Average annual and seasonal Land Surface Temperature, Spanish Peninsular
Autor: | Khorchani, Makki, Martin-Hernandez, Natalia, Vicente-Serrano, Sergio M., Azorin-Molina, Cesar, Garcia, Monica, Domínguez-Duran, Mª Angeles, Reig, Fergus, Peña-Gallardo, Marina, Domínguez-Castro, Fernando, 0000-0001-9379-7052 |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
lcsh:Maps
010504 meteorology & atmospheric sciences Land surface temperature Geography Planning and Development 0211 other engineering and technologies 02 engineering and technology maximum air temperature 01 natural sciences NOAA-AVHRR Work (electrical) lcsh:G3180-9980 Climatology Earth and Planetary Sciences (miscellaneous) regression-based interpolation Environmental science Maximum air temperature Regression-based interpolation Land Surface Temperature 021101 geological & geomatics engineering 0105 earth and related environmental sciences |
Zdroj: | Journal of Maps, Vol 14, Iss 2, Pp 465-475 (2018) RIUR. Repositorio Institucional de la Universidad de La Rioja instname Khorchani, M, Martin-Hernandez, N, Vicente-Serrano, S M, Azorin-Molina, C, Garcia, M, Domínguez-Duran, M A, Reig, F, Peña-Gallardo, M & Domínguez-Castro, F 2018, ' Average annual and seasonal Land Surface Temperature, Spanish Peninsular ', Journal of Maps, vol. 14, no. 2, pp. 465-475 . https://doi.org/10.1080/17445647.2018.1500316 |
ISSN: | 1744-5647 |
DOI: | 10.1080/17445647.2018.1500316 |
Popis: | The first long-term Land Surface Temperature (LST) maps for the Peninsular Spain at annual and seasonal time scales for 1981–2015 is presented in this work. A robust protocol for correcting and calibrating NOAA-AVHRR images and computing LST datasets at the spatial resolution of 1.1 km has been used. Simultaneously, maximum air temperature (Tmax) maps at the same spatial resolution have been produced using data from meteorological stations. The comparison between the two datasets resulted in statistically significant spatial correlations at annual and seasonal scales. Finally, the Normalized Difference Vegetation Index (NDVI) data were also compared with the obtained LST datasets and the results showed significant negative correlations between the two variables, especially in summer. |
Databáze: | OpenAIRE |
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