Yali Gong

TL;DR: For example, in this article, the authors present a set of urban land use maps at the national and global scales that are derived from the same or consistent data sources with similar or compatible classification systems and mapping methods.

TL;DR: Wang et al. as mentioned in this paper proposed an improved spatially balanced sampling method using landscape pattern-based inclusion probability, which improves the representativeness of samples, reduces the classification error of remote sensing, and provides better guidance for biodiversity and sustainable development of environment.

TL;DR: In this paper , a stratified sampling method based on fractal (SSF) is proposed for quality assessment of remote sensing-derived geospatial data (RSGD), which can quantitatively and accurately stratify the population, which leads to minimizing the intra stratum variance, acquiring higher estimation accuracy and estimation efficiency.

TL;DR: In this paper , the authors proposed the use of spatio-temporal stratified sampling to assess thematic mappings with respect to the temporal changes and spatial clustering, and the experimental results show that the allocation of sample size by the proposed method results in the smallest bias in the estimated accuracy, compared with the conventional sample allocation.