Abstract

Land use and land cover (LULC) change influences many issues such as the climate, ecological environment, and economy. In this study, the LULC transitions in the Yellow River Basin (YRB) were analyzed based on the GlobeLand30 land use data in 2000, 2010, and 2020. The intensity analysis method with hypothetical errors calculation was used, which could explain the deviations from uniform land changes. The strength of the evidence for the deviation was revealed even though the confusion matrixes of the LULC data at each time point for the YRB were unavailable. The results showed that at the interval scale, the land transition rate increased from the first to the second period for all of the upper, middle, and lower reaches. The exchange component was larger than the quantity and shift component, and the gross change was 4.1 times larger than the net change. The size of cultivated land decreased during both intervals. The artificial surfaces gains were active for all three reaches and had strong evidence. A hypothetical error in 93% of the 2000 data and 58% of the 2010 data can explain deviations from uniform transition given woodland gain during 2000–2010 and 2010–2020. Ecological restoration projects such as Grain for Green implemented in 2000 in the upper reaches resulted in the woodland increase.

Highlights

  • Insight into land use and land cover (LULC) change at a watershed scale is meaningful because of the multi-functions provided by the land

  • The uncertainties and limitations of 41 regional and 23 global land use data sets were compared, and the results showed that GlobeLand30 and FROM-GLC [28] have the finest spatial resolution at the global extent [29]

  • We examined the LULC change in the upper, middle, and lower reaches of the Yellow River Basin (YRB) during two time intervals

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Summary

Introduction

Insight into land use and land cover (LULC) change at a watershed scale is meaningful because of the multi-functions provided by the land. This computation is important due to the influence of human activities on the watershed. Changes to watershed land use by urbanization, ecological restoration projects, and agriculture are increasingly of concern [1]. These developments lead to LULC changes that affect the ecological environment, crop yield, and water resources [2]. Assessing data errors could complement systematic analysis of LULC change [3]

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