Abstract
Global and local land-cover mapping products provide important data on land surface. However, the accuracy of land-cover products is the key issue for their further scientific application. There has been neglect of the relationship between inclusion probability and spatial heterogeneity in traditional spatially balanced sampling. The aim of this paper was to propose an improved spatially balanced sampling method using landscape pattern-based inclusion probability. Compared with other global land-cover datasets, Globeland30 has the advantages of high resolution and high classification accuracy. A two-stage stratified spatially balanced sampling scheme was designed and applied to the regional validation of GlobeLand30 in China. In this paper, the whole area was divided into three parts: the Tibetan Plateau region, the Northwest China region, and the East China region. The results show that 7242 sample points were selected, and the overall accuracy of GlobeLand30-2010 in China was found to be 80.46%, which is close to the third-party assessment accuracy of GlobeLand30. This method improves the representativeness of samples, reduces the classification error of remote sensing, and provides better guidance for biodiversity and sustainable development of environment.
Highlights
Land cover is the natural basis for the survival and development of human beings, and it affects the energy and material circulation of the Earth
RRQRR, inclusion proposed inare this paper reasonably considers thethe relationship betweenIn the inclusion probprobabilities are relative inclusion probabilities that specify the probability that a given location ability of samples and the degree of spatial heterogeneity
We take the water as an example to show how LSI-based spatially balanced sampling works
Summary
Land cover is the natural basis for the survival and development of human beings, and it affects the energy and material circulation of the Earth. The United States and the European Union have successively developed five sets of more commonly used global land-cover products, namely: (1) IGBP-DISCover Geosphere–Biosphere Program’s Data and Information System Cover) produced by the U.S. Geological Survey [8,9]; (2) UMD (University of Maryland) produced by the University of Maryland [10]; (3) MODIS (Moderate resolution Imaging Spectro-radiometer) produced by Boston University [11,12]; (4) GLC2000 (Global Land Cover 2000) produced by the European. Commission’s Joint Research Centre [13]; (5) GlobCover (Global Land Cover Product) produced by the European Space Agency [14]. In order to support the development of global change research, China completed the world’s first 30 m global land-cover product
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