2001
DOI: 10.1080/01431160050505900
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Land surface air temperature mapping using TOVS and AVHRR

Abstract: Surface air temperature is an important variable in land surface hydrological studies. This paper evaluates the ability of satellites to map air temperature across large land surface areas. Algorithms recently have been developed that derive surface air temperature using observations from the TOVS (TIROS Operational Vertical Sounder) suite of instruments and also from the AVHRR (Advanced Very High Resolution Radiometer), which have own on the NOAA operational sun synchronous satellites TIROS-N NOAA-14. In this… Show more

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Cited by 53 publications
(33 citation statements)
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“…Czajkowski et al (1997b) used a value of 0.7 for the BOREAS site in central Canada using top of atmosphere AVHRR data and 0.65 applied to the Oklahoma Mesonet site (Czajkowski et al, 2000). Lakshmi et al (2001) estimated NDVI max = 0.7 for the Red-Arkansas River basin using a radiation model simulating AVHRR data. Using the TVX relation (Price, 1990), estimated vegetation temperatures from AVHRR data by assuming NDVI max = 0.65.…”
Section: Application Of Tvx and Methodology Constraintsmentioning
confidence: 99%
“…Czajkowski et al (1997b) used a value of 0.7 for the BOREAS site in central Canada using top of atmosphere AVHRR data and 0.65 applied to the Oklahoma Mesonet site (Czajkowski et al, 2000). Lakshmi et al (2001) estimated NDVI max = 0.7 for the Red-Arkansas River basin using a radiation model simulating AVHRR data. Using the TVX relation (Price, 1990), estimated vegetation temperatures from AVHRR data by assuming NDVI max = 0.65.…”
Section: Application Of Tvx and Methodology Constraintsmentioning
confidence: 99%
“…The method known as the temperature-vegetation index method (TVX) can be described as a representative, which has been applied widely to estimate near surface air temperature (T a ) from several satellite sensors [35][36][37][38][39][40]. According to this method, remotely sensed T s tends to approach air temperature with increasing Remote Sens.…”
Section: Disadvantagesmentioning
confidence: 99%
“…In contrast, satellite remote sensing provides ways to estimate LST at dense spatial sampling intervals and large scales. Various methods for estimating LST from remote sensing data have been extensively implemented since the 1990s [7][8][9][10][11][12][13][14][15]. Among them, most can be classified into two main methods.…”
Section: Introductionmentioning
confidence: 99%