Mapping a-priori defined plant associations using remotely sensed vegetation characteristics

H.D. Roelofsen; L. Kooistra; P.M. van Bodegom; J. Verrelst; J. Krol; J.P.M. Witte

doi:10.1016/j.rse.2013.09.030

Mapping a-priori defined plant associations using remotely sensed vegetation characteristics

H.D. Roelofsen, L. Kooistra, P.M. van Bodegom, J. Verrelst, J. Krol, J.P.M. Witte

Computer Systems

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

Incorporation of a priori defined plant associations into remote sensing products is a major challenge that has only recently been confronted by the remote sensing community. We present an approach to map the spatial distribution of such associations by using plant indicator values (IVs) for salinity, moisture and nutrients as an intermediate between spectral reflectance and association occurrences. For a 12km

Original language	English
Pages (from-to)	639-651
Journal	Remote Sensing of Environment
Volume	2014
Issue number	140
Early online date	26 Oct 2013
DOIs	https://doi.org/10.1016/j.rse.2013.09.030
Publication status	Published - 2014

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10.1016/j.rse.2013.09.030

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title = "Mapping a-priori defined plant associations using remotely sensed vegetation characteristics",

abstract = "Incorporation of a priori defined plant associations into remote sensing products is a major challenge that has only recently been confronted by the remote sensing community. We present an approach to map the spatial distribution of such associations by using plant indicator values (IVs) for salinity, moisture and nutrients as an intermediate between spectral reflectance and association occurrences. For a 12km",

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AU - Roelofsen, H.D.

AU - Kooistra, L.

AU - van Bodegom, P.M.

AU - Verrelst, J.

AU - Krol, J.

AU - Witte, J.P.M.

PY - 2014

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AB - Incorporation of a priori defined plant associations into remote sensing products is a major challenge that has only recently been confronted by the remote sensing community. We present an approach to map the spatial distribution of such associations by using plant indicator values (IVs) for salinity, moisture and nutrients as an intermediate between spectral reflectance and association occurrences. For a 12km

U2 - 10.1016/j.rse.2013.09.030

DO - 10.1016/j.rse.2013.09.030

M3 - Article

SN - 0034-4257

VL - 2014

SP - 639

EP - 651

JO - Remote Sensing of Environment

JF - Remote Sensing of Environment

IS - 140

ER -

Mapping a-priori defined plant associations using remotely sensed vegetation characteristics

Abstract

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