In order to assure the application of thematic classification

it is very important and necessary to make a rigorous accuracy assessment.In this paper

we use sampling-methods of point and cluster sample to assess the accuracy of the same region’s land-use/land-cover thematic maps

which are derived from different resolution remote sensing data.Here

Sampling designs are consisted of simple random

systematic and stratified sampling.The results are as following.Firstly

the sampling design has great impact on the accuracy of remote sensing classification.There exists great randomicity on the result of points and cluster sample verification on the different Sampling design.On the same sampling design

the stability of point sample verification is higher than that of Cluster sample verification.Secondly

the average accuracy of different sampling designs of multi-point and multi-cluster sample verification can reflect the accuracy characteristic.During the course of point sample verification

stratified sampling’s error is lower than others’.During the course of cluster sample verification

systematic sampling and stratified sampling’s accuracy are prior to simple random sampling’s.