By: Linda Kpormone Buame Department of Oceanography and Fisheries Date: 18 th January,2011

 Background  Objectives and Justification  Approach  Preliminary results 10/19/2015 Urban Coastal Habitat Mapping using Landsat and Quickbird Imageries 2

 “ Coastal habitats are the biosphere’s most imperiled ecosystems.”  Coastal habitats present in Ghana are; wetlands, deltas, mangroves, lagoons, estuaries, sea grass, etc.  This project seeks to provide baseline information (in a digitized format), of critical coastal habitats in the Greater Accra Region. 10/19/2015 Urban Coastal Habitat Mapping using Landsat and Quickbird Imageries 3

 To classify habitats including ecosystems and investigate the impacts of urbanization on coastal habitats.  To compare and contrast the quality of features shown in Quickbird and Landsat Imageries to identify the most appropriate for coastal habitat mapping.  To understand how Quickbird and Landsat imageries can be applied to the mapping of coastal habitats in urban areas. 10/19/2015 Urban Coastal Habitat Mapping using Landsat and Quickbird Imageries 4

 Study Area: Selected coastal areas in Greater Accra Region. 10/19/2015 Urban Coastal Habitat Mapping using Landsat and Quickbird Imageries 5 b) Landsat imagery 1.Acquisition of Quickbird and Landsat Imageries 2. Image Classification Supervised Unsupervised Decision Tree using ENVI Image enhancement 4. Interpretation of data 5. Time series analysis using Landsat Imageries 6.Identification of Hot spot areas using Quickbird Imageries 7.Field Survey, collection of data and Ground truthing* 8. Perform geometric correction using GCPs and repeat steps GIS archiving Distribution of results Flowchart showing approach of the project a) Quickbird imagery

Unsupervised classification – using Iso Data 10/19/2015 Urban Coastal Habitat Mapping using Landsat and Quickbird Imageries 6 Binary encoding (file roi)

10/19/2015 Urban Coastal Habitat Mapping using Landsat and Quickbird Imageries 7 Decision Tree Classification K- means Classification

10/19/2015 Urban Coastal Habitat Mapping using Landsat and Quickbird Imageries 8 Minimum Distance Classification Spectral Angle Mapper Classification

10/19/2015 Urban Coastal Habitat Mapping using Landsat and Quickbird Imageries 9 Normalized Difference Vegetation Index (NDVI) calculation

 Ali S.(2005).Development work destroying mangroves in Pakistan. Accessed from the World Wide Web on 31 st August,  Anku(2006). Managing Wetlands in Accra, Ghana. African Regional Workshop Cities Ecosystems and Biodiversity, Nairobi  Choopani S. Damizadeh Kooveei H. (2005).Investigation of Mangrove Role to Protection Of Coastal Zone Island Using RS and GIS. Accessed from the World Wide Web on 25 th August 2010 at  ENVI (2011) Accessed from the World Wide Web on 11 th January 2011 at services/ENVI.aspx  Glossary of Remote Sensing terms(2010) Accessed from the World Wide Web on 9 th September 2010 at  Greater Accra Region(2010).Accessed on 30 th August,2010 from the World Wide Web at  Image characterization (2010) Accessed on 21 st September 2010 from the World Wide Web at  Prasad et al (2006). Advances in mapping land use cover and irrigated areas. IWMI, Colombo  Quickbird(2010).Accessed on 8 th September,2010 from the World Wide Web at  Sea grass mapping using Landsat TM data.(1989)Accessed on 24 th August,2010 from the World Wide Web at  Sha Zongyao, Yichun Xie and Yu Mei (2008). Remote sensing imagery in vegetation mapping: a review. Accessed on 11 th August, 2010 from the World Wide Web at  What is landsat.(2010) Accessed from the world wide web on 8 th August,2010 at 10/19/2015 Urban Coastal Habitat Mapping using Landsat and Quickbird Imageries 10

THANK YOU FOR YOUR ATTENTION 10/19/2015 Urban Coastal Habitat Mapping using Landsat and Quickbird Imageries 11