Radiation performance simulation and analysis of the signal-to-noise ratio for GF-4 geostationary satellite: In the case of the coastal water in Hong Kong

被引：0

作者：

Zhu X. ^{[1
,2
]}

Tian Q. ^{[1
,2
]}

Xu K. ^{[1
,2
]}

Lyu C. ^{[3
]}

Wang L. ^{[4
]}

机构：

[1] International Institute for Earth System Science, Nanjing University, Nanjing

[2] Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing

[3] College of Resource and Environment, Linyi University, Linyi

[4] National Satellite Meteorological Center, China Meteorological Administration, Beijing

来源：

Yaogan Xuebao/Journal of Remote Sensing | 2019年 / 23卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Effective SNR; GF-4; Hong Kong coastal water; MODTRAN; Path radiance; Radiance;

D O I：

10.11834/jrs.20197128

中图分类号：

学科分类号：

摘要：

With the launch and preliminary application of the GF-4 geostationary satellite, the advantages of having both high spatial and temporal resolution enable it to have its own feature in the same type of satellites, and China has attached more importance to the research on geostationary satellite images. To evaluate the on-orbit detection capability of GF-4, thorough assessment is essential to grasp the available time of the image data on the same day and reasonably arrange the boot time to improve satellite use efficiency and prolong its life span. This objective can be accomplished by realistic radiation simulation of the imagery data and signal-to-noise ratio (SNR) study with typical objects represented by dark pixels (such as water). Based on the given spectral capabilities, geometrical, and atmospheric parameters, and in combination with land surface properties (Hong Kong coastal water), the GF-4 sensor hyperspectral remote sensing in standard atmospheric conditions, including Pan wave band and blue, green, red, and NIR-four wave bands, are simulated using the radiative transmission model MODTRAN. On this basis, the interference of atmospheric path radiance is removed to calculate the effective SNR. The data of four typical time nodes in spring equinox, summer solstice, autumn equinox, and winter solstice are selected for analysis. In this way, realistically simulated hyperspectral top-of-atmosphere apparent radiance, ground effective radiance, and path radiance are obtained. The information helps identify the effective time for the satellite to obtain high-quality water images in the observation of the same day, especially analyzing the sensitivity of the critical weak signal during the dawn-dusk period. This work fills the gaps in the data quality assessment and has a positive significance to the scientific and rational use of GF-4. Results show that the highest apparent radiance values of summer solstice and winter solstice are successive at 59.26 and 56.20 W/(m2•sr•μm), respectively, all in the blue band; and the highest ground effective radiance values of summer solstice and winter solstice are 17.52 and 12.13 W/(m2•sr•μm), respectively, also in the blue band. The highest effective SNR values of the summer solstice and winter solstice are 41.0 and 38.2 dB, respectively. The simulation results of blue band are the worst, but those of NIR, green, and Pan bands are good. To ensure the image quality, the water effective SNR of 35 dB is set as a threshold value to determine the boot time. The time of image acquisition is 7:49-17:01 in summer solstice and 9:28-15:07 in winter solstice. © 2019, Science Press. All right reserved.

引用

页码：526 / 546

页数：20

共 23 条

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