本研究用監督式影像分類,判釋2018、2020年上半年雲林地區福衛五號衛星影像,以QGIS分區統計功能,擷取水稻空間資訊,計算兩個年度高鐵黃金廊道內、外區域的水稻面積。並配合水利署地層下陷監測井資料,討論水稻面積變化與地層下陷的關係。研究結果發現高鐵黃金廊道內,2020年一期稻作面積較2018年減少的程度較高鐵廊道外明顯,且同期廊道內地層下陷量減緩程度亦較廊道外顯著。兩者在95%的信心水準下,通過t檢定,顯示廊道內、外在水稻面積減少量和地層下陷減緩的程度存在顯著差異,說明黃金廊道內可能因水田轉作為旱作,而使地層下陷有減緩的現象。
In this study, we used the supervised image classification to interpret the Formosat-5 image in Yunlin area during the first season of 2018 and 2020. We used the function of QGIS Zonal Statistics to retrieve the spatial information of rice inside and outside the Golden Corridor, respectively. Based on the Land Subsidence Monitoring Wells data collected from the Water Resources Agency, we discussed the relationship between the changes in the rice area and land subsidence. We found that the area of the first crop of 2020 was significantly less than 2018 within the Golden Corridor. We also found that the decrease in the depth of land subsidence of the inner side, was also more significant than that of the outer area. At a 95% confidence level, the results of the t-test shows significant differences in the reduction of rice area and land subsidence on both the inner and outer sides of the Golden Corridor. The results also suggested that the policy of converting rice paddy fields to dry land farming is probably effective in reducing land subsidence.