Water Productivity Improvement in Practice

Other Resources

Key WP documents

WP Methodologies

WP Applications

  • Servia, H., Pareeth, S., Michailovsky, C.I., de Fraiture, C. and Karimi, P., 2022. Operational framework to predict field level crop biomass using remote sensing and data driven models. International Journal of Applied Earth Observation and Geoinformation, 108, p.102725.
  • Karimi, P., Bongani, B., Blatchford, M. and de Fraiture, C., 2019. Global satellite-based ET products for the local level irrigation management: An application of irrigation performance assessment in the Sugarbelt of Swaziland. Remote sensing, 11(6), p.705.
  • Safi, A.R., Karimi, P., Mul, M., Chukalla, A., de Fraiture, C., 2022. Translating open-source remote sensing data to crop water improvement actions. Agricultural Water Management, 261, 107373

WP reports

  • van Steenbergen, F., Mulder, E., Bremer, K., Mul, M., Chukalla, A., Chevalking, S., Deligianni, A., van der Pluijm, L., Deribe, M., 2022. Compendium of Approaches to Improve Water Productivity. Water-PIP technical report series. IHE Delft Institute for Water Education, Delft, the Netherlands.
  • Karimi, P., Pareeth, S. 2020. Remote Sensing Based Water Productivity Assessment – NLBC, Karnataka, India. Project report, IHE Delft Institute for Water Education, The Netherlands.
  • Chukalla, A.D., Mul, M., van Halsema, G., van der Zaag, P., Uyttendaele, T., Karimi, P., 2020. Water Productivity Analyses Using WaPOR Database. A Case Study in Xinavane, Mozambique. Water-PIP technical report series. IHE Delft Institute for Water Education, Delft, the Netherlands
  • Michailovsky, C., Pareeth, S., Karimi, P., Mul, M., 2020. Water Accounting and Productivity for the Selenge River Basin, Mongolia. Project report, IHE Delft Institute for Water Education, The Netherlands.