Sampling design is a prerequisite for field campaigns,which is especially important for the supporting of bio-physical production validation.A good sample should get a proper compromise between representation of heterogeneous surface and implementation cost.Rugged terrain in mountainous areas complicates the sampling designing, resulting from its more heterogeneous and inaccessible characteristics.A novel sampling strategy was proposed based on constrained Latin Hypercube Sampling to address this problem.Results of a comparison experiment,implemented in Hailuogou,China,show that this sampling strategy can get a sample which is representative in both feature and geographical space,and with a relatively low implementation cost.