Author(s)

Shuang Li, Christopher Potter, Cyrus Hiatt

California State University Monterey Bay, Seaside, USA.
Henan University, College of Environment and Planning, Kaifeng, Henan, China.
NASA Ames Research Center, Moffett Field, USA.

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.

Grasslands; MODIS; Landsat; California; Net Primary Production

S. Li, C. Potter and C. Hiatt, "Monitoring of Net Primary Production in California Rangelands Using Landsat and MODIS Satellite Remote Sensing," Natural Resources, Vol. 3 No. 2, 2012, pp. 56-65. doi: 10.4236/nr.2012.32009.