Phenological classification of the United States: A geographic framework for extending multi-sensor time-series data

Yingxin Gu; Jesslyn F. Brown; Tomoaki Miura; Willem J.D. van Leeuwen; Bradley C. Reed

doi:10.3390/rs2020526

Phenological classification of the United States: A geographic framework for extending multi-sensor time-series data

Yingxin Gu, Jesslyn F. Brown, Tomoaki Miura, Willem J.D. van Leeuwen, Bradley C. Reed

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

39 Scopus citations

Abstract

This study introduces a new geographic framework, phenological classification, for the conterminous United States based on Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) time-series data and a digital elevation model. The resulting pheno-class map is comprised of 40 pheno-classes, each having unique phenological and topographic characteristics. Cross-comparison of the pheno-classes with the 2001 National Land Cover Database indicates that the new map contains additional phenological and climate information. The pheno-class framework may be a suitable basis for the development of an Advanced Very High Resolution Radiometer (AVHRR)-MODIS NDVI translation algorithm and for various biogeographic studies.

Original language	English (US)
Pages (from-to)	526-544
Number of pages	19
Journal	Remote Sensing
Volume	2
Issue number	2
DOIs	https://doi.org/10.3390/rs2020526
State	Published - Feb 2010

Keywords

Geographic framework
MODIS NDVI
Pheno-class
Phenological classification
Phenology
Remote sensing

ASJC Scopus subject areas

General Earth and Planetary Sciences

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10.3390/rs2020526

Cite this

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abstract = "This study introduces a new geographic framework, phenological classification, for the conterminous United States based on Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) time-series data and a digital elevation model. The resulting pheno-class map is comprised of 40 pheno-classes, each having unique phenological and topographic characteristics. Cross-comparison of the pheno-classes with the 2001 National Land Cover Database indicates that the new map contains additional phenological and climate information. The pheno-class framework may be a suitable basis for the development of an Advanced Very High Resolution Radiometer (AVHRR)-MODIS NDVI translation algorithm and for various biogeographic studies.",

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AU - Gu, Yingxin

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AU - Miura, Tomoaki

AU - van Leeuwen, Willem J.D.

AU - Reed, Bradley C.

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AB - This study introduces a new geographic framework, phenological classification, for the conterminous United States based on Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) time-series data and a digital elevation model. The resulting pheno-class map is comprised of 40 pheno-classes, each having unique phenological and topographic characteristics. Cross-comparison of the pheno-classes with the 2001 National Land Cover Database indicates that the new map contains additional phenological and climate information. The pheno-class framework may be a suitable basis for the development of an Advanced Very High Resolution Radiometer (AVHRR)-MODIS NDVI translation algorithm and for various biogeographic studies.

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Phenological classification of the United States: A geographic framework for extending multi-sensor time-series data

Abstract

Keywords

ASJC Scopus subject areas

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