Subsurface soil moisture estimation by VI-LST method

Holzman, Mauro Ezequiel; Rivas, Raúl; Bayala, Martín Ignacio

Artículos de revistas

Fecha

2014-05

Registro en:

Holzman, Mauro Ezequiel; Rivas, Raúl; Bayala, Martín Ignacio; Subsurface soil moisture estimation by VI-LST method; Institute Of Electrical And Electronics Engineers; Ieee Geoscience And Remote Sensing Letters; 11; 11; 5-2014; 1951-1955

1545-598X

http://hdl.handle.net/11336/10861

http://repositorioslatinoamericanos.uchile.cl/handle/2250/1852119

Autor

Holzman, Mauro Ezequiel

Rivas, Raúl

Bayala, Martín Ignacio

Institución

Consejo Nacional de Investigaciones Científicas y Tecnológicas (Argentina)

Resumen

In this letter, the relationship between temperature vegetation dryness index (TVDI) from the Moderate Resolution Imaging Spectroradiometer and subsurface soil moisture (SM) cover crop and native grassland of the Argentine Pampas is analyzed.High correlation (R2 > 0.69) between TVDI and SM measurements was found at different soil depths. In addition, we found that the potential of this index to reflect subsurface soil wetness fluctuations depends on root system depth, root distribution in the soil, and physical soil characteristics. Results indicate that thermal and reflectance data combination could be used to monitor subsurface SM below vegetated areas.

Materias

OPTICAL–THERMAL

SOIL MOISTURE (SM)

STRESS INDEX

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