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Journal of Desert Research ›› 2023, Vol. 43 ›› Issue (3): 230-242.DOI: 10.7522/j.issn.1000-694X.2022.00129

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Mapping oasis structure data based on ChinaCover dataset: a case study of Hexi Inland River Basin

Sen Li(), Changzhen Yan   

  1. Key Laboratory of Desert and Desertification,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China
  • Received:2022-09-02 Revised:2022-10-24 Online:2023-05-20 Published:2023-05-31

Abstract:

The production of oasis thematic data with both oasis uniqueness and structural characteristics is a key basic problem to be solved in oasis research at present. In this paper, a secondary classification system of oasis ecosystem was constructed according to the characteristics of oasis. Then, taking the Hexi inland river basin (HIRB) as the study area, the object-oriented random forest classification and superposition analysis method was used to complete the land structure data mapping of oases in the HIRB from 1975 to 2020 in seven periods, combining with ChinaCover data and Landsat NDVI images. The results show that: (1) the oasis structure data mapping method based on ChinaCover data set can produce oasis thematic data quickly and accurately. (2) the overall accuracy of the primary type of the oasis ecosystem is 96.17%, and the accuracy of the secondary type is 82.64%-92.99%, which is significantly higher than that of the existing land cover products. (3) the proportion of oases in HIRB accounted for 8.97% of the study area in 2020, the primary type was mainly artificial oasis, and the secondary type was mainly cultivated land and grassland. (4) the artificial oasis in the HIRB showed a continuous expansion trend, the desert-oasis ecotone showed a shrinking trend, and the natural oasis shrank at first and then expanded in the past 45 years. The expansion of artificial oasis is mainly due to the increase of cultivated land and construction land, while the shrinkage of ecotone and natural oasis is mainly due to the decrease of grassland. This study can provide a simple and accurate data method for oasis mapping in arid areas.

Key words: mapping oasis, classification system, oasis change, accuracy evaluation

CLC Number: