The University of Southampton
University of Southampton Institutional Repository

Science impact of MODIS C5 calibration degradation and C6+ improvements

Science impact of MODIS C5 calibration degradation and C6+ improvements
Science impact of MODIS C5 calibration degradation and C6+ improvements
The Collection 6 (C6) MODIS land and atmosphere datasets are scheduled for release in 2014. C6 contains significant revisions of the calibration approach to account for sensor aging. This analysis documents the presence of systematic temporal trends in the visible and near-infrared (500 m) bands of the Collection 5 (C5) MODIS Terra, and to lesser extent, in MODIS Aqua geophysical datasets. Sensor degradation is largest in the Blue band (B3) of the MODIS sensor on Terra and decreases with wavelength. Calibration degradation causes negative global trends in multiple MODIS C5 products including the dark target algorithm's aerosol optical depth over land and Ångström Exponent over the ocean, global liquid water and ice cloud optical thickness, as well as surface reflectance and vegetation indices, including the normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI). As the C5 production will be maintained for another year in parallel with C6, one objective of this paper is to raise awareness of the calibration-related trends for the broad MODIS user community. The new C6 calibration approach removes major calibrations trends in the Level 1B (L1B) data. This paper also introduces an enhanced C6+ calibration of the MODIS dataset which includes an additional polarization correction (PC) to compensate for the increased polarization sensitivity of MODIS Terra since about 2007, as well as de-trending and Terra–Aqua cross-calibration over quasi-stable desert calibration sites. The PC algorithm, developed by the MODIS ocean biology processing group (OBPG), removes residual scan angle, mirror side and seasonal biases from aerosol and surface reflectance (SR) records along with spectral distortions of SR. Using the Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm over deserts, we have also developed a de-trending and cross-calibration method which removes residual decadal trends on the order of several tenths of one percent of the top-of-atmosphere (TOA) reflectance in the visible and near-infrared MODIS bands B1–B4, and provides a good consistency between the two MODIS sensors. MAIAC analysis over the southern USA shows that the C6+ approach removed an additional negative decadal trend of Terra ?NDVI ~ 0.01 as compared to Aqua data. This change is particularly important for analysis of vegetation dynamics and trends in the tropics, e.g., Amazon rainforest, where the morning orbit Terra provides considerably more cloud-free observations compared to the afternoon Aqua measurements.
1867-8610
7281-7319
Lyapustin, A.
d2be8398-83c0-42ba-b5af-e5d69195075e
Wang, Y.
23c775f0-3cac-44d5-9e16-2098959c493b
Xiong, X.
90b9664b-57c9-43dd-9607-d699cb183fd9
Meister, G.
8038d482-c7a0-4dd5-8d53-132a3b74a76f
Platnick, S.
b559ba5e-502c-426a-bea0-00e3eeda7c87
Levy, R.
4bf37306-1eb5-49c0-ad0c-5c05e12b559d
Franz, B.
e74ddb77-774e-42d3-87da-26bed76c5565
Korkin, S.
4cb2ce45-ad69-4dfa-80b5-316a1fd904f8
Hilker, T.
c7fb75b8-320d-49df-84ba-96c9ee523d40
Tucker, J.
124febb6-dc7f-4dab-b425-ff3e85c81593
Hall, F.
ed5bc82b-1521-4c0d-818f-776f662a7926
Sellers, P.
9d01bdc0-3bad-4434-818e-ca1d410f7fd9
Wu, A.
40de6b61-2aa3-4138-8d1d-6f24d8a8bbda
Angal, A.
20a2b94e-ae6f-4c0f-b1ad-f8b0b64a577e
Lyapustin, A.
d2be8398-83c0-42ba-b5af-e5d69195075e
Wang, Y.
23c775f0-3cac-44d5-9e16-2098959c493b
Xiong, X.
90b9664b-57c9-43dd-9607-d699cb183fd9
Meister, G.
8038d482-c7a0-4dd5-8d53-132a3b74a76f
Platnick, S.
b559ba5e-502c-426a-bea0-00e3eeda7c87
Levy, R.
4bf37306-1eb5-49c0-ad0c-5c05e12b559d
Franz, B.
e74ddb77-774e-42d3-87da-26bed76c5565
Korkin, S.
4cb2ce45-ad69-4dfa-80b5-316a1fd904f8
Hilker, T.
c7fb75b8-320d-49df-84ba-96c9ee523d40
Tucker, J.
124febb6-dc7f-4dab-b425-ff3e85c81593
Hall, F.
ed5bc82b-1521-4c0d-818f-776f662a7926
Sellers, P.
9d01bdc0-3bad-4434-818e-ca1d410f7fd9
Wu, A.
40de6b61-2aa3-4138-8d1d-6f24d8a8bbda
Angal, A.
20a2b94e-ae6f-4c0f-b1ad-f8b0b64a577e

Lyapustin, A., Wang, Y., Xiong, X., Meister, G., Platnick, S., Levy, R., Franz, B., Korkin, S., Hilker, T., Tucker, J., Hall, F., Sellers, P., Wu, A. and Angal, A. (2014) Science impact of MODIS C5 calibration degradation and C6+ improvements. Atmospheric Measurement Techniques Discussions, 7 (7), 7281-7319. (doi:10.5194/amt-7-4353-2014).

Record type: Article

Abstract

The Collection 6 (C6) MODIS land and atmosphere datasets are scheduled for release in 2014. C6 contains significant revisions of the calibration approach to account for sensor aging. This analysis documents the presence of systematic temporal trends in the visible and near-infrared (500 m) bands of the Collection 5 (C5) MODIS Terra, and to lesser extent, in MODIS Aqua geophysical datasets. Sensor degradation is largest in the Blue band (B3) of the MODIS sensor on Terra and decreases with wavelength. Calibration degradation causes negative global trends in multiple MODIS C5 products including the dark target algorithm's aerosol optical depth over land and Ångström Exponent over the ocean, global liquid water and ice cloud optical thickness, as well as surface reflectance and vegetation indices, including the normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI). As the C5 production will be maintained for another year in parallel with C6, one objective of this paper is to raise awareness of the calibration-related trends for the broad MODIS user community. The new C6 calibration approach removes major calibrations trends in the Level 1B (L1B) data. This paper also introduces an enhanced C6+ calibration of the MODIS dataset which includes an additional polarization correction (PC) to compensate for the increased polarization sensitivity of MODIS Terra since about 2007, as well as de-trending and Terra–Aqua cross-calibration over quasi-stable desert calibration sites. The PC algorithm, developed by the MODIS ocean biology processing group (OBPG), removes residual scan angle, mirror side and seasonal biases from aerosol and surface reflectance (SR) records along with spectral distortions of SR. Using the Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm over deserts, we have also developed a de-trending and cross-calibration method which removes residual decadal trends on the order of several tenths of one percent of the top-of-atmosphere (TOA) reflectance in the visible and near-infrared MODIS bands B1–B4, and provides a good consistency between the two MODIS sensors. MAIAC analysis over the southern USA shows that the C6+ approach removed an additional negative decadal trend of Terra ?NDVI ~ 0.01 as compared to Aqua data. This change is particularly important for analysis of vegetation dynamics and trends in the tropics, e.g., Amazon rainforest, where the morning orbit Terra provides considerably more cloud-free observations compared to the afternoon Aqua measurements.

Text
Scientific impact of MODIS.pdf - Version of Record
Available under License Other.
Download (6MB)

More information

Accepted/In Press date: 7 November 2014
e-pub ahead of print date: 10 December 2014
Published date: 10 December 2014
Organisations: Geography & Environment

Identifiers

Local EPrints ID: 384650
URI: http://eprints.soton.ac.uk/id/eprint/384650
ISSN: 1867-8610
PURE UUID: 2c263c17-23a9-4427-acfb-aa726020dceb

Catalogue record

Date deposited: 08 Jan 2016 15:04
Last modified: 14 Mar 2024 22:02

Export record

Altmetrics

Contributors

Author: A. Lyapustin
Author: Y. Wang
Author: X. Xiong
Author: G. Meister
Author: S. Platnick
Author: R. Levy
Author: B. Franz
Author: S. Korkin
Author: T. Hilker
Author: J. Tucker
Author: F. Hall
Author: P. Sellers
Author: A. Wu
Author: A. Angal

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×