Title
Assessment of Long-Term Sensor Radiometric Degradation Using Time Series Analysis
Abstract
The monitoring of top-of-atmosphere (TOA) reflectance time series provides useful information regarding the long-term degradation of satellite sensors. For a precise assessment of sensor degradation, the TOA reflectance time series is usually corrected for surface and atmospheric anisotropy by using bidirectional reflectance models so that the angular effects do not compromise the trend estimates. However, the models sometimes fail to correct the angular effects, particularly for spectral bands that exhibit a large seasonal oscillation due to atmospheric variability. This paper investigates the use of time series algorithms to identify both the angular effects and the atmospheric variability simultaneously in the time domain using their periodical patterns within the time series. Two nonstationary time series algorithms were tested with the Landsat 5 Thematic Mapper time series data acquired over two pseudoinvariant desert sites, the Sonoran and Libyan Deserts, to compute a precise long-term trend of the time series by removing the seasonal variability. The trending results of the time series algorithms were compared to those of the original TOA reflectance time series and those normalized by a widely used bidirectional-reflectance-distribution-function model. The time series results showed an effective removal of seasonal oscillation, caused by angular and atmospheric effects, producing trending results that have a higher statistical significance than other approaches.
Year
DOI
Venue
2014
10.1109/TGRS.2013.2268161
IEEE T. Geoscience and Remote Sensing
Keywords
Field
DocType
time series analysis,pseudoinvariant desert sites,radiometry,bidirectional reflectance distribution function model,landsat 5 thematic mapper data,remote sensing,geophysical equipment,landsat 5,seasonal oscillation,long term sensor radiometric degradation,atmospheric anisotropy,toa reflectance,atmospheric variability,surface anisotropy,bidirectional reflectance models,libyan desert,sonoran desert,vicarious calibration,angular effects,time series,calibration,satellites,earth,market research
Time domain,Time series,Thematic Mapper,Oscillation,Satellite,Normalization (statistics),Remote sensing,Radiometry,Spectral bands,Mathematics
Journal
Volume
Issue
ISSN
52
5
0196-2892
Citations 
PageRank 
References 
2
0.44
7
Authors
5
Name
Order
Citations
PageRank
Wonkook Kim1364.61
Tao He2538.30
Dongdong Wang34011.93
Changyong Cao453.59
Shunlin Liang5611116.22