Masking: Show just values between min and max visualisation parameter

[NiklasJordan]

Hello,
I've created an simple NDVI visualization from the Nile river. I just wanted to show an extremely narrow value range on the image:

def getNDVI(image):
    return image.normalizedDifference(['B4', 'B3'])

# Add Earth Engine dataset
collection = (ee.ImageCollection('COPERNICUS/S2_SR')
              .filterDate("2020-11-01", "2020-12-31")
             )

# Select the median pixel.
image = collection.median()

# Compute NDVI from the scene.
ndvi1 = getNDVI(image)

ndviParams = {'palette': ['#d73027', '#f46d43', '#fdae61',
                          '#fee08b', '#d9ef8b', '#a6d96a', '#66bd63', '#1a9850'],
              'min': -0.03,
              'max': -0.05}

# Select the red, green and blue bands.
Map.centerObject(ndvi1, 10)
Nile.addLayer(ndvi1, ndviParams, 'NDVI')

Result:

Is it possible to set all values below the min and above the max parameter to transparent? The result should be that only the values between the max and min are visible in the layer. Like a mask... in my picture: all red should be transparent.

Thanks for help.
Niklas

PS: For the context: I want show multiple layers in one view to enhance different multiple features in the map.

[giswqs]

Something like this. See https://developers.google.com/earth-engine/guides/image_visualization#masking

mask = ndvi1.gt(-0.05).And(ndvi1.lt(-0.03))
ndvi1 = ndvi1.updateMask(mask)

[NiklasJordan]

Oh great, @giswqs ! Thanks for your help...

For all, who are interested in the whole solution:

def getNDVI(image):
    return image.normalizedDifference(['B4', 'B3'])

def getNDWI(image):
    return image.normalizedDifference(['B3', 'B8A'])

# Add Earth Engine dataset
collection = (ee.ImageCollection('COPERNICUS/S2_SR')
              .filterDate("2020-11-01", "2020-12-31")
             )

# Compute NDVI from the scene.
ndvi1 = getNDVI(image)
ndviParams = {'palette': ['#1a9850', '#1a9850'],
              'min': -0.03,
              'max': -0.05}

# Compute NDWI from the scene.
ndwi1 = getNDWI(image)
ndwiParams = {'palette': ['#165FD4', '#165FD4'],
              'min': 0,
              'max': 1}

# Masking vegetation
mask_ndvi = ndvi1.gte(-1).And(ndvi1.lte(0.1))
masked_ndvi = ndvi1.updateMask(mask_ndvi)

# Masking Nile
mask_ndwi = ndwi1.gte(0.2)
masked_ndwi = ndwi1.updateMask(mask_ndwi)

# Center the map ob object
Map.centerObject(ndvi1, 10)

# Add NDWI and NDVI to map
Nile.addLayer(masked_ndvi, ndviParams, 'NDVI')
Nile.addLayer(masked_ndwi, ndwiParams, 'NDWI')
Nile

This is the result:

Green is the vegetation, red the Nile river and the rest is transparent.