Application of Remote Sensing with LANDSAT TM Data
for Management and Control of Mangrove Forest
- A Case Study in Okinawa -
|
Location
|
Sub-compartment
|
Growing stock (m3)
|
Area (ha)
|
|
R. s.
|
B. g.
|
mixed
|
uncl.
|
total
|
|
Nakama-gawaRiver(Iriomote Is.)
|
1 2 3 4 5 6
|
220.7 555.8
18.4 105.8 170.8 14.3
|
4,473.9
2,399.2 1,260.7 1,030.6
3,177.5 52.3 |
3,810.8 1,983.6
3,254.6 1,537.8 2,597.4
683.0 |
253.2 0.0
276.2 374.7 594.9 0.0
|
8,758.6 4,938.6
4,809.9 3,048.9 6,540.5
749.6 |
47.52 33.21 27.00
18.72 34.02 4.95
|
|
total
|
|
1,085.8
|
12,394.2
|
13,867.2
|
1,499.0
|
28,846.1
|
165.42
|
|
Fukido-gawaRiver
(Ishigaki Is.) |
1 2 3 4
|
38.2
5.4 9.3 11.0 |
219.9 537.3 855.4
174.2 |
481.0 481.4
427.6 524.5 |
49.4 122.4
69.0 0.0 |
788.4 1,146.5
1,361.2 709.6 |
5.58 5.94 6.48 4.05
|
|
total
|
|
63.9
|
1,786.8
|
1,914.5
|
240.8
|
4,005.7
|
22.05
|
Remarks R. s.: stand with dominant species of Rhizophora stylosa, B. g.: stand with main species of Bruguiera gymnorrhiza, mixed : mixed stand with R. stylosa and B. gymnorrhiza, uncl. : unclassified stand
Table 2. Sum of growing stock of two species and mixed stand in each sub-compartment
and whole forest for two mangrove forests in Okinawa
Figure 3. Frequency distribution figures for growing stock in each pixel ( Fukido-gawa R. )
mask on remote sensing data. The all data were substituted in the regression equation for growing stock in serial order, and the estimated values were separated with classified main species or mixed stand and summed up separately. For mean of DBH and tree height, same data were substituted in each regression equation in like manner and frequency distribution figures
Figure 4. Frequency distribution figures for mean tree height in each pixel ( ditto )
were drawn by arrangement of estimated values. The results were shown as Table 2 and Figure 3. Figures for DBH were omitted, as the tendency was similar with the figures for mean tree height in each pixel.
Although the detail in Table 2, Figure 3 and 4 were not investigated from the point of forestry view, the information in them should be useful for management and control of mangrove forest.
4. Conclusion
Results mentioned above clearly showed usefulness of remote sensing for management and control of mangrove forest. Significant high correlation between data of band 4 and growing stock as total of trunk volume suggests possibility of that the amount of absorbed and fixed carbon dioxide also can be estimated by remote sensing. Because it should be converted from the amount of biomass as the total of all parts mangrove estimated by remote sensing data.
References
Dwi S. , Sato K. & Kohda Y. : 1997a, Relationships Between TM Data of Landsat 5 and Stand Parameters on Mangrove Forest in Okinawa, Jour. of Japan Soci. of Photog. and RS, 36 (2), pp.4-12
Dwi S. , Sato K & Kohda Y. : 1997b, Relationships Between Calculated Indexes from TM Data of Landsat 5 and Stand Parameters on Mangrove Forest in Okinawa, Jour. of Japan Soci.of Photog.and RS, 36 (3), pp.6-12
Kanetomi M. , Sato K. & Yamauchi T. : 1998, Expression of Qualitative and Quantitative Information on Mangrove Forest in Okinawa, Proceedings of the 19th Asian Conference on Remote Sensing, Q-13-1-6
Sato K. , Nakajima M. & Hoshi T. : 1997, Conception Qualitative and Quantitative Classification of Mangrove Forest with TM Data of Landsat 5, Proceedings of the 18th Asian Conference on Remote Sensing, G-6-1-6
