We surveyed a group of rangeland managers in the Southwest about
vegetation monitoring needs on grassland. Based on their responses, the
objective of the RANGES (Rangeland Analysis Utilizing Geospatial Information
Science) project was defined to be the accurate conversion of remotely
sensed data (satellite imagery) to quantitative estimates of total (green
and senescent) standing cover and biomass on grasslands and semidesert
grasslands. Although remote sensing has been used to estimate green
vegetation cover, in arid grasslands herbaceous vegetation is senescent much
of the year and is not detected by current remote sensing techniques. We
developed a ground truth protocol compatible with both range management
requirements and Landsat’s 30 m resolution imagery. The resulting
ground-truth data were then used to develop image processing algorithms that
quantified total herbaceous vegetation cover, height, and biomass. Cover was
calculated based on a newly developed Soil Adjusted Total Vegetation Index
(SATVI), and height and biomass were estimated based on reflectance in the
near infrared (NIR) band. Comparison of the remotely sensed estimates with
independent ground measurements produced r2 values of 0.80, 0.85, and 0.77
and Nash Sutcliffe values of 0.78, 0.70, and 0.77 for the cover, plant
height, and biomass, respectively. The approach for estimating plant height
and biomass did not work for sites where forbs comprised more than 30% of
total vegetative cover. The ground reconnaissance protocol and image
processing techniques together offer land managers accurate and timely
methods for monitoring extensive grasslands. The time-consuming requirement
to collect concurrent data in the field for each image implies a need to
share the high fixed costs of processing an image across multiple users to
reduce the costs for individual rangeland managers.