 The proposed object-based change detection method, Object LT, using OBIA in the land-trender algorithm accurately identifies disturbance and recovery trends in vegetation with high accuracy in the ecologically fragile region of Guiyuan, Ningxia, China. The study shows that the recovery area was 571.27 square kilometers while the disturbed area was 297.65 square kilometers, indicating a general vegetation recovery trend in the study area. Object LT provides an accurate and comprehensive characterization of vegetation change over large areas, contributing to a better understanding of change processes of vegetation landscape over time. This article was authored by Jing Wang, Tai Yang Wei, Xiang Nan Liu, and others.