To provide the best science data quality, an accurate characterization of the response versus scan angle (RVS) function is critical for the MODIS reflective solar bands (RSB) on-orbit calibration. In every MODIS operational scan, the Earth’s surface, referred to here as Earth view (EV), the space view (SV) port, and the onboard calibrators are viewed via a twosided scan mirror. The RVS is defined as the sensor’s relative response as a function the angle of incidence (AOI) to the scan mirror. Many different approaches have been developed to derive the time-dependent RVS and its look-up table (LUT) applied to MODIS Level 1B (L1B) products since calibration Collection 4. For most MODIS RSB, the on-board calibrators can reasonably track the RVS change with time. In practice, their RVS is derived using data from on-board calibrators and the EV mirror side ratio (for mirror side 2). For Terra bands 1-4, 8-10 and Aqua bands 1-4, 8-9, an enhancement has been employed in Collections 6 and 6.1 (C6/C6.1) by using Earth scene response trending from pseudoinvariant desert sites in addition to the onboard calibrators. The current C6/C6/1 RVS algorithm is focused on fitting the EV data at each AOI over time and then deriving the relative change at different AOI. The EV response trending is currently fitted with multiple segments over time. Alternatively, the EV responses can be fit first as a function of AOI before fitting temporally in order to reduce the dependence on the stability of the desert site. These pre-treatment methods on the EV data provide improvement in the derived calibration coefficients. However, evidence of insufficient calibration is still observed in the MODIS L1B reflectance data, especially in the form of differences between the mirror sides. In this paper, we review the current methodologies that utilize the EV response trends from the pseudo-invariant Libyan desert targets to supplement the gain derived from the onboard calibrators. An improvement is then proposed and investigated such that a sliding window average (SWA) is used to pre-process the raw EV data. The SWA parameters are carefully selected using trade-off studies to accurately track the Earth scene response trending in multiple cases to overcome the reflectance differences between two mirror sides. Calibration results show improvements for both Aqua and Terra MODIS RSB L1B data products. This new adjustment has been included in the recently delivered Collection 7 LUT that will be evident in the L1B products expected to be released in late 2021.
[1]
Xiaoxiong Xiong,et al.
Prelaunch algorithm and data format for the Level 1 calibration products for the EOS-AM1 Moderate Resolution Imaging Spectroradiometer (MODIS)
,
1998,
IEEE Trans. Geosci. Remote. Sens..
[2]
Xiaoxiong Xiong,et al.
On-Orbit Calibration of Terra MODIS VIS Bands Using Polarization-Corrected Desert Observations
,
2020,
IEEE Transactions on Geoscience and Remote Sensing.
[3]
William L. Barnes,et al.
MODIS on-orbit calibration and characterization
,
2003
.
[4]
Tsuyoshi Murata,et al.
{m
,
1934,
ACML.
[5]
P. Abel,et al.
MODIS Calibration: A Brief Review of the Strategy for the At-Launch Calibration Approach
,
1996
.
[6]
M. Leroy,et al.
Selection and characterization of Saharan and Arabian desert sites for the calibration of optical satellite sensors
,
1996
.
[7]
Amit Angal,et al.
Time-Dependent Response Versus Scan Angle for MODIS Reflective Solar Bands
,
2014,
IEEE Transactions on Geoscience and Remote Sensing.
[8]
Amit Angal,et al.
Alternative method of on-orbit response-versus-scan-angle characterization for MODIS reflective solar bands
,
2016
.
[9]
Xiaoxiong Xiong,et al.
Status of Terra MODIS and Aqua MODIS
,
2002,
IEEE International Geoscience and Remote Sensing Symposium.
[10]
Xiaoxiong Xiong,et al.
Multiyear On-Orbit Calibration and Performance of Terra MODIS Reflective Solar Bands
,
2007,
IEEE Transactions on Geoscience and Remote Sensing.