基于遥感的渭北干旱高原植被覆盖度动态监测

Pub Date : 2023-08-31 DOI:10.3329/bjb.v52i20.68198
None Yanan Li, None Li Qi
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引用次数: 0

摘要

以渭北旱塬典型地区阜县为研究对象,利用Landsat 8 OLI遥感影像计算了该地区归一化植被指数(NDVI)。在此基础上,根据二元像元模型对研究区植被覆盖度进行估算和分级,定量分析研究区2013 - 2017年植被覆盖度的动态变化。结果表明:2013 - 2017年研究区NDVI总体呈上升趋势;研究区植被覆盖度以极高植被覆盖度为主。低、中、高植被覆盖面积减小,极高、极低植被覆盖面积增大。高植被和极高植被覆盖面积占研究面积的75%以上。研究区植被覆盖度呈现极低植被→低植被→中等植被→高植被覆盖度的转移趋势。植被覆盖度总体呈向好的趋势发展,但也有由高植被覆盖度向中等植被覆盖度的转变。研究区NDVI变化最大的区域主要集中在西北部和达马沟南部附近,子午岭国家级自然保护区NDVI高区域向东移动、变窄。精度评价表明,融合图像时间序列的动态监测结果具有较高的精度。[j] .植物学报,52(2):479-486,2023(6):特刊
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Dynamic monitoring of vegetation coverage in weibei dry plateau based on remote sensing
Taking Fu County, a typical area of Weibei dry plateau, as the research object, the normalized difference vegetation index ( NDVI ) was calculated by using Landsat 8 OLI remote sensing image. On this basis, the vegetation coverage in the study area was estimated and graded according to the binary pixel model, and the dynamic changes of vegetation coverage in the study area from 2013 to 2017 were quantitatively analyzed. Results showed that the overall NDVI value in the study area increased from 2013 to 2017. The vegetation cover in the study area is dominated by extremely high vegetation cover. The coverage area of low, medium and high vegetation cover decreases, and the coverage area of extremely high and extremely low vegetation cover increases. The coverage area of high vegetation and extremely high vegetation cover accounts for more than 75% of the study area. The study area showed a transfer trend of extremely low vegetation→low vegetation→medium vegetation→high vegetation coverage. The vegetation coverage generally developed to a good trend, but there was also a transfer of high vegetation coverage to medium vegetation coverage. The areas with the greatest changes in the study area are mainly concentrated in the northwest and near the southern Damagou, and the high NDVI area of Ziwuling National Nature Reserve has moved eastward and narrowed. Accuracy assessment indicates that the dynamic monitoring using the fused image time series produces results with relatively high accuracy. Bangladesh J. Bot. 52(2): 479-486, 2023 (June) Special
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