Assessment of satellite images terrestrial surface temperature and WVP using GNSS radio occultation data

IF 1.2 Q4 REMOTE SENSING
Aya M. Megahed, Ibrahim F. Ahmed, Heba S. Tawfik, G. El-fiky
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引用次数: 0

Abstract

Abstract Land Surface Temperature (LST) and Water Vapor Pressure (WVP) contour maps can be produced using cameras aboard satellites, for instance, under the name “Remote Sensing (RS)”. Satellite image observations should be verified before using based on a reliable data. Global Navigation Satellite System Radio Occultation (GNSS-RO) method is observing accurate Earth atmosphere parameters continuously. In the present research, LST and WVP differences between Landsat 8 (LC08), Sentinel-3 (S3), and MODIS (Terra and Aqua) images and GNSS-RO are assessed in Egypt depending on the satellites operating periods and data availability during the years from 2015 to 2020. Statistically, S3 and Terra have insignificant differences with RO temperature with an average bias of 3.48 °C and 1.47 °C, respectively, but LC08 and Aqua have significant differences with it. For WVP, Aqua and LC08 have insignificant differences with an average bias of 0.02 kg/m2 and 2.31 kg/m2, respectively, but S3 and Terra have significant differences with RO observations. When comparing LC08 LST data to other satellites, it was found that there were insignificant differences between LC08 and S3 as well as Terra. However, significant differences were observed when comparing LC08 LST data to Aqua. Additionally, significant differences were noted when comparing LC08 WVP data to other satellites. In response to these differences, improvement models have been developed to enhance the estimation of terrestrial data through remote sensing, particularly for satellites that exhibited significant disparities when compared to reference observations (RO).
利用全球导航卫星系统无线电掩星数据评估卫星图像地面温度和 WVP
陆地表面温度(LST)和水汽压(WVP)等高线地图可以使用卫星上的相机制作,例如,以“遥感(RS)”的名义。卫星图像观测在使用前应根据可靠的数据进行核实。全球导航卫星系统无线电掩星(GNSS-RO)方法是对精确的地球大气参数进行连续观测。在本研究中,根据埃及2015 - 2020年卫星运行周期和数据可用性,评估了Landsat 8 (LC08)、Sentinel-3 (S3)和MODIS (Terra和Aqua)图像与GNSS-RO图像之间的LST和WVP差异。统计上,S3和Terra与RO温度差异不显著,平均偏差分别为3.48 °C和1.47 °C,而LC08和Aqua与RO温度差异显著。对于WVP, Aqua和LC08差异不显著,平均偏差分别为0.02 kg/m2和2.31 kg/m2,但S3和Terra与RO观测值差异显著。将LC08的LST数据与其他卫星进行比较,发现LC08与S3以及Terra之间的差异不显著。然而,当LC08的LST数据与Aqua进行比较时,发现了显著的差异。此外,将LC08 WVP数据与其他卫星数据进行比较时发现了显著差异。针对这些差异,已经开发了改进模式,以加强通过遥感对地面数据的估计,特别是对与参考观测相比显示出显著差异的卫星的估计。
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来源期刊
Journal of Applied Geodesy
Journal of Applied Geodesy REMOTE SENSING-
CiteScore
2.30
自引率
7.10%
发文量
30
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