Land Surface Reflectance Retrieval from Hyperspectral Data Collected by an Unmanned Aerial Vehicle over the Baotou Test Site
文献类型：SCI/SSCI论文
| 作者 | Wu H. |
| 发表日期 | 2013 |
| 关键词 | atmospheric correction algorithm vapor column abundance remote-sensing data signal-to-noise test field vicarious calibration spectral calibration images simulation sensors |
| 英文摘要 | To evaluate the in-flight performance of a new hyperspectral sensor onboard an unmanned aerial vehicle (UAV-HYPER), a comprehensive field campaign was conducted over the Baotou test site in China on 3 September 2011. Several portable reference reflectance targets were deployed across the test site. The radiometric performance of the UAV-HYPER sensor was assessed in terms of signal-to-noise ratio (SNR) and the calibration accuracy. The SNR of the different bands of the UAV-HYPER sensor was estimated to be between approximately 5 and 120 over the homogeneous targets, and the linear response of the apparent reflectance ranged from approximately 0.05 to 0.45. The uniform and non-uniform Lambertian land surface reflectance was retrieved and validated using in situ measurements, with root mean square error (RMSE) of approximately 0.01-0.07 and relative RMSE of approximately 5%-12%. There were small discrepancies between the retrieved uniform and non-uniform Lambertian land surface reflectance over the homogeneous targets and under low aerosol optical depth (AOD) conditions (AOD = 0.18). However, these discrepancies must be taken into account when adjacent pixels had large land surface reflectance contrast and under high AOD conditions (e. g. AOD = 1.0). |
| 出处 | Plos One |
| 卷 | 8 |
| 期 | 6 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 1932-6203 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/30591]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Wu H.. Land Surface Reflectance Retrieval from Hyperspectral Data Collected by an Unmanned Aerial Vehicle over the Baotou Test Site. 2013. |
入库方式： OAI收割
来源：地理科学与资源研究所
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