OLIOSO Albert

OLIOSO Albert

Directeur de recherche

Email : albert.olioso(at)inrae.fr
(Tél : +33 (0)4 32 72 24 06 : temporary disabled)
INRAE
URFM - UR629
Site Agroparc
Domaine Saint Paul
F-84914 AVIGNON Cedex 9

Directeur de recherche à l'Unité de Recherche Écologie des Forêts Méditerranéennes rattachée au Département Écologie et biodiversité (ECODIV).

ORCID-ID : https://orcid.org/0000-0001-8342-9272
IdHal : albert-olioso

Research

  • Variations spatio-temporelle de l'évapotranspiration (ET) et de la transpiration, en relation avec le fonctionnement des couverts végétaux, le stress hydrique et la sécheresse, la productivité végétale, les besoins en eau des cultures, la recharge des aquifères et la dynamique atmosphérique.
    (exemple : poster sur l'ET des forêts)
  • Différencier les impacts des stress hydriques, thermiques et biotiques sur la transpiration.
  • Impact des changements globaux sur l'évapotranspiration et les processus hydriques des plantes.
  • Cartographie de l'évapotranspiration à l'aide de données de télédétection
  • Modélisation de l'émissivité et des radiances de la surface terrestre dans l'infrarouge thermique
  • Participation au développement de nouvelles missions spatiales avec des capteurs infrarouges thermiques TRISHNA (CNES-ISRA) et LSTM (ESA).

Publications récentes :

Soumis

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En révision

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Publiées en 2025

Druel, A., Ruffault, J., Davi, H., Chanzy, A., Marloie, O., De Cáceres, M., Olioso, A., Mouillot, F., François, C., Soudani, K., and Martin-StPaul, N. K., 2025.            
Enhancing environmental models with a new downscaling method for global radiation in complex terrain.
Biogeosciences, 22, 1–18.                
https://doi.org/10.5194/bg-22-1-2025

Etchanchu J., Demarty J., Dezetter A., Farhani F., Thiam P. B., Allies A., Bodian A., Boulet G., Chahinian N., Diop L., Mainassara I., Ndiaye P. M., Ollivier C., Olioso A., Roupsard O., 2025.  
Multiscale analysis of existing actual evapotranspiration products over agropastoral Sahel.               
Journal of Hydrology, 651, 132585.             
https://doi.org/10.1016/j.jhydrol.2024.132585
https://hal.inrae.fr/hal-04868633

Farhani N., Etchanchu J., Boulet G., Gamet P., Olioso A., Dezetter A., Bodian A., Chahinian N., Mallick K., Ollivier C., Roupsard O., Allies A., Demarty J., 2025.      
Spatially remotely sensed evapotranspiration estimates in Sahel regions using an ensemble contextual model with automated heterogeneity assessment.     
Science of Remote Sensing, 100229.           
https://doi.org/10.1016/j.srs.2025.100229
https://hal.science/hal-05074158

Hongliang Ma, Marie Weiss, Daria Malik, Beatrice Berthelot, Marta Yebra, Rachael Nolane, Arnaud Mialon, Jiangyuan Zeng, Xingwen Quan, Håkan Torbern Tagesson, Albert Olioso, Frederic Baret, 2025.              
Satellite canopy water content from Sentinel-2, Landsat-8 and MODIS: principle, algorithm and assessment.
Remote Sensing of Environment, 326, 114801
https://doi.org/10.1016/j.rse.2025.114801

Huanyu Zhang, Tian Hu, Bo-Hui Tang, Albert Olioso, Yoanne Didry, Kanishka Mallick, Patrik Hitzelberger, Yun Jiang, Yuanliang Cheng, Zoltan Szantoi, 2025.          
Revisit of the temperature and emissivity separation algorithm (TES) towards model refinement.
   
IEEE Transactions on Geoscience and Remote Sensing, Publié en ligne : 10 février 2025         
https://doi.org/10.1109/TGRS.2025.3540710 

Huanyu Zhang, Tian Hu, Bo-Hui Tang, Kanishka Mallick, Xiaopo Zheng, Mengmeng Wang, Albert Olioso, Vincent Rivalland, Darren Ghent, Agnieszka Soszynska, Zoltan Szantoi, Lluís Pérez-Planells, Frank M. Göttsche, Dražen Skoković, José A. Sobrino, 2025.
Deep learning
coupled with split window and temperature-emissivity separation (DL-SW-TES) method improves clear-sky high resolution land surface temperature estimation.     
ISPRS Journal of Photogrammetry and Remote Sensing, 225, 1-18.    
https://doi.org/10.1016/j.isprsjprs.2025.04.016        

Publiées en 2024

Kinoti I., Leblanc M., Lekula M., Tweed S., Kenabatho P,K., Olioso A., Lubczynski M.W., 2024.             
Hydrogeological conceptual model of Stampriet Transboundary Aquifer System in Southern Africa               
Groundwater for Sustainable Development, 26, 101301         
DOI : https://doi.org/10.1016/j.gsd.2024.101301
HAL : https://hal.inrae.fr/hal-04694541v1

Publiées en 2023

Tian Hu, Kaniska Mallick, Patrik Hitzelberger, Yoanne Didry, Gilles Boulet, Zoltan Szantoi, Benjamin Koetz, Itziar Alonso, Madeleine Pascolini-Campbell, Gregory Halverson, Kerry Cawse-Nicholson, Glynn C. Hulley, Simon Hook, Nishan Bhattarai, Albert Olioso, Jean-Louis Roujean, Philippe Gamet, Bob Su, 2023.           
Evaluating European ECOSTRESS Hub Evapotranspiration Products Across a Range of Soil-Atmospheric Aridity and Biomes Over Europe.   
Water Resources Research, 59, e2022WR034132.
DOI: https://doi.org/10.1029/2022WR034132 
HAL: https://hal.inrae.fr/hal-03866684v2
Pre-print : https://doi.org/10.1002/essoar.10512884.1

Mwangi Samuel, Gilles Boulet, Michel LePage, J-P Gastellu-Etchegorry, Joaquim Bellvert, Baptiste Lemaire, Pascal Fanise, Jean-Louis Roujean, Albert Olioso, 2023.
Observation and assessment of model retrievals of surface exchange components over a row canopy using directional thermal data.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16, 7343-7356.
DOI: 10.1109/JSTARS.2023.3297709
HAL: https://hal.inrae.fr/hal-04208842v1

Ollivier C., Carrière S.D., Heath T., Olioso A., Rabefitia Z., Rakoto H., Oudin L., Satge F., 2023.     
Ensemble precipitation estimates based on the assessment of 21 gridded precipitation datasets to improve precipitation estimations across Madagascar.        
Journal of Hydrology: Regional Studies, 47, 101400.
DOI: https://doi.org/10.1016/j.ejrh.2023.101400
HAL: https://hal.inrae.fr/hal-04153014

Ruffault J., Limousin J.-M., Pimont F., Dupuy J.-L., De Càceres M., Cochard H., Mouillot F., Blackman C.J., Torres-Ruiz J.M., Parsons R.A., Moreno M., Delzon S., Jansen S., Olioso A., Choat B. and Martin-StPaul N.K., 2023.        
Plant hydraulic modelling of leaf and canopy water content reveals increasing vulnerability of a Mediterranean forests to wildfire under extreme drought.      
New Phytologist, 237:1256–1269.
DOI: https://doi.org/10.1111/nph.18614
HAL: https://hal.inrae.fr/hal-04047940v1 [Pas de fichier déposé]

 

2022

Allies A., A. Olioso, B. Cappelaere, G. Boulet, J. Etchanchu, H. Barral, I. B. Moussa, J.-P. Chazarin, E. Delogu, H. B.-A. Issoufou, I. Mainassara, M. Oï, J. Demarty, 2022. 
A remote sensing data fusion method for continuous daily evapotranspiration mapping at kilometric scale in Sahelian areas.    
Journal of Hydrology, Volume 607, 127504.
DOI: https://doi.org/10.1016/j.jhydrol.2022.127504

Jacob, F., Vidal, T.H.G., Lesaignoux, A., Olioso, A., Weiss, M., Nerry, F., Jacquemoud, S., Gamet, P., Caillault, K., Labarre, L., French, A., Schmugge, T., Briottet X., Lagouarde, J.P., 2022.  
A simulation-based error budget of the TES method for the design of the spectral configuration of the micro-bolometer based MISTIGRI thermal infrared sensor.      
IEEE Transactions on Geoscience and Remote Sensing, 60, 5000919         
DOI: https://doi.org/10.1109/TGRS.2021.3099896  
HAL: https://hal.inrae.fr/hal-03410117

Mwangi S., Boulet G., Olioso A., 2022.             
Assessment of an extended SPARSE model for estimating evapotranspiration from directional thermal infrared data.
Agricultural and Forest Meteorology, 317, 108882.        
DOI: https://doi.org/10.1016/j.agrformet.2022.108882

Vidal T.H.G., Jacob F., Olioso A., Gamet P., 2022.         
Optimization of Instrumental Spectral Configurations for the Split Window Method in the Context of the TRISHNA Mission.
IEEE Transactions on Geoscience and Remote Sensing, en ligne
DOI: https://doi.org/10.1109/TGRS.2021.3099967    
HAL: https://hal.inrae.fr/hal-03336205

Vidal T.H.G., Gamet P., Olioso A., Jacob F., 2022.         
Optimizing TRISHNA TIR channels configuration for improved land surface temperature and emissivity measurements.
Remote Sensing of Environment, 272, 112939   
DOI: https://doi.org/10.1016/j.rse.2022.112939

2021

Delogu, E., Olioso, A., Alliès, A., Demarty, J., Boulet, G., 2021.
Evaluation of Multiple Methods for the Production of Continuous Evapotranspiration Estimates from TIR Remote Sensing    
Remote Sensing, 13, no. 6, 1086.         
DOI: https://doi.org/10.3390/rs13061086
HAL: https://hal.inrae.fr/hal-03174535

Carrière S.D., Loiseau B., Champollion C., Ollivier C., Martin-StPaul N.K., Lesparre N., Olioso A., Hinderer J., Jougnot D., 2021.
First evidence of correlation between Evapotranspiration and Gravity at a daily time scale from two vertically spaced superconducting gravimeters.     
Geophysical Research Letters, 48 (24), pp.e2021GL096579.       
DOI: https://doi.org/10.1029/2021GL096579
HAL: https://hal.inrae.fr/hal-03494887v1 [open access preprint]

Ollivier C., A. Olioso, S.D. Carrière, J-B. Charlier, H. Davi, N. K. Martin St-Paul, M. Weiss, G. Simioni, O. Marloie, N. Mazzilli, K. Chalikakis, C. Emblanch, D. Combemale and A. Chanzy, 2021.
An evapotranspiration model driven by remote sensing data for assessing groundwater resource in karst watershed.       
Science of the Total Environment, 781, 146706.        
DOI: https://doi.org/10.1016/j.scitotenv.2021.146706 
HAL: https://hal.inrae.fr/hal-03203364  

2020

Allies A., J. Demarty, A. Olioso, I. Bouzou Moussa, H. B.-A. Issoufou, C. Velluet, M. Bahir, I. Mainassara, M. Oï, J.-P. Chazarin, B. Cappelaere. 2020.
Evapotranspiration Estimation in the Sahel Using a New Ensemble-Contextual Method.
Remote Sensing, 12, 380.
DOI: https://doi.org/10.3390/rs12030380   
HAL: https://hal.inrae.fr/hal-02903308

Carrière S.D., Ruffault J., Cakpo C.B., Olioso A., Doussan C., Simioni G., Chalikakis K., Patris N., Davi H., Martin-StPaul N.K., 2020. 
Intra-specific variability in deep water extraction between trees growing on a Mediterranean karst. 
Journal of Hydrology, 590, 125428
DOI: https://doi.org/10.1016/j.jhydrol.2020.125428

Carrière, S., Martin St-Paul, N., Cakpo, C. B., Patris, N., Gillon, M., Chalikakis, K., Doussan, C., Olioso, A., Babic, M., Jouineau, A., Simioni, G., Davi, H., 2020. 
The role of deep vadose zone water in tree transpiration during drought periods in karst settings – Insights from isotopic tracing and leaf water potential. 
Science of the Total Environment, 699, 134332.
DOI: https://doi.org/10.1016/j.scitotenv.2019.134332 
HAL: http://prodinra.inra.fr/record/483355

Carrière S., Martin-StPaul N.K., Cakpo C.-B., Patris N., Gillon M., Chalikakis K., Doussan C., Olioso A., Babic M., Jouineau A., Simioni G., Davi H., 2020.
Tree xylem water isotope analysis by Isotope Ratio Mass Spectrometry and Laser Spectroscopy: a dataset to explore drought response.
Data in Brief, 29, 105349.
DOI: https://doi.org/10.1016/j.dib.2020.105349   
HAL: https://hal.inrae.fr/hal-02525931

Ollivier, C., Mazzilli, N., Olioso, A., Chalikakis, K., Carrière, S., Danquigny, C., Emblanch, C., 2020. 
Karst recharge-discharge semi distributed model to assess spatial variability of flows. 
Science of the Total Environment, 703, 134368.
DOI: https://doi.org/10.1016/j.scitotenv.2019.134368 
HAL: https://hal.inrae.fr/hal-02309565

2019

Guillevic, P.C., Olioso, A., Hook, S.J., Fisher, J.B., Lagouarde, J.-P., Vermote, E.F., 2019.
Impact of the revisit of thermal infrared remote sensing observation on evapotranspiration uncertainty – A sensitivity study using AmeriFlux data.
Remote Sensing, 11, 573.
DOI: https://doi.org/10.3390/rs11050573.
HAL: https://hal.inrae.fr/hal-02620039

2018

Alkassem Alosman M., Ruy S., Buis S., Lecharpentier P., Bader J.C., Charron F., Olioso A., 2018.
An improved method to estimate soil hydrodynamic and hydraulic roughness parameters by using easily measurable data during flood irrigation experiments and inverse modeling.
Water, 10(11), 1581.
DOI: https://doi.org/10.3390/w10111581

Delogu, E., Boulet, G., Olioso, A., Garrigues, S., Brut, A., Tallec, T., Demarty, J., Soudani, K., Lagouarde, J.-P., 2018. 
Evaluation of the SPARSE dual-source model for predicting water stress and evapotranspiration from thermal infra-red data over multiple crops and climates. 
Remote Sensing, 10(11), 1806;
DOI:https://doi.org/10.3390/rs10111806

Durand JL.; Delusca K.; K. Boote; J. Lizaso; R. Manderscheid; HJ. Weigel; A. Ruane; C. Rosenzweig; J. Jones; L. Ahuja; S. Anapalli; B. Basso; C. Baron; P.Bertuzzi; C. Biernath; D. Deryng; F. Ewert; T. Gaiser; S. Gayler; F. Heinlein; KC. Kersebaum; SH. Kim; C. Müller; C. Nendel; A. Olioso, E. Priesack; J. Ramirez Villegas; K. Waha; D. Ripoche; E. R. Rötter; S. Seidel; A. Srivastava; F. Tao; D. Timlin; T. Twine; E. Wang; H. Webber; Z. Zhao, 2018.
How accurately do maize crop models simulate the interactions of atmospheric CO2 concentration levels and limited water supply on water use and yield?
European Journal of Agronomy, 100, 67-75.
DOI: https://doi.org/10.1016/j.eja.2017.01.002

Garrigues S., A. Boone, B. Decharme, A. Olioso, C. Albergel, J-C. Calvet, S. Moulin, S. Buis, E. Martin, 2018. 
Impacts of the soil water transfer parametrization on the simulation of evapotranspiration over a 14-year Mediterranean crop succession. 
Journal of Hydrometeorology, 19 (January 2018), 3-25. 
DOI: https://doi.org/10.1175/JHM-D-17-0058.1

2017

Bahir, M., Boulet, G., Olioso, A., Rivalland, V., Gallego-Elvira, B., Mira, M., Rodriguez, J.C., Jarlan, L., Merlin, O., 2017.
Evaluation and aggregation properties of Thermal Infra-Red –based evapotranspiration algorithms from 100 m to the km scale over a semi-arid irrigated agricultural area.
Remote Sensing9(11), 1178.
DOI:https://doi.org/10.3390/rs9111178

Jacob, F., Lesaignoux, A., Olioso, A., Weiss, M., Caillault, K., Jacquemoud, S., Nerry, F., French, A., Schmugge, T., Briottet, X., Lagouarde, J.-P., 2017.
Reassessment of the temperature - emissivity separation from multispectral thermal infrared data: Introducing the impact of vegetation canopy by simulating the cavity effect with the SAIL-Thermique model.
Remote Sensing of Environment, 198: 160-172.     
DOI: 10.1016/j.rse.2017.06.006

Shen H, Leblanc M, Frappart F, Seoane L, O’Grady D, Olioso A and Tweed S,  2017.
A comparative study of GRACE with continental evapotranspiration estimates in Australian semi-arid and arid basins.
Water, 9, 614. 
DOI:https://doi.org/10.3390/w9090614

2016

Mira M., Olioso A., Gallego-Elvira B., Courault D., Garrigues S., Marloie O., Hagolle O., Guillevic P., Boulet G., 2016.
Uncertainty assessment of surface net radiation derived from Landsat images,
Remote sensing of Environment, 175, 251–270.
http://dx.doi.org/10.1016/j.rse.2015.12.054

Duffour, C., J.-P. Lagouarde, A. Olioso, J. Demarty, J.-L. Roujean, 2016.
Driving factors of the directional variability of thermal infrared signal in temperate regions.
Remote Sensing of Environment, 177, 248-264.
http://dx.doi.org/10.1016/j.rse.2016.02.024

Trolard, F., Bourrié, G., Baillieux, A., Buis, S., Chanzy, A., Clastre, P., Closet, J.-F., Courault, D., Dangeard, M.-L., Di Virgilio, N., Dussouliez, P., Fleury, J., Gasc, J., Géniaux, G., Jouan, R., Keller, C., Lecharpentier, P., Lecroart, J., Napoleone, C., Mohammed, G., Olioso, A., Reynders, S., Rossi, F., Tennant, M., de Vicente Lopez, J., 2016.
The PRECOS framework: Measuring the impacts of the global changes on soils, water, agriculture on territories to better anticipate the future.
Journal of Environmental Management, 181, 590–601. 
http://dx.doi.org/10.1016/j.jenvman.2016.07.002

Inoue, Y., Guérif, M., Baret, F., Skidmore, A., Gitelson, A., Schlerf, M., Darvishzadeh, R., Olioso, A., 2016.
Simple and robust methods for remote sensing of canopy chlorophyll content: a comparative analysis of hyperspectral data for different types of vegetation.
Plant, Cell and Environment, 39, 2609-2623.
doi: https://doi.org/10.1111/pce.12815

2015

Boulet, G., B. Mougenot, J.-P. Lhomme, P. Fanise, Z. Lili-Chabaane, A. Olioso, M. Bahir, V. Rivalland, L. Jarlan, O. Merlin, B. Coudert, S. Er-Raki, J.-P. Lagouarde. 2015.
The SPARSE model for the prediction of water stress and evapotranspiration components from thermal infra-red data and its evaluation over irrigated and rainfed wheat.
Hydrology and Earth System Sciences, 19, 4653-4672.       
www.hydrol-earth-syst-sci.net/19/4653/2015/
doi:10.5194/hess-19-4653-2015

Duffour, C., A. Olioso, J. Demarty, C. Van der Tol, J.-P. Lagouarde, 2015.
An evaluation of SCOPE: a tool to simulate the directional anisotropy of satellite-measured surface temperatures.
Remote Sensing of Environment, 158, 362–375.
http://dx.doi.org/10.1016/j.rse.2014.10.019

Garrigues, S., Olioso, A., Calvet, J-C., Martin, E., Lafont, S., Moulin, S., Chanzy, A., Marloie, O., Buis, S., Desfonds, V., Bertrand, N., Renard, D., 2015.
Evaluation of land surface model simulations of evapotranspiration over a 12-year crop succession: impact of soil hydraulic and vegetation properties. Hydrology and Earth System Sciences, 19, 3109-3131.
www.hydrol-earth-syst-sci.net/19/3109/2015/. doi:10.5194/hess-19-3109-2015

Garrigues, S., Olioso, A., Carrer, D., Decharme, B., Martin, E., Calvet, J.-C., Moulin, S., Marloie, O., 2015.
Impact of climate, vegetation, soil and crop management variables on multi-year ISBA-A-gs simulations of evapotranspiration over a Mediterranean crop site.
Geoscientific Model Development, 8, 3033-3053.
http://www.geosci-model-dev.net/8/3033/2015/gmd-8-3033-2015.html. doi:10.5194/gmd-8-3033-2015.

Mira M., Weiss M., Baret F., Courault D., Hagolle O., Gallego-Elvira B., Olioso A., 2015.
The MODIS (collection V006) BRDF/albedo product MCD43D: temporal course evaluated over agricultural landscape.
Remote Sensing of Environment, 170, 216-228.
doi:10.1016/j.rse.2015.09.021

2014

Davin E. L., Seneviratne S. I., Ciais P., Olioso A. and Wang T., 2014.
Preferential cooling of hot extremes from cropland albedo management.
PNAS (Proceedings of the National Academy of Sciences of the United States of America), 111 (27): 9757–9761.      
doi:10.1073/pnas.1317323111.

Review dans Nature: http://www.nature.com/news/unploughed-fields-take-edge-off-heatwaves-1.15438

Gilmanov, T.G., Baker, J.M., Bernacchi, C.J., Billesbach, D.P., Burba, G.G., Castro, S., Chen, J., Eugster, W., Fischer, M.L., Gamon, J.A., Gebremedhin, M.T., Glenn, A.J., Griffis, T.P., Hatfield, J.L, Heuer, M.W., Howard, D.M., Leclerc, M.Y., Loescher, H.W., Marloie, O., Meyers, T.P., Olioso, A., Phillips, R.L., Prueger, J.H., Skinner, R.H., Suyker, A.E., Tenuta, M., Wylie, B.K., 2014.
Productivity and CO2 exchange of the leguminous crops: Estimates from flux-tower measurements.
Agronomy Journal, 106, 545–559.           
doi:10.2134/agronj2013.0270

Guillevic, P.C., Biard, J., Hulley, G.C., Privette, J.L., Hook, S.J., Olioso, A., Göttsche, F.M., Radocinski, R., Román, M.O., Yu, Y., Csiszar, I., 2014.
Validation of Land Surface Temperature products derived from the Visible Infrared Imager Radiometer Suite (VIIRS) using ground-based and heritage satellite measurements.
Remote Sensing of Environment, 154, 19-37.          
DOI: 10.1016/j.rse.2014.08.013

Merlin O., Chirouze J., Olioso A., Jarlan L., Chehbouni G., Boulet G., 2014.
An image-based four-source surface energy balance model to estimate crop evapotranspiration from solar reflectance/thermal emission data (SEB-4S).
Agricultural and Forest Meteorology, 184, 188-203.

Tang, X., Li, H., Desai, A.R., Nagy, Z., Luo, J., Kolb T.E., Olioso, A., Xu, X., Yao, L., Kutsch, W., Pilegaard, K., Köstner, B., Ammann, C., 2014.
How is water-use efficiency of terrestrial ecosystems distributed and changing on Earth?
Scientific Reports, 4, 7483.    
DOI: 10.1038/srep07483.       
http://www.nature.com/srep/2014/141215/srep07483/full/srep07483.html

Publications plus anciennes

voir 1987 - 2015