Monday, 30 May 2016

landsat 8 - Apply a cloud mask to a Landsat8 collection in Google Earth Engine - time series




I have tried to apply a cloud mask for a landsat 8 collection using code1, code2, and code3 but none will work.


code1 encounters the error of not working even after changing


var mask = img.select(['cfmask']).neq(4) to


var mask = img.select(['pizel_qa_bands']).neq(3)


code2 encounters the problem of not being a time series dataset. I want to be able to extract pixel values for each image over a period of time but this code only gives one output of pixel values.


and I can't adapt my script to code3.


Here is my script and all i want to do is remove the clouds and cloud cover from a Landsat8 image collection


var l8_mayo = ee.ImageCollection('LANDSAT/LC08/C01/T1_TOA')
.filterDate('2000-01-01', '2018-12-31')
.filter(ee.Filter.eq('WRS_PATH', 208))

.filter(ee.Filter.eq('WRS_ROW', 23));

var visParams = {bands: ['B4', 'B3', 'B2'], max: 0.3};
Map.setCenter(-9, 53, 8);
Map.addLayer(l8_mayo, visParams, 'l8_mayo collection');`

Answer



code2 works. Adapt it properly with right parameters (Always check metadata):


var l8_mayo = ee.ImageCollection('LANDSAT/LC08/C01/T1_TOA')
.filterDate('2000-01-01', '2018-12-31')
.filter(ee.Filter.eq('WRS_PATH', 208))

.filter(ee.Filter.eq('WRS_ROW', 23));

var visParams = {bands: ['B4', 'B3', 'B2'], max: 0.3};
Map.setCenter(-9, 53, 8);
Map.addLayer(l8_mayo, visParams, 'l8_mayo collection');

var getQABits = function(image, start, end, newName) {
// Compute the bits we need to extract.
var pattern = 0;
for (var i = start; i <= end; i++) {

pattern += Math.pow(2, i);
}
// Return a single band image of the extracted QA bits, giving the band
// a new name.
return image.select([0], [newName])
.bitwiseAnd(pattern)
.rightShift(start);
};

// A function to mask out cloudy pixels.

var cloud_shadows = function(image) {
// Select the QA band.
var QA = image.select(['BQA']);
// Get the internal_cloud_algorithm_flag bit.
return getQABits(QA, 7,8, 'Cloud_shadows').eq(1);
// Return an image masking out cloudy areas.
};

// A function to mask out cloudy pixels.
var clouds = function(image) {

// Select the QA band.
var QA = image.select(['BQA']);
// Get the internal_cloud_algorithm_flag bit.
return getQABits(QA, 4,4, 'Cloud').eq(0);
// Return an image masking out cloudy areas.
};

var maskClouds = function(image) {
var cs = cloud_shadows(image);
var c = clouds(image);

image = image.updateMask(cs);
return image.updateMask(c);
};

var l8_mayo_free = l8_mayo.map(maskClouds);

Map.addLayer(l8_mayo_free, visParams, 'l8_mayo collection without clouds');

Link: https://code.earthengine.google.com/44cb99f8210800462da56640a275e674


There are some areas with cloud borders in image collection. Is a very cloudy area. BQA isn't perfect



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