and fast, and dose not take so long time because of fast processing quickness of resent personal computer system. The judgment also is not difficult because it is possible to compare among binary imagery with different threshold value and confirm the fitness of the decided value repeatedly. By this way, a series of needed works and procedure can be processed in a system. So it becomes possible to build up a system as one package for qualitative and quantitative simultaneous expression of mangrove forest. Separation of mangrove area from water and land area is fundamental condition for estimation of quantitative information on mangrove forest and also qualitative classification of mangrove area without interference from the outside. It is considered that the system as one package for stand analysis of mangrove forest is very useful for conservation, control and management of mangrove forest in the developing countries.
Fig.-5 Classified results for land area (A), mangrove area (B) and waters (C), and overlaid result with three separated categories
Conclusion
It become clear that the way suggested here was useful to decide fit threshold value for making mask to extract mangrove forest. It will be realized to develop one package system built in the way for stand analysis of mangrove forest in the near future.
Reference
- Dwi Setyono, Sato, K. & Kohda, Y.: Relationship Between TM Data of Landsat 5 and Stand Parameters on Mangrove Forest in Okinawa, J. Japan Soc. Photogrammetry and Remote Sensing, Vol. 36, No.2, 4~12, (1997)
- Dwi Setyono, Sato, K. & Kohda, Y.: Relationship Between Calculated Indexes from TM Data of Landsat 5 and Stand Parameters on Mangrove Forest in Okinawa, J. Japan Soc. Photogrammetry and Remote Sensing, Vol. 36, No.3, 6~12, (1997)
- Dwi Setyono:, PhD Thesis, Kagoshima University, (1997)
- Sato, K., Nakajima, M. & Hoshi, T.: Mask Procedure for Effective Classification of Mangrove Area and a Method to decide Threshold Values with TM Data of Landsat 5, Proc. of the 17TH ACRS, WS-1-1~6, (1996)
- Sato, K., Nakajima, M. & Hoshi, T.: Conception of Qualitative and Quantitative Classification of Mangrove Forest with TM Data of Landsat 5, Proc. of the 18TH ACRS, G-6-1~6, (1997)
|
|
|
|
|
|
|
