Wind stress is defined as the tangential (drag) force per unit area exerted on the surface of the ocean by the adjacent layer of moving air. Wind stress is the most important forcing parameter in the upper ocean circulation. OSCAT Daily Wind Stress Composites have been generated using DIVA generated daily wind field composites. For wind stress computation, Large and Pond (1981) drag coefficients, modified by Trenberth et al. 1990, are used. These products are available on daily basis. The output products consist of zonal and meridional wind stress components. Further details have been provided in the technical document. This link takes the user to Bhuvan portal of NRSC/ISRO to facilitate download of Ocean Wind Stress data of user selected aeras.

Albedo is a key parameter that is widely used in land- surface energy balance studies, mid- to long-term weather prediction and global climate change in estigation. Surface albedo is the ratio of upwelling radiant energy relative to the down-welling irradiance incident upon a surface. This data is a value added product which is derived from Oceansat-2 OCM which operates in eight spectral bands in VNIR bands with 1Km spatial resolution and swath of 1420 kms. This link takes the user to Bhuvan portal of NRSC/ISRO to facilitate download of Albedo data of user selected aeras.

The size of the India Satellite Imagery Services market was valued at USD XXX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 17.43% during the forecast period.The satellite image services primarily include acquisition, processing, analysis, and interpretation to extract useful information. This high-resolution information obtained and captured from Earth-orbiting satellites indicates aspects pertaining to land use and development in urban areas, agriculture, natural resources, and climate change.Indian satellite image services are achieving an exponential growth rate as they meet the increasing demand of various sectors. These sat data are increasingly being used by governments for urban planning, disaster management, and border surveillance. Agriculture uses satellite data to monitor crop growth, estimate yields, and carry out precision farming, while resource exploration and environmental impact assessments are common applications of satellite imagery in the mining and energy sectors. Telecommunications and the GIS industries depend on satellite imagery to plan networks and map areas.The growth of the Indian market is due to the focus of the Indian government on space technology and its initiatives to encourage the use of satellite data. There is vast potential and promising applications of satellite imagery services in the country of India, as there has been a rising advancement in technology along with sophistication of techniques in data analysis. Recent developments include: January 2023: The Indian Space Research Organization's National Remote Sensing Center released satellite images of Joshimath, a town in Uttarakhand that is slowly sinking due to land subsidence, and the images show that a rapid subsidence of 5.4 cm was observed in a span of twelve days between December last week and January first week., June 2022: Pataa Navigations, an India-based software firm, and Indian National Space Promotion and Authorisation Centre (IN-SPACe) signed an MoU to enable access to ISRO's Geospatial Services and APIs for the creation of an addressing system during the opening of the In-Space headquarters. The company would launch an addressing revolution in India by providing access to satellite image-based digital addresses. Through this MoU, the partnership would be for the ISRO portals Bhuvan, VEDAS, and MOSDAC services.. Key drivers for this market are: Government Initiatives to Foster the Growth of Satellite Imagery Services in India, Increasing Importance on Disaster Management and Mitigation Efforts. Potential restraints include: Affordability and Accessibility might restrain the Market Growth, Limited Standardization and Interoperability. Notable trends are: Government Initiatives to Foster the Growth of Satellite Imagery Services in India.

Surface winds over oceans are required for several operational, oceanographic, atmospheric and climatological studies. OSCAT Daily Wind Composites have been generated by interpolating OSCAT level-2B wind fields using Variational Inverse Method (VIM) inbuilt in Data-Interpolating Variational Analysis (DIVA) software. These products will have their utility in daily weather and modeling activities. The output products consist of zonal and meridional wind components with their respective error fields as computed by DIVA. Further details have been provided in the technical document. This link takes the user to Bhuvan portal of NRSC/ISRO to facilitate download of Ocean Wind Velocity data of user selected aeras.