Earth observation from the manned low Earth orbit platforms

Guo, Huadong; Dou, Changyong; Zhang, Xiaodong; Chen, Rensheng; Yue, Xiaoying

doi:10.1016/j.isprsjprs.2015.11.004

Cited by 17 publications

(8 citation statements)

References 81 publications

(77 reference statements)

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“…There are several categories of spaceborne imaging spectrometer missions in operation and/or in development. The first are operating missions such as CHRIS on PROBA-1 [13], Chinese Tiangong-1 [14,15], the Indian Hyperspectral Imaging Satellite (HySIS) (weblink available) and the Italian PRISMA mission [16], as well as future missions such as the German EnMAP [17], the Israeli SHALOM mission (REF) and ESA’s FLEX mission [18], which are technology demonstrators as well as science missions to prepare for more advanced spaceborne imaging spectrometers and suitable analysis techniques. Another category includes large operational mapping missions such as the Copernicus Hyperspectral Imaging Mission for the Environment [19] and NASA’s Surface Biology and Geology mission (SBG) [20], which have the objective of providing global coverage at high temporal resolution to boost operational product generation and the commercial use of data to support economic growth.…”

Section: Introductionmentioning

confidence: 99%

Data Products, Quality and Validation of the DLR Earth Sensing Imaging Spectrometer (DESIS)

Alonso¹,

Bachmann

Burch

et al. 2019

Sensors

129

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Imaging spectrometry from aerial or spaceborne platforms, also known as hyperspectral remote sensing, provides dense sampled and fine structured spectral information for each image pixel, allowing the user to identify and characterize Earth surface materials such as minerals in rocks and soils, vegetation types and stress indicators, and water constituents. The recently launched DLR Earth Sensing Imaging Spectrometer (DESIS) installed on the International Space Station (ISS) closes the long-term gap of sparsely available spaceborne imaging spectrometry data and will be part of the upcoming fleet of such new instruments in orbit. DESIS measures in the spectral range from 400 and 1000 nm with a spectral sampling distance of 2.55 nm and a Full Width Half Maximum (FWHM) of about 3.5 nm. The ground sample distance is 30 m with 1024 pixels across track. In this article, a detailed review is given on the applicability of DESIS data based on the specifics of the instrument, the characteristics of the ISS orbit, and the methods applied to generate products. The various DESIS data products available for users are described with the focus on specific processing steps. The results of the data quality and product validation studies show that top-of-atmosphere radiance, geometrically corrected, and bottom-of-atmosphere reflectance products meet the mission requirements. The limitations of the DESIS data products are also subject to a critical examination.

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Section: Introductionmentioning

confidence: 99%

Data Products, Quality and Validation of the DLR Earth Sensing Imaging Spectrometer (DESIS)

Alonso¹,

Bachmann

Burch

et al. 2019

Sensors

129

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“…Artificial satellites that carry sensors to capture images of Earth's surface are referred to as remote sensing satellites. Satellites can successively observe the whole globe or an assigned part of it within a defined time period (Guo et al 2016). Aircraft often have a definite advantage because of their mobilization flexibility.…”

Section: Remote Sensing Platformsmentioning

confidence: 99%

Remote Sensing Satellites for Digital Earth

Chen

et al. 2019

Manual of Digital Earth

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The term remote sensing became common after 1962 and generally refers to nonintrusive Earth observation using electromagnetic waves from a platform some distance away from the object of the study. After more than five decades of development, humankind can now use different types of optical and microwave sensors to obtain large datasets with high precision and high resolution for the atmosphere, ocean, and land. The frequency of data acquisition ranges from once per month to once per minute, the spatial resolution ranges from kilometer to centimeter scales, and the electromagnetic spectrum covers wavebands ranging from visible light to microwave wavelengths. Technological progress in remote sensing sensors enables us to obtain data on the global scale, remarkably expanding humanity's understanding of its own living environment from spatial and temporal perspectives, and provides an increasing number of data resources for Digital Earth. This chapter introduces the developments and trends in remote sensing satellites around the world. Keywords Remote sensing • Digital Earth • Satellite • Earth observation 3.1 Development of Remote Sensing Remote sensing is a core technology for Earth observation. It covers information collection, in-orbit processing, information storage and transmission, ground reception, processing for applications, calibration, verification, applied research, and basic research, providing fundamental data resources for Digital Earth (Guo 2012).

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“…According to the usual workflow in Earth observation [32,33], after the step of mission planning, the next is taking images of targets using the payloads. Once the target area has been detected and covered, the satellite begins the procedure of transmitting target images to the ground stations.…”

Section: Network Descriptionmentioning

confidence: 99%

A Topology Control Strategy with Reliability Assurance for Satellite Cluster Networks in Earth Observation

Chen

Zhang

2017

Sensors

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This article investigates the dynamic topology control problem of satellite cluster networks (SCNs) in Earth observation (EO) missions by applying a novel metric of stability for inter-satellite links (ISLs). The properties of the periodicity and predictability of satellites’ relative position are involved in the link cost metric which is to give a selection criterion for choosing the most reliable data routing paths. Also, a cooperative work model with reliability is proposed for the situation of emergency EO missions. Based on the link cost metric and the proposed reliability model, a reliability assurance topology control algorithm and its corresponding dynamic topology control (RAT) strategy are established to maximize the stability of data transmission in the SCNs. The SCNs scenario is tested through some numeric simulations of the topology stability of average topology lifetime and average packet loss rate. Simulation results show that the proposed reliable strategy applied in SCNs significantly improves the data transmission performance and prolongs the average topology lifetime.

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Earth observation from the manned low Earth orbit platforms

Cited by 17 publications

References 81 publications

Data Products, Quality and Validation of the DLR Earth Sensing Imaging Spectrometer (DESIS)

Data Products, Quality and Validation of the DLR Earth Sensing Imaging Spectrometer (DESIS)

Remote Sensing Satellites for Digital Earth

A Topology Control Strategy with Reliability Assurance for Satellite Cluster Networks in Earth Observation

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