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Table 2 Feature variables for agricultural greenhouse extraction
Fig.5 Fine-tuning results of CNN models on different resolution images
Fig.6 Greenhouse distribution based on RF method and OCNN_FT method
Fig. 7 Detailed diagram of classification effect of different methods
Fig.8 PA， UA， OA and F-score of agricultural greenhouses under different resolution images
Fig.1 Overview of the study area
Fig.2 Location distribution of apple tree samples in Luochuan County
Fig.3 NDVI reference curve of fruit tree samples in Luochuan County
Fig. 4 Function fitting diagram of NDVI time series reconstruction based on reference curve
Fig 5 Results of flowering monitoring by remote sensing in Yan'an City
Fig 6 Proportion of initial flowering period in Yan 'an City
Fig.9 Regression equation
Table 5 Classification accuracy of different training samples for Indian Pines
Table 6 Classification accuracy of different training samples for PaviaU
Table 3 McNemar test results based on RF method and OCNN_FT method（significance α=0.05）
Table 7 Impact of different spatial resolutions on the classification results of 20 tree species
Table 1 Absolute error of flowering detection results in each study area of Loess Plateau （days）
Fig.10 Spatial distribution of flowering monitoring results and Sentinel data RGB display
Fig.4 Gravity center migration of ecological vulnerability on Shanxi province from 2000 to 2019
Fig.5 Percentage of ecological vulnerability under different ecological function areas

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