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Bamboo mapping of Ethiopia, Kenya
and Uganda for 2016 using multi-
temporal Landsat imagery
Global Land Cover Mapping Portal
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
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
Methods
Peng Gong_Bamboo Mapping of Ethiopia, Kenya and Uganda for 2016 Using Multi-temporal Landsat Imagery
Methods
Results
• Ethiopia
• Lowland bamboo
• north western
• Highland bamboo
• south and central
• Tepi volcano
• Bonga Forest Reserve
• the Bale Mountains
Results
• Kenya
• Highland bamboo
• Mount Elgon
• Mount Kenya
• Cherangany Hills
• the Mau Forest
• the Aberdare Range
Results
• Uganda
• Lowland bamboo
• Otzi Mountains and Metu
• Agoro-Agu Central Forest
Reserve
• Highland bamboo
• Rwenzori Mountains
• Mgahinga Gorilla National
Park
• Echuya
• Mount Elgon
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
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
Results
The bamboo cover map of Madagascar, overlaid on the administrative boundaries of regions
The bamboo cover map of Madagascar and two zoomed-
in areas with abundant bamboo visited by the field trip
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.
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
Peng Gong_Bamboo Mapping of Ethiopia, Kenya and Uganda for 2016 Using Multi-temporal Landsat Imagery
Peng Gong_Bamboo Mapping of Ethiopia, Kenya and Uganda for 2016 Using Multi-temporal Landsat Imagery

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Peng Gong_Bamboo Mapping of Ethiopia, Kenya and Uganda for 2016 Using Multi-temporal Landsat Imagery

  • 1. Bamboo mapping of Ethiopia, Kenya and Uganda for 2016 using multi- temporal Landsat imagery
  • 2. Global Land Cover Mapping Portal
  • 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