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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).
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).
Tropical cyclone heat potential (TCHP), an important parameter for cyclone studies, is estimated on daily basis from 1998 to present with a one week time delay. The data used to estimate this parameter are (a) sea surface height anomaly (SSHA) from the available altimeters, (b) sea surface temperature (SST) from Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) and the climatological values of the depth of the 26oC isotherm (D26). The procedure documented by Ali et al. (2012: IEEE GRSL) is followed in the estimation of TCHP.
Vegetation Fraction (VF) is defined as the percentage or fraction of occupation of vegetation canopy in a given ground area in vertical projection. It is popularly treated as a comprehensive quantitative index in forest management and vegetation communities to monitor respective land cover conditions. This data 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 Vegetation Fraction data of user selected aeras.
The Normalized Difference Vegetation Index (NDVI) is a numerical indicator that uses the visible and near-infrared bands of the electromagnetic spectrum, and is adopted to analyze remote sensing measurements and assess whether the target being observed contains live green vegetation or not. NDVI has found a wide application in vegetative studies as it has been used to estimate crop yields, pasture performance, and rangeland carrying capacities among others.
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