Upscaling fluxes from tower to landscape: Overlaying flux footprints on high resolution (IKONOS) images of vegetation cover

J. Kim; Q. Guo; D. D. Baldocchi; M. Y. Leclerc; L. Xu; H. P. Schmid

Upscaling fluxes from tower to landscape: Overlaying flux footprints on high resolution (IKONOS) images of vegetation cover

J. Kim, Q. Guo, D. D. Baldocchi, M. Y. Leclerc, L. Xu, H. P. Schmid

Research output: Contribution to conference › Paper › peer-review

Abstract

The process of assesssing tower footprint climatology, spatial variability of site vegetation density based on satellite image analysis was described. The site vegetation density was expressed in terms of normalized difference vegetation index (NDVI) and crown closure by analyzing the high resolution IKONOS satellite image. The semivariogram and window size analyzes are solely based on remote sensing data, which can be useful to provide important information in selecting tower location. The results suggested that the validation data for carbon flux products derived from satellites and models with grid size of ∼ 1km² should be averaged at least for 4-8 days.

Original language	English
Pages	33-34
Number of pages	2
State	Published - 2004
Externally published	Yes
Event	26th Conference on Agricultural and Forest Meteorology - Vancouver, BC, Canada Duration: 23 Aug 2004 → 26 Aug 2004

Conference

Conference	26th Conference on Agricultural and Forest Meteorology
Country/Territory	Canada
City	Vancouver, BC
Period	23/08/04 → 26/08/04

Cite this

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title = "Upscaling fluxes from tower to landscape: Overlaying flux footprints on high resolution (IKONOS) images of vegetation cover",

abstract = "The process of assesssing tower footprint climatology, spatial variability of site vegetation density based on satellite image analysis was described. The site vegetation density was expressed in terms of normalized difference vegetation index (NDVI) and crown closure by analyzing the high resolution IKONOS satellite image. The semivariogram and window size analyzes are solely based on remote sensing data, which can be useful to provide important information in selecting tower location. The results suggested that the validation data for carbon flux products derived from satellites and models with grid size of ∼ 1km2 should be averaged at least for 4-8 days.",

author = "J. Kim and Q. Guo and Baldocchi, {D. D.} and Leclerc, {M. Y.} and L. Xu and Schmid, {H. P.}",

year = "2004",

language = "English",

pages = "33--34",

note = "26th Conference on Agricultural and Forest Meteorology ; Conference date: 23-08-2004 Through 26-08-2004",

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T1 - Upscaling fluxes from tower to landscape

T2 - 26th Conference on Agricultural and Forest Meteorology

AU - Kim, J.

AU - Guo, Q.

AU - Baldocchi, D. D.

AU - Leclerc, M. Y.

AU - Xu, L.

AU - Schmid, H. P.

PY - 2004

Y1 - 2004

N2 - The process of assesssing tower footprint climatology, spatial variability of site vegetation density based on satellite image analysis was described. The site vegetation density was expressed in terms of normalized difference vegetation index (NDVI) and crown closure by analyzing the high resolution IKONOS satellite image. The semivariogram and window size analyzes are solely based on remote sensing data, which can be useful to provide important information in selecting tower location. The results suggested that the validation data for carbon flux products derived from satellites and models with grid size of ∼ 1km2 should be averaged at least for 4-8 days.

AB - The process of assesssing tower footprint climatology, spatial variability of site vegetation density based on satellite image analysis was described. The site vegetation density was expressed in terms of normalized difference vegetation index (NDVI) and crown closure by analyzing the high resolution IKONOS satellite image. The semivariogram and window size analyzes are solely based on remote sensing data, which can be useful to provide important information in selecting tower location. The results suggested that the validation data for carbon flux products derived from satellites and models with grid size of ∼ 1km2 should be averaged at least for 4-8 days.

UR - http://www.scopus.com/inward/record.url?scp=22144492655&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:22144492655

SP - 33

EP - 34

Y2 - 23 August 2004 through 26 August 2004

ER -

Upscaling fluxes from tower to landscape: Overlaying flux footprints on high resolution (IKONOS) images of vegetation cover

Abstract

Conference

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