Evaluación de datos de humedad del suelo de fuentes gratuitas satelitales de baja resolución para una zona agrícola del centro de Argentina
| Autor: | Federico Carballo, Stella Maris Zabala, Hector Salgado |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
010504 meteorology & atmospheric sciences
C band 0211 other engineering and technologies Weather forecasting 02 engineering and technology computer.software_genre 01 natural sciences Dielectric measurement Satellite data Environmental science Satellite Microwave radiometry computer 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | 2016 IEEE Biennial Congress of Argentina (ARGENCON). |
| Popis: | Currently, there are available, free of charge, surface soil moisture derived from satellite data from different sources, with a daily frequency and spatial resolution of about 25km. This information is valuable for studies, planning, hydrological and meteorological forecast, climate, and agricultural production, in regional and global scale. In the case of weather forecasting (by short-term models) the soil moisture (SM) data significantly influences. The aim of this work is to detect and quantify differences between different satellite products, each other, and with respect to field measurements. In a pilot area, in the center of the Bs. As. Province, SM was measured in 2013 at one dielectric probes, for the first 10cm of the upper soil. The tested satellite products come from AMSR2 system (processed with 2 JAXA and LPRM algorithms and with X and C bands), ASCAT, SMOS and Aquarius. Correlation analyzes indicate that the best linear fit (r = 0.7) with in situ measurements was achieved with the ASCAT products. In turn, considering only satellite products, the best relationships are between SMOS and Aquarius, and between SMOS and LPRM (X band), with r = 0.7 in both cases. The results are comparable with those obtained by researchers in other parts of the world, under different environmental and physiographic conditions. |
| Databáze: | OpenAIRE |
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