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

Research output: Contribution to journalArticle

8 Scopus citations

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 1 2007

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

Fingerprint Dive into the research topics of 'Patterns and variability of summer NDVI in response to climate variables in Minnesota'. Together they form a unique fingerprint.

  • Cite this