Skip to main content
U.S. flag

An official website of the United States government

A spatial regression procedure for evaluating the relationship between AVHRR-NDVI and climate in the northern Great Plains

February 1, 2004

The relationship between vegetation and climate in the grassland and cropland of the northern US Great Plains was investigated with Normalized Difference Vegetation Index (NDVI) (1989–1993) images derived from the Advanced Very High Resolution Radiometer (AVHRR), and climate data from automated weather stations. The relationship was quantified using a spatial regression technique that adjusts for spatial autocorrelation inherent in these data. Conventional regression techniques used frequently in previous studies are not adequate, because they are based on the assumption of independent observations. Six climate variables during the growing season; precipitation, potential evapotranspiration, daily maximum and minimum air temperature, soil temperature, solar irradiation were regressed on NDVI derived from a 10-km weather station buffer. The regression model identified precipitation and potential evapotranspiration as the most significant climatic variables, indicating that the water balance is the most important factor controlling vegetation condition at an annual timescale. The model indicates that 46% and 24% of variation in NDVI is accounted for by climate in grassland and cropland, respectively, indicating that grassland vegetation has a more pronounced response to climate variation than cropland. Other factors contributing to NDVI variation include environmental factors (soil, groundwater and terrain), human manipulation of crops, and sensor variation.

Citation Information

Publication Year 2004
Title A spatial regression procedure for evaluating the relationship between AVHRR-NDVI and climate in the northern Great Plains
DOI 10.1080/0143116031000102548
Authors Lei Ji, Albert J. Peters
Publication Type Article
Publication Subtype Journal Article
Series Title International Journal of Remote Sensing
Index ID 70156739
Record Source USGS Publications Warehouse
USGS Organization Earth Resources Observation and Science (EROS) Center

Related Content