Crop monitoring and biomass estimation based on downscaled remote sensing data in AquaCrop model (case study: Qazvin Plain, Iran)

Author:

Bahmanabadi Bahareh,Kaviani Abbas,Etedali Hadi Ramezani

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine

Reference80 articles.

1. Abi Saab, M. T., El Alam, R., Jomaa, I., Skaf, S., Fahed, S., Albrizio, R., & Todorovic, M. (2021). Coupling remote sensing data and aquacrop model for simulation of winter wheat growth under rainfed and irrigated conditions in a Mediterranean Environment. Agronomy, 11(11), 2265. https://www.mdpi.com/2073-4395/11/11/2265

2. Abrha, B., Delbecque, N., Raes, D., Tsegay, A., Todorovic, M., Heng, L., & Deckers, S. (2012). Sowing strategies for barley (Hordeum vulgare L.) based on modelled yield response to water with AquaCrop. Experimental Agriculture, 48(2), 252–271.

3. Alizadeh, H. A., Nazari, B., Parsinezhad, M., Ramazani, E. H., & Janbaz, H. R. (2010). Evaluation of AquaCrop model on wheat deficit irrigation in Karaj area. Iranian Journal of Irrigation and Drainage, 2(4), 273–283.

4. Alizadeh, M., Mousivand, A., & Sima, S. (2019). On the spatial and temporal perfomance of ESTARFM downscaling method for generating Landsat-like imagery. The Journal of Spatial Planning, 23(4), 123–145. http://hsmsp.modares.ac.ir/article-21-32693-fa.html

5. Bastiaanssen, W. G. (2000). SEBAL-based sensible and latent heat fluxes in the irrigated Gediz Basin. Turkey. Journal of Hydrology, 229(1–2), 87–100.

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