crossrefAgronomy2025-10-31
Quantifying Grazing Intensity from Aboveground Biomass Differences Using Satellite Data and Machine Learning
Ritu Su, Yong Yang, Shujuan Chang, Gudamu A, Xiangjun Yun, Xiangyang Song, et al.
Accurately quantifying grazing intensity (GI) is crucial for assessing grassland utilization and supporting sustainable management. Traditional livestock-based approaches cannot capture the spatial heterogeneity of grazing or its dynamic response to climate variability. The objec…