Subsurface Soil Moisture Estimation by VI–LST Method

Author

Holzman, M.E. ; Rivas, R. ; Bayala, M.

Author_Institution

Inst. de Hidrologia de Llanuras Dr. Eduardo Usunoff, Azul, Argentina

Volume

11

Issue

11

fYear

2014

fDate

Nov. 2014

Firstpage

1951

Lastpage

1955

Abstract

In this letter, the relationship between temperature vegetation dryness index (TVDI) from the Moderate Resolution Imaging Spectroradiometer and subsurface soil moisture (SM) over 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.

Keywords

atmospheric temperature; radiometry; soil; vegetation; Argentine Pampas; Moderate Resolution Imaging Spectroradiometer; SM measurements; TVDI high correlation; VI-LST method; crop; index potential; native grassland; physical soil characteristics; reflectance data combination; root system depth; soil depths; soil root distribution; subsurface SM; subsurface below monitoring; subsurface soil moisture estimation; subsurface soil wetness fluctuations; temperature vegetation dryness index; thermal data combination; vegetated areas; Indexes; Remote sensing; Soil; Soil measurements; Temperature measurement; Temperature sensors; Vegetation mapping; Optical–thermal; Optical??thermal; soil moisture (SM); stress index;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing Letters, IEEE

Publisher

ieee

ISSN

1545-598X

Type

jour

DOI

10.1109/LGRS.2014.2314617

Filename

6803861