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The draft of the model below

TASK: I need to calculate the percentage of river channel that is covered with shadow in each timestep

RESOURCS: I have values for azimuth and elevation of the sun (hourly timestep for daylight hours within a year – over 3000 values)

INPUTS: 1. A table (.dbf) with azimuth and elevation values 2. A river chanel mask (single polygon) 3. A DSM

PROBLEMS

How to make an interaction with two lists as parameters

The elevation value and azimuth value are assingned to a certain time and date, .I don’t want to calculate hillshade for e.g elevation row 2 and azimuth row 6 –I want only elevation row 1 + azimuth row 1, elevation row 2 + azimuth row 2, elevation row 3 + azimuth row 3… etc…

How to save an output – all the means - back to the input table – I had an idea to use a calculate field tool, but I don’t know how to “import” the values to the expression field.


I've figured out the solution to my first problem. It was easier than I thought. I Do not need to iterate. The simple for of input variable as a list and specifying the table to derive the values. But there is still the other problem - how to write the output back to the input table as a next columnmodel

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If you have two sources, first join them together, either by spatial or attribute criteria. Then you can use columns of both data sources in the Field calculator.

Field calculation examples using code blocks and multiple parameters.

  • I do have only one source: a table with 3 columns: time, elevation, azimuth (and many many rows...) I want to run the HILLSHADE tool with parameters derived from each row. I use ModelBuilder. So far I've managed to run the procedure for one row manually, so I know that it works and as a result I get the raster with shadows within the river channel. But if I will run the model I will have multiple rasters. For each I would like to calculatethe mean and write it to the input table - so I will have output table contaning 4 columns: time, elevation, azimuth and mean – user3551730 Jul 16 '14 at 8:30

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