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Remote Sensing for Land & Resources    2020, Vol. 32 Issue (3) : 121-128     DOI: 10.6046/gtzyyg.2020.03.16
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A study of the landscape fragmentations of land cover structure based on Landsat8 remote sensing image: A case study of Mata watershed in Yan’an, Shaanxi Province
LI Guoqing1,2(), HUANG Jinghua1,2, LIU Guan3, LI Jie3, ZHAI Bochao3, DU Sheng1,2
1. State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling 712100,China
2. Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources,Yangling 712100, China
3. College of Forestry, Northwest A&F University, Yangling 712100, China
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Abstract  

The process of landscape fragmentation is accompanied by the decline of landscape function. Therefore, the study of landscape fragmentation is of great significance for timely monitoring of ecological security and adjustment of land cover structure. This research was designed to map the current status of land cover structure of Mata watershed using supervised classification algorithms in south of Yan’an City based on Landsat 8 satellite data and to describe its landscape fragmentation using six fragmentation indices at three organization levels: patch, class, and landscape. The results are as follows: ① The status of land cover in this area can be characterized accurately based on Landsat8 satellite image and the accuracy of supervised classification is 74% together with the kappa value of 0.68; ② Mata watershed can be classified into 6 land cover classes, i.e., forest land, shrub land, grass land, orchards land, farm land, and others land (road and village). The orchard land occupies the largest area in all land cover types; ③ The extent of landscape fragmentation for shrub, grass and farm lands is relatively more serious than that of forest, orchard and others lands, indicating that landscape functions of shrub, grass and farm lands have been weakened in capability of ecological protection and agricultural production; ④ Transforming small patches of shrub, grass and farm lands into adjacent land type with large patches should improve the integration level of landscape in the Mata watershed, which is conducive to the improvement of landscape function in Mata watershed.
Keywords landscape fragmentation      land cover      remote sensing image      random forest      Mata watershed     
:  TP79  
Issue Date: 09 October 2020
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Guoqing LI
Jinghua HUANG
Guan LIU
Jie LI
Bochao ZHAI
Sheng DU
Cite this article:   
Guoqing LI,Jinghua HUANG,Guan LIU, et al. A study of the landscape fragmentations of land cover structure based on Landsat8 remote sensing image: A case study of Mata watershed in Yan’an, Shaanxi Province[J]. Remote Sensing for Land & Resources, 2020, 32(3): 121-128.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2020.03.16     OR     https://www.gtzyyg.com/EN/Y2020/V32/I3/121
Fig.1  Location of mata watershed in Yan’an City
层次 指标 描述 单位
斑块层次 斑块面积 斑块面积 hm2
景观要素层次 斑块数量 景观要素斑块的个数 个
斑块密度 景观要素斑块数量除以景观要素斑块面积 个/hm2
平均斑块面积 景观要素总面积除以景观要素斑块数量 hm2
香农多样性 反映景观要素内所有斑块的多样性 —
景观
层次		 斑块数量 景观斑块的个数 个
斑块密度 景观斑块数量除以景观斑块面积 个/hm2
最大斑块指数 景观最大斑块面积除以景观总面积 %
香农多样性 反映景观内所有斑块的多样性 —
Tab.1  Indices of landscape fragmentation and their descriptions
Fig.2  Sensitivity and specificity indices of 6 land uses in random forest and maximum likelihood models
Fig.3  Land covers map and their corresponding area size in mata watershed
Fig.4  Frequency map for logarithmic area of landscape patches in mata watershed
土地类型 斑块数量/
个		 斑块密度/
(个·hm-2)		 平均斑块
面积/hm2		 香农多样性
森林 9 0.40 2.50 0.89
灌木 35 1.20 0.84 3.08
草地 39 0.75 1.32 2.27
果园 11 0.09 11.04 0.63
农田 22 2.61 0.38 2.69
其他 11 1.01 1.00 2.05
Tab.2  Fragmentation indices of landscape classes in mata watershed
指标 数值 单位
斑块数量 127 个
斑块密度 0.52 个/hm2
最大斑块指数 42.57 %
香农多样性 2.83 —
Tab.3  Fragmentation indices of landscape in mata watershed
Fig.5  Functional relationship between sensitivity index and landscape fragmentation index
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