I found a solution that fit for me, hope it will help others.
The problem was that the new band, in this case 'NDVI' did not have the same scale.
So I rescaled all the bands in the image to one united scale:
and then export it to the drive
These solution options were taken after speaking with ESRI tech support. I use ArcMap 10.5 version.
Go to Customize tab and select Customize Mode
Under the Command tab, type in “export map” in the search menu. Under file, click and hold the “Export Map” command and drag it to the File tab on the main desktop interface. Drop it in the tab. Two ...
You should focus your question as much as possible. I this case, I suppose that you actually want to know how to calculate EVI? Also, make sure you have a fully functional script, ideally with a link to the Earth Engine Code Editor script (use the Get Link button). Here, UStracts is undefined, so I cannot execute your script.
Here's one way to calculate EVI:
Whenever you perform a reduction on an image collection, such as sentinel5p.mean(), the result does not have the default projection from the input. This is because image collections often have images with many different projections (because satellites may pass over the same location from different angles, producing different pixel grids), and Earth Engine's ....
From documentation you can see that the spatial resolution is a string type.
Since in GEE you can specify the spatial resolution quite easily, I suggest just specifying the scale manually in the export function like this:
Use opt.fieldValueConverter = QgsVectorFileWriter.FieldValueConverter() instead of opt.fieldValueConverter = QgsVectorFileWriter.FieldValueConverter as it's a class not an enum
I've tested below code and it works without failure/crash (QGIS 3.16 on Ubuntu 18.04). The only difference with your script are: did not change in options actionOnExistingFile, set ...
You can achieve some kind of transparency effect using Blending modes - see documentation. You have to set blending mode for the layer, not the feature. You can experiment with the different options - in the following example, I used multipy, but also darker would give good results:
This code worked for me
mxd = arcpy.mapping.MapDocument("CURRENT")
df = arcpy.mapping.ListDataFrames(mxd, "Layers")
for pageNum in range(1, mxd.dataDrivenPages.pageCount + 1):
mxd.dataDrivenPages.currentPageID = pageNum
pageName = mxd.dataDrivenPages.pageRow.CoupeID3
This could happen because the changed area contains more S2 images naturally making computation take longer time as well.
Also, if you only need to export the results, than you can remove the unnecessary lines in script, such as Map.addLayer(sent1RGB);
There are two things going on here I think:
there is a difference between relative and absolute paths:
/tmp/ is an absolute path, relative to the root directory.
results/... is relative to the directory you are in. This is the same as ./results
indeed, you cannot store a file to a folder that doesn't exist yet. thread In stead, you should:
create the ...
I solved this problem:
1st Set main project projection to (WGS 84 EPSG:3395)
2nd all images to (EPSG:4326 WGS 84)
3rd in layout manager I use (use project CRS)
and Finally I rest the Extents parameters to my AOI
and everything back to normal
Many thanks you all
In GIS, scale is usually expressed as a ratio. So you just need to work out the ratio of the scale you want. 1" = 100', for example, would be a scale (ratio) of 1:1200 (1 inch = 1200 inches), so if you set your scale in GIS to 1:1200, then your printed map will be at a scale of 1:1200. How you communicate that to the map reader is up to you, I don't ...