 The desert step serves as a transition zone between grasslands and deserts, and long-term monitoring of above-ground biomass, AGB, and the desert step is essential for understanding grassland changes. Multiple linear regression, MLR, partial least squares regression, PLSR, random forest, RF, and support vector machines, SDM, can be used to estimate AGB in the desert step of Inner Mongolia, China. Soil-adjusted vegetation indices, this contribute the most to the model, and no significant differences were observed between soil-adjusted this and traditional this. From 2000 to 2020, the multi-year average AGB in the study area was 58.34 grams per square meter, exhibiting a gradually increasing distribution pattern from the inner region to the outer region, from north to south. Over the past 20 years, climate change, particularly precipitation, has been the primary driving force behind AGB changes of the study area. This article was authored by Nitu Wu, Guixiang Liu, Deji Wu Yun, and others. We are article.tv. Links in the description below.