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Remote Sensing Technology and Application  2022, Vol. 37 Issue (3): 539-549    DOI: 10.11873/j.issn.1004-0323.2022.3.0539
Remote Sensing Monitoring of Cultivated Land Abandonment based on Multi-temporal Collaborative Change Detection
Zhonghui Wei1,2(),Hailiang Jin1,Xiaohe Gu2(),Yingru Yang3,Gengze Wang1,2,Yuchun Pan2
1.School of Surveying and Land Information Engineering,Henan Polytechnic University,Jiaozuo 454000,China
2.Research Center of Information Technology,Beijing Academy of Agriculture and Forestry Sciences,Beijing 100097,China
3.Shijiazhuang Academy of Agriculture and Forestry Sciences,Shijiazhuang 050041,China
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Aiming at the problem of low precision of abandoned land extraction caused by complex land cover and broken land, a method of abandoned land information extraction based on multi temporal collaborative change detection was proposed. Taking Luquan District, Shijiazhuang City, Hebei Province as the research area, the Normalized Difference Vegetation Index (NDVI) of various types of cultivated land cover was analyzed by using sentinel 2a and Landsat 7 multispectral images and supported by field samples Based on the classification system of seasonal abandonment, perennial abandonment, winter wheat and perennial garden, a multi temporal collaborative change detection model was constructed to carry out remote sensing monitoring of cultivated land abandonment in the study area. The results show that the classification accuracy of seasonal and perennial abandoned farmland based on Sentinel 2A image is 95.83% and 96.55% respectively; the classification accuracy of seasonal and perennial abandoned farmland based on Landsat 7 image is 91.67% and 93.10% respectively; the seasonal abandoned farmland accounts for 4.7% and perennial abandoned farmland accounts for 7.1% in Luquan District in 2019. This method can quickly and accurately obtain the spatial distribution and area information of cultivated land in the study area, and has good extraction accuracy for abandoned land in different resolution images.

Key words:  Cultivated land abandonment      Sentinel-2A      NDVI      Multi temporal change detection      Remote sensing monitoring     
Received:  06 January 2021      Published:  25 August 2022
ZTFLH:  TP79  
Corresponding Authors:  Xiaohe Gu     E-mail:;
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Zhonghui Wei
Hailiang Jin
Xiaohe Gu
Yingru Yang
Gengze Wang
Yuchun Pan

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Zhonghui Wei,Hailiang Jin,Xiaohe Gu,Yingru Yang,Gengze Wang,Yuchun Pan. Remote Sensing Monitoring of Cultivated Land Abandonment based on Multi-temporal Collaborative Change Detection. Remote Sensing Technology and Application, 2022, 37(3): 539-549.

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Fig.1  Location of the study area
Table 1  Image data list
Fig.2  Sketch map of remote sensing image
Fig.3  Cultivated land range and investigation samples in the study area
Fig.4  Technical flow chart
Table 2  Land cover types in different months
Fig.5  NDVI time series curve of typical features
小麦0.41 ≤ V1 ≤ 0.59-0.66 ≤ V2 ≤ -0.54
多年生园地0.24 ≤ V3 ≤ 0.490.01 ≤ V4 ≤ 0.07
季荒0.02 ≤ V5 ≤ 0.140.16 ≤ V6 ≤ 0.33
年荒-0.17 ≤ V7 ≤ 0.00-0.08 ≤ V8 ≤ 0.08
Table 3  NDVI distribution interval of typical features in different phases
Fig.6  Change detection model
Fig. 7  Classification results of change detection
Fig. 8  Remote sensing monitoring map of cultivated land abandonment in Luquan district in 2019

Table 4  Accuracy evaluation of confusion matrix of Sentinel image classification results

Table 5  Accuracy evaluation of confusion matrix of Landsat7 ETM image classification results
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