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Remote Sensing Technology and Application  2021, Vol. 36 Issue (4): 827-837    DOI: 10.11873/j.issn.1004-0323.2021.4.0827
    
Study on Spatial-temporal Dynamic Monitoring of Degree of Desertification in CPEC based on MODIS Image
Yufang Min1,2,3(),Yaonan Zhang1,3(),Jianfang Kang1,3,Keting Feng1,2,3
1.Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China
2.University of Chinese Academy of Sciences,Beijing 100049,China
3.National Cryosphere Desert Data Center,Lanzhou 730000,China
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Abstract  

Desertification is one of the most serious ecological and environmental problems in the world, especially in the China-Pakistan Economic Corridor (CPEC). Based on MODIS data, this paper extracted key surface feature parameters and quantitatively studies the law and relationship between desertification degree and surface feature parameters. Three remote sensing monitoring models of Albedo-Vegetation feature space and decision tree were constructed, and the desertification degree of CPEC in 2015 was analyzed. The results showed that the overall accuracy of Albedo-MSAVI, Albedo-NDVI and C5.0 methods were 88.33%, 85.83% and 89.2%, respectively. According to the analysis, the decision tree method was the most suitable to invert the desertification degree of CPEC. Based on the C5.0, calculated the distribution data of desertification degree from 2000 to 2015, and analyzed the changes in the desertification degree of the CPEC. The results show that the extreme and severe desertification land in the CPEC accounts for 50% to 60% of the entire region. Mild desertification land accounts for about 20%, and non-desertification land and water bodies account for about 20%. Since 1998~2002, Pakistan experienced the worst drought in 50 years, so extreme desertification and severe desertification in 2000 reached the total area 61.8%. From 2005 to 2015, extreme desertification land had decreased, and it had been converted into severe desertification land, and some mild desertification land had been converted into non-desertification land. Overall, extreme desertification had a downward trend.

Key words:  Desertification      China-Pakistan Economic Corridor      Feature space      The decision tree      MODIS     
Received:  12 June 2020      Published:  26 September 2021
ZTFLH:  X171  
Corresponding Authors:  Yaonan Zhang     E-mail:  myf@lzb.ac.cn;yaonan@lzb.ac.cn
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Yufang Min
Yaonan Zhang
Jianfang Kang
Keting Feng

Cite this article: 

Yufang Min,Yaonan Zhang,Jianfang Kang,Keting Feng. Study on Spatial-temporal Dynamic Monitoring of Degree of Desertification in CPEC based on MODIS Image. Remote Sensing Technology and Application, 2021, 36(4): 827-837.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2021.4.0827     OR     http://www.rsta.ac.cn/EN/Y2021/V36/I4/827

Fig.1  Geographic location of the study area
Fig.2  Albedo-Vegetation feature space
Fig.3  Albedo-Vegetation Index feature space of CPEC in 2015
Fig.4  Using NDVI, TVDI and Albedo to construct decision tree model of desertification
模型荒漠化程度

极度

荒漠化

重度

荒漠化

中度

荒漠化

轻度

荒漠化

非荒漠化样本点总数
Albedo-MSAVI极度荒漠化1026302113
重度荒漠化23531041
中度荒漠化13192125
轻度荒漠化01233334
非荒漠化01032327
Albedo-NDVI极度荒漠化1005017113
重度荒漠化43421041
中度荒漠化03201125
轻度荒漠化00230234
非荒漠化10042227

DT

(NDVI,TGSI, Albedo)

极度荒漠化1065101113
重度荒漠化33521041
中度荒漠化01212025
轻度荒漠化01129334
非荒漠化10122327
Table 1  Confusion matrices of the Albedo-NDVI, Albedo-MSAVI and DT models
模型荒漠化程度生产者精度/%用户精度/%总体精度/%Kappa 系数
Albedo-MSAVI极度荒漠化90.2797.1488.330.836 3
重度荒漠化85.3776.09
中度荒漠化7670.09
轻度荒漠化97.0684.62
非荒漠化85.1979.31
Albedo-NDVI极度荒漠化88.595.2485.830.802 3
重度荒漠化82.9280.95
中度荒漠化8083.3
轻度荒漠化88.2481.08
非荒漠化81.4868.75

DT

(NDVI,TGSI, Albedo)

极度荒漠化93.8196.3689.20.847 1
重度荒漠化85.3783.33
中度荒漠化8480.76
轻度荒漠化85.2985.29
非荒漠化85.1985.19
Table 2  The classification accuracy of the Albedo-NDVI, Albedo-MSAVI and DT models
Fig.5  Desertification grading map of CPEC in 2015 based on different models
荒漠化程度2000年2005年2010年2015年

面积

/km2

百分比

/%

面积

/km2

百分比

/%

面积

/km2

百分比

/%

面积

/km2

百分比

/%

极重度荒漠化576 74046.55494 89339.94401 93831.89455 86036.69
重度荒漠化188 94515.25225 64218.21259 34320.93237 15319.14
中度荒漠化99 1528100 3048.1133 07410.74108 9938.8
轻度荒漠化178 22214.39164 43413.27192 60615.55158 50612.79
非荒漠化135 33611.02189 87115.32193 30515.60220 34617.78
冰雪水体59 3154.7962 5665.0558 4444.7156 8524.58
Table 3  Statistical analysis of desertification area of CPEC during various periods
Fig.6  Desertification grading diagram of CPEC from 2000 to 2015
Fig.7  Area changes of different desertified land of CPEC in each period
Fig.8  Dynamic change map of desertified land of CPEC in 2005~2010
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