Other Resources

Key WP documents

Mul, M., Karimi, P., Coerver, H.M., Pareeth, S., Rebelo, L.M., (2020). Water Productivity and Water Accounting Methodology Manual. Project report, IHE Delft Institute for Water Education, The Netherlands and the International Water Management Institute, Sri Lanka.
Chukalla, A.D., Mul, M., Tran, B., and Karimi, P. (2020): Standardized protocol for land and water productivity analyses using WaPOR (v1.1). Zenodo. http://doi.org/10.5281/zenodo.4641360
FAO and IHE Delft, 2019. WaPOR Quality Assessment – technical report on the data quality of the WaPOR Database version 1.0. FAO report, Rome, Italy
Molden, D., and Sakthivadivel, R. (1999). Water Accounting to Assess Use and Productivity of Water. International Journal of Water Resources Development 15 (1-2): 55–71.

Chukalla, A.D., Mul, M.L., van der Zaag, P., van Halsema, G., Mubaya, E., Muchanga, E., den Besten, N., and Karimi, P., 2021. A Framework for Irrigation Performance Assessment Using WaPOR data: The case of a Sugarcane Estate in Mozambique, Hydrology and Earth System Sciences, 26, 2759–2778
Blatchford, M.L., Karimi, P., Bastiaanssen, W.G.M. and Nouri, H., 2018. From global goals to local gains—A framework for crop water productivity. ISPRS international journal of geo-information, 7(11), p.414.
Bastiaanssen, W.G.M., and Steduto, P. (2016). The Water Productivity Score (WPS) at Global and Regional Level: Methodology and First Results from Remote Sensing Measurements of Wheat, Rice and Maize. Science of the Total Environment.

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

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.