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miami1125426520.pdf (1.53 MB)
ETD Abstract Container
Abstract Header
Monitoring the Status of Mt. Kenya Forest Using Multi-Temporal Landsat Data
Author Info
Ndegwa, Lucy W.
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=miami1125426520
Abstract Details
Year and Degree
2005, Master of Arts, Miami University, Geography.
Abstract
This study used three Landsat images acquired in 1976, 1987, and 2002, and ISODATA unsupervised classifications to map and quantify landcover changes on Mt. Kenya between 1976 and 2002.There were 194,707 ha, 150,812 ha, and 140,085 ha of forest in 1976, 1987, and 2002, respectively. Among the change detection techniques evaluated, the multitemporal PCA technique had the highest accuracy (86.9%) and indicated a 10.3% loss in forest between 1987 and 2002. The post classification comparison technique also resulted in high classification accuracy (80.3%), but failed to capture adequately loss in the bamboo forest. Other change detection techniques evaluated including KT wetness, KT greenness and SARVI2 gave misleading results, as they appeared to capture differences in forest growth vigor rather than actual biomass changes. Landscape metrics computed for the forests indicated higher fragmentation rates in the 1976-1987 period compared to the 1987-2002 period.
Committee
John Maingi (Advisor)
Pages
98 p.
Subject Headings
Geography
Keywords
deforestation
;
remote sensing
;
Kenya
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Citations
Ndegwa, L. W. (2005).
Monitoring the Status of Mt. Kenya Forest Using Multi-Temporal Landsat Data
[Master's thesis, Miami University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=miami1125426520
APA Style (7th edition)
Ndegwa, Lucy.
Monitoring the Status of Mt. Kenya Forest Using Multi-Temporal Landsat Data.
2005. Miami University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=miami1125426520.
MLA Style (8th edition)
Ndegwa, Lucy. "Monitoring the Status of Mt. Kenya Forest Using Multi-Temporal Landsat Data." Master's thesis, Miami University, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=miami1125426520
Chicago Manual of Style (17th edition)
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Document number:
miami1125426520
Download Count:
1,210
Copyright Info
© 2005, all rights reserved.
This open access ETD is published by Miami University and OhioLINK.