02220nas a2200169   4500008004100000245010900041210006900150260004600219300001100265520155800276653002201834100001901856700001701875700001601892700002101908856012101929       1989                        eng d00aLandsat thematic mapper digital data for predicting aboveground biomass in a tallgrass prairie ecosystem0 aLandsat thematic mapper digital data for predicting aboveground   aLincoln, NEbUniversity of Nebraska Press  a53 -553 a<p>Landstat thematic mapper digital data was found to offer an excellent potential for regular monitoring of the tallgrass prairie ecosystem by providing estimates of aboveground biomass production. Data from several channels of a May thematic mapper scene were analyzed individually and in various combinations using stepwise regression in Statistical Analysis System (SAS). These procedures were used to determine the most appropriate multiple regression equation for estimating production of 1) total live aboveground biomass, 2) grasses, 3) forbs, 4) previous years dead, and 5) current years dead. Regression equations were based on satellite-derived estimates relative to ground level biomass values for watersheds on Konza Prairie Research Natural Area under a variety of burning treatments. Results suggest that multiple channel equations were most appropriate for measuring production of forbs and total live aboveground biomass. Channel one (0.45 to 0.52 æmeters) and channel four (0.76 to 0.90 æmeters) were applicable to estimate production of grass and levels of previous years litter, respectively. However, none of the channels were accurate in predicting current years dead. Further plans involve using thematic mapper data to estimate aboveground biomass over an entire growing season on Konza and exploring the potential of using satellite data to monitor grassland production across the Great Plains. Key Words: tallgrass prairie, remote sensing, aboveground biomass, Landstat, thematic mapper, monitoring, Konza Prairie, Kansas</p>10atallgrass prairie1 aBriggs, J., M.1 aNellis, M.D.1 aBragg, T.B.1 aStubbendieck, J.  uhttp://knz.lternet.edu/content/landsat-thematic-mapper-digital-data-predicting-aboveground-biomass-tallgrass-prairie