Dr. Surya Gupta

Miriam Groß-Schmölders, Surya Gupta, Annett Wania, Maddie Grady, Jens Leifeld, & Christine Alewell. (2025, April 27). Building a Framework to Differentiate between Natural and Drained Peatlands in Europe by comparing Molecular and Remote Sensing Data. EGU General Assembly. https://doi.org/10.5194/egusphere-egu25-15330

Weber, T. K. D., Weihermüller, L., Nemes, A., Bechtold, M., Degré, A., Diamantopoulos, E., Fatichi, S., Filipović, V., Gupta, S., Hohenbrink, T. L., Hirmas, D. R., Jackisch, C., de Jong van Lier, Q., Koestel, J., Lehmann, P., Marthews, T. R., Minasny, B., Pagel, H., van der Ploeg, M., et al. (2024). Hydro-pedotransfer functions: A roadmap for future development. Hydrology and Earth System Sciences, 28(14), 3391–3433. https://doi.org/10.5194/hess-28-3391-2024

Gupta, Surya, Hasler, Julia Kim, & Alewell, Christine. (2024). Mining soil data of Switzerland: New maps for soil texture, soil organic carbon, nitrogen, and phosphorus [Journal-article]. Geoderma Regional, 36, e00747. https://doi.org/10.1016/j.geodrs.2023.e00747

Gupta, Surya, Borrelli, Pasquale, Panagos, Panos, & Alewell, Christine. (2024). An advanced global soil erodibility (K) assessment including the effects of saturated hydraulic conductivity. Science of The Total Environment, 908. https://doi.org/10.1016/j.scitotenv.2023.168249

Bouasria, Abdelkrim, Bouslihim, Yassine, Gupta, Surya, Taghizadeh-Mehrjardi, Ruhollah, & Hengl, Tomislav. (2023). Predictive performance of machine learning model with varying sampling designs, sample sizes, and spatial extents. Ecological Informatics, 78. https://doi.org/10.1016/j.ecoinf.2023.102294

Gupta, Surya, Lehmann, Peter, Bickel, Samuel, Bonetti, Sara, & Or, Dani. (2023). Global Mapping of Potential and Climatic Plant-Available Soil Water. Journal of Advances in Modeling Earth Systems, 15(11). https://doi.org/10.1029/2022ms003277

Borrelli, P., Alewell, C., Yang, J. E., Bezak, N., Chen, Y. X., Fenta, A. A., Fendrich, A. N., Gupta, S., Matthews, F., Modugno, S., Haregeweyn, N., Robinson, D. A., Tan, F. R. C., Vanmaercke, M., Verstraeten, G., Vieira, D. C. S., & Panagos, P. (2023). Towards a better understanding of pathways of multiple co-occurring erosion processes on global cropland. International Soil and Water Conservation Research, 11(4), 713–725. https://doi.org/10.1016/j.iswcr.2023.07.008

Kukal, M.S., Irmak, S., Dobos, R., & Gupta, S. (2023). Atmospheric dryness impacts on crop yields are buffered in soils with higher available water capacity. Geoderma, 429. https://doi.org/10.1016/j.geoderma.2022.116270

Gupta, Surya, Papritz, Andreas, Lehmann, Peter, Hengl, Tomislav, Bonetti, Sara, & Or, Dani. (2022). Global Soil Hydraulic Properties dataset based on legacy site observations and robust parameterization. Scientific Data, 9(1). https://doi.org/10.1038/s41597-022-01481-5

Gupta, Surya, Papritz, Andreas, Lehmann, Peter, Hengl, Tomislav, Bonetti, Sara, & Or, Dani. (2022). Global Mapping of Soil Water Characteristics Parameters— Fusing Curated Data with Machine Learning and Environmental Covariates. Remote Sensing, 14(8). https://doi.org/10.3390/rs14081947

Gupta, Surya, Bonetti, Sara, Lehmann, Peter, & Or, Dani. (2022). Limited role of soil texture in mediating natural vegetation response to rainfall anomalies. Environmental Research Letters, 17(3). https://doi.org/10.1088/1748-9326/ac5206

Li, Lu, Dai, Yongjiu, Shangguan, Wei, Wei, Nan, Wei, Zhongwang, & Gupta, Surya. (2022). Multistep Forecasting of Soil Moisture Using Spatiotemporal Deep Encoder–Decoder Networks. Journal of Hydrometeorology, 23(3), 337–350. https://doi.org/10.1175/jhm-d-21-0131.1

Adla, Soham, Gupta, Surya, Karumanchi, Sri Harsha, Tripathi, Shivam, Disse, Markus, & Pande, Saket. (2022). Agricultural Advisory Diagnostics Using a Data-Based Approach: Test Case in an Intensively Managed Rural Landscape in the Ganga River Basin, India. Frontiers in Water, 3. https://doi.org/10.3389/frwa.2021.798241

Lehmann, P., Leshchinsky, B., Gupta, S., Mirus, B. B., Bickel, S., Lu, N., & Or, D. (2021). Clays Are Not Created Equal: How Clay Mineral Type Affects Soil Parameterization [Journal-article]. Geophysical Research Letters, 48(20). https://doi.org/10.1029/2021gl095311

Gupta, Surya, Hengl, Tomislav, Lehmann, Peter, Bonetti, Sara, & Or, Dani. (2021). SoilKsatDB: Global database of soil saturated hydraulic conductivity measurements for geoscience applications. Earth System Science Data, 13(4), 1593–1612. https://doi.org/10.5194/essd-13-1593-2021

Gupta, Surya, Lehmann, Peter, Bonetti, Sara, Papritz, Andreas, & Or, Dani. (2021). Global Prediction of Soil Saturated Hydraulic Conductivity Using Random Forest in a Covariate-Based GeoTransfer Function (CoGTF) Framework. Journal of Advances in Modeling Earth Systems, 13(4). https://doi.org/10.1029/2020ms002242

Gupta, Surya, Karumanchi, Sri, Dash, Saroj, Adla, Soham, Tripathi, Shivam, Sinha, Rajiv, Paul, Debajyoti, & Sen, Indra. (2019). Monitoring Ecosystem Health in India’s Food Basket. A new critical zone observatory in India’s Ganga Basin helps researchers and farmers understand and improve the ways that human activities shape environmental processes. [Journal-article]. Eos, Transactions American Geophysical Union, 100. https://doi.org/10.1029/2019eo117683

Sinha, Rajiv, Gupta, Surya, & Nepal, Santosh. (2018). Groundwater dynamics in North Bihar plains. Current Science, 114(12), 2482–2493. https://doi.org/10.18520/cs/v114/i12/2482-2493

Gupta, Surya, & Kumar, Suresh. (2017). Simulating climate change impact on soil carbon sequestration in agro-ecosystem of mid-Himalayan landscape using CENTURY model. Environmental Earth Sciences, 76(11). https://doi.org/10.1007/s12665-017-6720-8

Gupta, S., & Kumar, S. (2017). Simulating climate change impact on soil erosion using RUSLE model − A case study in a watershed of mid-Himalayan landscape. Journal of Earth System Science, 126(3). https://doi.org/10.1007/s12040-017-0823-1

Kumar, Suresh, & Gupta, Surya. (2016). Geospatial approach in mapping soil erodibility using CartoDEM – a case study in hilly watershed of Lower Himalayan Range. Journal of Earth System Science, 125(7), 1463–1472. https://doi.org/10.1007/s12040-016-0738-2

Gupta, Surya, & Singh, J.P. (2014). Multiple well point system for irrigation and drainage for south-western districts of Punjab. Journal of Agricultural Research, 51(2), 175–180.

Sinha, Rajiv, Gaurav, Kumar, Mishra, Kanchan, & Gupta, Surya. (2023). The Kosi Megafan, India. In M. Justin Wilkinson, Yanni Gunnell (Ed.), Fluvial megafans on Earth and Mars (1 ed., pp. 202–218). Cambridge University Press. https://doi.org/10.1017/9781108525923.014

Hengl, T., Consoli, D., Tian, X., Nauman, T. W., Nussbaum, M., Isik, M. S., Parente, L., Ho, Y.-F., Simoes, R., Gupta, S., Samuel-Rosa, A., Zborowski Horst, T., Safanelli, J. L., & Harris, N. (2025). OpenLandMap-soildb: global soil information at 30 m spatial resolution for 2000–2022+ based on spatiotemporal Machine Learning and harmonized legacy soil samples and observations [Posted-content]. Copernicus GmbH. https://doi.org/10.5194/essd-2025-336

Alewell, C., Gupta, S., Poulenard, J., Niquille, N., Kaiser, A., Shokri, N., Scheper, S., Gross-Schmölders, M., Robinson, D., Campbell, G., Kabała, C., Lang, F., Dise, N., Panagos, P., & Borrelli, P. (2025). Assessing soil health quantitatively at European scale considering soil genesis [Posted-content]. Springer Science and Business Media LLC. https://doi.org/10.21203/rs.3.rs-6470019/v1

Dicen, G., Guillevic, F., Gupta, S., Chaboche, P.-A., Meusburger, K., Sabatier, P., Evrard, O., & Alewell, C. (2025). Distribution and sources of fallout 137Cs and 239+240Pu in equatorial and Southern Hemisphere reference soils [Journal-article]. Earth System Science Data, 17(4), 1529–1549. https://doi.org/10.5194/essd-17-1529-2025

Avcioglu, A., Gupta, S., Dicen, G., Vandromme, R., Alewell, C., Cerdan, O., Evrard, O., Bernard--Coquard, R., Angot, H., Sabatier, P., & Meusburger, K. (2025). Reconstruction of 137Cs and 239+240Pu baseline inventories in the Southern Hemisphere and Equatorial Soils [Posted-content]. Copernicus GmbH. https://doi.org/10.5194/egusphere-egu25-9055

Gupta, S., Scheper, S., Borrelli, P., Panagos, P., & Alewell, C. (2025). Exploring the influence of soil erosion on lake eutrophication through remote sensing across Europe [Posted-content]. Copernicus GmbH. https://doi.org/10.5194/egusphere-egu25-1329

Dicen, G., Guillevic, F., Gupta, S., Chaboche, P.-A., Meusburger, K., Sabatier, P., Evrard, O., & Alewell, C. (2024). Distribution and sources of fallout 137 Cs and 239+240 Pu in Equatorial and Southern Hemisphere reference soils [Posted-content]. Copernicus GmbH. https://doi.org/10.5194/essd-2024-509

Weber, T. K. D., Weihermüller, L., Nemes, A., Bechtold, M., Degré, A., Diamantopoulos, E., Fatichi, S., Filipović, V., Gupta, S., Hohenbrink, T. L., Hirmas, D. R., Jackisch, C., de Jong van Lier, Q., Koestel, J., Lehmann, P., Marthews, T. R., Minasny, B., Pagel, H., van der Ploeg, M., et al. (2023). Hydro-pedotransfer functions: A roadmap for future development [Posted-content]. Copernicus GmbH. https://doi.org/10.5194/egusphere-2023-1860

Gupta, S., Hengl, T., Lehmann, P., Bonetti, S., Papritz, A., & Or, D. (2020). Global prediction of soil saturated hydraulic conductivity using random forest in a Covariate-based Geo Transfer Functions (CoGTF) framework [Posted-content]. Wiley. https://doi.org/10.1002/essoar.10503663.1

Gupta, S., Hengl, T., Lehmann, P., Bonetti, S., & Or, D. (2020). SoilKsatDB: global soil saturated hydraulic conductivity measurements for geoscience applications [Posted-content]. Copernicus GmbH. https://doi.org/10.5194/essd-2020-149

Gupta, S., Tripathi, S., Sinha, R., Karumanchi, S. H., Paul, D., Tripathi, S. N., Sen, I. S., & Dash, S. K. (2018). Setting up a new CZO in the Ganga basin: instrumentation, stakeholder engagement and preliminary observations [Posted-content]. Wiley. https://doi.org/10.1002/essoar.bfe245c93cb55808.b3f3df49a9514dcb.1

Hengl, Tom, & Gupta, Surya. (2019). Soil water content (volumetric %) for 33kPa and 1500kPa suctions predicted at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution (Zenodo, Ed.) [dataset]. https://doi.org/10.5281/zenodo.2784001