Technical Abstract: Managers of public and private rangelands need objective estimates of vegetation characteristics. Remote sensing has the potential to provide near real-time vegetation information for areas too large to be regularly monitored by ground-based methods. The purpose of the RANGES (Rangeland Analysis Utilizing Geospatial Information Science) project is to use satellite imagery to produce quantitative estimates of standing biomass for rangeland managers. A new vegetation index was developed that is sensitive to senescent, as well as green, vegetation. This index can then be used to estimate canopy cover throughout the year. Another algorithm was developed to estimate grass height, and by combining the estimate of cover and height, biomass can be estimated. Validation showed a good fit between cover, height, and biomass as estimated from Landsat data and ground measurements, although these algorithms are limited to grasslands. Fieldwork is needed to develop the empirical parameters used to estimate vegetation characteristics for each image. The final product complements field data collection by providing objective assessments of vegetation characteristics, allows rangeland managers to focus on problem areas, and documents vegetation characteristics over time and space.