Dr. Miguel A. Belenguer-Plomer Profile

Dr. Miguel A. Belenguer-Plomer

at Univ de Alcalá

SPIE Involvement:

Author

Publications (5)

Proceedings Article | 8 October 2019 Presentation + Paper

Evaluation of backscatter coefficient temporal indices for burned area mapping

Miguel Belenguer-Plomer, Emilio Chuvieco, Mihai Tanase

Proceedings Volume 11154, 111540D (2019) https://doi.org/10.1117/12.2532832

KEYWORDS: Backscatter, Synthetic aperture radar, Soil science, Environmental sensing, Climatology, Associative arrays, Remote sensing, Algorithm development, Earth observing sensors, Landsat

Read Abstract +

Proceedings Article | 9 October 2018 Paper

Effects of sample size on burned areas accuracy estimates in the Amazon Basin

A. Fernandez-Carrillo, M. Belenguer-Plomer, E. Chuvieco, M. Tanase

Proceedings Volume 10790, 107901S (2018) https://doi.org/10.1117/12.2325686

KEYWORDS: Earth observing sensors, Landsat, MODIS, Error analysis, Accuracy assessment, Spatial resolution, Statistical analysis, Sensors, Satellites, Climatology

Read Abstract +

Remote sensing-derived maps contain errors. The magnitude of such errors is evaluated through accuracy assessment based on sub-sampling the total ‘population’ (i.e. map). Several strategies have been proposed to define the optimal sampling design leading to a statistically robust accuracy assessment. In this work, a stratified random sampling approach as proposed by Padilla et al.¹ was applied to validate two burned area (BA) products as part of the ESA’s Firecci project: a SAR-based product generated from S1 data and the MODIS MCD64. The sampling design considers sample allocation as a function of burned area proportion inside each biome. In our study the sampling size was computed as suggested by Olofsson et al.². The objective of this study was to assess to which extent a reduction in the sampling size influences the accuracy metrics. The validation was carried out for BA detected from Sentinel-1 as well as a MODIS based-product, the MCD64, generated for the year 2017 in the Amazon region (8M km2). The reference BA dataset was generated using optical time-series acquired by the Landsat-7 ETM+, Landsat-8 OLI, and Sentinel-2 MSI sensors. The BA products were validated three times: i) over n = 44 sample units (as computed from Olofsson et al.²; ii) considering a sample size of n/2, and iii) considering a sample size of n/4, to test the sensitivity of the accuracy assessment to changes in the sample size over the tropics.

The results showed that halving the sample size while maintaining the stratified allocation method, yielded similar results when compared to the original sample size (differences in OE and CE did not exceed 5% in any of the products, while differences in DC did not exceed 2%). For a sample size of n/4, the validation results were more unstable (differences in DC reached up to 9% and confidence intervals were higher). The results provide evidence for the optimal sampling size for the accuracy assessment of different BA products over the Amazon basin.

Proceedings Article | 9 October 2018 Presentation + Paper

Insights into burned areas detection from Sentinel-1 data and locally adaptive algorithms

Miguel Belenguer-Plomer, Mihai Tanase, Angel Fernandez-Carrillo, Emilio Chuvieco

Proceedings Volume 10788, 107880G (2018) https://doi.org/10.1117/12.2325672

KEYWORDS: Backscatter, Polarization, Detection and tracking algorithms, Synthetic aperture radar, Vegetation, Sensors, Scattering, Radar, Data acquisition, Radar imaging

Read Abstract +

Proceedings Article | 9 October 2018 Paper

L-band SAR sensitivity to prescribed burning effects in eucalypt forests of Western Australia

A. Fernandez-Carrillo, L. McCaw, M. Belenguer-Plomer, M. Tanase

Proceedings Volume 10788, 107880U (2018) https://doi.org/10.1117/12.2325669

KEYWORDS: Synthetic aperture radar, Polarization, Combustion, Radar, Backscatter, L band, Vegetation, Calibration, Soil science, Data acquisition

Read Abstract +

Proceedings Article | 9 October 2018 Paper

Temporal backscattering coefficient decorrelation in burned areas

Miguel Belenguer-Plomer, Mihai Tanase, Angel Fernandez-Carrillo, Emilio Chuvieco

Proceedings Volume 10788, 107880T (2018) https://doi.org/10.1117/12.2325650

KEYWORDS: Backscatter, Polarization, Synthetic aperture radar, Data acquisition, Vegetation, Earth observing sensors, Landsat, Algorithm development, Satellites, Radar imaging

Read Abstract +

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years