期刊
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
卷 12, 期 -, 页码 S116-S122出版社
ELSEVIER
DOI: 10.1016/j.jag.2009.09.002
关键词
Landsat; Time series; Change detection; Nearshore environments; Coral; Seagrass; Algae
资金
- GEF/World Bank
The recently released archive of Landsat Imagery can be used to detect historic changes in nearshore environments We used a series of free Landsat Images spanning the years from 1984 to 2009 to detect changes in the spatial extent of dominant substrate types, coral, algae, and seagrass, around Bawe and Chumbe islands in Zanzibar. and we compared the use of true-colour composites and supervised classifications Results indicate temporal changes in the spatial extent of seagrass meadows are easily mapped with Landsat Imagery, whereas temporal changes in algae cover and particularly coral cover pose greater challenges because of the similarities in spectral reflectance properties between the relevant Substrate types Supervised classification requires substantially more processing than the simple display of true-colour composites. but does not Improve Interpretation in our study We Suggest that historic Landsat Imagery, obtained at no cost and processed minimally with free software, is the best available data source for Studies of historic changes in the nearshore environments of East Africa (C) 2009 Elsevier B V All rights reserved
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