TY - GEN
T1 - Spatio-temporal estimation of soil moisture in a tropical region using a remote sensing algorithm
AU - Marrufo, Liliana
AU - González, Fernando
AU - Monsiváis-Huertero, Alejandro
AU - Ramos, Judith
PY - 2011
Y1 - 2011
N2 - 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.
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 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.
KW - ENVISAT
KW - MIMICS
KW - microwave remote sensing
KW - soil moisture
KW - supervised classification
UR - http://www.scopus.com/inward/record.url?scp=80955136571&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2011.6049871
DO - 10.1109/IGARSS.2011.6049871
M3 - Contribución a la conferencia
AN - SCOPUS:80955136571
SN - 9781457710056
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 3089
EP - 3092
BT - 2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings
T2 - 2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011
Y2 - 24 July 2011 through 29 July 2011
ER -