| 基于无人机可见光图像的荒漠草地覆盖度估算 |
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| 引用本文： | 于惠,吴玉锋,牛莉婷. 基于无人机可见光图像的荒漠草地覆盖度估算[J]. 草业科学, 2021, 38(8): 1432-1438. DOI: 10.11829/j.issn.1001-0629.2020-0712 |
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| 作者姓名： | 于惠 吴玉锋 牛莉婷 |
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| 作者单位： | 甘肃省水土保持科学研究所,甘肃,兰州,730020 |
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| 基金项目： | 甘肃省水利厅水利科研项目(甘水科外[2016]76号-6)%甘肃省自然科学基金(1506RJZA176)%国家自然科学基金(41801191) |
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| 摘 要： | 及时准确监测草地植被覆盖度,对草地资源的可持续利用及生态系统的恢复与重建具有重要意义.本研究以荒漠草地植被为研究对象,采用监督分类与植被指数直方图相结合的阈值法,分析了6种RGB植被指数对荒漠草地的识别效果.研究结果表明:归一化绿红差异指数(normalized green-red difference index,N...
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| 关 键 词： | RGB植被指数 荒漠草地 无人机 阈值法 监督分类 |
Estimation of vegetation coverage of desert grassland based on images from an unmanned aerial vehicle |
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| YU Hui,WU Yufeng,NIU Liting. Estimation of vegetation coverage of desert grassland based on images from an unmanned aerial vehicle[J]. Pratacultural Science, 2021, 38(8): 1432-1438. DOI: 10.11829/j.issn.1001-0629.2020-0712 |
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| Authors: | YU Hui WU Yufeng NIU Liting |
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| Abstract: | Effective and accurate monitoring of grassland vegetation coverage is important for sustainable utilization of grassland resources and for restoration and reconstruction of ecosystems. In this study, a threshold method combining the supervised classification with the statistical histogram of visible vegetation index was used to identify grassland vegetation. The vegetation extraction accuracies of 6 Red Green Blue (RGB) vegetation indices were evaluated. The results indicated that the Normalized Difference Green/Red Index was the most accurate index for vegetation coverage extraction (mean absolute error 2.56%, root mean square error 3.06%). The proposed method accurately estimates the vegetation coverage of desert grassland. |
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| Keywords: | RGB vegetation indices desert grassland UAV threshold method supervision classification |
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