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SCATSAT-1 Scatterometer Data Processing


Affiliations
1 Space Applications Centre, ISRO, Ahmedabad 380 015, India
2 National Remote Sensing Centre, ISRO, Hyderabad 500 625, India
 

SCATSAT-1 carries a Ku-band scatterometer with a scanning pencil beam configuration. It deploys two beams, a vertically polarized outer beam and a horizontally polarized inner beam, to cover a swath of 1800 km. The mission mainly caters to oceanographic applications and weather forecasting, with the data being extensively used for cyclogenesis predictions across the globe and specifically, the tropical region. Since the launch of SCATSAT-1 in September 2016, the satellite and payload performances as well as mission and ground segment operations have been found to be nominal and satisfactory. This article highlights various levels of operational data products as well as algorithms used for deriving radar backscatter and retrieving wind vector data from scatterometer measurements.

Keywords

Data Products, Footprint, Scatterometer, Slices, Wind Vector.
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  • SCATSAT-1 Scatterometer Data Processing

Abstract Views: 282  |  PDF Views: 72

Authors

Devang Mankad
Space Applications Centre, ISRO, Ahmedabad 380 015, India
Rajesh Sikhakolli
National Remote Sensing Centre, ISRO, Hyderabad 500 625, India
Puja Kakkar
Space Applications Centre, ISRO, Ahmedabad 380 015, India
Qamer Saquib
Space Applications Centre, ISRO, Ahmedabad 380 015, India
Krishna Murari Agrawal
Space Applications Centre, ISRO, Ahmedabad 380 015, India
Suresh Gurjar
Space Applications Centre, ISRO, Ahmedabad 380 015, India
Dinesh Kumar Jain
Space Applications Centre, ISRO, Ahmedabad 380 015, India
V. M. Ramanujam
Space Applications Centre, ISRO, Ahmedabad 380 015, India
Pradeep Thapliyal
Space Applications Centre, ISRO, Ahmedabad 380 015, India

Abstract


SCATSAT-1 carries a Ku-band scatterometer with a scanning pencil beam configuration. It deploys two beams, a vertically polarized outer beam and a horizontally polarized inner beam, to cover a swath of 1800 km. The mission mainly caters to oceanographic applications and weather forecasting, with the data being extensively used for cyclogenesis predictions across the globe and specifically, the tropical region. Since the launch of SCATSAT-1 in September 2016, the satellite and payload performances as well as mission and ground segment operations have been found to be nominal and satisfactory. This article highlights various levels of operational data products as well as algorithms used for deriving radar backscatter and retrieving wind vector data from scatterometer measurements.

Keywords


Data Products, Footprint, Scatterometer, Slices, Wind Vector.

References





DOI: https://doi.org/10.18520/cs%2Fv117%2Fi6%2F950-958