GEE- When I mask two years landsat image with one year data, the error: If one image has no bands, the other...

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GEE- When I mask two years landsat image with one year data, the error: If one image has no bands, the other must also have no bands. Got 0 and 1



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I would like to mask the one year Landsat 5 surface reflectance data with two years landsat 5 surface reflectace data with every 15 days. However, I cannot mask successfully if the one year Landsat 5 sr data not include any image.
I use this code as following:
// Load a collection of Landsat 5 surface reflectance images.
var L5coll = ee.ImageCollection('LANDSAT/LT05/C01/T1_SR')



// Load BOUND
var BOUND = ee.Geometry.Rectangle(108.68, 35.61, 108.93, 35.55);
Map.addLayer (BOUND)



// Add NDVI band to image.
var addNDVI = function(image) {
var ndvi = image.normalizedDifference(['B4', 'B3']).rename('NDVI');
return image.addBands(ndvi);
};



// Remove cloud for Landsat surface reflectance data
function maskL5sr(image) {
// Bits 3 and 5 are cloud shadow and cloud, respectively.
var cloudShadowBitMask = (1 << 3);
var cloudsBitMask = (1 << 5);
// Get the pixel QA band.
var qa = image.select('pixel_qa');
// Both flags should be set to zero, indicating clear conditions.
var mask = qa.bitwiseAnd(cloudShadowBitMask).eq(0)
.and(qa.bitwiseAnd(cloudsBitMask).eq(0))
return image.updateMask(mask);
}



// Calculate the basic NDVI (one year)
var Oneyear = L5coll
// return L5coll
.filterBounds(BOUND)
.filterDate('1987-02-01','1987-02-15')
.map(maskL5sr)
.map(addNDVI)
.select('NDVI')
.max();
print (Oneyear,'Oneyear')
Map.addLayer (Oneyear,{},'Oneyear')



// Calculate the two years ndvi (have same days with 'basicndvi').
var Twoyears = L5coll
.filterDate('1986-02-01','1987-02-15')
.filterBounds(BOUND)
.map(addNDVI)
.map(maskL5sr)
.select('NDVI')
.max();
print (Twoyears ,'Twoyears ')
Map.addLayer (Twoyears ,{},'Twoyears')



// Seperating composite into two parts: exist value is origin value, null value is 0
var divide = Oneyear.mask(1).rename('Oneyear')



// Calculate finalndvi through replace the value is 0 of Oneyear into climatology
var finalndvi = (divide.where(divide.eq(0),Twoyears));



print (finalndvi,'finalndvi')
Map.addLayer (finalndvi,{},'finalndvi')



// Seperating finalndvi into two parts: exist value is 1, null value is 0
var mask = finalndvi.mask().rename('mask');



// Calculate the area through multiply pixelArea by mask
var area = ee.Image.pixelArea().multiply(mask).rename('area');



// Calculate the pixelarea as a proportion of the area of the study area.
var percent = area.divide(300).divide(10000).rename('percent');



// Sum the percent in the study area.
var calculate = percent.reduceRegion({
reducer:ee.Reducer.sum(),
geometry:BOUND,
scale:30,
maxPixels:1e9
});



// Change the calculate into Number.
var percentnumber = ee.Number(calculate.get('percent'))



var ndviwithpercent = finalndvi.set('percentnumber',percentnumber)



print (ndviwithpercent,'ndviwithpercent')
Map.addLayer (ndviwithpercent,{},'ndviwithpercent')









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Chenlu Huang is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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    I would like to mask the one year Landsat 5 surface reflectance data with two years landsat 5 surface reflectace data with every 15 days. However, I cannot mask successfully if the one year Landsat 5 sr data not include any image.
    I use this code as following:
    // Load a collection of Landsat 5 surface reflectance images.
    var L5coll = ee.ImageCollection('LANDSAT/LT05/C01/T1_SR')



    // Load BOUND
    var BOUND = ee.Geometry.Rectangle(108.68, 35.61, 108.93, 35.55);
    Map.addLayer (BOUND)



    // Add NDVI band to image.
    var addNDVI = function(image) {
    var ndvi = image.normalizedDifference(['B4', 'B3']).rename('NDVI');
    return image.addBands(ndvi);
    };



    // Remove cloud for Landsat surface reflectance data
    function maskL5sr(image) {
    // Bits 3 and 5 are cloud shadow and cloud, respectively.
    var cloudShadowBitMask = (1 << 3);
    var cloudsBitMask = (1 << 5);
    // Get the pixel QA band.
    var qa = image.select('pixel_qa');
    // Both flags should be set to zero, indicating clear conditions.
    var mask = qa.bitwiseAnd(cloudShadowBitMask).eq(0)
    .and(qa.bitwiseAnd(cloudsBitMask).eq(0))
    return image.updateMask(mask);
    }



    // Calculate the basic NDVI (one year)
    var Oneyear = L5coll
    // return L5coll
    .filterBounds(BOUND)
    .filterDate('1987-02-01','1987-02-15')
    .map(maskL5sr)
    .map(addNDVI)
    .select('NDVI')
    .max();
    print (Oneyear,'Oneyear')
    Map.addLayer (Oneyear,{},'Oneyear')



    // Calculate the two years ndvi (have same days with 'basicndvi').
    var Twoyears = L5coll
    .filterDate('1986-02-01','1987-02-15')
    .filterBounds(BOUND)
    .map(addNDVI)
    .map(maskL5sr)
    .select('NDVI')
    .max();
    print (Twoyears ,'Twoyears ')
    Map.addLayer (Twoyears ,{},'Twoyears')



    // Seperating composite into two parts: exist value is origin value, null value is 0
    var divide = Oneyear.mask(1).rename('Oneyear')



    // Calculate finalndvi through replace the value is 0 of Oneyear into climatology
    var finalndvi = (divide.where(divide.eq(0),Twoyears));



    print (finalndvi,'finalndvi')
    Map.addLayer (finalndvi,{},'finalndvi')



    // Seperating finalndvi into two parts: exist value is 1, null value is 0
    var mask = finalndvi.mask().rename('mask');



    // Calculate the area through multiply pixelArea by mask
    var area = ee.Image.pixelArea().multiply(mask).rename('area');



    // Calculate the pixelarea as a proportion of the area of the study area.
    var percent = area.divide(300).divide(10000).rename('percent');



    // Sum the percent in the study area.
    var calculate = percent.reduceRegion({
    reducer:ee.Reducer.sum(),
    geometry:BOUND,
    scale:30,
    maxPixels:1e9
    });



    // Change the calculate into Number.
    var percentnumber = ee.Number(calculate.get('percent'))



    var ndviwithpercent = finalndvi.set('percentnumber',percentnumber)



    print (ndviwithpercent,'ndviwithpercent')
    Map.addLayer (ndviwithpercent,{},'ndviwithpercent')









    share







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    Chenlu Huang is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.























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      I would like to mask the one year Landsat 5 surface reflectance data with two years landsat 5 surface reflectace data with every 15 days. However, I cannot mask successfully if the one year Landsat 5 sr data not include any image.
      I use this code as following:
      // Load a collection of Landsat 5 surface reflectance images.
      var L5coll = ee.ImageCollection('LANDSAT/LT05/C01/T1_SR')



      // Load BOUND
      var BOUND = ee.Geometry.Rectangle(108.68, 35.61, 108.93, 35.55);
      Map.addLayer (BOUND)



      // Add NDVI band to image.
      var addNDVI = function(image) {
      var ndvi = image.normalizedDifference(['B4', 'B3']).rename('NDVI');
      return image.addBands(ndvi);
      };



      // Remove cloud for Landsat surface reflectance data
      function maskL5sr(image) {
      // Bits 3 and 5 are cloud shadow and cloud, respectively.
      var cloudShadowBitMask = (1 << 3);
      var cloudsBitMask = (1 << 5);
      // Get the pixel QA band.
      var qa = image.select('pixel_qa');
      // Both flags should be set to zero, indicating clear conditions.
      var mask = qa.bitwiseAnd(cloudShadowBitMask).eq(0)
      .and(qa.bitwiseAnd(cloudsBitMask).eq(0))
      return image.updateMask(mask);
      }



      // Calculate the basic NDVI (one year)
      var Oneyear = L5coll
      // return L5coll
      .filterBounds(BOUND)
      .filterDate('1987-02-01','1987-02-15')
      .map(maskL5sr)
      .map(addNDVI)
      .select('NDVI')
      .max();
      print (Oneyear,'Oneyear')
      Map.addLayer (Oneyear,{},'Oneyear')



      // Calculate the two years ndvi (have same days with 'basicndvi').
      var Twoyears = L5coll
      .filterDate('1986-02-01','1987-02-15')
      .filterBounds(BOUND)
      .map(addNDVI)
      .map(maskL5sr)
      .select('NDVI')
      .max();
      print (Twoyears ,'Twoyears ')
      Map.addLayer (Twoyears ,{},'Twoyears')



      // Seperating composite into two parts: exist value is origin value, null value is 0
      var divide = Oneyear.mask(1).rename('Oneyear')



      // Calculate finalndvi through replace the value is 0 of Oneyear into climatology
      var finalndvi = (divide.where(divide.eq(0),Twoyears));



      print (finalndvi,'finalndvi')
      Map.addLayer (finalndvi,{},'finalndvi')



      // Seperating finalndvi into two parts: exist value is 1, null value is 0
      var mask = finalndvi.mask().rename('mask');



      // Calculate the area through multiply pixelArea by mask
      var area = ee.Image.pixelArea().multiply(mask).rename('area');



      // Calculate the pixelarea as a proportion of the area of the study area.
      var percent = area.divide(300).divide(10000).rename('percent');



      // Sum the percent in the study area.
      var calculate = percent.reduceRegion({
      reducer:ee.Reducer.sum(),
      geometry:BOUND,
      scale:30,
      maxPixels:1e9
      });



      // Change the calculate into Number.
      var percentnumber = ee.Number(calculate.get('percent'))



      var ndviwithpercent = finalndvi.set('percentnumber',percentnumber)



      print (ndviwithpercent,'ndviwithpercent')
      Map.addLayer (ndviwithpercent,{},'ndviwithpercent')









      share







      New contributor




      Chenlu Huang is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.












      I would like to mask the one year Landsat 5 surface reflectance data with two years landsat 5 surface reflectace data with every 15 days. However, I cannot mask successfully if the one year Landsat 5 sr data not include any image.
      I use this code as following:
      // Load a collection of Landsat 5 surface reflectance images.
      var L5coll = ee.ImageCollection('LANDSAT/LT05/C01/T1_SR')



      // Load BOUND
      var BOUND = ee.Geometry.Rectangle(108.68, 35.61, 108.93, 35.55);
      Map.addLayer (BOUND)



      // Add NDVI band to image.
      var addNDVI = function(image) {
      var ndvi = image.normalizedDifference(['B4', 'B3']).rename('NDVI');
      return image.addBands(ndvi);
      };



      // Remove cloud for Landsat surface reflectance data
      function maskL5sr(image) {
      // Bits 3 and 5 are cloud shadow and cloud, respectively.
      var cloudShadowBitMask = (1 << 3);
      var cloudsBitMask = (1 << 5);
      // Get the pixel QA band.
      var qa = image.select('pixel_qa');
      // Both flags should be set to zero, indicating clear conditions.
      var mask = qa.bitwiseAnd(cloudShadowBitMask).eq(0)
      .and(qa.bitwiseAnd(cloudsBitMask).eq(0))
      return image.updateMask(mask);
      }



      // Calculate the basic NDVI (one year)
      var Oneyear = L5coll
      // return L5coll
      .filterBounds(BOUND)
      .filterDate('1987-02-01','1987-02-15')
      .map(maskL5sr)
      .map(addNDVI)
      .select('NDVI')
      .max();
      print (Oneyear,'Oneyear')
      Map.addLayer (Oneyear,{},'Oneyear')



      // Calculate the two years ndvi (have same days with 'basicndvi').
      var Twoyears = L5coll
      .filterDate('1986-02-01','1987-02-15')
      .filterBounds(BOUND)
      .map(addNDVI)
      .map(maskL5sr)
      .select('NDVI')
      .max();
      print (Twoyears ,'Twoyears ')
      Map.addLayer (Twoyears ,{},'Twoyears')



      // Seperating composite into two parts: exist value is origin value, null value is 0
      var divide = Oneyear.mask(1).rename('Oneyear')



      // Calculate finalndvi through replace the value is 0 of Oneyear into climatology
      var finalndvi = (divide.where(divide.eq(0),Twoyears));



      print (finalndvi,'finalndvi')
      Map.addLayer (finalndvi,{},'finalndvi')



      // Seperating finalndvi into two parts: exist value is 1, null value is 0
      var mask = finalndvi.mask().rename('mask');



      // Calculate the area through multiply pixelArea by mask
      var area = ee.Image.pixelArea().multiply(mask).rename('area');



      // Calculate the pixelarea as a proportion of the area of the study area.
      var percent = area.divide(300).divide(10000).rename('percent');



      // Sum the percent in the study area.
      var calculate = percent.reduceRegion({
      reducer:ee.Reducer.sum(),
      geometry:BOUND,
      scale:30,
      maxPixels:1e9
      });



      // Change the calculate into Number.
      var percentnumber = ee.Number(calculate.get('percent'))



      var ndviwithpercent = finalndvi.set('percentnumber',percentnumber)



      print (ndviwithpercent,'ndviwithpercent')
      Map.addLayer (ndviwithpercent,{},'ndviwithpercent')







      landsat ndvi masking band





      share







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      Chenlu Huang is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.










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      Check out our Code of Conduct.








      share



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      asked 1 min ago









      Chenlu HuangChenlu Huang

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      Chenlu Huang is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      Chenlu Huang is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






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