Dr. Alfonso Calera Profile

Dr. Alfonso Calera

Professor at IDR-UCLM

SPIE Involvement:

Author

Proceedings Article | 21 October 2019 Presentation + Paper

Determining crop phenology for different varieties of barley and wheat on intensive plots using proximal remote sensing

J. González-Piqueras, F. Jara, H. López, J. Villodre, D. Hernández, A. Calera, R. López-Urrea, J. Sánchez

Proceedings Volume 11149, 111490H (2019) https://doi.org/10.1117/12.2533091

KEYWORDS: Agriculture, Remote sensing, Vegetation, Environmental management, Statistical analysis, Meteorology, Genetics, Humidity, Climatology, Sensors

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Crop phenology is a key parameter for precision farming and necessary in crop models for improving water and nutrients management in space and time. It has been traditionally determined at field, with observations of biophysical parameters in correspondence with different time-scales, but depending on plot size, it is not full representative of the variability inside it and of the variation between plots. Remote sensing techniques may increase the accessibility of high frequency spatialized data that in combination with meteorological information provide a tool for monitoring crops. Particularly, an important variety of sensors suited for agricultural applications on board of unmanned aerial systems, including spectral bands coherent with satellites and field radiometry, are being applied to describe within plot variability. With this purpose, an experiment along the year 2017 has been designed, to study the behavior of more than forty varieties of barley and wheat in an intensive experiment composed of 576 micro-plots of 1.4 × 10 m size. They have been monitored at field, registering the phenology in the BBCH scale and a complete set of soil and plant biophysical parameters in coincidence to sixteen multispectral very high-resolution images, using the number of days after sowing (NADS), the accumulated growing degree days (AGDD) and accumulated reference evapotranspiration (AcETo) as temporal scales, for studying the spatio-temporal distribution response of crop. The images were supplied with a parrot sequoia® multispectral camera, at a ground sample distance of 10 cm which allow to determine the variability into the micro-plots and obtaining representative results between them. The meteorological parameters were registered in a weather station close to the experimental area. The results show that the vegetation index in combination to the growing degree days scale or the accumulate reference evapotranspiration can set the emerging, flowering and maturity stages that are crucial inputs for management and crop models. AGDD and AcETo show a better-defined plateau between flag leave and early maturity. The ratio between the TNDVI along the reproductive phase (from BBCH = 55 to 89) and the growing cycle for barley show values of 0.31 ± 0.05 in NADS, 0.45 ± 0.03 in AGDD and 0.48 ± 0.03 in AcETo. For durum wheat the 0.32 ± 0.05 (NADS), 0.46 ± 0.03 (AGDD) and 0.49 ± 0.05 (AcETo). In case of bread wheat, the values are 0.27 ± 0.03 (NADS), 0.53 ± 0.06 (AGDD) and 0.54 ± 0.05 (AcETo). These results show that proximal remote sensing is very useful in intensive experiments as prospective techniques to explore new crop varieties that could be implanted in the experimental area and setting up the tools for satellite applications.

Proceedings Article | 27 June 2019 Paper

Ground LST measurements in the Barrax test site for the assessment of the SBAC atmospheric correction technique applied to Landsat 8-TIRS

Joan Galve, Juan Sánchez, Julio Villodre, José González-Piqueras, César Coll, Alfonso Calera

Proceedings Volume 11174, 1117411 (2019) https://doi.org/10.1117/12.2533444

KEYWORDS: Atmospheric corrections, Earth observing sensors, Landsat, Temperature metrology, Radiometry, Atmospheric modeling, Satellites, Sensors

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Proceedings Article | 27 June 2019 Paper

Downscaling MODIS land surface temperature to Sentinel-2 spatial resolution in the Barrax test site

Juan Sánchez, Joan Galve, José González-Piqueras, Ramón López-Urrea, Raquel Niclòs, Alfonso Calera

Proceedings Volume 11174, 1117410 (2019) https://doi.org/10.1117/12.2533442

KEYWORDS: Spatial resolution, MODIS, Earth observing sensors, Landsat, Radiometry, Thermography, Infrared radiation, Satellites, Agriculture

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SPIE Journal Paper | 28 April 2018

Use of different temporal scales to monitor phenology and its relationship with temporal evolution of normalized difference vegetation index in wheat

Laura González-Gómez, Isidro Campos, Alfonso Calera

JARS, Vol. 12, Issue 02, 026010, (April 2018) https://doi.org/10.1117/12.10.1117/1.JRS.12.026010

KEYWORDS: Vegetation, Meteorology, Remote sensing, Statistical analysis, Biological research, Satellites, Satellite imaging, Earth observing sensors, Climatology, Humidity

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SPIE Journal Paper | 25 August 2014

Analyzing the effect of shadow on the relationship between ground cover and vegetation indices by using spectral mixture and radiative transfer models

Isidro Campos, Christopher Neale, Maria-Llanos López, Claudio Balbontín, Alfonso Calera

JARS, Vol. 8, Issue 01, 083562, (August 2014) https://doi.org/10.1117/12.10.1117/1.JRS.8.083562

KEYWORDS: Reflectivity, Vegetation, Landsat, Near infrared, Data modeling, Sun, Satellites, Soil science, Radiative transfer, Earth observing sensors

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Proceedings Article | 23 October 2012 Paper

Evapotranspiration monitoring in a vineyard using satellite-based thermal remote sensing

M. P. González-Dugo, J. González-Piqueras, I. Campos, A. Andréu, C. Balbontín, A. Calera

Proceedings Volume 8531, 85310N (2012) https://doi.org/10.1117/12.974731

KEYWORDS: Data modeling, Satellites, Radon, Temperature metrology, Vegetation, Performance modeling, Thermal remote sensing, Earth observing sensors, Heat flux, Landsat

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Proceedings Article | 18 September 2009 Paper

Earth observation products for operational irrigation management: the PLEIADeS project

G. D'Urso, F. Vuolo, K. Richter, A. Calera Belmonte, M. A. Osann

Proceedings Volume 7472, 74720D (2009) https://doi.org/10.1117/12.830072

KEYWORDS: Agriculture, Vegetation, Data modeling, Sensors, Reflectivity, Satellites, Climatology, Soil science, Calibration, Earth observing sensors

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Proceedings Article | 17 October 2006 Paper

Operational tools for irrigation water management based on Earth observation: the DEMETER project

Alfonso Calera, M. Anna Osann Jochum

Proceedings Volume 6359, 63590U (2006) https://doi.org/10.1117/12.695436

KEYWORDS: Satellites, Image quality, Landsat, Image segmentation, Satellite imaging, Earth observing sensors, Image processing, Geographic information systems, Printed circuit board testing, Space operations

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Proceedings Article | 26 October 2004 Paper

Space-assisted irrigation management: an operational perspective

Alfonso Calera Belmonte, Anne Jochum, Andres Cuesta Garcia

Proceedings Volume 5568, (2004) https://doi.org/10.1117/12.565656

KEYWORDS: Satellites, Information technology, Agriculture, Earth observing sensors, Spatial resolution, Near infrared, Remote sensing, Short wave infrared radiation, Landsat, Internet

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Proceedings Article | 24 February 2004 Paper

Intersatellite cross-calibration: integration of reflectance and NDVI from different satellites by means of a linear model

Cecilia Martinez Beltran, Alfonso Calera, Anne Jochum

Proceedings Volume 5232, (2004) https://doi.org/10.1117/12.511142

KEYWORDS: Sensors, Landsat, Reflectivity, Vegetation, Satellites, Spatial resolution, Promethium, Near infrared, Image sensors, Earth observing sensors

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Proceedings Article | 24 February 2004 Paper

Estimation of crop coefficients by means of optimized vegetation indices for corn

Jose Gonzalez-Piqueras, Alfonso Calera, Maria Gilabert, Andres Cuesta, Fernando De la Cruz Tercero

Proceedings Volume 5232, (2004) https://doi.org/10.1117/12.511317

KEYWORDS: Vegetation, Near infrared, Reflectivity, Humidity, Remote sensing, Agriculture, Soil science, Meteorology, Thermodynamics, Physics

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Proceedings Article | 24 February 2004 Paper

Validation of an operational model of direct recharge and evapotranspiration

Eva Rubio, Miguel Mejuto, Alfonso Calera, Alicia Vela, Santiago Castano, Agueda Moratalla

Proceedings Volume 5232, (2004) https://doi.org/10.1117/12.511245

KEYWORDS: Data modeling, Soil science, Atmospheric modeling, Remote sensing, Synthetic aperture radar, Agriculture, Lanthanum, Meteorology, Geographic information systems, Performance modeling

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Proceedings Article | 11 December 1998 Paper

Application of remote sensing techniques to the evaluation of water consumption

Alicia Vela Mayorga, Alfonso Belmonte, Miguel Mejuto, Santiago Castano, Jose-Reyes Gallardo

Proceedings Volume 3499, (1998) https://doi.org/10.1117/12.332782

KEYWORDS: Remote sensing, Geographic information systems, Agriculture, Landsat, Image classification, Data integration, Earth observing sensors

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Showing 5 of 13 publications

SPIE Conference Volume | 24 February 2004

Remote Sensing for Agriculture, Ecosystems, and Hydrology V

Conference Committee Involvement (1)

Remote Sensing for Agriculture, Ecosystems, and Hydrology V

8 September 2003 | Barcelona, Spain

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