Direct harvesting is currently the most widely used method in determining above ground plant biomass production. This method, however, is costly, time consuming, destructive and only allows individual samples to be measured accurately out of a potentially highly variable sward. Therefore, a quick, accurate, and non-destructive method is needed to estimate the amount of above ground plant biomass in a pasture or across a landscape. Remote sensing of vegetation spectral responses, which tend to be highly responsive to changes in biomass, promises to provide a means for frequent, non?destructive measurements of above ground plant biomass at management relevant scales. The objective of this study was to compare different remote sensing techniques to determine which is the most accurate in predicting above ground plant biomass production. Above ground plant biomass production predicted by the normalized difference vegetation index (NDVI) measurements collected by a ground based sensor and both NDVI and other band combination measurements collected by satellite based imagery were compared.
Oral presentation and poster titles, abstracts, and authors from the Society for Range Management (SRM) Annual Meetings and Tradeshows, from 2013 forward.