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Why are there holes in the resulting map of median reflectance values from Sentinel2 imagery on GEE?

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1

I don not understand why are there holes in the resulting map of median reflectance values from S2 imagery on GEE and how do I fix it?

Also, why are all the clouds not getting masked?

//Function for masking clouds
// http://xzsunbest.tk/2018/07/05/MaskingOutCloudInSentinel2WithGEE/
// Bits 10 and 11 are clouds and cirrus, respectively.

var cloudBitMask = ee.Number(2).pow(10).int();

var cirrusBitMask = ee.Number(2).pow(11).int();

// Simple cloudMask function for Sentinel-2 based on QA band 

function cloudmask(image) {

var qa = image.select('QA60');

// Both flags should be set to zero, indicating clear conditions.

 var mask = qa.bitwiseAnd(cloudBitMask).eq(0).and(

       qa.bitwiseAnd(cirrusBitMask).eq(0));

       return image.updateMask(mask);

}



var filtered =  sentinel2.filterBounds(asset).filterDate('2015-01-01','2015-12-31'); //asset is Papua and West Papua i.e Indonesian side of PNG

print('Filtered (by date and ROI) Image Count: ', filtered.size()); //247 



// apply the function on the image collection

var clipped = filtered.map(cloudmask);

print('Filtered and Masked Image Count: ', clipped.size());//247



// Make a composite image

var medianComp = clipped.median();

Map.addLayer(medianComp, {bands:['B4','B3','B2'], min: 0, max: 3500}, 'true color median composite', 0);

google-earth-engine sentinel-2

share|improve this question

edited 15 hours ago

tg110

asked 16 hours ago

tg110tg110

357110

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  I tried filtering images in the collection by the cloudy pixel percentage and a lot of the worst images were removed, but even then there is still a great deal of haze. I wonder how effective the cloud masks are with fog. Given the humidity on PNG that could be part of the problem. See the code below for my approach (mostly inspired by @rodrigo-e-principe) code.earthengine.google.com/900484fc1311a67696dd801b9b49b75d
  
  – JepsonNomad
  10 hours ago
  

  
  
  
  

add a comment | 

1

I don not understand why are there holes in the resulting map of median reflectance values from S2 imagery on GEE and how do I fix it?

Also, why are all the clouds not getting masked?

//Function for masking clouds
// http://xzsunbest.tk/2018/07/05/MaskingOutCloudInSentinel2WithGEE/
// Bits 10 and 11 are clouds and cirrus, respectively.

var cloudBitMask = ee.Number(2).pow(10).int();

var cirrusBitMask = ee.Number(2).pow(11).int();

// Simple cloudMask function for Sentinel-2 based on QA band 

function cloudmask(image) {

var qa = image.select('QA60');

// Both flags should be set to zero, indicating clear conditions.

 var mask = qa.bitwiseAnd(cloudBitMask).eq(0).and(

       qa.bitwiseAnd(cirrusBitMask).eq(0));

       return image.updateMask(mask);

}



var filtered =  sentinel2.filterBounds(asset).filterDate('2015-01-01','2015-12-31'); //asset is Papua and West Papua i.e Indonesian side of PNG

print('Filtered (by date and ROI) Image Count: ', filtered.size()); //247 



// apply the function on the image collection

var clipped = filtered.map(cloudmask);

print('Filtered and Masked Image Count: ', clipped.size());//247



// Make a composite image

var medianComp = clipped.median();

Map.addLayer(medianComp, {bands:['B4','B3','B2'], min: 0, max: 3500}, 'true color median composite', 0);

google-earth-engine sentinel-2

share|improve this question

edited 15 hours ago

tg110

asked 16 hours ago

tg110tg110

357110

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  I tried filtering images in the collection by the cloudy pixel percentage and a lot of the worst images were removed, but even then there is still a great deal of haze. I wonder how effective the cloud masks are with fog. Given the humidity on PNG that could be part of the problem. See the code below for my approach (mostly inspired by @rodrigo-e-principe) code.earthengine.google.com/900484fc1311a67696dd801b9b49b75d
  
  – JepsonNomad
  10 hours ago
  

  
  
  
  

add a comment | 

I don not understand why are there holes in the resulting map of median reflectance values from S2 imagery on GEE and how do I fix it?

Also, why are all the clouds not getting masked?

//Function for masking clouds
// http://xzsunbest.tk/2018/07/05/MaskingOutCloudInSentinel2WithGEE/
// Bits 10 and 11 are clouds and cirrus, respectively.

var cloudBitMask = ee.Number(2).pow(10).int();

var cirrusBitMask = ee.Number(2).pow(11).int();

// Simple cloudMask function for Sentinel-2 based on QA band 

function cloudmask(image) {

var qa = image.select('QA60');

// Both flags should be set to zero, indicating clear conditions.

 var mask = qa.bitwiseAnd(cloudBitMask).eq(0).and(

       qa.bitwiseAnd(cirrusBitMask).eq(0));

       return image.updateMask(mask);

}



var filtered =  sentinel2.filterBounds(asset).filterDate('2015-01-01','2015-12-31'); //asset is Papua and West Papua i.e Indonesian side of PNG

print('Filtered (by date and ROI) Image Count: ', filtered.size()); //247 



// apply the function on the image collection

var clipped = filtered.map(cloudmask);

print('Filtered and Masked Image Count: ', clipped.size());//247



// Make a composite image

var medianComp = clipped.median();

Map.addLayer(medianComp, {bands:['B4','B3','B2'], min: 0, max: 3500}, 'true color median composite', 0);

google-earth-engine sentinel-2

share|improve this question

edited 15 hours ago

tg110

asked 16 hours ago

tg110tg110

357110

var cloudBitMask = ee.Number(2).pow(10).int();

var cirrusBitMask = ee.Number(2).pow(11).int();

// Simple cloudMask function for Sentinel-2 based on QA band 

function cloudmask(image) {

var qa = image.select('QA60');

// Both flags should be set to zero, indicating clear conditions.

 var mask = qa.bitwiseAnd(cloudBitMask).eq(0).and(

       qa.bitwiseAnd(cirrusBitMask).eq(0));

       return image.updateMask(mask);

}



var filtered =  sentinel2.filterBounds(asset).filterDate('2015-01-01','2015-12-31'); //asset is Papua and West Papua i.e Indonesian side of PNG

print('Filtered (by date and ROI) Image Count: ', filtered.size()); //247 



// apply the function on the image collection

var clipped = filtered.map(cloudmask);

print('Filtered and Masked Image Count: ', clipped.size());//247



// Make a composite image

var medianComp = clipped.median();

Map.addLayer(medianComp, {bands:['B4','B3','B2'], min: 0, max: 3500}, 'true color median composite', 0);

share|improve this question

edited 15 hours ago

tg110

asked 16 hours ago

tg110tg110

357110

share|improve this question

edited 15 hours ago

tg110

asked 16 hours ago

tg110tg110

357110

asked 16 hours ago

tg110tg110

357110

asked 16 hours ago

tg110tg110

357110