Interannual variability of NDVI and species richness in Kenya

Ecologists have long recognized the spatial variability of species richness. In an attempt to identify the factors responsible for this variability, ecologists have traditionally used environmental data obtained from sparse point samples (such as meteorological stations). However, remotely sensed da...

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Bibliographic Details
Published in:	International journal of remote sensing Vol. 23; no. 2; pp. 285 - 298
Main Authors:	Oindo, B. O., Skidmore, A. K.
Format:	Journal Article
Language:	English
Published:	Abingdon Taylor & Francis Group 01.01.2002 Taylor and Francis
Subjects:	Applied geophysics Earth sciences Earth, ocean, space Exact sciences and technology Internal geophysics Soils Surficial geology Kenya East Africa very high resolution Africa radiometry spatiotemporal variations remote sensing vegetation evapotranspiration statistical analysis primary productivity heterogeneity standard deviation
ISSN:	0143-1161, 1366-5901
Online Access:	Get full text
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