Validation of GaoFen-1 Satellite Geometric Products Based on Reference Data
- PDF / 2,268,482 Bytes
- 16 Pages / 595.276 x 790.866 pts Page_size
- 50 Downloads / 133 Views
RESEARCH ARTICLE
Validation of GaoFen-1 Satellite Geometric Products Based on Reference Data Qiyue Liu1,2 • Tao Yu1 • Wenhao Zhang1 Received: 26 December 2018 / Accepted: 21 June 2019 Ó Indian Society of Remote Sensing 2019
Abstract Applications of high-resolution remote sensing satellite data are becoming increasingly extensive. China has launched a series of high-resolution optical satellites: GaoFen-1 (GF-1), GaoFen-2, etc., and published several remote sensing image products. However, validation of the long time series of these satellite geometric products is lacking. Therefore, this study selects 2013–2016 GaoFen-1 satellite geometry products for the Beijing area over four years, obtaining a total of 164 images, and uses ZY-3 satellite products to verify the accuracy of the data set. Moreover, the positioning accuracy of the geometric products of two camera types carried by GF-1 (wide field of view, WFV; panchromatic and multispectral, PMS) is analyzed. The results yield the following conclusions. (1) GF-1 satellite geometric products have obvious systematic errors, and the error value varies significantly with the orbit time. (2) The internal distortion of the GF-1 satellite image is well controlled, and the geometric offset magnitude and direction of ground control points (GCPs) are very similar in the interior of each scene. (3) In a short period of time (20 days), the offset direction of the four WFV cameras is very similar, but there is a small difference in the mean plane offset (RMSE2D). The RMSE2D and offset direction of the two PMS cameras are very similar. (4) In the long term, the relative offset of the WFV and PMS cameras varies with the satellite orbit time. At the first year of the satellite orbit time (in 2014), the relative offsets of four WFV cameras increased to maximum (168.96 m, 171.12 m, 226.65 m, and 207.04 m). From 2015 to 2016, the offsets decreased to a relatively stable state (within 100 m). (5) This validation method based on reference data is shown to be feasible. This study provides an important reference for the application of high-resolution remote sensing satellite products. Keywords Validation GF-1 satellite Geometric product Positioning accuracy
Introduction High-spatial-resolution (HSR) remote sensing satellites are playing an increasingly important role in global Earth observations. HSR satellite images, such as Landsat TM, QuickBird, Worldview, and SPOT series satellites, have been widely used in agricultural statistics, environmental monitoring, land utilization city change detection, and energy development (Battude et al. 2016; Samiappan 2017; Persson and Perko 2016; Li et al. 2015; Hamada et al. & Wenhao Zhang [email protected] 1
Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No. 20 North Datun Road, Chaoyang District, Beijing, China
2
University of Chinese Academy of Sciences, Beijing, China
2016; Tarantino et al. 2016; Zhang et al. 2017; Yan et al. 2016). The geometric quality of HSR remote sensing satellite image products is
Data Loading...
