Displaying remotely sensed vegetation dynamics along natural gradients for ecological studies

P. S. A. Beck; T. J. Wang; A. K. Skidmore; X. H. Liu

doi:10.1080/01431160802104942

Displaying remotely sensed vegetation dynamics along natural gradients for ecological studies

P. S. A. Beck, T. J. Wang, A. K. Skidmore, X. H. Liu

Research output: Contribution to journal › Article › peer-review

30 Citations (Scopus)

Abstract

Normalized difference vegetation index (NDVI) datasets are growing in popularity to represent vegetation dynamics in ecological studies. Because of its multidimensional nature, it is difficult to visualise the spatial and temporal components of NDVI datasets simultaneously. This letter presents a method to display vegetation dynamics as captured by the NDVI along natural gradients and to visualise and test correlations between vegetation phenology and animal movement.

Original language	English
Pages (from-to)	4277-4283
Number of pages	7
Journal	International Journal of Remote Sensing
Volume	29
Issue number	14
DOIs	https://doi.org/10.1080/01431160802104942
Publication status	Published - 20 Jul 2008
Externally published	Yes

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10.1080/01431160802104942

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title = "Displaying remotely sensed vegetation dynamics along natural gradients for ecological studies",

abstract = "Normalized difference vegetation index (NDVI) datasets are growing in popularity to represent vegetation dynamics in ecological studies. Because of its multidimensional nature, it is difficult to visualise the spatial and temporal components of NDVI datasets simultaneously. This letter presents a method to display vegetation dynamics as captured by the NDVI along natural gradients and to visualise and test correlations between vegetation phenology and animal movement.",

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AU - Skidmore, A. K.

AU - Liu, X. H.

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AB - Normalized difference vegetation index (NDVI) datasets are growing in popularity to represent vegetation dynamics in ecological studies. Because of its multidimensional nature, it is difficult to visualise the spatial and temporal components of NDVI datasets simultaneously. This letter presents a method to display vegetation dynamics as captured by the NDVI along natural gradients and to visualise and test correlations between vegetation phenology and animal movement.

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Displaying remotely sensed vegetation dynamics along natural gradients for ecological studies

Abstract

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