![pix4dmapper change basemap pix4dmapper change basemap](https://www.mdpi.com/sensors/sensors-19-05229/article_deploy/html/images/sensors-19-05229-g002-550.jpg)
A new blank map will open.Ĭlick the Add New Map icon, near the middle of the left hand toolbar. Open your raster calculator and enter a name for the new output layer.ĭouble click on the band name so that it appears in the lower “Raster expression” and complete the expression by writing the value >= “.25”.Ĭlick OK to create the new raster and see your new layer.Ĭlick Add and write the title of your map and click okay. The goal is to identify all pixels that are not plants, so we can remove or zero out their values. Then we take that filter and multiply it by the original values(pixel for pixel)! You guessed it! The output result is plant-pixels with data and non-plant-pixels with a 0! It’s cool if it doesn’t make sense yet, let’s run through these steps together! The output will result in pixels with plants being assigned a “1” for true and a “0” for false for pixels without plants. What value did you get for NDVI when you did your raster calculations? We will create our filter by setting (Filter “true” if > minimum NDVI value of plants).
![pix4dmapper change basemap pix4dmapper change basemap](https://support.pix4d.com/hc/article_attachments/360035432412/settings_basemap_provider.png)
For this class we are interested in looking at plants so lets use NDVI to set our filter parameters. Each pixel has a data value (which we all know) but we can use this information to our advantage. We are now going to use the values we gained from doing the raster calculations to set parameters on the image creating a filter.
![pix4dmapper change basemap pix4dmapper change basemap](https://micasense.com/wp-content/uploads/2020/03/CIR_EVA_Field.png)
Data Analysis - Data Extraction from Raster.
Pix4dmapper change basemap android#
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