| Author | dc.contributor.author | Vera, Leonardo | |
| Author | dc.contributor.author | Parra, Juan C. | es_CL |
| Author | dc.contributor.author | Morales Salinas, Luis | es_CL |
| Author | dc.contributor.author | Mattar Bader, Cristián | es_CL |
| Author | dc.contributor.author | Jorquera Fontena, Emilio | es_CL |
| Admission date | dc.date.accessioned | 2010-07-27T20:24:05Z | |
| Available date | dc.date.available | 2010-07-27T20:24:05Z | |
| Publication date | dc.date.issued | 2010 | |
| Cita de ítem | dc.identifier.citation | R.C. Suelo Nutr. Veg. 10(1): 35 - 39 (2010) | en_US |
| Identifier | dc.identifier.uri | https://repositorio.uchile.cl/handle/2250/120174 | |
| Abstract | dc.description.abstract | The ability to estimate soil temperature (Ts) from satellite information is highly useful,
since this is one of the main input variables in various models designed for estimating
biophysical parameters. A comparative analysis is made of various Split-Window
algorithms used to estimate soil temperature from data provided by the Advanced Very
High Resolution Radiometer (AVHRR) sensor on board of satellites of the National
Oceanic and Atmospheric Administration (NOAA). The algorithms compared are those
proposed by: Prata and Platt (1991); Uliveri et al. (1992); Sobrino et al. (1993);
Caselles et al. (1997); Sobrino and Raissouni (2000). The temperature estimates were
validated with data of the soil temperature in situ recorded in a data logger installed in a
meteorological station belonging to La Araucanía Region, Chile. The results showed
that the algorithm proposed by Sobrino and Raissouni (2000) come the closest to the in
situ data. However, there are no statistically significant differences between the
different algorithms evaluated. | en_US |
| Patrocinador | dc.description.sponsorship | The principal author thanks MECE FRO
Project 0309 of the La Frontera University,
Chile, and grant Folio 24071079 of the
CONICYT, for their support in carrying out
this research. J.C. Parra and L. Morales are
grateful for the financial support given for
the project DI08-0029 of the La Frontera
University. | en_US |
| Lenguage | dc.language.iso | en | en_US |
| Keywords | dc.subject | AVHRR-NOAA Sensor | en_US |
| Título | dc.title | COMPARATIVE ANALYSIS OF SPLIT-WINDOW ALGORITHMS FOR ESTIMATING SOIL TEMPERATURE | en_US |
| Document type | dc.type | Artículo de revista | |
