| 基于星载GNSS-R获取川藏交通廊道沿线地表土壤湿度 |
| |
| 引用本文： | 胡羽丰,汪吉,李振洪,彭建兵.基于星载GNSS-R获取川藏交通廊道沿线地表土壤湿度[J].地球科学,2022,47(6):2058-2068. |
| |
| 作者姓名： | 胡羽丰 汪吉 李振洪 彭建兵 |
| |
| 作者单位： | 1.长安大学地质工程与测绘学院, 陕西西安 710054 |
| |
| 基金项目： | 国家自然科学基金项目(Nos.41941019,41904020)；;国家重点研发计划项目(No.2020YFC1512000)；;陕西省自然科学基础研究计划项目(No.2020JQ-350)； |
| |
| 摘 要： | 地表土壤湿度影响着陆-气能量交换和水循环，是泥石流、冻土冻融等灾害的重要因子，获取川藏交通廊道沿线地区土壤湿度有助于研究铁路沿线气候变化和冰冻圈灾害风险.基于CYGNSS(cyclone global navigation satellite system)星载GNSS-R(global navigation satellite system reflectometry)信号，结合土地覆盖分类、归一化差分植被指数NDVI(normalized differential vegetation index)和粗糙度等地表土壤湿度影响因子，利用人工神经网络方法建立了地表土壤湿度多参数反演模型，生成了2018—2019年连续两年的川藏交通廊道沿线地区36 km空间分辨率的地表土壤湿度日产品.经土壤水分主被动探测卫星数据检验，生成的地表土壤湿度相关系数R为0.8，均方根误差RMSE(root mean square error)为0.032 cm3/cm3，偏差Bias为0.014 cm3/cm3，可为川藏交通廊道沿线气候变化和地表灾害研究提供高连续性和可靠性的数据.
|
| 关 键 词： | 地表土壤湿度 川藏交通廊道 CYGNSS GNSS-R 人工神经网络 遥感 |
| 收稿时间： | 2021-12-11 |
Land Surface Soil Moisture along Sichuan-Tibet Traffic Corridor Retrieved by Spaceborne Global Navigation Satellite System Reflectometry |
| |
| Abstract: | Land surface soil moisture affects the land-air energy exchange and the water cycle, which is an important factor for geohazards such as debris flow and freeze-thaw of permafrost. Obtaining soil moisture along the Sichuan-Tibet traffic corridor corridor contributes to study climate change and the risk of cryospheric hazards along the railway. In this study, CYGNSS(cyclone global navigation satellite system) GNSS-R(global navigation satellite system reflectometry) signals, combined with land cover, normalized differential vegetation index (NDVI), land surface roughness, and other surface soil moisture influencing factors, are taken as input parameters to the artificial neural network method to establish a multi-parameter inversion model of surface soil moisture. Then it generates a daily product of surface soil moisture with a spatial resolution of 36 km in the area along the Sichuan-Tibet railway for two consecutive years from 2018 to 2019. With soil moisture active and passive (SMAP) soil moisture as references, the correlation coefficient R of the soil moisture is 0.8, the root mean square error (RMSE) is 0.032 cm3/cm3, and the Bias is 0.014 cm3/cm3. The soil moisture products could provide continuous and reliable data for the study of climate change and land surface hazards along the Sichuan-Tibet traffic corridor. |
| |
| Keywords: | |
|
| 点击此处可从《地球科学》浏览原始摘要信息 |
|
点击此处可从《地球科学》下载全文 |
|
