自 2024 年 2 月 7 日起，GEE 上将不再提供 Sentinel-2 数据

Question

我想分析 Sentinel-2 从 1 月至今的数据，但该数据只能在 2024 年 2 月 7 日之前访问。以下是用于以 RGB 形式可视化 Sentinel-2 数据的 GEE 代码示例，该代码仅在该日期之前有效。有谁知道发生了什么事或如何解决这个问题？预先感谢您的帮助。

/**
 * Function to mask clouds using the Sentinel-2 QA band
 * @param {ee.Image} image Sentinel-2 image
 * @return {ee.Image} cloud masked Sentinel-2 image
 */
function maskS2clouds(image) {
  var qa = image.select('QA60');

  // Bits 10 and 11 are clouds and cirrus, respectively.
  var cloudBitMask = 1 << 10;
  var cirrusBitMask = 1 << 11;

  // 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).divide(10000);
}

var dataset = ee.ImageCollection('COPERNICUS/S2_SR_HARMONIZED')
                  .filterDate('2024-03-01', '2024-03-30')
                  // Pre-filter to get less cloudy granules.
                  .filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE',20))
                  .map(maskS2clouds);

var visualization = {
  min: 0.0,
  max: 0.3,
  bands: ['B4', 'B3', 'B2'],
};

Map.setCenter(83.277, 17.7009, 12);

Map.addLayer(dataset.mean(), visualization, 'RGB');

      

我尝试过以前的系列，但也不起作用。

Answer 1

数据似乎在那里，但云遮蔽例程和/或图像缩放已更改。尝试评论云遮罩并更改调色板中的值范围以查看图像

/**
 * Function to mask clouds using the Sentinel-2 QA band
 * @param {ee.Image} image Sentinel-2 image
 * @return {ee.Image} cloud masked Sentinel-2 image
 */
function maskS2clouds(image) {
  var qa = image.select('QA60');

  // Bits 10 and 11 are clouds and cirrus, respectively.
  var cloudBitMask = 1 << 10;
  var cirrusBitMask = 1 << 11;

  // 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).divide(10000);
}

var dataset = ee.ImageCollection('COPERNICUS/S2_SR_HARMONIZED')
                  .filterDate('2024-04-20', '2024-05-30')
                  // Pre-filter to get less cloudy granules.
                  .filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE',20))
                  // .map(maskS2clouds)
                  ;

var visualization = {
  min: 0.0,
  max: 5000,
  bands: ['B4', 'B3', 'B2'],
};

Map.setCenter(83.277, 17.7009, 12);

Map.addLayer(dataset.mean(), visualization, 'RGB');