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F. A. Heinsch, M. S. Zhao, S. W. Running, J. S. Kimball, and R. R. Nemani, “Evaluation of Remote Sensing Based Terrestrial Productivity from MODIS Using Tower Eddy Flux Network Observations,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 44, No. 7, 2006, pp. 1908-1924. doi:10.1109/TGRS.2005.853936

has been cited by the following article:

• TITLE: Monitoring of Net Primary Production in California Rangelands Using Landsat and MODIS Satellite Remote Sensing

  AUTHORS: Shuang Li, Christopher Potter, Cyrus Hiatt

  KEYWORDS: Grasslands; MODIS; Landsat; California; Net Primary Production

  JOURNAL NAME: Natural Resources, Vol.3 No.2, June 25, 2012

  ABSTRACT: In this study, we present results from the CASA (Carnegie-Ames-Stanford Approach) model to estimate net primary production (NPP) in grasslands under different management (ranching versus unmanaged) on the Central Coast of California. The latest model version called CASA Express has been designed to estimate monthly patterns in carbon fixation and plant biomass production using moderate spatial resolution (30 m to 250 m) satellite image data of surface vegetation characteristics. Landsat imagery with 30 m resolution was adjusted by contemporaneous Moderate Resolution Imaging Spectroradiometer (MODIS) data to calibrate the model based on previous CASA research. Results showed annual NPP predictions of between 300 - 450 grams C per square meter for coastal rangeland sites. Irrigation increased the predicted NPP carbon flux of grazed lands by 59 grams C per square meter annually compared to unmanaged grasslands. Low intensity grazing activity appeared to promote higher grass regrowth until June, compared to the ungrazed grassland sites. These modeling methods were shown to be successful in capturing the differing seasonal growing cycles of rangeland forage production across the area of individual ranch properties.