Comparison of surface reflectance values from the USGS Landsat 5 TM climate data record (CDR) with values generated using a simple dark object subtraction (DOS) method in an Alpine watershed

H., STEPHEN and P.S., SAWYER (2014) Comparison of surface reflectance values from the USGS Landsat 5 TM climate data record (CDR) with values generated using a simple dark object subtraction (DOS) method in an Alpine watershed. In: International Conference on Advances in Bio-Informatics, Bio-Technology and Environmental Engineering - ABBE 2014, 01 - 02 June,2014, Westminster, London, UK.

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Abstract

Extraction of relevant information from remotely sensed imagery is essential for the identification of changes in the earth’s environment. Methods for converting the data collected at the sensor to surface reflectance have been under constant improvement since the beginning of the Landsat program. The time and effort needed to perform this task has recently been eliminated with the publication of the USGS Landsat CDR. This paper compares the data available from the USGS with a simple dark object subtraction method for determining surface reflectance. Our goal is to determine if the USGS data set is comparable to previous methods. We find that the USGS data set is strongly correlated with the simpler DOS method. While clear differences in absolute surface reflectance are observed in the visible and near-IR bands, the trends in the data over time are consistent. This suggests that previous trend studies using the simpler methods do not need to be revisited using the newer data. The findings also suggest that researchers no longer need to perform the labor intensive step of converting raw data to surface reflectance by making use of the USGS surface reflectance data instead.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: — Landsat, Thematic Mapper, USGS Climate Data Record, remote sensing, Alpine watershed, climate change, time series Mann-Kendall trend analysis
Depositing User: Mr. John Steve
Date Deposited: 15 May 2019 12:33
Last Modified: 15 May 2019 12:33
URI: http://publications.theired.org/id/eprint/2356

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