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· Proyecto
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ü AGUILAR,
M.A., AGUILAR, F.J., NEMMAOUI, A., FERNÁNDEZ- GARCÍA, A.J.,
2026. Improving
the greenhouse spring crop classification from Sentinel-2 time series in
Almeria (Spain). Lecture Notes in Mechanical Engineering. Advances on
Design Engineering V. 2026. https://link.springer.com/book/9783032081070.
ü NEMMAOUI, A.,
AGUILAR, F.J., FERNÁNDEZ- GARCÍA, A.J., AGUILAR, M.A., 2026. Benchmarking
artificial intelligence methods to classify greenhouse crops in Almería from
Sentinel-2 multi-temporal images: summer/autumn campaign 2016.
Lecture Notes in Mechanical Engineering. Advances on Design Engineering V.
2026. https://link.springer.com/book/9783032081070.
ü AGUILAR,
M.A., NEMMAOUI, A., SENEL, G., AGUILAR, F.J.,
2026, Large-Scale
Mapping of Plastic-Covered Greenhouses by Satellite Imagery: Existing Global
Maps. IEEE Journal of Selected Topics in Applied Earth
Observations and Remote Sensing, 2026, 19: 13791-13800. https://doi.org/10.1109/JSTARS.2026.3683452
ü SENEL, G., AGUILAR,
M.A., AGUILAR, F.J., NEMMAOUI, A., GOKSEL, C.,
2023, A
Comprehensive Benchmarking of the Available Spectral Indices Based on
Sentinel-2 for Large-Scale Mapping of Plastic-Covered Greenhouses. IEEE
Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
2023, 16: 6601-6613. https://doi.org/10.1109/JSTARS.2023.3294830
ü SENEL, G., AGUILAR,
M.A., AGUILAR, F.J., NEMMAOUI, A., GOKSEL, C.,
2023, Unraveling
Segmentation Quality of Remotely Sensed Images on Plastic-Covered
Greenhouses: A Rigorous Experimental Analysis from Supervised Evaluation
Metrics. Remote
Sensing, 2023, 15 (2), 494. https://doi.org/10.3390/rs15020494
ü AGUILAR, M.A.,
JIMÉNEZ-LAO, R., LADISA, C., AGUILAR, F.J., TARANTINO, E.,
2022, Comparison
of spectral indices extracted from Sentinel-2 images to map plastic covered
greenhouses through an object-based approach. GIScience
& Remote Sensing, 59 (1): 822-842. https://doi.org/10.1080/15481603.2022.2071057
ü AGUILAR, M.A.,
JIMÉNEZ-LAO, R., AGUILAR, F.J., 2021, Evaluation of
Object-Based Greenhouse Mapping Using WorldView-3 VNIR and SWIR Data: A Case
Study from Almería (Spain). Remote
Sensing, 2021, 13, 2133. https://doi.org/10.3390/rs13112133
ü JIMÉNEZ-LAO, R.,
AGUILAR, F.J., NEMMAOUI, A., AGUILAR, M.A., 2020, Remote Sensing of
Agricultural Greenhouses and Plastic-Mulched Farmland: An Analysis of
Worldwide Research. Remote
Sensing, 12, 2649. https://doi:10.3390/rs12162649
ü AGUILAR, M.A.,
JIMÉNEZ-LAO, R., NEMMAOUI, A., AGUILAR, F.J., KOC-SAN, D.,
TARANTINO, E., CHOURAK, M., 2020, Evaluation of the
Consistency of Simultaneously Acquired Sentinel-2 and Landsat 8 Imagery on
Plastic Covered Greenhouses. Remote
Sensing, 12 (12): 2015. https://doi.org/10.3390/rs12122015
ü NEMMAOUI, A.,
AGUILAR, M.A., AGUILAR, F.J., NOVELLI, A., GARCÍA LORCA, A.,
2018, Greenhouse
Crop Identification from Multi-Temporal Multi-Sensor Satellite Imagery Using
Object-Based Approach: A Case Study from Almería (Spain). Remote
Sensing, 10 (11): 1751. https://doi.org/10.3390/rs10111751
ü GONZÁLEZ-YEBRA, O., AGUILAR,
M.A., NEMMAOUI, A., AGUILAR, F.J., 2018, Methodological
proposal to assess plastic greenhouses land cover change from the combination
of archival aerial orthoimages and Landsat data. Biosystems
Engineering, 175: 36-51. http://dx.doi.org/10.1016/j.biosystemseng.2018.08.009
ü NOVELLI, A., AGUILAR,
M.A., AGUILAR, F.J., NEMMAOUI, A., TARANTINO, E., 2017, AssesSeg—A Command Line Tool
to Quantify Image Segmentation Quality: A Test Carried Out in Southern Spain
from Satellite Imagery. Remote Sensing, 9 (1):
40. http://dx.doi.org/10.3390/rs9010040
ü NOVELLI, A., AGUILAR,
M.A., NEMMAOUI, A., AGUILAR, F.J., TARANTINO, E., 2016, Performance
evaluation of object based greenhouse detection from Sentinel-2 MSI and
Landsat 8 OLI data: A case study from Almería (Spain). Int.
J. Appl. Earth Obs. Geoinf., 52: 403-411. http://dx.doi.org/10.1016/j.jag.2016.07.011
ü AGUILAR, M.A.,
VALLARIO, A., AGUILAR, F.J., GARCÍA LORCA, A., PARENTE, C.,
2015, Object-Based
Greenhouse Horticultural Crop Identification from Multi-Temporal Satellite
Imagery: A Case Study in Almeria, Spain. Remote Sensing,
7 (6): 7378-7401. http://dx.doi.org/10.3390/rs70607378
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