Multiobjective Optimization in Repeating Sun-Synchronous Orbits Design for Remote-Sensing Satellites

Saboori, Behnam; Bidgoli, Amir Massoud; Saboori, Bahareh

doi:10.1061/(asce)as.1943-5525.0000340

Cited by 18 publications

(5 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The recent availability of near-contemporaneous Landsat-8 and Sentinel-2 data will provide increased opportunities at medium resolution [5,6], especially after the successful launch of Sentinel-2B in 2017 that now provide, with Sentinel-2A and Landsat-8, three medium resolution sun synchronous satellites on orbit. When remote sensing satellite orbits are designed, the satellite coverage may be considered in several ways including the number of observations in a given period and the revisit interval [7][8][9]. Previously, researchers have examined the number of observations in different periods for Landsat [10][11][12][13] and Sentinel-2 [14].…”

Section: Introductionmentioning

confidence: 99%

A Global Analysis of Sentinel-2A, Sentinel-2B and Landsat-8 Data Revisit Intervals and Implications for Terrestrial Monitoring

2017

View full text Add to dashboard Cite

Abstract:Combination of different satellite data will provide increased opportunities for more frequent cloud-free surface observations due to variable cloud cover at the different satellite overpass times and dates. Satellite data from the polar-orbiting Landsat-8 (launched 2013), Sentinel-2A (launched 2015) and Sentinel-2B (launched 2017) sensors offer 10 m to 30 m multi-spectral global coverage. Together, they advance the virtual constellation paradigm for mid-resolution land imaging. In this study, a global analysis of Landsat-8, Sentinel-2A and Sentinel-2B metadata obtained from the committee on Earth Observation Satellite (CEOS) Visualization Environment (COVE) tool for 2016 is presented. A global equal area projection grid defined every 0.05 • is used considering each sensor and combined together. Histograms, maps and global summary statistics of the temporal revisit intervals (minimum, mean, and maximum) and the number of observations are reported. The temporal observation frequency improvements afforded by sensor combination are shown to be significant. In particular, considering Landsat-8, Sentinel-2A, and Sentinel-2B together will provide a global median average revisit interval of 2.9 days, and, over a year, a global median minimum revisit interval of 14 min (±1 min) and maximum revisit interval of 7.0 days.

show abstract

Section: Introductionmentioning

confidence: 99%

A Global Analysis of Sentinel-2A, Sentinel-2B and Landsat-8 Data Revisit Intervals and Implications for Terrestrial Monitoring

2017

View full text Add to dashboard Cite

show abstract

“…FOR is the area covered by a detector or sensor when pointing to all mechanically possible positions which is different from the FOV. The FOV is the area covered by the sensor or detector when pointing to one position [17].…”

Section: Maximum Revisit Timementioning

confidence: 99%

“…In general, the orbit design should be treated as a multidisciplinary process, which needs to consider the satellite system such as payload properties. Saboori et al [17] proposed a multiobjective optimization tool to design repeat sun-synchronous orbits for remote sensing satellites; they considered the revisit time as a function of the tilt angle and side-lap of the satellite. However, the calculation in their work does not consider the subcycles of the orbit.…”

Section: Introductionmentioning

confidence: 99%

A Novel Technique to Compute the Revisit Time of Satellites and Its Application in Remote Sensing Satellite Optimization Design

Luo

Wang

Dai

et al. 2017

International Journal of Aerospace Engineering

View full text Add to dashboard Cite

This paper proposes a novel technique to compute the revisit time of satellites within repeat ground tracks. Different from the repeat cycle which only depends on the orbit, the revisit time is relevant to the payload of the satellite as well, such as the tilt angle and swath width. The technique is discussed using the Bezout equation and takes the gravitational second zonal harmonic into consideration. The concept of subcycles is defined in a general way and the general concept of "small" offset is replaced by a multiple of the minimum interval on equator when analyzing the revisit time of remote sensing satellites. This technique requires simple calculations with high efficiency. At last, this technique is used to design remote sensing satellites with desired revisit time and minimum tilt angle. When the side-lap, the range of altitude, and desired revisit time are determined, a lot of orbit solutions which meet the mission requirements will be obtained fast. Among all solutions, designers can quickly find out the optimal orbits. Through various case studies, the calculation technique is successfully demonstrated.

show abstract

“…Most satellites are operating in the repeat sun-synchronous orbit so they fly through the target place at the same local time within the scheduled time interval. Given the consistency of sun illumination conditions, data obtained on different days are comparable [1,2]. However, if data are needed instantly for a particular area, especially in locations where disasters occur, most satellites cannot meet the demand.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Evaluation of the GF-4 Satellite Image Quality from 2015 to 2020

Wei

Wang

Zeng

et al. 2021

IJGI

View full text Add to dashboard Cite

GaoFen-4(GF-4) is the highest spatial resolution Earth observation satellite operating in geosynchronous orbit. Its fixed Earth observation location, rapid responsiveness, and wide observation range make it popular in disaster and emergency monitoring. To evaluate the GF-4 image quality in detail on a long-term basis, this study analyzes the image quality after the commissioning phase by focusing on ground sample distance (GSD) and geometric and radiometric quality. The theoretical calculation, geometric and radiometric measurements, and on-site experiments results show that (1) the GSD of the GF-4 image is ~50 m at the nadir point and increases gradually with the distance away from the nadir point, (2) most external geometric errors are within the design requirements of 4 km despite some exceeding the limit, and the internal geometric errors are tested within 1 pixel, and (3) image sharpness is generally stable but varies with the atmosphere condition and imaging time, and the radiometric response gradually degrades at the rate of less than 5.5% per year.

show abstract

Multiobjective Optimization in Repeating Sun-Synchronous Orbits Design for Remote-Sensing Satellites

Cited by 18 publications

References 17 publications

A Global Analysis of Sentinel-2A, Sentinel-2B and Landsat-8 Data Revisit Intervals and Implications for Terrestrial Monitoring

A Global Analysis of Sentinel-2A, Sentinel-2B and Landsat-8 Data Revisit Intervals and Implications for Terrestrial Monitoring

A Novel Technique to Compute the Revisit Time of Satellites and Its Application in Remote Sensing Satellite Optimization Design

Comprehensive Evaluation of the GF-4 Satellite Image Quality from 2015 to 2020

Contact Info

Product

Resources

About