'NISAR Can Measure Earth Changes Down To millimeters': Paul Rosen On The Satellite's Precision

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简要总结

本次访谈重点介绍了印度空间研究组织(ISRO)与美国国家航空航天局(NASA)合作的尼萨尔(NISAR)卫星项目。项目科学家保罗·罗森详细解释了NISAR卫星的独特设计、合成孔径雷达(SAR)技术的工作原理,以及该卫星在地球观测、灾害监测和气候变化研究中的重要作用。

  • NISAR卫星配备了由ISRO和NASA共同建造的双频雷达,能够穿透云层,昼夜不间断地获取地球表面的高分辨率图像。
  • 通过合成孔径雷达干涉测量技术,NISAR能够精确测量地球表面的微小变化,精度可达毫米级,这对于监测地震、火山等地质活动具有重要意义。
  • NISAR的数据将有助于科学家们更好地了解碳循环,并为森林和农作物管理等应用提供支持。

介绍尼萨尔卫星及其独特设计

尼萨尔(NISAR)是一颗独特的卫星,配备了由印度空间研究组织(ISRO)和美国国家航空航天局(NASA)共同建造的两个强大的雷达系统。这种设计使卫星能够对地球进行独特的测量,利用大型反射器实现宽幅覆盖,每12天从两个有利位置覆盖地球上的所有陆地和冰面。任务期间,卫星持续提供数据,从而可以制作地球的三维动态图像,用于观测冰盖、海冰、森林以及各种自然灾害的变化。

合成孔径雷达(SAR)技术详解

合成孔径雷达(SAR)技术结合了相机和微波炉的原理。它使用微波(雷达波长)进行测量。由于这些波长较长,当能量发送到地面时,会照亮非常宽的区域,导致分辨率较低。为了获得地球的精确清晰图像,SAR利用雷达沿轨道飞行并多次发送能量脉冲的特性。通过计算机将沿轨道收集的多个回波组合起来,模拟出一个长达10到20公里的天线,从而将分辨率提高到5到10米的人类尺度。

雷达成像与光学成像的比较

光学图像对地球表面的化学性质敏感,而雷达则具有独特优势,它可以穿透云层,实现昼夜观测,提供完整可靠的覆盖。这在森林火灾或自然灾害等情况下非常重要,因为在这些情况下,可能存在云层覆盖,需要独立于天气条件的测量数据。此外,雷达频率对电学性质、含水量以及波长尺度的详细形状敏感,通过可见光谱之外的“眼睛”进行成像。

尼萨尔卫星的图像呈现方式

尼萨尔卫星测量的是人眼无法看到的频率,这些频率高于彩虹中的红色。为了显示数据,通常会结合L波段和S波段(两种不同的频率)以及极化信息。通过将极化和频率信息组合成假红色、假绿色和假蓝色,可以创建彩色图像,这些图像提供的信息与光学图像不同。

选择双频雷达的原因

拥有更多的频率内容总是好的。虽然理想情况下,雷达也应该像光学领域一样拥有多个甚至数千个通道,但雷达通常是大型仪器,涉及整个航天器,因此难以获得大量频率。尼萨尔卫星首次在自由飞行任务中同时搭载两个雷达,并在整个任务期间同时运行,这是一项独特的能力。

尼萨尔卫星的设计与建造过程

尼萨尔项目已经进行了大约11年。该项目源于之前的研究,特别是美国的“命运”(Destiny)任务概念。在“命运”任务期间,项目团队对各种设计方案进行了权衡,最终选择了当前的反射器设计。这种新设计能够同时提供更高的分辨率和更宽的覆盖范围。与印度空间研究组织(ISRO)的合作对于确定如何建造卫星至关重要,因为这高度依赖于航天器的设计。

尼萨尔卫星的部署与运行

尼萨尔卫星的各个子系统将在发射后的30天内逐步启动。雷达将在发射后20到30天内开始运行。吊杆和反射器的展开将在第10天到第18天之间进行。卫星将位于距离地球747公里的轨道上。

尼萨尔卫星的科学目标

尼萨尔卫星将用于研究冰盖和海冰及其与海洋和大气的相互作用,监测森林覆盖和土地利用变化,以及农业变化和作物健康。这些雷达非常适合用于理解碳循环和改进森林及农作物管理等应用。此外,卫星还将研究固体地球和自然灾害。凭借其全天候能力,尼萨尔可以在灾害发生后立即提供可靠信息,评估破坏或损害情况。

尼萨尔卫星在碳排放和气候变化中的作用

尼萨尔卫星将在碳排放和气候变化研究中发挥重要作用。地面生物量变化是碳循环中较大的误差来源之一,尼萨尔的主要目标是测量这种变化,减少误差范围,并帮助碳模型研究人员理解碳交换。

尼萨尔卫星测量地球表面微小变化的能力

尼萨尔卫星利用雷达干涉测量技术,能够测量地球表面位置的微小变化,精度可达毫米到厘米级别。通过在12天后从同一有利位置再次测量图像,并计算这些图像的相位差,可以精确测量地球的运动。这些地图被科学家用于模拟事件发生前后的情况,例如地震。

12天观测间隔的原因及数据共享

12天的观测间隔是科学家和工程师之间权衡的结果。科学家希望尽可能频繁地获取数据,并获得尽可能高的分辨率,但在整体设计空间有限的情况下,需要进行权衡。通过考虑科学需求和技术限制,最终选择了12天的重复周期,以优化科学成果。尼萨尔卫星的数据将提供给全球科学界。

与印度空间研究组织(ISRO)的合作

与印度空间研究组织(ISRO)的合作非常棒。双方可以分享科学目标和应用目标。ISRO在将科学数据转化为实际应用方面非常成熟,而NASA更侧重于全球科学研究。双方在合作中互相学习,共同推进项目进展。

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0:00 So on 30th of July there was a major significance for ISRO as a major collaboration with NASA and we saw the launch of GSLV M2 with NISAR satellite and we have project scientist Paul Rosen with us. Thank you so much for speaking to us. Would you like to say something about the satellite NISAR in particular because the design itself looked completely different from a conventional satellite? >> Sure. NISAR is a first-of-a-kind satellite. It has two very powerful radars. one built by ISRO, one built by NASA. By virtue of this design, we are able to make unique measurements of the Earth. It because we have that large reflector, uh it allows us to get a very wide swath, cover the Earth every 12

0:46 days from two vantage points and all the land and all the ice covered surfaces. So we are delivering data continuously over the mission effectively making three-dimensional movies of the earth that allow us to see changes of the ice sheets of the sea ice of forests uh and all kinds of natural hazards. It's a really powerful powerful mission. Well, before talking to you, I had the ability I mean we just spoke to a couple of school students who had come to uh ISRO and they were very much keen and interested to know about certain parts of it and one was SAR what is synthetic aperture radar and how does it work? >> You can think of it as a combination between uh a camera and a microwave oven. So we use microwaves the radar

1:32 wavelengths to be able to make these measurements. But because these wavelengths are very long, when you send energy to the ground, it illuminates a very wide area which is quite low resolution and maybe many kilometers. So you can't get a precise sharp view of the earth. We use the fact that the radar is flying along its orbit and sending out pulses of energy many many times. So every point on the ground is imaged many times at this very low resolution. And by taking many of these uh echoes along the track, we can combine them in a computer as though the antenna that we're using is 10 kilometers or 20 km long. And that then means that we can get the resolution

2:19 down to, you know, human scale size, high resolution, 5 to 10 m. It's a it's almost magical technique actually. That's why because like you you're using a 10 or 12 m wide reflector but the distance would be almost 10 to 20 km. >> The the data we use to create a synthetic antenna is over is collected over a 10 km to 20 km uh range along the orbit. So, uh, technically a camera uses a lens to focus energy into a single point, >> reflected energy from Earth, >> reflected energy from the Earth. And this radar is using essentially all of these pulse pulses along the track and adjusting them uh in the computer as

3:04 though it's focusing it through a lens so that we get the sharp resolution. >> And why is it much better than an optical uh imaging of Earth? Well, optical images of course have their uh their function. Uh they are sensitive to the chemical properties of what's going on on the earth. Radar is fundamentally different from that. It can see through the clouds. It can see day and night. So it provides complete reliable coverage at all times. So it's excellent for the cases where you might absolutely require it independent of weather and smoke and that kind of thing. for think of a a forest fire or a natural disaster where there's cloud cover and you absolutely want to have those measurements. It's great for that. In addition, these radar frequencies are sensitive to different

3:50 things. They're sensitive to the uh electrical properties, the water content as well as the detailed shapes at the at the scale of the wavelength. So, we're actually imaging through a completely different set of eyes, an invisible part of the spectrum. >> That's what my next question from another student though. So the question was will we see the image in red, green and blue or will it be like an optical image will there be any difference the image generated? >> So the answer is no and yes. So we don't actually see those frequencies. We're actually measuring invisible frequencies above the red color in the rainbow. So if you imagine a rainbow in the sky, our frequencies are invisible way above that. However, when we display the data,

4:37 what we typically do is take both the L and the Sband, which are two different colors. They're two different frequencies. We also take the polarometric information. Just like polaroid glasses can uh orient certain kinds of light, we can use polarization to understand the structural properties on the ground as well. So by combining the polar and frequency information into a false red and a false green and a false blue, we can create color images that are telling us something different from what an optical image would. >> And why was an Sband and Lband, a dual frequency radar was used in uh NISA? >> Well, it's always great to have more frequency content. uh and for example in

5:24 the optical domain they go from a single uh channel pan chromatic to a multi-spectral with multiple channels to a hyperspectral with thousands of channels. Ideally we would do that with radar as well. Uh typically radars are large instruments and often involve the entire spacecraft. So uh it's more difficult to get lots of frequencies. So we're starting with two. This is the first time that two radars have been flown in space in a free-flying mission for the life of the mission uh and operating simultaneously. So, it's a really unique uh capability. Not just that, the satellite itself is unique considering the boom has to unfold itself and then the antenna has to expand or unfurl almost like an origyami

6:10 uh kind of vertic design that you've used over here. How did you what you know finalize on this particular design and how much work was put on it? >> Uh well we've been working on this project for almost what is it 11 years now. So and before that we were doing many different studies. Uh NISAR derived from previous studies. There was a mission concept called destiny in the United States. And during the Destiny period, which was before NISAR, we went through a set of uh design trades where we looked at the conventional kind of antenna to the kind that we have now with the reflector and then a a feed system on the spacecraft. And we determined that this new design would allow us to get more capability, more

6:56 higher resolution and wider swath at the same time uh over the conventional systems. So we went down this path and once we made that decision that this was the right thing to do then we uh had to figure out how to construct it and that wasn't done in great detail until we had our partnership with ISRO because it was highly dependent on the spacecraft designing the fairing and everything like that. So it it was an the process is highly iterative. We have a concept, we flesh it out on paper, we talk about it, we uh do some analysis and then we say well that doesn't quite work. Let's try something else. And so that process takes a couple of years iterating with

7:44 our uh ISRO partners and then we come up with a design. It gets reviewed and certified that this is the right way to go and we c we can achieve it in a technical sense and then we proceed that way and it's it's a multi-layered uh iteration. It's going to take 8 days for it to turn operational, right? Minimum. >> Uh, so it it depends on what you need. We are turning on various subsystems over the first 30 days. It's going to be 30 days before well 20 to 30 days, somewhere in that range before the radars are actually turned on and operational. The deployment of the boom and the reflector, that's going to be from day 10 to day 18. Yeah. >> So, it's going to be stationed at 747 kilometers from Earth. >> That's right. So coming to the as a launch is a success and it has been

8:31 stationed in the uh right altitude. What is NISAR going to look for? >> Uh scientifically it's NISAR is going to look for uh many things. Uh it has specific requirements on the US side in studying ice sheets and sea ice and their interaction with the ocean and the atmosphere. It's going to be looking at forest cover and forest use uh change as well as uh disturbance, agricultural changes and uh crop health as well as wetland uh and inundation studies. But these radars are very well suited to those kinds of measurements to understand the carbon cycle and understand better applications such as forest and and crop management. We're

9:18 also studying solid earth and natural hazard. As I mentioned before, NISAR has this all-w weather dayight capability. And in the event of disasters, we can uh as soon as we fly over, we can get reliable information, compare that information to what happened before and actually come up with a uh a measurement of where uh destruction or damage may have occurred quite precisely. Past systems that are not quite as capable of NICAR have already demonstrated this capability. Scientifically, we're studying earthquakes, volcanoes, landslides, other natural hazards to understand better their mechanisms and understand potential ways to forecast risk better for the public. >> Does that mean NISAR is going to play a very important role in carbon emission

10:05 and its effect on climate change? >> Yes. One of the larger um one of the larger error sources in the carbon cycle is the above ground biomass variability. So one of our main objectives is to measure that variability, reduce the error bar and help carbon modelers to understand that exchange. >> Earlier you have said that NISAR has the ability to even uh identify millimeter level changes when it comes to the earth's surface. Yes. a micro level which can be used like what unfortunately happened yesterday the 8.2 Rita >> absolutely we have the ability using NISAR has the ability using a technique called radar interferometry to measure changes in the position of

10:51 the earth down to millimeters to centimeter scale depending on the area and other conditions. We do this by using the wavelength of the radar as a yard stick effectively. We fly over once, measure the the distance >> kind of thing. >> It it's actually a direct measurement of the phase change. Uh we we me we measure an image we come back again 12 days later and measure a g an image from the same vantage point and by basically taking the difference of these images which are complex images. We have a magnitude and a phase. That phase change which is very precise can be used to measure the motion of the earth down to you know millimeters. So we do these maps and they are used in

11:36 by scientists to model what happened from before to after an event. Uh in the case of the earthquake yesterday, we would have been able to map the precursor earthquake which was I think an order magnitude 7 or above earthquake before the largest one. we would have seen that earthquake, done some modeling and tried to understand what the potentials for the next earthquake might be and maybe um we could at least understand where the potential for the earthquake would be. Timing of earthquakes forecasting is quite difficult. So, but nonetheless, every piece of information is extremely important when lives are at risk. >> Uh any reason why we have a 12 days interval and uh will these datas be available for the uh global scientific

12:21 community? Yeah. So, the 12-day interval is uh one of these engineering trades that we had to do uh with the scientists and the engineers. Sc if you ask a scientist how often they would like data and at what resolution, they'll tell you give it to me as soon as I can get it uh as quickly as possible sampling every day and give me the finest possible resolution. And when you have uh limits on your uh overall design space, you can't give them always that. So by looking at uh a a number of trades, looking at the science, looking at the requirements for what they needed to push the envelope on uh on understanding the earth one step further, which is generally recommended by the global community. They say these are our big

13:08 challenges. This is what we want to do. So, by looking at those requirements and then let's uh let's think about does that need to be a 12-day repeat or a 24-day repeat or an 8- day repeat. >> You chose >> we choose we choose the one that that optimizes the science for the uh available resources that we have in terms of what we can launch and what the cost is. >> Finally, how was the collaboration with uh ISRO? >> It was fantastic. I I can tell you as a scientist I just had nothing but fun working with our Indian colleagues at all the different centers at ISRO. We uh we could share with each other our science goals and our applications

13:53 goals. The program at ISRO is very highly developed in taking data from science into applications. NASA tends to focus on more global science and doesn't always go all the way to the applications in every case. So we learned a lot from that uh that endto-end capability at Israel and I think ISRO has been uh pleased with the interaction with us where we tend to focus on these global problems. >> Oh, I can vouch for that. We are very happy to have you here actually. And about future collaborations with ISRO? >> Yes, I I welcome it. >> Do you have any plans? >> Uh we have we we don't have any definitive plans at the moment. This is something that NASA and ISRO at the level above me would talk about, not so much me. Uh but you'd be very interested. >> I would be very interested personally as

14:40 a scientist and uh and a team member to continue the collaboration as long as we can. We've only really started the mission right now even though it's taken 11 years to get here. >> Next five years >> the next five years and hopefully beyond we'll be we'll be working with this road to get wonderful data and after the first year or two we may change the minds of everybody in the world that this must be continued into the into the future. Maybe, maybe not, but we'll see. >> Well, thank you so much for talking to us. Very nice meeting you as well. That was Paul Rosen, the science ID behind NISAR, a satellite that was launched with a collaboration from ISRO and NASA and it is definitely going to play a major role in providing data and thereby saving a lot of lives. for Daniel from Mother Point today.

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