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National Remote Sensing Centre

Get data of Bhuvan Applications, Hyper spectral Images from Remote Sensing Satellite IMS-1, The Advanced Wide Field Sensor (AWiFS): Indian Remote Sensing Satellite Resourcesat-2, Ocean Wind Velocity, Ocean Wind Stress Curl, Ocean Wind Stress, Water Bodies Fraction, Model Derived Tropical Cyclone Heat Potential, Model Derived Depth of 26°C Isotherm, Ocean Heat Content, Tropical Cyclone Heat Potential, Albedo derived from Oceansat-2 Ocean Color Monitor (OCM), Vegetation Fraction derived from Oceansat-2 Ocean Color Monitor (OCM), Normalized Difference Vegetation Index (NDVI) derived from Ocean

Get Bhuvan Android Apps. These Apps are available for Android-based smart phones for "Locate and track" facility and Field Data (Point of Interest) Collection.
This catalogue contains Bhuvan Applications which has been developed in collaboration with different agencies. Thus Bhuvan provides platform to create, visualize, share, and analyze Geospatial data products and services towards Spatial Mashups. Different Ministries and state governments have collaborated with Bhuvan. Some of the collaborators are Punjab Heritage & Tourism Promotion Board, Punjab Remote Sensing Centre, Ludhiana Municipal Corporation, Karnataka Forest Department, Himachal Pradesh Forest Department, Central Water Commission, India Meteorological Department.
The Advanced Wide Field Sensor (AWiFS) operates in three spectral bands in VNIR and one band in SWIR with 56 metre spatial resolution and a combined swath of 730 km achieved through two AWiFS cameras. The catalog contains the orthorectified multi-spectral AWiFS data. The ortho-rectification process is carried out for correcting Terrain relief errors, Scale variation, Sensor attitude/ orientation and Internal errors.
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.
Wind Stress Curl is the measure of the rotation of the wind stress (or ocean surface circulation). The curl of wind stress is helpful in identifying areas of cyclogenesis and their propagation. OSCAT Daily Wind Stress Curl Composites have been generated by computing the curl of wind stress field, which is estimated using DIVA generated wind field composites. These products are available on daily basis. Further details have been provided in the technical document.
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.
1. Data Identification abstract Derivation of water bodies from Resourcesat-1 / Resourcesat-2 data using automated extraction algorithm enabled quick processing of satellite data. 2. Area under Water Bodies (WB) is used to estimate Water Bodies fraction (WBF) 3. Raster layers of water bodies, water bodies fraction information derived during October, February, May months of each crop year (Jun-May) from 2004-05 to 2010-11 is provided.
Depth of 26°C isotherm (D26) in the ocean and its derivative Tropical Cyclone Heat Potential (TCHP) are useful indicators of genesis, intensification and propagation of tropical cyclones. Hence, monitoring of these two parameters and the ability for their advance prediction is quite significant. A modified one-dimensional (1-D) ocean mixed layer model is deployed to predict D26 and TCHP 12 hours and 48 hours in advance on a daily basis following the methodology presented in Swain and Krishnan (2013, NRSC-ECSA-OSG-May2013-TR-529).


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