All Outputs (6)

Time Series of Quad-Pol C-Band Synthetic Aperture Radar for the Forecasting of Crop Biophysical Variables of Barley Fields Using Statistical Techniques (2022)
Journal Article
Sipols, A. E., Valcarce-Diñeiro, R., Santos-Martín, M. T., Sánchez, N., & de Blas, C. S. (2022). Time Series of Quad-Pol C-Band Synthetic Aperture Radar for the Forecasting of Crop Biophysical Variables of Barley Fields Using Statistical Techniques. Remote Sensing, 14(3), Article 614. https://doi.org/10.3390/rs14030614

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 in... Read More about Time Series of Quad-Pol C-Band Synthetic Aperture Radar for the Forecasting of Crop Biophysical Variables of Barley Fields Using Statistical Techniques.

Fusion of multi-temporal paz and sentinel-1 data for crop classification (2021)
Journal Article
Busquier, M., Valcarce-Diñeiro, R., Lopez-Sanchez, J. M., Plaza, J., Sánchez, N., & Arias-Pérez, B. (2021). Fusion of multi-temporal paz and sentinel-1 data for crop classification. Remote Sensing, 13(19), Article 3195. https://doi.org/10.3390/rs13193915

The accurate identification of crops is essential to help environmental sustainability and support agricultural policies. This study presents the use of a Spanish radar mission, PAZ, to classify agricultural areas with a very high spatial resolution.... Read More about Fusion of multi-temporal paz and sentinel-1 data for crop classification.

Prediction of crop biophysical variables with panel data techniques and radar remote sensing imagery (2021)
Journal Article
de Blas, C. S., Valcarce-Diñeiro, R., Sipols, A. E., Sánchez Martín, N., Arias-Pérez, B., & Santos-Martín, M. T. (2021). Prediction of crop biophysical variables with panel data techniques and radar remote sensing imagery. Biosystems Engineering, 205, 76-92. https://doi.org/10.1016/j.biosystemseng.2021.02.014

Since the late 1970s, remote sensing techniques have been proven to be suitable for characterizing and monitoring plants and crops. In particular, synthetic aperture radar (SAR) missions contribute considerably to this prediction effort. However, the... Read More about Prediction of crop biophysical variables with panel data techniques and radar remote sensing imagery.

Multi-temporal dual- and quad-polarimetric synthetic aperture radar data for crop-type mapping (2019)
Journal Article
Valcarce-Diñeiro, R., Arias-Pérez, B., Lopez-Sanchez, J. M., & Sánchez, N. (2019). Multi-temporal dual- and quad-polarimetric synthetic aperture radar data for crop-type mapping. Remote Sensing, 11(13), Article 1518. https://doi.org/10.3390/rs11131518

Land-cover monitoring is one of the core applications of remote sensing. Monitoring and mapping changes in the distribution of agricultural land covers provide a reliable source of information that helps environmental sustainability and supports agri... Read More about Multi-temporal dual- and quad-polarimetric synthetic aperture radar data for crop-type mapping.

Influence of Incidence Angle in the Correlation of C-band Polarimetric Parameters with Biophysical Variables of Rain-fed Crops (2018)
Journal Article
Valcarce-Diñeiro, R., Lopez-Sanchez, J. M., Sánchez, N., Arias-Pérez, B., & Martínez-Fernández, J. (2018). Influence of Incidence Angle in the Correlation of C-band Polarimetric Parameters with Biophysical Variables of Rain-fed Crops. Canadian Journal of Remote Sensing, 44(6), 643-659. https://doi.org/10.1080/07038992.2019.1579051

A multi-temporal field experiment was conducted within the Soil Measurement Stations Network of the University of Salamanca (REMEDHUS) in Spain in order to retrieve useful crop information. The objective of this research was to evaluate the potential... Read More about Influence of Incidence Angle in the Correlation of C-band Polarimetric Parameters with Biophysical Variables of Rain-fed Crops.

Classification of multi-temporal spectral indices for crop type mapping: A case study in Coalville, UK (2018)
Journal Article
Palchowdhuri, Y., Valcarce-Diñeiro, R., King, P., & Sanabria-Soto, M. (2018). Classification of multi-temporal spectral indices for crop type mapping: A case study in Coalville, UK. Journal of Agricultural Science, 156(1), 24-36. https://doi.org/10.1017/s0021859617000879

Remote sensing (RS) offers an efficient and reliable means to map features on Earth. Crop type mapping using RS at various temporal and spatial resolutions plays an important role spanning from environmental to economical. The main objective of the c... Read More about Classification of multi-temporal spectral indices for crop type mapping: A case study in Coalville, UK.