WANG Zhongting, XIN Jinyuan, JIA Songlin, et al. Retrieval of AOD from GF-1 16 m camera via DDV algorithm[J]. Journal of Remote Sensing, 2015,19(3):530-538.
WANG Zhongting, XIN Jinyuan, JIA Songlin, et al. Retrieval of AOD from GF-1 16 m camera via DDV algorithm[J]. Journal of Remote Sensing, 2015,19(3):530-538. DOI: 10.11834/jrs.20154110.
As a newly launched earth observing satellite of China
the GF-1 satellite is intended to be applied for land resource
agriculture
and environment protection. This satellite contains four wide field viewing cameras that have a spatial resolution of16 m at nadir. For the application of 16 m cameras
the aerosol monitoring research need to be processed as soon as possible. This study investigated the application of dark dense vegetation to the 16 m camera of GF-1.First
blue-only algorithm was compared with blue and red algorithm with simulation retrieval based on the ground-based measurements of the typical vegetation surface spectrum. A linear relationship exists between blue and red vegetation surfaces. Thus
compared with the blue-only algorithm
the blue and red algorithm can remove land surface influence better from the top of the atmosphere reflectance. During retrieval
atmosphere correction needs to be performed to remove false dark targets
which are caused by the decrease of Normalized Difference Vegetation Index with the increase of Aerosol Optical Depth( AOD).Tianjin
which is located in the north of China
was selected as the area of the retrieval experiment
which was conducted from August 2013 to October 2013. The result shows that aerosol distribution can be monitored efficiently by using GF-1 16 m cameras.However
the result is partly affected by cloud and haze
which restrict the capability of these cameras. The algorithm is validated by ground-based measurements of a handheld sun photometer in the west of Tianjin and the Beijing site of AERONET. Satelliteretrieved measurements demonstrate good agreement with ground-based measurements
and the correlation coefficient is greater than0. 8.Error analysis shows that:( 1) If the viewing zenith angles of the entire image are set to the same value
the retrieved AOD error can be maximized to 0. 3;( 2) Calibration accuracy influences retrieved accuracy
and when the calibration error is lower than 3%
the retrieved error is lower than 10%;( 3) Urban aerosol can cause a large retrieval error.