Performance Evaluation of Four Ocean Reflectance Model

Remote Sensing

Jun Li¹  Tongji Li²  Chaofei Ma³  Qingjun Song³ 

[1] Beijing Institute of Satellite Information Engineering, Beijing 100140, China;National Ocean Technology Center, State Oceanic Administration, Tianjin 300112, China;National Satellite Ocean Application Service, Beijing 100089, China;

关键词: ORM;    chlorophyll a;    remote-sensing reflectance R_rs;    NOMAD;    China Sea;   

DOI  :  10.3390/rs13142748

来源: DOAJ

【 摘 要 】

Phytoplankton are the main factors influencing light under the sea surface in Case Ι water. The ocean reflectance model (ORM), which takes into account the chlorophyll a concentration data, can calculate the remote sensing reflectance of Case Ι water. In this study, we examined the differences and performance of four ORMs, including Morel and Maritorena (2001, MM01), Morel and Gentili (2007, MG07), Mobley (2014, MO14), and Hydrolight Abcase1 Lookup Tables. The differences between the four ORMs in terms of their absorption and backscattering coefficients were evaluated. Preformation of the four ORMs was compared using the NASA bio-Optical Marine Algorithm Dataset and in situ data from the South China Sea. The results showed that preformation of MM01 was the best.

【 授权许可】

Unknown