[1]DING Xiaotong,SUN Wenyi,MU Xingmin,et al.Application and Accuracy Evaluation of Multi-source Land Use/Cover Products on the Loess Plateau[J].Research of Soil and Water Conservation,2023,30(02):201-210.[doi:10.13869/j.cnki.rswc.2023.02.001]
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
30
Number of periods:
2023 02
Page number:
201-210
Column:
Public date:
2023-03-10
- Title:
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Application and Accuracy Evaluation of Multi-source Land Use/Cover Products on the Loess Plateau
- Author(s):
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DING Xiaotong1, SUN Wenyi1,2, MU Xingmin1,2, GAO Peng1,2, ZHAO Guangju1,2
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(1.State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateaus, Institute of Soil and Water Conservation, Northwest A&F University, Yangling, Shaanxi 712100, China; 2.Institute of Soil and Water Conservation, CAS & MWR, Yangling, Shaanxi 712100, China)
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- Keywords:
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land use/cover products; returning farmland to forest(grassland); accuracy verification; Loess Plateau
- CLC:
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TP79
- DOI:
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10.13869/j.cnki.rswc.2023.02.001
- Abstract:
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To accurately capture changes in spatial and temporal patterns of land use/cover on the Loess Plateau, based on six different sources of land use/cover data products, MCD12Q1, ESA-CCI-LC, GlobeLand30, GLASS, CAS-LUCC and ChinaCover, a study on the spatial and temporal patterns and transhape characteristics of land use/surface cover in the Loess Plateau region since the implementation of fallowing to forest(grass)was carried out, and the accuracy of data products from different sources was verified and analyzed. The results showed that:(1)in terms of classification characteristics and variation trends, MCD12Q1 and GLASS products were the most different from other products, followed by ESA-CCI-LC products, GlobeLand30, CAS-LUCC and ChinaCover products.(2)except for MCD12Q1 product, the trend of area change over time was generally consistent for all types of land use/cover products from different sources.(3)in terms of spatial classification, the GLASS product was the most different from other products, and the interpretation type was obviously wrong; the second was MCD12Q1 products; there were also obvious errors in the conversion of forest and grass, and the features of fallow forest(grass)were not obvious; ESA-CCI-LC and GlobeLand30 showed insufficient characteristics of conversion from farmland to forest(grassland)in the loess hilly-gully region; CAS-LUCC and ChinaCover had obvious characteristics of returning farmland to forest(grassland).(4)In terms of sampling accuracy, GlobeLand30, CAS-LUCC and ChinaCover products had the highest overall accuracy, which were 86.61%(K=0.84), 91.68%(K=0.90)and 89.45%(K=0.87), respectively. followed by ESA-CCI-LC(73.83%, K=0.69); the accuracies of MCD12Q1 and GLASS products was the lowest, which were 59.43%(K=0.51)and 36.31%(K=0.24), respectively.(5)the fusion of land use/cover multi-source data products was beneficial to improve the accuracy of the products; compared with the pre-fusion products GlobeLand30, CAS-LUCC and ChinaCover, and the total accuracy of the fusion products could be increased by 2.25%~7.30%. In conclusion, the accuracy of CAS-LUCC product has the highest accuracy, and the changes in the conversion of farmland to forest(grass)from 2000 to 2010 are more consistent with the changes in the vegetation pattern of the Loess Plateau.