In this exercise you will combine all the skills you have gathered in the previous exercises to develop annual/seasonal gap-filled ETa maps for Miandoab Irrigation Scheme (MIS). The focus study period is from October 2018 to September 2019.
The Miandoab Irrigation Scheme (MIS) is of strategic importance for food security in western Iran. The scheme was built in 1985 with a loan received from the World Bank. Through the years the MIS has been a reliable source for food production and has improved the livelihood of farmers. However, these agricultural activities have resulted in a reduction of the flow into Urmia Lake and are accounted for one of the reasons behind the shrinkage of the lake. Lake Urmia is the second biggest hypersaline lake in the world and its sphere of influence for biodiversity and the ecosystem goes beyond Iran. It also generates numerous economic benefits for Iran. Hence to help restore the lake the government of Iran has decided to reduce water allocated to MIS by 40% by increasing the performance of the scheme without compromising food production. The recent statistics show that the productivity of wheat and sugar beet in the MIS has fallen by an average of 20% in the past 5 years in comparison with the ten year average of 2000-2009.
The crop year for MIS is from October to September next year, covering two major cropping seasons. The winter cropping season is from October to June next year and the Summer cropping season is from May to September the same year. Major winter crops are Wheat and Barley, while Summer crops are mainly vegetables and sugar beet. There are all year crops like Orchards and Alfa-Alfa. A typical crop calendar in the region is shown in Figure 1.
Figure 1: Typical crop calendar in the region
Terms of Reference
The participant is expected to conduct a thorough study in the MIS to analyze the crop water consumption in MIS by computing Actual EvapoTranspiration maps, to help the government in devising informed strategies for reducing water consumption in the scheme while the crop production is increasing.
The exercise is divided into Four parts:
Part 1: Running PySEBAL for all the Landsat images (Less than 50% cloud cover) for the crop year October 2018 to September 2019
Part 2: Aggregation to seasonal/Annual maps and crop based statistics
Part 3: Comparison with FAO WaPOR data
Individual reports containing:
Description of data and methods
Seasonal and annual gap-filled maps of evapotranspiration for the MIS for study year and the statistics over MIS and per land cover type
Reflection on the temporal variation of ETa over crop type/land cover map (use the crop map that has the highest accuracy among the group members)
Follow up work: Repeat the above analysis for crop years 2017/18 and 2019/20 (Not part of this assignment.