3. Introduction
• Bamboo’s increasing role
• Ecosystem services: carbon, climate change
• Biodiversity conservation: habitat
• Socio-economic development: materials, poverty reduction
• Distribution of bamboo
• Africa
• Three countries
• Disturbance of bamboo
• Deforestation and degradation
4. Introduction
• Difficulties in mapping bamboo with RS
• Understory layer
• Similar spectral properties
• Small patches
• Fast change
• Review previous bamboo mapping efforts
• Small study areas
• Limited temporal information
8. Results
• Ethiopia
• Lowland bamboo
• north western
• Highland bamboo
• south and central
• Tepi volcano
• Bonga Forest Reserve
• the Bale Mountains
9. Results
• Kenya
• Highland bamboo
• Mount Elgon
• Mount Kenya
• Cherangany Hills
• the Mau Forest
• the Aberdare Range
10. Results
• Uganda
• Lowland bamboo
• Otzi Mountains and Metu
• Agoro-Agu Central Forest
Reserve
• Highland bamboo
• Rwenzori Mountains
• Mgahinga Gorilla National
Park
• Echuya
• Mount Elgon
11. Results
• Phenology feature
• Highland bamboo
• b – stable
• f, s – seasonal change
• Lowland bamboo
• g – dry up fastest in Oct
• b, f – declines gradually
• b – bottom lower
• s, g – bottom earlier
12. Conclusions
• Bamboo map
• PA 79.2%, UA 84.0%
• Area statistics
• Ethiopia 14387.05 km2
• Kenya 1310.40 km2
• Uganda 545.87 km2
• Spatial distributions
• Temporal information (Sep – Feb) is important
14. The bamboo cover map of Madagascar, overlaid on the administrative boundaries of regions
15. The bamboo cover map of Madagascar and two zoomed-
in areas with abundant bamboo visited by the field trip
16. Moso bamboo mapping result of the study area. The scatter plot at the upper right
corner displays the comparison between reference and estimated results of moso
bamboo area at county-level.
17. Province
User
accuracy
of
bamboo
forest
Produce
accuracy of
bamboo forest
User accuracy
for non-bamboo
forest
Produce accuracy
of non-bamboo
forest
Overall
accuracy
Kappa
coefficient
Area of
bamboo
forest
from RS
(×104ha)
Area of
bamboo
forest from
Inventory
(×104ha)
Fujian 74.59% 83.46% 90.43% 84.58% 84.19% 0.6625 106.75 114.59
Jiangxi 87.61% 90.83% 95.00% 93.14% 93.33% 0.8325 118.11 99.89
Zhe jiang 97.37% 94.87% 94.87% 97.37% 96.10% 0.9220 108.32 83.34
Hunan 57.89% 84.62% 95.09% 95.09% 97.04% 0.6197 57.18 77.83
Sichuan 54.29% 95.00% 99.67% 94.97% 94.97% 0.6657 55.7 54.9
Guangdon
g
56.06% 90.24% 98.41% 89.53% 89.62% 0.6332 40.11 44.62
Guangxi 77.5% 93.94% 98.60% 94.00% 93.99% 0.8122 31.38 34.09
Anhui 84.62% 94.29% 98.55% 95.77% 95.48% 0.8634 12.29 33.72
Gui zhou 90.63% 96.67% 99.29% 97.89% 97.67% 0.9213 24.41 15.69
Hubei 82.35% 96.55% 99.58% 97.53% 97.43% 0.8744 4.41 14.4
Chongqing
59.26% 94.12%
99.00% 90.00% 90.55% 0.6736 11.86 13.63
Jiangsu 95.65% 95.65% 98.84% 98.84% 98.17% 0.9449 2.24 3.37
Hainnan 100% 67.74% 76.19% 100% 84.13% 0.6809 2.11 1.56
Bamboo Forest Extraction Results for other Province in China
Taiwan 85.56% 81.05% 95.29% 96.55% 93.43% 0.7916 14.35 15.23