Artículo

Subsurface soil moisture estimation by VI-LST method

Holzman, Mauro EzequielIcon ; Rivas, Raúl; Bayala, Martín Ignacio
Fecha de publicación: 05/2014
Editorial: Institute Of Electrical And Electronics Engineers
Revista: Ieee Geoscience And Remote Sensing Letters
ISSN: 1545-598X
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:

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.
Palabras clave: Optical–Thermal , Soil Moisture (Sm) , Stress Index
 
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/10861
URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6803861
DOI: https://doi.org/10.1109/LGRS.2014.2314617
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Articulos de CTRO CIENTIFICO TECNOLOGICO CONICET - TANDIL
Citación
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
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