Abstract: Desertification has caused severe ecological environment problems worldwide. It not only affects the ecological environment of human beings, but also hinders social and economic development. It is thus of great importance to monitor the dynamic process of desertification and capture its law for prevention deployment. An iconic project of the Belt and Road Initiative, the China–Pakistan Economic Corridor is critical to economical and cultural exchanges of the China-Pakistan region. The Corridor is about 3,000 kilometers long, covering more than 1,300 kilometers of permafrost, arid and desert regions. Especially its southern section is characterized by drought and large-scale desert, whcih constitutes the Corridor’s major ecological constraints. In this study, desertification difference index (DDI) was used to evaluate the degree of desertification in the Corridor. Based on Normalized Difference Vegetation Index(NDVI) and Albedo, we established a Albedo-NDVI space and a DDI formula through negative correlation between Albedo and NDVI. Based on DDI, we built the dataset of desert distributions along the China–Pakistan Economic Corridor during 2000 – 2017. This dataset reflects the degree of desertification along the Corridor, providing information for desertification prevention and control in the countries around.