Patterns and variability of summer NDVI in response to climate variables in Minnesota

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

This study examines the relationship between summer season NDVI and local-level climate variables, consisting of precipitation and temperature, in Minnesota from 1990 to 1997 using Geographically Weighted Regression (GWR). In comparison to traditional global techniques of Ordinary Least Squared (OLS) regression, there is a substantial improvement in the analysis using GWR. The overall relationship among the different variables was broadly consistent for the diverse types of land uses across the state. The spatial patterns of the association in the form of regression coefficients were not very consistent over the years as a result of interannual variations in the local climate.

Original languageEnglish (US)
Pages (from-to)166-181
Number of pages16
JournalGIScience and Remote Sensing
Volume44
Issue number2
DOIs
StatePublished - Apr 2007

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NDVI
climate
regression
summer
annual variation
land use
temperature
analysis
comparison

ASJC Scopus subject areas

  • Geography, Planning and Development

Cite this

Patterns and variability of summer NDVI in response to climate variables in Minnesota. / Roy, Shouraseni S; Yuan, Fei.

In: GIScience and Remote Sensing, Vol. 44, No. 2, 04.2007, p. 166-181.

Research output: Contribution to journalArticle

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