[Objective] The purpose of this work is to improve the accuracy of interpretation of land use and soil and water conservation measures from high-resolution images and analyze the regional representativeness of interpretation results in typical regions of the Pan-Third Pole.[Methods] Totally, 9, 18 and 15 sampling units were selected respectively in Tibet of China, Chiang Rai in Thailand and Pothohar Plateau of Pakistan for field surveys in the period of 2018-2019.The results of the field surveys of land use were taken as the references. The interpretation accuracy of land use and soil and water conservation measures based on Google Earth images was analyzed using confusion matrix and land use change transition matrix. The regional representativeness of the interpretation results was analyzed by comparing the land use structure obtained to the reference data sets.[Results] ① The accuracy of land use interpretation in the three typical sample areas was high with the overall classification accuracies being all above 80%, and the average kappa coefficients of 0.74, 0.75 and 0.82 respectively; ② The interpretation results for soil and water conservation measures in the three typical sample areas were found to be quite satisfactory compared with the field survey results; ③ The results of remote sensing interpretations of land use structure based on sampling showed a high similarity with the GLC 30 m and GLC 10 m data sets.[Conclusion] The results of land use interpretations and soil and water conservation measures based on high-resolution images are consistent with the results of field survey, and conform to the land use structure of the reference data sets. Thus, the results of remote sensing interpretation of sampling units can express the macro feature structure of land use very well.