Presenter : Rajesh Basoju
India has launched the INSAT-3D satellite on 26th July 2013 exclusively for meteorological purposes, having six-channel imager and nineteen-channel sounder system located at 82.0°E. The INSAT3D Land Surface Temperature(LST) product is derived using TIR1(10.3µm -11.3µm) and TIR2(11.5µm–12.5µm) channel data from INSAT-3D Imager with 4km ground resolution. LST product is generated on operational basis using INSAT-3D Imager, TIR1 and TIR2 channels on half hourly, daily, weekly and monthly time scale at IMDPS, New Delhi.
To ensure the usability of LST data of INSAT-3D on large scale, validation and analysis of the product is carried with established Land Surface Temperature MODIS Data for the period 1stJanuary 2016 to 30thJune 2016 over Indian region. In carrying out validation exercise, match up data sets of both the Land Surface Temperature is prepared by performing essential operations such as format change, sub setting, mosaic, model framing, re-projection, co-location of pixels with same resolution and scaling. Initial results Shows, a good correlation between INSAT3D and MODIS LST is 0.81 and root mean square error (RMSE) is ranges from 0.5 to 2.5K. Monthly analysis of both LST products has been also carried out for the same period. INSAT-3D LST data is capturing the trends very well.
Key words: LST, INSAT3D, MODIS, python, QGIS, CDO, Ferret