Absolute vicarious calibration of Landsat-8 OLI and Resourcesat-2 AWiFS sensors over Rann of Kutch site in Gujarat

In this work, vicarious calibration coefficients for all the four bands (green, red, NIR and SWIR) of Resourcesat-2 AWiFS sensor for four dates during Dec 2013-Nov 2014 and for seven bands (blue, green, red, NIR, SWIR1, SWIR2 and PAN) of OLI sensor onboard Landsat-8 for six dates during Dec 2013-Feb 2015 were estimated using field measured reflectance and measured atmospheric parameters during sensor image acquisition over Rann of Kutch site in Gujarat. The top of atmosphere (TOA) at-satellite radiances for all the bands were simulated using 6S radiative transfer code with field measured reflectance, synchronous atmospheric measurements and respective sensor’s spectral response functions as an input. These predicted spectral radiances were compared with the radiances from the respective sensor’s image in the respective band over the calibration site. Cross-calibration between the sensors AWiFS and OLI was also attempted using near-simultaneous same day image acquisition. Effect of spectral band adjustment factor was also studied with OLI sensor taken as reference sensor. Results show that the variation in average estimated radiance ratio for the AWiFS sensor was found to be within 10% for all the bands, whereas, for OLI sensor, the variation was found to be within 6% for all the bands except green and SWIR2 for which the variation was 8% and 11% respectively higher than the 5% uncertainty of the OLI sensor specification for TOA spectral radiance. At the 1σ level, red, NIR, SWIR1 and Panchromatic bands of OLI sensor showed close agreement between sensor-measured and vicarious TOA radiance resulting no change in calibration coefficient and hence indicating no sensor degradation. Two sets of near-simultaneous SBAFs were derived from respective ground measured target reflectance profiles and applied to the AWiFS and it was observed that overall, SBAF compensation provides a significant improvement in sensor agreement. The reduction in the difference between AWiFS and OLI measured TOA reflectance was found to be within 1% for green band and within 0.5% for Red band, whereas, maximum difference was observed for NIR band (within 3.4%) after applying SBAF correction.

[1]  B. Markham,et al.  Summary of Current Radiometric Calibration Coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI Sensors , 2009 .

[2]  Neil Flood,et al.  Continuity of Reflectance Data between Landsat-7 ETM+ and Landsat-8 OLI, for Both Top-of-Atmosphere and Surface Reflectance: A Study in the Australian Landscape , 2014, Remote. Sens..

[3]  Amit Angal,et al.  Use of EO-1 Hyperion data to calculate spectral band adjustment factors (SBAF) between the L7 ETM+ and Terra MODIS sensors , 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

[4]  Larry Leigh,et al.  The Ground-Based Absolute Radiometric Calibration of Landsat 8 OLI , 2015, Remote. Sens..

[5]  Brian L. Markham,et al.  Radiometric Cross Calibration of Landsat 8 Operational Land Imager (OLI) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+) , 2014, Remote. Sens..

[6]  K. Arai Comparison Among Cross, Onboard and Vicarious Calibrations for Terra/ASTER/VNIR , 2013 .

[7]  R. Denham,et al.  An operational radiometric calibration procedure for the Landsat sensors based on pseudo-invariant target sites , 2007 .

[8]  R. P. Prajapati,et al.  Absolute vicarious calibration of OCM2 and AWiFS sensors using a reflectance-based method over land sites in the Rann of Kutch, Gujarat , 2013 .

[9]  D. Diner,et al.  The MISR radiometric calibration process , 2007 .

[10]  John L. Barker,et al.  Impacts of spectral band difference effects on radiometric cross-calibration between satellite sensors in the solar-reflective spectral domain , 2007 .

[11]  Brian L. Markham,et al.  The landsat data continuity mission operational land imager (OLI) radiometric calibration , 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

[12]  Chengquan Huang,et al.  Cross-sensor comparisons between Landsat 5 TM and IRS-P6 AWiFS and disturbance detection using integrated Landsat and AWiFS time-series images , 2013 .

[13]  B. Markham,et al.  Forty-year calibrated record of earth-reflected radiance from Landsat: A review , 2012 .

[14]  Mehul R. Pandya,et al.  Development of a scheme for atmospheric correction of Resourcesat-2 AWiFS data , 2015, Int. J. Appl. Earth Obs. Geoinformation.

[15]  Amit Angal,et al.  Impact of Terra MODIS Collection 6 on long-term trending comparisons with Landsat 7 ETM+ reflective solar bands , 2013 .

[16]  A. S. Kirankumar,et al.  Quantification and comparison of spectral characteristics of sensors on board Resourcesat-1 and Resourcesat-2 satellites , 2013 .

[17]  David J. Diner,et al.  Early validation of the Multi-angle Imaging SpectroRadiometer (MISR) radiometric scale , 2002, IEEE Trans. Geosci. Remote. Sens..

[18]  Kurtis J. Thome,et al.  The absolute radiometric calibration of the Landsat 8 Operational Land Imager using the reflectance-based approach and the Radiometric Calibration Test Site (RadCaTS) , 2014, Optics & Photonics - Optical Engineering + Applications.

[19]  Lawrence Ong,et al.  Landsat-8 Operational Land Imager Radiometric Calibration and Stability , 2014, Remote. Sens..

[20]  K. Thome Absolute radiometric calibration of Landsat 7 ETM+ using the reflectance-based method , 2001 .

[21]  P. Slater,et al.  Uncertainties in the in-flight calibration of sensors with reference to measured ground sites in the 0.4-1.1 μm range , 1994 .

[22]  Julia A. Barsi,et al.  The next Landsat satellite: The Landsat Data Continuity Mission , 2012 .

[23]  G. Chander,et al.  Complementarity of ResourceSat-1 AWiFS and Landsat TM/ETM+ sensors , 2012 .