Satellite-derived land surface climate ‘signal’ for the midwest U.S.A

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

As a potential strategy for developing regional ‘land surface climatologies’, a statistical method to estimate the land-cover ‘signal’ from the Normalized Difference Vegetation Index (NDVI) is developed and applied to the Midwest U.S.A. summer growing season. The method evaluates the temporal correlation of NDVI for non-consecutive scenes of the National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) at Local Area Coverage (LAC) resolutions. Conventional mapped data help separate the low frequency variations related to phenology from shorter-term fluctuations involving surface moisture. The land surface signal is more stable lemporally when pixel data are aggregated to spatial resolutions commensurate with the Global Area Coverage (GAC) data.

Original languageEnglish (US)
Pages (from-to)3195-3202
Number of pages8
JournalInternational Journal of Remote Sensing
Volume16
Issue number16
DOIs
StatePublished - Nov 10 1995

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climate signal
land surface
NDVI
AVHRR
phenology
pixel
land cover
spatial resolution
growing season
moisture
summer
method

All Science Journal Classification (ASJC) codes

  • Earth and Planetary Sciences(all)

Cite this

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title = "Satellite-derived land surface climate ‘signal’ for the midwest U.S.A",
abstract = "As a potential strategy for developing regional ‘land surface climatologies’, a statistical method to estimate the land-cover ‘signal’ from the Normalized Difference Vegetation Index (NDVI) is developed and applied to the Midwest U.S.A. summer growing season. The method evaluates the temporal correlation of NDVI for non-consecutive scenes of the National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) at Local Area Coverage (LAC) resolutions. Conventional mapped data help separate the low frequency variations related to phenology from shorter-term fluctuations involving surface moisture. The land surface signal is more stable lemporally when pixel data are aggregated to spatial resolutions commensurate with the Global Area Coverage (GAC) data.",
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Satellite-derived land surface climate ‘signal’ for the midwest U.S.A. / Carleton, Andrew Mark; O’Neal, M.

In: International Journal of Remote Sensing, Vol. 16, No. 16, 10.11.1995, p. 3195-3202.

Research output: Contribution to journalArticle

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