GIS and Remote Sensing for Mapping Species Spatial Distributions | GIS and Remote Sensing for Natural Resources Management

Getachew Berhan Demisse

ISBN 10: 3846542121 / ISBN 13: 9783846542125

Published by LAP LAMBERT Academic Publishing, 2011

About this Item

GIS and Remote Sensing for Mapping Species Spatial Distributions | GIS and Remote Sensing for Natural Resources Management | Getachew Berhan Demisse | Taschenbuch | 100 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846542125 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 106733978

Bibliographic Details

• Title: GIS and Remote Sensing for Mapping Species Spatial Distributions | GIS and Remote Sensing for Natural Resources Management
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2011
• Language: English
• ISBN 10: 3846542121
• ISBN 13: 9783846542125
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 7D millimeters 220 millimeters width by 150 millimeters height by 7 millimeters depth
• Weight: 167 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Relatively little attention is currently given to the issue of biodiversity loss in savannah ecosystems and only a limited range of methods have been developed for the assessment and management of this issue. The aim of this study was to contribute to a better understanding of dry land woody species biodiversity and to test if woody species biodiversity assessment can be performed using remote sensing and geostatistics. The research was undertaken on an experimental site in the Serowe area, Botswana. A total of 169 sample plots were collected and analyzed. An importance value index (IVI), which is the summation of relative frequency, relative density and relative basal area, was used to select the dominant species of the area. The applicability of IKONOS imagery data and geostatistical techniques for savannah woody species biodiversity assessment were tested. A total of 33 woody species, which belong to 25 genera and 18 families, were identified. Two vegetation types were identified: dense savannah (SAD) and open savannah (SAO). The tree stems density was significantly higher (t-test, t=-4.39, d.f=167, p>0.001) in SAD than in SAO. According to the IVI criteria, the dominant species.

About the Author

Getachew Berhan received his MSc in Geo-information Science and Earth Observation from International Institute for Geo-information Science and Earth Observation (ITC), The Netherlands in 2006. Currently, Getachew is PhD student under IT PhD Program, Information Systems Track in Addis Ababa University, Ethiopia.