TY  - JOUR 
AU  - Sipols, Ana E.
AU  - Valcarce Diñeiro, Rubén
AU  - Santos Martín, María Teresa
AU  - Sánchez Martín, Nilda
AU  - Simón de Blas, Clara
PY  - 2022
UR  - http://hdl.handle.net/10366/163116
AB  - [EN] This paper aims to both fit and predict crop biophysical variables with a SAR image series by performing a factorial experiment and estimating time series models using a combination of forecasts. Two plots of barley grown under rainfed conditions...
LA  - eng
PB  - MDPI
KW  - RADARSAT-2
KW  - Polarimetric SAR
KW  - Biophysical variables
KW  - Time series
KW  - Cointegration
KW  - Estadística
KW  - Teledetección
KW  - Cultivos
TI  - Time Series of Quad-Pol C-Band Synthetic Aperture Radar for the Forecasting of Crop Biophysical Variables of Barley Fields Using Statistical Techniques
DO  - 10.3390/rs14030614
T2  - Remote Sensing
VL  - 14
M2  - 614
ER  -