Tracking ecosystem water use efficiency of cropland by exclusive use of MODIS EVI data

Xuguang Tang, Hengpeng Li, Tim J. Griffis, Xibao Xu, Zhi Ding, Guihua Liu

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


One of the most important linkages that couple terrestrial carbon and water cycles is ecosystem water use efficiency (WUE), which is relevant to the reasonable utilization of water resources and farming practices. Eddy covariance techniques provide an opportunity to monitor the variability in WUE and can be integrated with Moderate Resolution Imaging Spectroradiometer (MODIS) observations. Scaling up in situ observations from flux tower sites to large areas remains challenging and few studies have been reported on direct estimation of WUE from remotely-sensed data. This study examined the main environmental factors driving the variability in WUE of corn/soybean croplands, and revealed the prominent role of solar radiation and temperature. Time-series of MODIS-derived enhanced vegetation indices (EVI), which are proxies for the plant responses to environmental controls, were also strongly correlated with ecosystem WUE, thereby implying great potential for remote quantification. Further, both performance of the indirect MODIS-derived WUE from gross primary productivity (GPP) and evapotranspiration (ET), and the direct estimates by exclusive use of MODIS EVI data were evaluated using tower-based measurements. The results showed that ecosystem WUE were overpredicted at the beginning and ending of crop-growth periods and severely underestimated during the peak periods by the indirect estimates from MODIS products, which was mainly attributed to the error source from MODIS GPP. However, a simple empirical model that is solely based on MODIS EVI data performed rather well to capture the seasonal variations in WUE, especially for the growing periods of croplands. Independent validation at different sites indicates the method has potential for broad application.

Original languageEnglish (US)
Pages (from-to)11016-11035
Number of pages20
JournalRemote Sensing
Issue number9
StatePublished - 2015

Bibliographical note

Publisher Copyright:
© 2015 by the authors.


  • Cropland
  • ET
  • GPP
  • Vegetation index
  • Water use efficiency


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