- Express Letter
- Open Access
Pseudo-thermal anomalies in the shortwave infrared bands of the Himawari-8 AHI and their correction for volcano thermal observation
© The Author(s) 2018
- Received: 6 September 2018
- Accepted: 25 October 2018
- Published: 6 November 2018
The Correction to this article has been published in Earth, Planets and Space 2018 70:187
- Stray light
- Observation data correction
- Thermal anomaly
Volcanic eruptions bring high-temperature gas or magma to the surface of the earth. Therefore, thermal observations of these eruptions can be used to investigate the timeline of eruptive sequences. Eruptive activity includes processes that can change over short periods of time, which is sometimes related to the eruptive mode or the timing of its transitions. Thus, thermal observation of short-term eruptive processes is very beneficial for analyzing the detailed eruptive sequence of volcanoes. Himawari-8 is a meteorological satellite operating at a geostationary position approximately 35,800 km above the equator at a longitude of 140.7°E. It carries a newly developed sensor, the Advanced Himawari Imager (AHI), that operates in 16 spectral bands from the visible to thermal infrared (Japan Meteorological Agency 2015a; Okuyama et al. 2018). This instrument has great advantages for carrying out volcano thermal observations (Kaneko et al. 2018). The AHI has several shortwave to thermal infrared bands with improved spatial resolution of 2 km that can observe various scales of volcanic activity. In particular, the capability of capturing full-disk shortwave infrared images every 10 min enables us to observe short-term high-temperature phenomena that have never been measured before. This is expected to provide valuable data for analyzing eruptive processes, such as the explosion of a lava plug in a conduit, a lava-dome collapse, or the exact timing of the onset and reactivation of lava effusion, as well as the precursory signals that precede these events (Kaneko et al. 2018). The real-time high performance of the AHI observations is also effective for obtaining information for unfolding disasters.
However, during our 2 years of observation using the Himawari-8 AHI in the Asia-Pacific region, we noticed that strange thermal anomalies were frequently observed in nighttime 1.6-µm and 2.3-µm volcano images, regardless of whether the volcanoes were active. This strongly suggested that the thermal anomaly was not real but false, that is, a pseudo-thermal anomaly. Among the spectral bands of AHI, the 1.6-µm band is especially important for volcano thermal observation, as it is preferentially sensitive to high-temperature materials, such as magma exceeding several hundred degrees Celsius, while it is rarely affected by fluctuation of the background temperature (Wooster and Kaneko 1998; Kaneko et al. 2018). The 2.3-μm and 3.9-μm bands are also likely to be dominated by radiation from high-temperature surfaces, but surfaces at relatively lower temperatures will also show significant emissions within these spectral bands. These anomalies greatly degraded the usefulness of the valuable 1.6-µm band for volcano observation.
This study examined when and where this pseudo-thermal anomaly appeared and investigated its cause based on the data collected during past observations. Further, a simple correction method for this problem was devised and applied to an actual eruption to evaluate its effectiveness.
Himawari-8 AHI data are received at the Meteorological Satellite Center of the Japan Meteorological Agency and transferred to distribution servers at several institutes (Japan Meteorological Agency 2015a). We downloaded the AHI full-disk data from the science web cloud of the National Institute of Information and Communication Technology (NICT, sc-web.nict.go.jp/himawari/). Radiance values were obtained from the downloaded AHI data using the correction coefficients given in each file header (Japan Meteorological Agency 2015b), and we extracted each 101 × 101 pixel region that contained a volcano in its center using the geometric relationship defined by the normalized geostationary projection (Coordination Group for Meteorological Satellites 1999); these were the areas used for further analysis.
In this study, the following parameters were adopted to examine the time-series variation of the thermal anomalies for each band (Kaneko et al. 2018). We calculated these thermal anomalies by examining each 7 × 7 pixel region with a volcano summit at its center (the “scan region”). The parameters R1.6Mx and R2.3Mx are the pixel values (Rλ) that exhibit the maximum spectral radiance values (atmospheric- and emissivity-corrected) in the scan regions of the 1.6-μm and 2.3-μm images, respectively. Additionally, for reference, we used T3.9Mx and T11Mx, the pixel values that exhibit the maximum pixel-integrated temperatures (atmospheric- and emissivity-corrected) in the scan regions of the 3.9-μm and 11-μm images, respectively (temperatures were converted from Rλ using Planck’s equation). Details are described in Kaneko et al. (2018).
We chose six inactive volcanoes in the Asia-Pacific region to examine the annual and daily variations of the pseudo-thermal anomalies in the 1.6-µm and 2.3-µm bands in 2017, as well as their spatial variations. All of the selected volcanoes were inactive during the observation periods (Smithsonian Institution, National Museum of Natural History, Global Volcanism Program), so no thermal anomalies should have been detected for any of them. We investigated volcanoes at various latitudes—high latitude: Avachinsky (53.256°N, 158.836°E, 2717 m above sea level [ASL], Russia); middle latitude: Fuji (35.361°N, 138.728°E, 3776 m ASL, Japan) and Izu-Oshima (34.724°N, 139.394°E, 758 m ASL, Japan); and low latitude: Telong (4.769°N, 96.821°E, 2617 m ASL, Indonesia), Long Island (5.358°S, 147.12°E, 1280 m ASL, Papua New Guinea), and Epi (16.68°S, 168.37°E, 833 m ASL, Vanuatu).
Annual variation of pseudo-thermal anomalies during nighttime
Daily variations of the pseudo-thermal anomaly
Possible causes for pseudo-thermal anomaly
Considering the points discussed above, we concluded that the pseudo-thermal anomaly peaks recognized in Figs. 1 and 2 originated from stray light. The results of our research show that those effects exert definite influence upon the nighttime images of the 1.6-µm and 2.3-µm bands over very long periods during each year—about 6 months, as suggested by Okuyama et al. (2018). Examples of the stray light that affects the AHI images are shown in Fig. 3b.
Proposed correction method for stray light
The characteristics of the time-series variations made it clear that we can observe volcanoes accurately using the 1.6-µm and 2.3-µm bands during the periods outside of the spring and autumn anomaly peaks (e.g., Kaneko et al. 2018). Further, even during the peak periods, we can theoretically use these two bands if we preferentially use the nighttime data taken at times other that the hours between 12:00 and 17:00 UTC. However, such limited datasets do not give us a full picture of eruption processes. To use the 1.6-µm and 2.3-µm images to their full potential, we need accuracy every day at all times.
Based on the results shown in Figs. 1 and 2, the scale of spatial variations of R1.6_sl and R2.3_sl is inferred to be much broader than that of the area of the volcano. For example, volcanoes located in the same region, such as Fuji and Izu-Oshima, which are about 100 km apart, show approximately the same pattern (Fig. 2). This indicates that the values of R1.6_sl and R2.3_sl for the pixels of R1.6Mx_obs and R2.3Mx_obs are about the same as those at pixels located several kilometers away.
Based on the above consideration, the values of R1.6_sl and R2.3_sl can be estimated. Here, we tentatively estimated them from the average of the adjacent 14 pixels, located above and below (7 pixels each) the scan region consisting of 7 × 7 pixels in the same images as the R1.6Mx_obs and R2.3Mx_obs, respectively. The R1.6_sl and R2.3_sl obtained here also include the radiance values of the background. The values, however, are considered very low and nearly constant, as the temperature of the background is under the detection limit of the 1.6-µm and 2.3-µm bands of the AHI. They are estimated to be 0.016 × 106 and 0.045 × 105 W m−2 sr−1 m−1, respectively, from the background pixels in the periods without influence of stray light. These R1.6_sl and R2.3_sl values were used for the correction.
The atmospheric- and emissivity-corrected radiance from the volcanic ground surface, R1.6Mx_vg and R2.3Mx_vg, are obtained using Eq. (2) from R1.6Mx_vg_obs and R2.3Mx_vg_obs, respectively, and can be used to evaluate eruption activity accurately.
Application to an actual eruption: 2017 Nishinoshima eruption
To examine the effectiveness and validity of this correction method for the pseudo-thermal anomaly, that is, stray light, we applied it to an actual eruption. We chose the Phase 2 activity of Nishinoshima that occurred in 2017 (analysis of the eruption processes will be reported in a separate paper). The parameters ελ and τλ were assumed to be 1, as in Figs. 1 and 2. Nishinoshima is located 1000 km south of Tokyo, and this volcanic island, currently 2 km in diameter, was formed by eruptions during 2013–2015 (Maeno et al. 2016), known as Phase 1. On April 18, 2017 (JST), effusive activity began at the central cone and continued until the end of July (Maeno et al. 2018; Takeo et al. 2018). This is regarded as Phase 2.
Shao et al. (2016) reported that stray light is greatest in the 3.9-µm band among the mid-infrared bands of the AHI; however, in our observations, we could not recognize a pseudo-thermal anomaly in the 3.9-µm band. The reason for this is that the amount of stray light at 3.9 µm estimated as 3–4 K (Shao et al. 2016) is much lower than the level of the volcanic thermal anomaly seen in Fig. 5e.
When we observed volcanoes using the Himawari-8 AHI, we noticed that strange thermal anomalies occurred frequently and periodically in the nighttime 1.6-µm and 2.3-µm images, even at inactive volcanoes, while they did not appear in the 3.9-µm and 11-µm images. These anomalies were considered to be pseudo-thermal anomalies.
The results of our investigations of data for several inactive volcanoes showed that the pseudo-thermal anomaly appeared around the vernal and autumn equinox periods. In the daily variations, the anomaly peaked when the areas around 140°E were imaged at about midnight (between 14:00 and 15:00 UTC), which corresponded to times when the Himawari-8 imager was facing the sun. These facts suggested that the pseudo-thermal anomaly was caused by stray light, and it extensively contaminated the nighttime images in the 1.6-µm and 2.3-µm bands for about 6 months every year.
We devised a simple correction method, which assumed that the observed thermal radiance at a pixel actually consists of components from volcanic ground surface radiation and stray light that contaminated each pixel. The latter can be estimated by the pixel values of nearby inactive areas. We can obtain the component from the radiating volcanic ground surface by subtracting the estimated stray light from the observed thermal radiance.
We evaluated the validity of this method using an actual eruption. It was found that the component from stray light was satisfactorily removed from the thermal anomaly observed by the AHI in the 1.6-µm and 2.3-µm bands, and we could successfully elicit the time-series variations of the net volcanic thermal anomaly.
By adopting this correction method, we were able to use almost all of the nighttime 1.6-µm and 2.3-µm images of the AHI, half of which were formerly unusable due to the serious data degradation caused by stray light. These shortwave infrared bands are important for observing high-temperature phenomena related to magmatic activities, in particular for the 1.6-µm band, which is mostly unaffected by background temperature fluctuations. The results obtained here specifically increased the number of Himawari-8 AHI images available for observing high-temperature phenomena that change rapidly. This correction can be applied to AHI data from most of the volcanoes in the Asia-Pacific region, which allows us to retain one of the great advantages of the Himawari-8 AHI for volcano research.
TK, AY, and KT analyzed the Himawari-8 AHI images, and YY and YH examined the effects of stray light on them. All authors read and approved the final manuscript.
The Himawari-8 AHI data used in this study were collected, processed, and managed with the NICT science cloud led by K. Murata and were originally received by the Meteorological Research Center of the Japan Meteorological Agency. We thank K. Kajiwara of the Center for Environmental Remote Sensing, Chiba University, and H. Murakami of JAXA/EORC for encouragement and helpful suggestions. We are also very grateful to two anonymous reviewers for their useful comments.
The authors declare that they have no competing interests.
Availability of data and materials
This work was supported by an Earthquake and Volcano Hazards Observation and Research Program of the Ministry of Education, Culture, Sports, Science and Technology of Japan (No. 1520 to TK), GCOM/RA6 (PI No.118 to TK) from the Earth Observation Research Center of Japan Aerospace Exploration Agency (JAXA/EORC), and Grant-in-Aid for Scientific Research (A) from the Japan Society for the Promotion of Science (Kakenhi Grant 23241055 to TK).
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