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Título del libro: International Geoscience And Remote Sensing Symposium (igarss)
Título del capítulo: Spatio-temporal estimation of soil moisture in a tropical region using a remote sensing algorithm

Autores UNAM:
LILIANA MARRUFO VAZQUEZ; JUDITH GUADALUPE RAMOS HERNANDEZ;
Autores externos:

Idioma:

Año de publicación:
2011
Palabras clave:

Backscattering coefficients; Empirical equations; ENVISAT; Field measurement; Flood plains; In-situ measurement; Lagoon systems; Land-use analysis; LANDSAT TM; Me-xico; microwave remote sensing; MIMICS; Optical image; Remote sensing algorithms; Runoff estimation; Satellite images; Soil moisture estimation; Soil profiles; Spatio-temporal; Supervised classification; Tropical regions; Water cycle; Water movements; Backscattering; Estimation; Geodetic satellites; Geometrical optics; Lakes; Moisture determination; Remote sensing; Soil moisture; Geologic models


Resumen:

To achieve a soil moisture estimation (ms) in an accurate way is crucial to understand the water cycle response and avoid traditional runoff estimations where the ms is assumed as a constant value. The aim of this study is the implementation of optical-radar images into a model to estimate ms in the Zapotes Lagoon System in Tabasco, Mexico. The satellite images used were Landsat TM and ETM+ sensors, Envisat and also in situ measurements and MDT were available. The field measurements at the soil profile showed a clear pattern of the water movement into the basin corresponding to the lower parts of the system (lagoons). The land use analysis obtained with the optical images indicated a strong change in the floodplain due to the construction of protect barriers around the Villahermosa city losing its hydrological capacity. This allows the identification of three main covers (soil, vegetation and air) that were monitored and feed to the model (MIMICS) in order to estimate ms using the Envisat image. Results provided an empirical equation that relates the ms with the backscattering coefficient. © 2011 IEEE.


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