| 基于无人机的高寒草甸地表温度监测及影响因素研究 |
| |
| 引用本文： | 张伟,宜树华,秦彧,上官冬辉,秦炎.基于无人机的高寒草甸地表温度监测及影响因素研究[J].草业学报,2021,30(3):15-27. |
| |
| 作者姓名： | 张伟 宜树华 秦彧 上官冬辉 秦炎 |
| |
| 作者单位： | 1.中国科学院西北生态环境资源研究院，冰冻圈科学国家重点实验室，甘肃 兰州 730000;2.中国科学院大学，北京 100049;3.南通大学地理科学学院，江苏 南通 226007;4.南通大学脆弱生态环境研究所，江苏 南通 226007 |
| |
| 基金项目： | 国家自然科学基金项目;国家重点研发计划项目 |
| |
| 摘 要： | 地表温度直接影响地表感热、潜热及辐射能量传输过程，是研究寒区植被生态水文过程的重要参数。以疏勒河源区高寒草甸为研究对象，利用无人机搭载普通及热红外相机获取6块样地植被盖度及地表温度数据，用以评估热红外相机在高寒草甸地表温度监测中的应用精度，分析高寒草甸地表温度变化特征，并结合气象因子及植被盖度数据，探究地表温度的影响因素。结果表明：热红外影像地表温度与地面实测值具有较高一致性（R2 ≈ 0.75），平均误差5 ℃以内；高寒草甸地表温度在9： 00-18： 00时段内表现为快速升温达到峰值继而波动下降的趋势，观测期内（7月4日-8月17日）未表现出显著日际变化趋势；气象因子中，太阳辐射和空气温度与地表温度呈显著正相关，起到增温作用，而空气湿度抑制地表增温，表现为显著负相关；连续降水降低裸土温度，植被覆盖度与地表温度呈现出正相关变化趋势。无人机热红外遥感技术可以快速、精准获取高分辨率地表温度数据，为高寒草甸干旱监测、土壤水分及蒸散发等反演提供数据支持。
|
| 关 键 词： | 高寒草甸 无人机热红外影像 地表温度 变化特征 影响因素 FragMAP |
| 收稿时间： | 2020-04-07 |
| 修稿时间： | 2020-04-27 |
Analysis of features and influencing factors of alpine meadow surface temperature based on UAV thermal thermography |
| |
| ZHANG Wei,YI Shu-hua,QIN Yu,SHANGGUAN Dong-hui,QIN Yan.Analysis of features and influencing factors of alpine meadow surface temperature based on UAV thermal thermography[J].Acta Prataculturae Sinica,2021,30(3):15-27. |
| |
| Authors: | ZHANG Wei YI Shu-hua QIN Yu SHANGGUAN Dong-hui QIN Yan |
| |
| Institution: | 1.State Key Laboratory of Cryospheric Sciences，Northwest Institute of Eco-Environment and Resources，Chinese Academy of Science，Lanzhou 730000，China;2.University of the Chinese Academy of Sciences，Beijing 100049，China;3.School of Geographic Science，Nantong University，Nantong 226007，China;4.Institute of Fragile Eco-Environment，Nantong University，Nantong 226007，China |
| |
| Abstract: | Land surface temperature is an important parameter in the study of the eco-hydrological processes of vegetation in cold regions.Land surface temperature directly affects the surface sensible heat,latent heat and radiative heat transfer.This research studied alpine meadow in the source region of Shule River Basin,and used an unmanned aerial vehicle mounted with RGB and thermal infrared cameras to obtain vegetation cover data and land surface temperature data of six plots.Thermal infrared images were corrected and evaluated using the measured data.The detailed characteristics of daily changes in the surface temperature of alpine meadow were analyzed,and the factors influencing the surface temperature were explored based on the meteorological and vegetation cover data.It was found that the surface temperature indicated by thermal infrared images was highly consistent with the measured value.The R2 was about 0.75,and the average error was within 5℃.On sunny days,the surface temperature of the alpine meadow first increased and then decreased,reaching the peak at 13:00-15:00,and there was no significant change trend during the observation period(July 4th-August 17th).Net solar radiation and air temperature were positively correlated with surface temperature,and these two factors played a role in increasing surface temperature,while the air humidity was negatively correlated with the surface temperature,playing a role in cooling the land surface.Continuous precipitation resulted in wet bare soil,therefore,the vegetation cover was positively correlated with the surface temperature.The UAV-based thermal infrared remote sensing technology can quickly and accurately acquire high-resolution surface temperature data,providing data support for drought monitoring,and evaluation of soil moisture and evapotranspiration of the alpine meadow. |
| |
| Keywords: | alpine meadow UAV-based thermal infrared images surface temperature change characteristics influence factors FragMAP |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《草业学报》浏览原始摘要信息 |
| 点击此处可从《草业学报》下载免费的PDF全文 |
