Skip to main content
U.S. flag

An official website of the United States government

NDVI saturation adjustment: a new approach for improving cropland performance estimates in the Greater Platte River Basin, USA

January 1, 2013

In this study, we developed a new approach that adjusted normalized difference vegetation index (NDVI) pixel values that were near saturation to better characterize the cropland performance (CP) in the Greater Platte River Basin (GPRB), USA. The relationship between NDVI and the ratio vegetation index (RVI) at high NDVI values was investigated, and an empirical equation for estimating saturation-adjusted NDVI (NDVIsat_adjust) based on RVI was developed. A 10-year (2000–2009) NDVIsat_adjust data set was developed using 250-m 7-day composite historical eMODIS (expedited Moderate Resolution Imaging Spectroradiometer) NDVI data. The growing season averaged NDVI (GSN), which is a proxy for ecosystem performance, was estimated and long-term NDVI non-saturation- and saturation-adjusted cropland performance (CPnon_sat_adjust, CPsat_adjust) maps were produced over the GPRB. The final CP maps were validated using National Agricultural Statistics Service (NASS) crop yield data. The relationship between CPsat_adjust and the NASS average corn yield data (r = 0.78, 113 samples) is stronger than the relationship between CPnon_sat_adjust and the NASS average corn yield data (r = 0.67, 113 samples), indicating that the new CPsat_adjust map reduces the NDVI saturation effects and is in good agreement with the corn yield ground observations. Results demonstrate that the NDVI saturation adjustment approach improves the quality of the original GSN map and better depicts the actual vegetation conditions of the GPRB cropland systems.

Citation Information

Publication Year 2013
Title NDVI saturation adjustment: a new approach for improving cropland performance estimates in the Greater Platte River Basin, USA
DOI 10.1016/j.ecolind.2013.01.041
Authors Yingxin Gu, Bruce K. Wylie, Daniel M. Howard, Khem P. Phuyal, Lei Ji
Publication Type Article
Publication Subtype Journal Article
Series Title Ecological Indicators
Index ID 70142504
Record Source USGS Publications Warehouse
USGS Organization Earth Resources Observation and Science (EROS) Center

Related Content