Spatio-temporal estimation of soil moisture in a tropical region using a remote sensing algorithm

Liliana Marrufo, Fernando González, Alejandro Monsiváis-Huertero, Judith Ramos

Research output: Contribution to conferencePaperResearch

1 Citation (Scopus)

Abstract

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 msis assumed as a constant value. The aim of this study is the implementation of optical-radar images into a model to estimate msin 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 msusing the Envisat image. Results provided an empirical equation that relates the mswith the backscattering coefficient. © 2011 IEEE.
Original languageAmerican English
Pages3089-3092
Number of pages4
DOIs
StatePublished - 16 Nov 2011
EventInternational Geoscience and Remote Sensing Symposium (IGARSS) -
Duration: 16 Nov 2011 → …

Conference

ConferenceInternational Geoscience and Remote Sensing Symposium (IGARSS)
Period16/11/11 → …

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tropical region
soil moisture
remote sensing
lagoon
soil air
Landsat thematic mapper
in situ measurement
soil profile
floodplain
radar
runoff
sensor
land use
water
vegetation
basin
Envisat

Cite this

Marrufo, L., González, F., Monsiváis-Huertero, A., & Ramos, J. (2011). Spatio-temporal estimation of soil moisture in a tropical region using a remote sensing algorithm. 3089-3092. Paper presented at International Geoscience and Remote Sensing Symposium (IGARSS), . https://doi.org/10.1109/IGARSS.2011.6049871
Marrufo, Liliana ; González, Fernando ; Monsiváis-Huertero, Alejandro ; Ramos, Judith. / Spatio-temporal estimation of soil moisture in a tropical region using a remote sensing algorithm. Paper presented at International Geoscience and Remote Sensing Symposium (IGARSS), .4 p.
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Marrufo, L, González, F, Monsiváis-Huertero, A & Ramos, J 2011, 'Spatio-temporal estimation of soil moisture in a tropical region using a remote sensing algorithm' Paper presented at International Geoscience and Remote Sensing Symposium (IGARSS), 16/11/11, pp. 3089-3092. https://doi.org/10.1109/IGARSS.2011.6049871

Spatio-temporal estimation of soil moisture in a tropical region using a remote sensing algorithm. / Marrufo, Liliana; González, Fernando; Monsiváis-Huertero, Alejandro; Ramos, Judith.

2011. 3089-3092 Paper presented at International Geoscience and Remote Sensing Symposium (IGARSS), .

Research output: Contribution to conferencePaperResearch

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AB - 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 msis assumed as a constant value. The aim of this study is the implementation of optical-radar images into a model to estimate msin 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 msusing the Envisat image. Results provided an empirical equation that relates the mswith the backscattering coefficient. © 2011 IEEE.

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Marrufo L, González F, Monsiváis-Huertero A, Ramos J. Spatio-temporal estimation of soil moisture in a tropical region using a remote sensing algorithm. 2011. Paper presented at International Geoscience and Remote Sensing Symposium (IGARSS), . https://doi.org/10.1109/IGARSS.2011.6049871