Resource mapping of the Kabe Watershed   Pilot Project in Ethiopia, 2011-2013  Bekele Abebe and Mickias Woldesellassie (Wo...
Objectives• To produce different thematic maps  – Watershed/Catchment delineation map  – Landuse /Land cover map  – Water ...
Methodology• Satellite Data   – Office Work   – Ground Truthing   – Reinterpretation
Some of the maps generated
• Watershed  level          Assumption:                     In 1 House= 5 people lives
Elevation Map• Both 30m DTED  and 20m  Contours used.• Fall in the same  agroclimatic  zones
Soil Map• Sampling• Remote  Sensing
Landuse Landcover      Map • Landsat? • QuickBird   Image
Water Resource    Distribution Map•   Hand held GPS is    used to collect every    water resource sites
Average Total Rainfall Trend
Average Temperature Trend
Challenges• Size of the area• Climatic data gaps and Lack of Enough Data• Historical Gage (River, Stream Yield) data
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Resource mapping of the Kabe Watershed Pilot Project in Ethiopia, 2011-2013

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Presented by Bekele Abebe and Mickias Woldesellassie (Wollo University) at the Workshop on the Lessons and Success Stories from a Pilot Project on Climate Change Adaptation Interventions in Kabe watershed, south Wollo, Ethiopia, Addis Ababa, 11-12 February 2013

Published in: Technology
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Resource mapping of the Kabe Watershed Pilot Project in Ethiopia, 2011-2013

  1. 1. Resource mapping of the Kabe Watershed Pilot Project in Ethiopia, 2011-2013 Bekele Abebe and Mickias Woldesellassie (Wollo University) Workshop on the lessons and success stories from a pilot project on climate change adaptation interventions in Kabe watershed, south Wollo, Ethiopia, Addis Ababa, 11-12 February 2013
  2. 2. Objectives• To produce different thematic maps – Watershed/Catchment delineation map – Landuse /Land cover map – Water resources (distribution of springs, wells, rivers...) maps – Soil types, Lithological/Structural maps – Human and livestock population density map – Agroclamatic zones/Altitude maps – Climate change- rainfall and temperature trends/projections maps
  3. 3. Methodology• Satellite Data – Office Work – Ground Truthing – Reinterpretation
  4. 4. Some of the maps generated
  5. 5. • Watershed level  Assumption:  In 1 House= 5 people lives
  6. 6. Elevation Map• Both 30m DTED and 20m Contours used.• Fall in the same agroclimatic zones
  7. 7. Soil Map• Sampling• Remote Sensing
  8. 8. Landuse Landcover Map • Landsat? • QuickBird Image
  9. 9. Water Resource Distribution Map• Hand held GPS is used to collect every water resource sites
  10. 10. Average Total Rainfall Trend
  11. 11. Average Temperature Trend
  12. 12. Challenges• Size of the area• Climatic data gaps and Lack of Enough Data• Historical Gage (River, Stream Yield) data

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