Contents...10~50ha 1.73 mil. ha (33%) 1~5ha 1.42 mil. ha (27%) 100haor more 0.85 mil. ha (16%) 100haor larger 3,000 owners (0.4%) 10~50ha 97,000 owners (11%) 50~100ha 0.43 mil. ha
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The present forest resource information such as forest type distribution is inaccurate
and the logging plan should be replaced using resource information by RS.
Logging plans become reliable. → Accurate estimation of income is possible.
Additional field surveys is required less than before.
Retrieval of plans is required less than before.
Forest owners and foresters can share reliable resource information. 11
Gifu Univ.
Y. Awaya
Mesh size of volume data
Mesh size 10m Mesh size 50m - MOLI footprint
Fifty meter grids cannot show volume well in small sub-compartments.
Foot print size of MOLI is an obstacle in small forest compartments. MOLI
products would be useful in forests larger than 3 to 5 ha. 12
Gifu Univ.
Y. Awaya
0 200 400 600 800 1000 or more
Stem Volume (m3 / ha)
Necessity of large area map
A few prefecture governments
produced large area forest
resource maps by LiDAR data.
Airborne LiDAR data are
important information for
volume mapping, however,
airborne LiDAR data are costly.
Space-borne LiDAR data
would be cost effective and be
useful for deriving and renewal
of resource information in large
areas.
Large area resource maps can
be used for forest planning in
city, prefecture and national
levels.
10 km
Volume map over
Kamo, Gifu, Japan
711 km2
13
Gifu Univ.
Y. Awaya
Artificial forest in the world
There are large artificial forest in the world and management planning
is an important task. MOLI products will be used in forest without
biomass information currently.
Artificial forest area in
the world (FAO 2010)
14
Gifu Univ.
Y. Awaya
Thank you very much for your attention. The aerial photos and a part of LiDAR data were supplied by the Gifu prefecture. Field surveys were supported by staff members and students of Gifu University.
1. Harvest is an urgent matter in Japan, however, resource information is
inaccurate.
2. LiDAR data provides accurate volume distribution maps.
3. A logging plan is designed efficiently using resource information by RS.
4. Producing large area biomass maps is costly by airborne LiDAR,
therefore, space-borne LiDAR would be an important tool.
5. Fine ground resolution information is necessary due to small forest size in
Japan.
6. Biomass information by space-borne LiDAR data can be used for forest