Research
- Variation of evapotranspiration (ET) and transpiration in space and time, in relation to plant processes, water stress and drought, plant productivity, crop water requirements, aquifer recharge and atmospheric dynamic.
(example: Poster on forest ET) - Differentiating impact of water stress, thermal stress and biotic stress on transpiration.
- Impact of global changes on evapotranspiration and plant water processes
- Evapotranspiration mapping using remote sensing data
- Modeling thermal infrared land surface emissivity and radiances
- Participation to the development of new space missions with thermal infrared sensors TRISHNA (CNES-ISRA) and LSTM (ESA)
Publications récentes / Recent publications :
Soumis / Submitted
Allies A., A. Olioso, B. Cappelaere, G. Boulet, H. Barral, I. B. Moussa, J.-P. Chazarin, E. Delogu, J. Etchanchu, H. B.-A. Issoufou, I. Mainassara, M. Oï, J. Demarty, 2021.
A remote sensing data fusion method for continuous daily evapotranspiration mapping at kilometric scale in Sahelian areas.
En révision.
Mwangi S., Boulet G., Olioso A., 2021.
Assessment of an extended SPARSE model for estimating evapotranspiration from directional thermal infrared data.
En révision.
Vidal T.H.G., Gamet P., Olioso A., Jacob F., 2021.
Sensitivity of the TES method to TIR channels positioning: constraints on the TRISHNA TIR instrument.
En révision.
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, en ligne.
DOI: https://doi.org/10.1029/2021GL096579
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., 2021.
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, en ligne.
DOI: https://doi.org/10.1109/TGRS.2021.3099896
HAL: https://hal.inrae.fr/hal-03410117
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
Vidal T.H.G., Jacob F., Olioso A., Gamet P., 2021.
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
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 Sensing, 9(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
Publications plus anciennes
voir 1987 - 2015
