INVESTIGADORES
GRINGS Francisco Matias
artículos
Título:
Rationale Behind an Optimal Field Experiment to Assess the Suitability of Soil Moisture Retrieval Algorithms for SAR Data
Autor/es:
MATIAS BARBER; FRANCISCO MATIAS GRINGS; CINTIA BRUSCANTINI; HAYDEE KARSZENBAUM
Revista:
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
Editorial:
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Referencias:
Lugar: New York; Año: 2014
ISSN:
1545-598X
Resumen:
Validation of soil moisture products derived from
SAR remotely-sensed observations involves a comparison against
ground-truth data. This validation step helps to state the performance
of competing retrieval algorithms. Nevertheless, the
design of a field experiment in the context of SAR retrieval is
not straightforward. Ground-based measurements are affected
by instrument errors due to both the physical limitations of
the measurement technique and the uncertainties related to the
spatial variability of the soil moisture. To properly assess the
performance of the retrieved estimates both of the mentioned
sources of uncertainties should be considered in the groundbased
sampling and in the subsequent error assessment analysis.
This paper addresses the rationale behind an optimal field
experiment designed to assess the suitability of soil moisture
retrieval algorithms.