scholarly journals CHALLENGES IN OPERATIONS AND MAINTENANCE OF ANTARCTICA GROUND STATION FOR EARTH OBSERVATION SATELLITES

2018 ◽  
Vol XLII-5 ◽  
pp. 281-283
Author(s):  
N. Mangala Mani ◽  
S. Ghetiya ◽  
B. Srikanth ◽  
C. S. Padmavthi ◽  
G. Uma Devi ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Geographical Location ◽  
Austral Summer ◽  
Earth Observation ◽  
Geographical Information ◽  
Satellite Orbits ◽  
Polar Regions ◽  
Local Conditions ◽  
Ground Station ◽  
Earth Observation Satellites

<p><strong>Abstract.</strong> Remote sensing and Geographical Information System (GIS) through Earth Observation (EO) Satellites have become most important tools for many of the societal applications of day-to-day life, during the past few decades of the 21st century, and this need is rapidly increasing. Presently, EO payload (PLD) data from Polar Orbiting Indian Remote Sensing (IRS) Satellite Missions is received at the Integrated Multi-mission Ground segment for Earth Observation Satellites (IMGEOS) at NRSC, Hyderabad, India. But at this geographical location, only four out of fourteen orbits data can be acquired from each of the polar satellites. These polar satellite orbits converge at poles, hence establishing a ground station at Polar Regions has an advantage of acquiring data from ten to twelve orbits.</p><p>To increase the capability, a data reception Ground Station and Communication facility was established by ISRO at Bharati Station, Antarctica, located at 69° South and 76° East, in 2012–2013 (Austral Summer). This station is maintained for flawless operations and smooth flow of IRS Satellites EO data from Antarctica, by three Scientists/Engineers from ISRO, who overwinter at Antarctica, along with other Expedition members, by clearing the pre-requisites for an Antarctica Expedition. While this location is suitable to establish a Ground Station, the local conditions are a challenge to be faced (when established then, and now) to operate and maintain it 24<span class="thinspace"></span>&amp;times;<span class="thinspace"></span>7 throughout the year.</p>

The processing and use of data from Earth observation satellites

1984 ◽  
Vol 312 (1519) ◽  
pp. 109-114
Keyword(s):  
Remote Sensing ◽  
Earth Observation ◽  
Advanced Technology ◽  
System Designer ◽  
Satellite Systems ◽  
Use Of Data ◽  
Observation Systems ◽  
Earth Observation Satellite ◽  
Institutional Aspects ◽  
Earth Observation Satellites

Most systems reliant on advanced technology present a familiar dilemma: the system designer does not know what the customer wants, while the customer does not understand the technology well enough to know what is possible. Although Earth observation satellite systems ought ideally to be designed for all customer needs, this is impossible for several reasons. Not least of these is the difficulty of identifying at the outset all, or even most, of the possible customers. This circumstance makes the creation of Earth observation systems somewhat speculative and imposes particular constraints on the subsystems for processing and use of the data. This paper discusses the technical and institutional aspects of processing and dissemination of data from remote-sensing satellites for the benefit of the user.

Understanding satellite remote sensing

2019 ◽  
pp. 1-19
Author(s):  
Nathalie Pettorelli
Keyword(s):  
Remote Sensing ◽  
Environmental Management ◽  
Satellite Data ◽  
Satellite Remote Sensing ◽  
Earth Observation ◽  
Complex Nature ◽  
Active Sensors ◽  
Earth Observations ◽  
Earth Observation Satellites

This chapter seeks to provide a quick introduction to satellite remote sensing. It starts with a set of definitions, thereby to explain the differences between Earth observations, remote sensing, and satellite remote sensing. It then goes on to describe how satellite remote sensing works, and what the differences between passive and active sensors are. An introduction to the main sensors currently on board active civilian Earth observation satellites is provided, together with details on their key specifications. The complex nature of satellite data, as well as the tools required to manipulate and analyse them are discussed. The chapter ends with a presentation of the main issues to be aware of when dealing with satellite data, and a look at the coming sensors and datasets that will soon expand opportunities for satellite data to inform environmental management.

scholarly journals Comparison Between Surface Melt Days Estimation from a Regional Climate Model and Near-Daily Synthetic Aperture Radar Backscattering

2020 ◽  
Author(s):  
Quentin Glaude ◽  
Christoph Kittel
Keyword(s):  
Remote Sensing ◽  
Regional Climate Model ◽  
Climate Model ◽  
Regional Climate ◽  
Earth Observation ◽  
Synthetic Aperture ◽  
Polar Regions ◽  
Radar Backscattering ◽  
Surface Melt ◽  
Wide Swath

&lt;p&gt;&amp;#160;&lt;/p&gt;&lt;p&gt;Remote sensing has long been used as a powerful tool for the observation in cryospheric sciences. With the advances brought by the ESA Copernicus program, Earth observation goes a step further in its ability to get acquisitions at very high temporal rate. This is even amplified in polar regions due to heliosynchronism of satellites&amp;#8217; orbits. Earth observation shifts from sporadic observations to Earth monitoring.&lt;/p&gt;&lt;p&gt;Observations are a critical aspect for the assessment of geophysical models. The ability of a model to replicate observations is crucial as a benchmark. It also allows to refine our comprehension of Earth systems, such as in cryospheric sciences.&lt;/p&gt;&lt;p&gt;In this work, we are using the regional climate model MAR to compute the surface melt on a domain focusing on the Roi Baudouin Ice Shelf, Queen Maud Land, East Antarctica. From the results, we extract the number of days with surface melt in a region. In parallel, we employ remote sensing to obtain comparison data. Synthetic aperture radar appears as a solution of choice thanks to its day-and-night (critical in polar regions) and atmospheric-free capabilities. Radar backscattering anomalies between different dates are witnesses of substantial increase of soil moisture. Using Sentinel-1 in its wide-swath modes (namely Interferometric Wide Swath and Extra Wide Swath modes) and multiple satellite paths, near-daily acquisitions can be obtained. By comparing the two independent results, we better constraint model&amp;#8217;s outputs while also better interpret SAR acquisitions.&amp;#160;&lt;/p&gt;

scholarly journals DATA QUALITY IN REMOTE SENSING

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 447-453 ◽  
Author(s):  
C. Batini ◽  
T. Blaschke ◽  
S. Lang ◽  
F. Albrecht ◽  
H. M. Abdulmutalib ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Data Quality ◽  
Remote Sensing Data ◽  
Cost Effective ◽  
Earth Observation ◽  
Data Sets ◽  
New Era ◽  
Group Iii ◽  
Future Challenges ◽  
Earth Observation Satellites

The issue of data quality (DQ) is of growing importance in Remote Sensing (RS), due to the widespread use of digital services (incl. apps) that exploit remote sensing data. In this position paper a body of experts from the ISPRS Intercommission working group III/IVb “DQ” identifies, categorises and reasons about issues that are considered as crucial for a RS research and application agenda. This ISPRS initiative ensures to build on earlier work by other organisations such as IEEE, CEOS or GEO, in particular on the meritorious work of the Quality Assurance Framework for Earth Observation (QA4EO) which was established and endorsed by the Committee on Earth Observation Satellites (CEOS) but aims to broaden the view by including experts from computer science and particularly database science. The main activities and outcomes include: providing a taxonomy of DQ dimensions in the RS domain, achieving a global approach to DQ for heterogeneous-format RS data sets, investigate DQ dimensions in use, conceive a methodology for managing cost effective solutions on DQ in RS initiatives, and to address future challenges on RS DQ dimensions arising in the new era of the big Earth data.

Analysis of dynamic changes in the urbanization of Xixian National New Area and its driving forces

2018 ◽  
Vol 28 (9) ◽  
pp. 1181-1189
Author(s):  
Yue Chang ◽  
Kang Hou ◽  
Xuxiang Li ◽  
Yue Zhang
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Information Systems ◽  
Geographical Information Systems ◽  
Driving Forces ◽  
Geographical Location ◽  
Geographical Information ◽  
Location Factors ◽  
Dynamic Changes ◽  
Construction Land

This study analysed the dynamic changes and driving forces in the urbanization from 1997 to 2016 of Xixian, a national new development area in Xi’an City, by using geographical information systems and remote sensing. The results showed that farmland was the main land use type from 1997 to 2004. However, the construction land occupied the largest area from 2011 to 2016. There was a significant expansion in the construction land area (33.24%), unused land (91.10%) and woodland (37.59%) from 1997 to 2016. In addition, in the period from 1997 to 2016, the water body, grassland and farmland were reduced by 52.52%, 31.73% and 23.84%, respectively. The increasing area of construction land was the inevitable result of urbanization. The terrain, policy and geographical location factors are the main driving forces for changes in the land use and urbanization. The planning of Xixian National New Area’s building environment should be linked and connected with the Xi’an main districts. The findings confirmed the applicability and effectiveness of the combined method of geographical information systems and remote sensing for revealing the notable spatio-temporal features in the dynamic changes in the land use and land cover throughout different time periods of Xixian.

scholarly journals THE 2015 CEOS DISTANCE EDUCATION COURSE ON GEOLOGICAL DISASTERS MANAGEMENT

2017 ◽  
Vol 50 (3) ◽  
pp. 1643
Author(s):  
A. Mouratidis
Keyword(s):  
Remote Sensing ◽  
Distance Education ◽  
Disaster Management ◽  
Working Group ◽  
Earth Observation ◽  
Joint Effort ◽  
Geological Disasters ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Earth Observation Satellites

The purpose of this paper is to present the framework, content, outcomes and the lessons learnt from the 2015 Committee on Earth Observation Satellites (CEOS) course on geological disasters management, delivered within the 2015 CEOS Distance Education Course entitled “Remote Sensing Technology for Disaster Management” - a joint effort by CEOS Agencies, in particular of the Working Group on Capacity Building & Data Democracy (WGCapD) and the Working Group on Disasters (WGDisasters).

scholarly journals Editorial for Special Issue “UAV Photogrammetry and Remote Sensing”

2021 ◽  
Vol 13 (12) ◽  
pp. 2327
Author(s):  
Fernando Carvajal-Ramírez ◽  
Francisco Agüera-Vega ◽  
Patricio Martínez-Carricondo
Keyword(s):  
Remote Sensing ◽  
Earth Observation ◽  
Special Issue ◽  
Earth Observation Satellites

The concept of Remote Sensing as a way of capturing information from an object without making contact with it has, until recently, been exclusively focused on the use of earth observation satellites [...]

ANALISIS KESESUAIAN LAHAN DAN EVALUASI JENIS TANAH DALAM BUDIDAYA TANAMAN TEBU UNTUK PENGEMBANGAN DAERAH KABUPATEN TEGAL

2013 ◽  
Vol 13 (2) ◽  
Author(s):  
Daru Mulyono
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Spatial Analysis ◽  
Geographical Information System ◽  
Plant Productivity ◽  
Saccharum Officinarum ◽  
Geographical Information ◽  
Sugarcane Plant ◽  
Plant Cultivation ◽  
Suitability Map

The objectives of the research were to make land suitability map for sugarcane plant (Saccharum officinarum), to give recommendation of location including area for sugarcane plant cultivation and to increase sugarcane plant productivity. The research used maps overlay and Geographical Information System (GIS) which used Arch-View Spatial Analysis version 2,0 A in Remote Sensing Laboratory, Agency for the Assessment and Application of Technology (BPPT), Jakarta. The research was carried out in Tegal Regency starting from June to October 2004.The results of the research showed that the suitable, conditionally suitable, and not suitable land for sugarcane cultivation in Tegal Regency reached to a high of 20,227 ha, 144 ha, and 81,599 ha respectively. There were six most dominant kind of soil: alluvial (32,735 ha), grumosol 5,760 ha), mediteran (17,067 ha), latosol   (18,595 ha), glei humus (596 ha), and regosol (22,721 ha).

Sign in / Sign up

Export Citation Format

Share Document