2016
DOI: 10.3390/rs8030169
|View full text |Cite
|
Sign up to set email alerts
|

New Automated Method to Develop Geometrically Corrected Time Series of Brightness Temperatures from Historical AVHRR LAC Data

Abstract: Analyzing temporal series of satellite data for regional scale studies demand high accuracy in calibration and precise geo-rectification at higher spatial resolution. The Advanced Very High Resolution Radiometer (AVHRR) sensor aboard the National Oceanic and Atmospheric Administration (NOAA) series of satellites provide daily observations for the last 30 years at a nominal resolution of 1.1 km at nadir. However, complexities due to on-board malfunctions and orbital drifts with the earlier missions hinder the u… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
14
0
1

Year Published

2016
2016
2024
2024

Publication Types

Select...
7
2

Relationship

2
7

Authors

Journals

citations
Cited by 15 publications
(16 citation statements)
references
References 40 publications
(105 reference statements)
1
14
0
1
Order By: Relevance
“…In fact, during LSWT retrieval, a potentially small performance gain using tailored SWC would likely be concealed by the combined effects of other sources of uncertainties that also increase with elevated VZA values (e.g., pixel overlapping and blurring). This result is also in agreement with the fact that retrieval methods, which do not directly account for the VZA [37,39] yield results with similar performances to studies that do [19,27].…”
Section: Discussionsupporting
confidence: 80%
“…In fact, during LSWT retrieval, a potentially small performance gain using tailored SWC would likely be concealed by the combined effects of other sources of uncertainties that also increase with elevated VZA values (e.g., pixel overlapping and blurring). This result is also in agreement with the fact that retrieval methods, which do not directly account for the VZA [37,39] yield results with similar performances to studies that do [19,27].…”
Section: Discussionsupporting
confidence: 80%
“…Despite on board thermal calibration in NOAA instruments, the calibration data were prone to solar contamination and atmospheric attenuation of the signal and satellite decays 40 . In this study, we used the geometrically corrected time series of brightness temperatures derived from dual thermal channels of AVHRR LAC data from 1986 to 2015 developed by 44 . Furthermore, we considered only those pixels acquired at a zenith angle less than 45 degrees.…”
Section: Methodsmentioning
confidence: 99%
“…In addition to 4-km GAC data, Py-GAC is capable of reading, decoding, and calibrating 1-km Local Area Coverage (LAC) data from AVHRR for climate applications. For example, Pareeth et al (2016) used PyGAC to derive geometrically corrected historical time series of brightness temperatures based on 28 years of 1-km LAC data (1986-2014) over the alpine lakes of northern Italy.…”
Section: Pytroll For Facilitating the Deri-vation Of Climate Data Recmentioning
confidence: 99%