Remote Sensing Ground Station Research Articles

Satellite data receiving antenna system for pleiades neo observation satellite

Pleiades Neo Satellite is a future optical remote sensing satellite designed for launch in 2020 with a very high spatial resolution of up to 30 cm and consists of 4 constellation satellites to continuing Pleiades-1A/1B constellation. Pleiades Neo capable of producing high temporal resolution (revisit time) in one day to collecting imagery at the same location and its performance claimed will increase up to three times when compared to the Pleiades-1A/1B constellation. LAPAN, as the main official provider in high-resolution optical satellite data in Indonesia, has planned to receive the Pleiades Neo data. This paper discusses the antenna system for receiving Pleiades Neo data by LAPAN’s remote sensing ground station with analyzing the main antenna parameter requirements if Pleiades Neo will be received on Zodiac or Viasat antenna. By calculating the Carrier to Noise Ratio (C/N) value both of antenna system and compared with Airbus Defense and Space minimum C/N requirement about 13.8 dB at 5-degree elevation. The simulation result is obtained C/N value 14 dB and 6.5 dB on Zodiac and Viasat antenna, respectively. Based on the result analysis, it is found that the Zodiac antenna system is recommended for the Pleiades Neo data reception system.

Review of the 40-year Development of China's Space Exploration

The 40 years after Chinese Society of Space Research was founded in 1980, is a period when Chinese space exploration gradually walks onto the world stage, with space science and related disciplines developed, and its applications in economic, military section and peoples daily life. The article reviews the course of Chinese space exploration that dates back to the year 1980 when the societys space exploration committee was founded, covering the main programs, their progress and output of sounding rockets, science balloons, lunar and planetary exploration, human space exploration, remote sensing ground stations, and concludes in looking to the near future.

Integration of LAPAN’s remote sensing ground station control and monitoring system application

The National Institute of Aeronautics and Space (LAPAN) - Remote Sensing has developed different website-based application systems. The application system is used to control and monitor several series of ground station processes ranging from acquisition, recording, processing, storage, to cataloguing data and remote sensing satellite products. At present these applications are still working separately which are built from various platforms both operating systems, programming, databases, infrastructure and architecture. Therefore, an application system integration solution is needed in order to facilitate and speed up ground station operators to control and monitor the processes that take place and obtain useful and valid information for decision making. The design of this system integration application is done by preparing materials and defining layouts, coding Hypertext Pre-processor (PHP), testing designs, granting domains, and providing hosting. The User Interface (UI) uses a bootstrap framework to display responsive results for each screen size.

Integration Review of National Remote Sensing Ground Station Based on Virtual Ground Station by Full Remote and Nearly Automation

National Institute of Aeronautics and Space (LAPAN) has long experience in Remote Sensing Ground Station operation, so that it is able to carry out its development and operation independently. LAPAN’s Remote Sensing has also received support from the government especially with the Roadmap, Law, and Government Regulation. Therefore, in accordance with the mandate of LAPAN in this matter represented by Technology and Data Center of Remote Sensing is required to make list, guidance, and supervision in development and operation of remote sensing ground station in Indonesia. The next stage to do is to integrate LAPAN’s Ground Station with all or some Remote Sensing Ground Stations operated by other Indonesian Ministries/Institutions in receiving remote sensing satellite data of low and medium resolution. It will use fully remote and nearly automation method in Remote Sensing Ground Station development, such as acquisition, processing and reporting stages Therefore, it is not necessary for operators in the ground station, so that it can be developed and operated optimally and efficiently according to the government’s mandate.

Characterizing long-term forest disturbance history and its drivers in the Ning-Zhen Mountains, Jiangsu Province of eastern China using yearly Landsat observations (1987–2011)

Forest losses or gains have long been recognized as critical processes modulating the carbon flux between the biosphere and the atmosphere. Timely, accurate and spatially explicit information on forest disturbance and recovery history is required for assessing the effectiveness of existing forest management. The major objectives of our research focused on testing the mapping efficacy of the vegetation change tracker (VCT) model over a forested area in China. We used a new version of VCT algorithm built upon the Landsat time series stacks (LTSS). The LTSS consisted of yearly image acquisitions to map forest disturbance history from 1987 to 2011 over the Ning-Zhen Mountains, Jiangsu Province of east China. The LTSS consisted of TM and ETM+ scenes with different projections due to distinct data sources (Beijing remote sensing ground station and the USGS EROS Center). The validation results of the disturbance year maps showed that most spatial agreement measures ranged from 70 to 86 %, comparable with the VCT accuracies reported for many places in USA. Very low accuracies were identified in 1995 (38.3 %) and 1992 (56.2 %) in the current analysis. These resulted from the insensitivity of the VCT algorithm to detect low intensity disturbances and also from the mis-registration errors of the image pairs. Major forest disturbance types existing in our study area were identified as agricultural expansion (39.8 %), urbanization (24.9 %), forest management practice (19.3 %), and mining (12.8 %). In general, there was a gradual decreasing trend in forest cover throughout this region, caused principally by China’s economic, demographic, environmental and political policies and decisions, as well as some weather events. While VCT has largely been used to assess long term changes and trends in the USA, it has great potential for assessing landscape level change elsewhere throughout the world.

A Simple Remote Sensing Ground Receiving System for Interest Creation in Systems Engineering and Geophysics Research

The METEOSAT Second Generation (MSG3) geostationary satellite main payload is the optical imaging radiometer, the so-called Spinning Enhanced Visible and InfraRed Imager (SEVIRI). With its 12 spectral channels and its high temporal resolution, SEVIRI can offer improved geophysics thematic products measurements. So, the development of a system that can exploit the temporal behavior of the terrestrial disk observations is crucial for these near-real-time applications. Advanced Very High Resolution Radiometer (AVHRR) data from polar-orbiting NOAA19 satellite are acquired and processed here. A ground station is required to collect and follow the temporal, spectral, and space evolution of the treated topic of interest. The main objective of this research is to give the most important directives for developing a simple remote sensing ground station. The system consists of hardware and software parts and gives meaningful results using received daily data from either SEVIRI-MSG3 or AVHRR-NOAA19. Satellite multi-sensor database is created and enriched everyday. A realized autotracker capable of automatic tracking satellites is mounted in our ground station. Based on received images, some acquisition and MSGViewer software processing results such as brightness temperature, Albedo conversions from the raw data, and different red–green–blue combinations between visible and infrared windows are illustrated and discussed. The system can be easily applied for operational research uses.

Validation of OMI‐TOMS and OMI‐DOAS total ozone column using five Brewer spectroradiometers at the Iberian peninsula

This article focuses on the comparison of the total ozone column data from the Ozone Monitoring Instrument (OMI) flying aboard the NASA EOS‐Aura satellite platform with ground‐based measurement recorded by Brewer spectroradiometers located at five Spanish remote sensing ground stations between January 2005 and December 2007. The satellite data are derived from two algorithms: OMI Total Ozone Mapping Spectrometer (OMI‐TOMS) and OMI Differential Optical Absorption Spectroscopy (OMI‐DOAS). The largest relative differences between these OMI total ozone column estimates reach 5% with a significant seasonal dependence. The agreement between OMI ozone data and Brewer measurements is excellent. Total ozone columns from OMI‐TOMS are on average a mere 2.0% lower than Brewer data. For OMI‐DOAS data the bias is a mere 1.4%. However, the relative difference between OMI‐TOMS and Brewer measurements shows a notably lower seasonal dependence and variability than the differences between OMI‐DOAS and ground‐based data. For both OMI ozone data products these relative differences show significant dependence on the satellite ground pixel solar zenith angle for cloud‐free cases as well as for cloudy conditions. However, the OMI ozone data products are shown to reveal opposite behavior with respect to the two antagonistic sky conditions. No significant dependency of the ground‐based to satellite‐based differences with respect to the satellite cross‐track position is seen for either OMI retrieval algorithm.

Chinese Remote Sensing Ground Station

Chinese Remote Sensing Ground Station

Future Trends in Remote Sensing Ground Station Technology

SUMMARYAn increasing number of satellites and sensors will make available a vast amount of improved earth resource imagery data. At the same time, large volumes of other data relevant to earth resources are being compiled in computerized data bases. Much of this data is amenable to graphic display.Ground stations will evolve to make efficient use of all the available data. The production of satellite and sensor independent imagery is the most important development ensuring the potential merging of different imagery and graphics data. The operational algorithms needed to achieve this end are outlined. The efficient handling of large volumes of data will require the development of data base management and interrogation methods. The increased data rates, volumes and functional capabilities will demand the use of new developments in processing hardware. These developments are discussed briefly.