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Dernière mise à jour : Mai 2018

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Adaptation of irrigated agriculture to climate Change

Pubication list

Publications ATCHA (2017-2022)

2018

  1. Mangiarotti, S., Sharma, A. K., Corgne, S., Hubert-Moy, L., Ruiz, L., Sekhar, M., & Kerr, Y. (2018). Can the global modeling technique be used for crop classification?. Chaos, Solitons & Fractals, 106, 363-378. https://doi.org/10.1016/j.chaos.2017.12.003
  2. Sharma, A. K., Hubert-Moy, L., Buvaneshwari, S., Sekhar, M., Ruiz, L., Bandyopadhyay, S., & Corgne, S. (2018). Irrigation History Estimation Using Multitemporal Landsat Satellite Images: Application to an Intensive Groundwater Irrigated Agricultural Watershed in India. Remote Sensing, 10(6), 893 ; https://doi.org/10.3390/rs10060893

2019

  1. Sharma, A. K., Hubert-Moy, L., Sriramulu, B., Sekhar, M., Ruiz, L., Bandyopadhyay, S., Shiv Mohan & Corgne, S. (2019). Evaluation of Radarsat-2 quad-pol SAR time-series images for monitoring groundwater irrigation. International Journal of Digital Earth, 1-21. https://doi.org/10.1080/17538947.2019.1604834
  2. Gomez, C., Dharumarajan, S., Féret, J. B., Lagacherie, P., Ruiz, L., & Sekhar, M. (2019). Use of sentinel-2 time-series images for classification and uncertainty analysis of inherent biophysical property: Case of soil texture mapping. Remote Sensing, 11(5), 565. https://doi.org/10.3390/rs11050565

2020

  1. Dharumarajan, S., Kalaiselvi, B., Suputhra, A., Lalitha, M., Hegde, R., Singh, S.K. and Lagacherie, P., 2020. Digital soil mapping of key GlobalSoilMap properties in Northern Karnataka Plateau. Geoderma Regional, 20, p.e00250. https://doi.org/10.1016/j.geodrs.2019.e00250
  2. Guétat-Bernard, H., Landy, F., Oger-Marengo, M., Deschamps-Rébéré, J., Ruiz L. 2020 Injustices environnementales, crise de l’eau et crise de la reproduction sociale du monde paysan... Les effets multiplicateurs de la Révolution verte en Inde. Nature & Progrès, 125, 35-37.
  3. Buvaneshwari, S., Riotte, J., Sekhar, M., Sharma, A. K., Helliwell, R., Kumar, M. M., Bran, J.J. & Ruiz, L. (2020). Potash fertilizer promotes incipient salinization in groundwater irrigated semi-arid agriculture. Scientific reports, 10(1), 1-14. https://doi.org/10.1038/s41598-020-60365-z

2021

  1. Gomez, C., Dharumarajan, S., Lagacherie, P., Riotte, J., Ferrant, S., Sekhar, M., Ruiz, L., 2021. Mapping of tank silt application using Sentinel-2 images over the Berambadi catchment (India). Geoderma Reg. 25, e00389. https://doi.org/10.1016/j.geodrs.2021.e00389
  2. Landy, F., Ruiz, L., Jacquet, J., Richard-Ferroudji, A., Sekhar, M., Guétat-Bernard, H., Oger-Marengo, M., Venkatasubramanian, G., & Noûs, C. (2021). Commons as Demanding Social Constructions: The Case of Aquifers in Rural Karnataka. International Journal of Rural Management, 17(1) 27-54. https://doi.org/10.1177/0973005220945428
  3. Sharma, A.K., Hubert-Moy, L., Buvaneshwari, S., Sekhar, M., Ruiz, L., Moger, H., Bandyopadhyay, S. and Corgne, S., 2021. Identifying Seasonal Groundwater-Irrigated Cropland Using Multi-Source NDVI Time-Series Images. Remote Sensing, 13(10), p.1960. https://doi.org/10.3390/rs13101960
  4. Dharumarajan, S., Kalaiselvi, B., Suputhra, A., Lalitha, M., Vasundhara, R., Kumar, K.A., Nair, K.M., Hegde, R., Singh, S.K. and Lagacherie, P., 2021. Digital soil mapping of soil organic carbon stocks in Western Ghats, South India. Geoderma Regional, 25, p.e00387. https://doi.org/10.1016/j.geodrs.2021.e00387
  5. Schwendimann, L., Sivaprakasam, I., Buvaneshwari, S., Gurumurthy,  G.P., Mishra, S., Ruiz, L., Sekhar, M., Fleiss, B., Riotte, J., Mani, S. and Gressens, P. 2021 Agricultural groundwater with high nitrates and dissolved salts given to pregnant mice alters brain development in the offspring. Ecotoxicology and Environmental Safety, 224, 112635. https://doi.org/10.1016/j.ecoenv.2021.112635.
  6. Aubron, C., Vigne, M., Philippon, O., Lucas, C., Lesens, P., Upton, S., Salgado, P. and Ruiz, L., 2021. Nitrogen metabolism of an Indian village based on the comparative agriculture approach: How characterizing social diversity was essential for understanding crop-livestock integration. Agricultural Systems, 193, p.103218. https://doi.org/10.1016/j.agsy.2021.103218
  7. Baccar, M., Bergez, J.E., Couture, S., Sekhar, M., Ruiz, L. and Leenhardt, D., 2021. Building Climate Change Adaptation Scenarios with Stakeholders for Water Management: A Hybrid Approach Adapted to the South Indian Water Crisis. Sustainability, 13(15), p.8459. https://doi.org/10.3390/su13158459

 

  

Conferences

  1. Sharma Amit Kumar, Laurent Ruiz, Sriramulu Buvaneshwari, Muddu Sekhar, Laurence Hubert-Moy, and Samuel Corgne. Irrigated area estimation using Landsat satellite images in the Berambadi watershed. In EGU General Assembly Conference Abstracts. EGU2018-17445, PICO5b.6 (Oral).
  2. Buvaneshwari Sriramulu, Muddu Sekhar, Jean Riotte, Helene Raynal, Eric Casellas, Mandalagiri S Mohan Kumar, Mads Troldborg, and Laurent Ruiz (2018) Modelling the impact of nutrient recycling on groundwater resource quantity and quality in an irrigated semi-arid tropical catchment. In EGU General Assembly Conference Abstracts, EGU2018-17226, (Poster).
  3. Deepti Upadhyaya, Sekhar Muddu, Sudhakar Rao, and Laurent Ruiz (2018) Scale effects in estimation of water budgets in semi-arid irrigated agricultural plots. In EGU General Assembly Conference Abstracts. EGU2018-17073, HS8.3.4/SSS13.81 (Oral)
  4. Buvaneshwari, S., Riotte, J., Ruiz, L., Sekhar, M., Sharma, A. K., Duprey, J. L., Audry, S., Braun, J.J. & Mohan Kumar, M. S. (2017). Impacts of land-use and soil properties on groundwater quality in the hard rock aquifer of an irrigated catchment: the Berambadi (Southern India). In EGU General Assembly Conference Abstracts, 19, 18884 (Oral).
  5. Upadhyaya, D. B., Muddu, S., Rao Sr, S. M., & Ruiz, L. (2018). Water Use Efficiency in Groundwater Irrigated Agricultural Plots in Semi-Arid Region: New Methodology Combining Models and In-situ Measurements. American Geophysical Union, Fall Meeting 2018, abstract #H13S-2026.
  6. Baccar, M., Raynal, H., Casellas, E., Ruiz, L., Sekhar, M. and Bergez, J.E., 2020, February. ASCROM: A crop model designed to simulate agricultural water constraints in semi-arid areas from plot to territory. In ICROPM 2020.