错误

我花了大量时间试图解决这个问题，但我找不到解决办法。开发人员和小组成员，我需要你们的帮助，这是我学习项目的一部分。

原始代码链接：

https://code.earthengine.google.com/ccd8eb582aa520b970f4dee2d5118def 

Image (Error)

Image.select: Pattern 'SR_B1' did not match any bands.

 主要原因是图像中没有匹配到名为'SR_B1'的波段。这可能是因为图像数据中没有包含该波段，或者波段的名称被错误地输入。请检查图像数据是否包含名为'SR_B1'的波段，并确保波段名称的输入正确。

原始代码：

var imageVisParam = {"opacity":1,"bands":["ST_B6"],"min":19.28379128000006,"max":26.389854860000014,"palette":["0e20ff","10ffd3","fff814","ffa706","ff2502"]},
    geometry = 
    /* color: #d63000 */
    /* displayProperties: [
      {
        "type": "rectangle"
      }
    ] */
    ee.Geometry.Polygon(
        [[[33.61825600691496, 8.867477523439437],
          [33.61825600691496, 7.235830807654479],
          [35.96933022566496, 7.235830807654479],
          [35.96933022566496, 8.867477523439437]]], null, false);
Map.addLayer(geometry)
// This example demonstrates the use of the Landsat 5 Collection 2, Level 2 // QA_PIXEL band (CFMask) to mask unwanted pixels.

function maskL5sr(image) {
  // Bit 0 - Fill
  // Bit 1 - Dilated Cloud
  // Bit 2 - Cirrus
  // Bit 3 - Cloud
  // Bit 4 - Cloud Shadow
  var qaMask = image.select('QA_PIXEL').bitwiseAnd(parseInt('11111', 2)).eq(0);
  var saturationMask = image.select('QA_RADSAT').eq(0);

  // Apply the scaling factors to the appropriate bands.
  var opticalBands = image.select('SR_B.').multiply(0.0000275).add(-0.2);
  var thermalBands = image.select('ST_B6').multiply(0.00341802).add(149.0).subtract(273.15);

  // Replace the original bands with the scaled ones and apply the masks.