| 刘治开，牛亚晓，王 毅，韩文霆.基于无人机可见光遥感的冬小麦株高估算[J].麦类作物学报,2019,(7):859 |
| 基于无人机可见光遥感的冬小麦株高估算 |
| Estimation of Plant Height of Winter Wheat Based on UAV Visible Image |
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| DOI：10.7606/j.issn.1009-1041.2019.07.14 |
| 中文关键词: 小麦 株高 遥感 无人机 数字表面模型 |
| 英文关键词:Wheat Plant height Remote sensing Unmanned aerial vehicle Digital surface model |
| 基金项目:国家重点研发计划项目（2017YFC0403203）；自治区科技支疆项目(2016E02105)；西北农林科技大学学科重点建设项目（2017-C03）；陕西省水利科技项目（2017SLKJ-7） |
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| 中文摘要: |
| 株高是作物生长过程中重要的生长指标。为探索快速准确获取作物株高的方法，利用无人机可见光图像采集系统，获取冬小麦拔节期至成熟期的高清数码图像，建立冬小麦拔节期、抽穗期、灌浆期及成熟期的作物数字表面模型(digital surface models, DSM) 及作物高度模型(crop height model, CHM)，并对模型进行验证。结果表明，冬小麦株高各生育时期CHM提取值与地面实测值极显著相关(P<0.01)，误差为 -0.10~0.09 m，相对误差为17.64%~19.60%。株高预测值与实测值拟合性较高(R=0.82，RMSE= 4.31 cm)。这说明用无人机拍摄的高清数码影像可快速估算冬小麦的株高。 |
| 英文摘要: |
| Plant height is an important growth indicator which is generally measured by ground observation. This study used the UAV visible spectral image acquisition system to obtain the plant height more quickly and accurately.The high-definition digital images of wheat from jointing stage to maturity were collected.The crop digital surface model and plant height model were set up.The results showed that plant height derived from CHM at different growth stages was significantly related to the actual plant height(P<0.01, R=0.82, RMSE=4.31 cm), with the range of error -0.10 m-0.09 m, and the average relative error 17.64%-19.60%. It was feasible to use the UAV to obtain high-definition digital images which helped to estimate the wheat plant height quickly and accurately. This study provided a reference for rapid and accurate detection of agronomic trait in large areas. |
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