ROSA (Radio Occultation Sounder of Atmosphere) is a space instrument which uses the Radio Occultation Technique
to provide highly accurate measurements of the atmospheric refractive indexes from which it is possible to derive,
atmospheric vertical profiles of temperature, pressure and humidity, as well as profiles of electron content in the
ionosphere. The measurements, generally, are made by using meteorological balloons, able to give a very detailed
atmospheric profiles but only on a local scale. From the space, ROSA, flying on a LEO orbit, is able to perform more
than 500 atmospheric profiles per day on a global scale,
The ROSA instrument is the core of a scientific program, of the same name, promoted by the Italian Space Agency
(ASI) to contribute to a better understanding of Climate Change. This program foresees the installation of the
ROSA instruments on several space missions and the developments of an ad hoc Ground Segment for the acquisition
and processing of the data.
The ISRO (Indian Space Research Organization) mission OCEANSAT-2 will be the first mission that will embark
ROSA. OCEANSAT-2 is an operative mission for the study of the Ocean that will be launched next July 2007.
The Indian Space Research Organisation (ISRO) has established an operational Remote sensing satellite system by
launching its first satellite, IRS-1A in 1988, followed by a series of IRS spacecraft. The IRS-1C/1D satellites with their
unique combination of Payloads have taken a lead position in the Global remote sensing scenario. Realising the growing
User demands for the "Multi" level approach in terms of Spatial, Spectral, Temporal and Radiometric resolutions, ISRO
identified the Resourcesat as a continuity as well as improved RS Satellite. The Resourcesat-1 (IRS-P6) was launched in
October 2003 using PSLV launch vehicle and it is in operational service. Resourcesat-2 is its follow-on Mission
scheduled for launch in 2008. Each Resourcesat satellite carries three Electro-optical cameras as its payload - LISS-3,
LISS-4 and AWIFS. All the three are multi-spectral push-broom scanners with linear array CCDs as Detectors. LISS-3
and AWIFS operate in four identical spectral bands in the VIS-NIR-SWIR range while LISS-4 is a high resolution
camera with three spectral bands in VIS-NIR range. In order to meet the stringent requirements of band-to-band
registration and platform stability, several improvements have been incorporated in the mainframe Bus configuration like
wide field Star trackers, precision Gyroscopes, on-board GPS receiver etc,. The Resourcesat data finds its application in
several areas like agricultural crop discrimination and monitoring, crop acreage/yield estimation, precision farming,
water resources, forest mapping, Rural infrastructure development, disaster management etc,. to name a few. A brief
description of the Payload cameras, spacecraft bus elements and operational modes and few applications are presented.
Monitoring of the Geo-physical and Bio-geo-physical parameters of the global oceans at meso-scales is an important
aspect of the Space borne Earth Remote sensing for weather forecasting and climatic studies. ISRO has initiated action in
this direction by launching the IRS-P4 satellite in May 1999 which carried two instruments, an Ocean Colour Monitor
(OCM) and a Multi-frequency Scanning Microwave Radiometer (MSMR). These payloads provided valuable data over
Indian ocean with limited global coverage for many applications like PFZ, SST, water vapour content, monsoon
forecasting etc,. The Oceansat-2 Mission will provide continuity of services of IRS-P4 with enhanced application
potential. It will carry a Ku-Band pencil beam Scatterometer for global wind vector measurements and OCM with
optimized spectral characteristics. The Satellite is configured to support these Payloads operation covering the global
oceans with a two-day repetevity. While meeting the continued demand of its present data users, the OCM will have
several enhanced applications in the areas of Chlorophyll concentration and primary productivity, suspended
sedimentation dynamics, Carbon cycle monitoring, marine pollutants/oil slicks etc,. The Ku-band Scatterometer will
cover ~ 97% of the global oceans daily and will provide measurements of surface wind vectors. This data will be a
major input for the local weather forecasting and NWP models. The Scatterometer data is also used for sea state
forecasting and ocean dynamics, monitoring of extreme events like cyclones/hurricanes, Polar Ice studies etc,. In this
paper, a brief description of the Payload Instruments, Satellite Mainframe elements, Mission operations plan and typical
applications are covered.
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