We analyzed the output from the Crop Production Model for Vietnam Landcover raster and discovered that the observed production in the result table does not match the FAO data for Vietnam 2020. The yield maps for the crops were also replaced with Earthstat yield maps.
Could you please elaborate on this? I’ve also attached the results for your consideration.
And, since I’m interested in analyzing Vietnam’s 2020 LULC raster, do I need to alter the Monfreda dataset for 2020?
result_table.csv (6.1 KB)
Could you attach the logfile from your model run so we can take a closer look and what might be going on?
Also, what does the FAO data look like for Vietnam 2020? How different are the InVEST results from what you would expect?
By this, do you mean that you’re using different yield maps than the ones that come with the Monfreda dataset? I just want to make sure I’m understanding your meaning.
It is not necessary to update the Monfreda datasets to run the model with your 2020 LULC for Vietnam, although the yield data in the Monfreda dataset will be based on observations from the year 2000.
Thank you for the response.
My model ran successfully without any errors, but the InVest and FAO results do not match.
FAO data for 2020 - Vietnam
Rice, paddy (rice milled equivalent) 
Rice, paddy 
Rubber, natural 
Vegetables, fresh nes 
I’ve attached a thread to answer your second question.
I am working on the crop production model for Viet Nam. The results are pretty confusing to interpret. The observed production of rice as per my result table is 3.164 million tonnes but as per the available literature we see that it is 38 million tonnes. I also see that the production in 95th percentile is very close to the value observed in the literature. Any assistance to help me understand this would be greatly appreciated.
Thanks in Advance.