Observation duration analysis for Earth surface features from a Moon-based platform

Ye, Hanlin; Guo, Huadong; Liu, Guang; Ren, Yilun

doi:10.1016/j.asr.2018.04.029

Cited by 39 publications

(27 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Then, the position of the platform must also be given in terms of (longitude and latitude). To analyze the observation geometry in the Earth coordinate system, six kinds of basic coordinate systems [sensor coordinate system, selenographic coordinate system, Moon-centered Moon-fixed coordinate system (MCMF), inertial selenocentric coordinate system (MCI), Earth-centered inertial coordinate system (ECI), and Earth-centered Earth-fixed coordinate system (ECEF)] are used; the transformations can also be found in [28]. We have…”

Section: Reference System Transformationmentioning

confidence: 99%

Geometry Numerical Simulation and Analysis for Moon-Based Earth Observation

Shen

Guo

Liu

et al. 2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Self Cite

View full text Add to dashboard Cite

Because of their scientific and social significance, large-scale geoscientific phenomena are attracting more and more attention. However, many existing Earth observation systems lack the ability to conduct long-term continuous observations on regional to global scales because of limitations on spatial and temporal coverage and the existence of systematic bias. The geometrical relationship between the Sun, Earth, and Moon is a precondition to understanding the Moon-based Earth observation (MEO). In this study, a geometry numerical simulation system for the MEO is developed based on Jet Propulsion Laboratory ephemerides data, time system transformations, and reference system transformations. Using this system, we study changes of Moon-based sensors (MBSs) subpoints in the year 2016 and from 1901 to 2016, the local azimuth-elevation angle of a point of interest on the Earth at different times in 2016 and throughout that year, and changes in observation duration at four different locations in 2016 and from 1901 to 2016. A nonlinear fitting method is used to analyze the periodic behavior of observation durations. Some factors influencing the MEO geometry are also analyzed, including the influence of the DE data source on MBS's position and on the azimuth-elevation angle of a point of interest on the Earth, the influence of the minimum observation elevation angle on the MBS observation extent, and the influence of the MBS location on the subpoint, azimuth-elevation angle, and observation period. The results show that Moon-based Earth observatory has specific and unique advantages in terms of observation geometry, which makes it suitable for observation of large-scale geoscientific phenomena.

show abstract

Section: Reference System Transformationmentioning

confidence: 99%

Geometry Numerical Simulation and Analysis for Moon-Based Earth Observation

Shen

Guo

Liu

et al. 2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Self Cite

View full text Add to dashboard Cite

show abstract

“…[L] represents the transformation matrix from the PA system to the SCRS system [41], which can be described by three Euler angles ( Figure 2). In the left part of the formula, (X SCRS , Y SCRS , Z SCRS ) T is the position of the Moon-based platform in the SCRS.…”

Section: Transformation From Srs To Scrsmentioning

confidence: 99%

“…During 2016-2019, Ye and Guo established an improved geometric model and analyzed the coverage performance and observation duration of the Moon-based platform. Furthermore, they investigated the variation regularity of the looking vector direction and the relationship with the sensor's position, and later on proposed an ideal location for the Moon-based platform [10,[38][39][40][41][42]. The result shows that Moon-based observations have large spatial coverage advantages in the study of three-polar regions and latitude between 30 • N-80 • N or 30 • S-80 • S are the ideal locations for the Moon-based Earth observation platform [10,40].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Long-Term Moon-Based Observation Characteristics for Arctic and Antarctic

et al. 2019

Self Cite

View full text Add to dashboard Cite

The Antarctic and Arctic have always been critical areas of earth science research and are sensitive to global climate change. Global climate change exhibits diversity characteristics on both temporal and spatial scales. Since the Moon-based earth observation platform could provide large-scale, multi-angle, and long-term measurements complementary to the satellite-based Earth observation data, it is necessary to study the observation characteristics of this new platform. With deepening understanding of Moon-based observations, we have seen its good observation ability in the middle and low latitudes of the Earth’s surface, but for polar regions, we need to further study the observation characteristics of this platform. Based on the above objectives, we used the Moon-based Earth observation geometric model to quantify the geometric relationship between the Sun, Moon, and Earth. Assuming the sensor is at the center of the nearside of the Moon, the coverage characteristics of the earth feature points are counted. The observation intervals, access frequency, and the angle information of each point during 100 years were obtained, and the variation rule was analyzed. The research showed that the lunar platform could carry out ideal observations for the polar regions. For the North and South poles, a continuous observation duration of 14.5 days could be obtained, and as the latitude decreased, the duration time was reduced to less than one day at the latitude of 65° in each hemisphere. The dominant observation time of the North Pole is concentrated from mid-March to mid-September, and for the South Pole, it is the rest of the year, and as the latitude decreases, it extends outward from both sides. The annual coverage time and frequency will change with the relationship between the Moon and the Earth. This study also proves that the Moon-based observation has multi-angle observation advantages for the Arctic and the Antarctic areas, which can help better understand large-scale geoscientific phenomena. The above findings indicate that the Moon-based observation can be applied as a new type of remote sensing technology to the observation field of the Earth’s polar regions.

show abstract

“…Ding et al introduced the JPL ephemeris in geometry and built connections among sensor's seleno-graphic position, point direction, and the doppler parameters of moon-based SAR [10]. Recently, a simplified geometric model is widely used for spatial and temporal scope analysis [11,12] and the simulation of earth's outgoing radiation [13][14][15]. The moon-based SAR imaging geometry is also improved [16][17][18].…”

mentioning

confidence: 99%

“…Data comparison 12. calculated results are tested by the attached test data and the results from the IERS Rapid Service/Prediction Center (http://maia.usno.navy.mil/t2crequest/t2crequest.html).…”

mentioning

confidence: 99%

Constructing a High-Accuracy Geometric Model for Moon-Based Earth Observation

et al. 2019

Self Cite

View full text Add to dashboard Cite

The Moon provides us with a long-term, stable, and unique place for Earth observation. Space agencies of various countries, including the United States, China, and Italy, have made the realization of Moon-based Earth observation an objective of their lunar missions. To date, although some conceptual studies have been presented, an accurate geometric model for Moon-based Earth observation has not yet been described. This paper introduces such a geometric model, whichconnects the attitude of a Moon-based sensor with a corresponding field of view on the Earth’s surface. The aberration and light time correction are involved. Due to the lack of high-qualityexperimental data, one qualitative comparison with Chang’E lander images and another quantitative comparison with software output are made. The comparison results show good similarity. The overallmodel accuracy is evaluated to be better than 400 at current stage and will be better than 1.500 if the seleno-graphic position is accurately determined. In direct geolocation process, the aberration and light time will cause a total 0.7 km deviation on the ground near the sublunar point. In SAR range history simulation, the light time eect will lead to a linear error, as large as tens of meters, throughoutthe integration time.

show abstract

Observation duration analysis for Earth surface features from a Moon-based platform

Cited by 39 publications

References 29 publications

Geometry Numerical Simulation and Analysis for Moon-Based Earth Observation

Geometry Numerical Simulation and Analysis for Moon-Based Earth Observation

Analysis of Long-Term Moon-Based Observation Characteristics for Arctic and Antarctic

Constructing a High-Accuracy Geometric Model for Moon-Based Earth Observation

Contact Info

Product

Resources

About