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

Andrew Mark Carleton; M. O’Neal

doi:10.1080/01431169508954623

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

Andrew Mark Carleton, M. O’Neal

Geography

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

8 Scopus citations

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 language	English (US)
Pages (from-to)	3195-3202
Number of pages	8
Journal	International Journal of Remote Sensing
Volume	16
Issue number	16
DOIs	https://doi.org/10.1080/01431169508954623
State	Published - Nov 10 1995

All Science Journal Classification (ASJC) codes

General Earth and Planetary Sciences

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1080/01431169508954623

Cite this

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title = "Satellite-derived land surface climate {\textquoteleft}signal{\textquoteright} for the midwest U.S.A",

abstract = "As a potential strategy for developing regional {\textquoteleft}land surface climatologies{\textquoteright}, a statistical method to estimate the land-cover {\textquoteleft}signal{\textquoteright} 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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T1 - Satellite-derived land surface climate ‘signal’ for the midwest U.S.A

AU - Carleton, Andrew Mark

AU - O’Neal, M.

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AB - 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

Abstract

All Science Journal Classification (ASJC) codes

UN SDGs

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