Google Earth Engine——GOES-16/17 MCMIPM Series ABI Level 2 这些波段支持云、植被、雪/冰和气溶胶的特征。
Google Earth Engine——GOES-16/17 MCMIPM Series ABI Level 2 这些波段支持云、植被、雪/冰和气溶胶的特征。
GOES satellites are geostationary weather satellites run by NOAA.
The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature at the Top-Of-Atmosphere (TOA) is measured in Kelvin. These bands support the characterization of the surface, clouds, water vapor, ozone, volcanic ash, and dust based on emissive properties.
The locations of domains 1 and 2 change over time.
GOES卫星是由NOAA管理的地球静止气象卫星。
云层和水分图像产品的分辨率都是2公里。1-6波段是反射的。无尺寸的 "反射系数 "数量是以太阳天顶角为标准的。这些波段支持云、植被、雪/冰和气溶胶的特征。频段7-16是发射型的。大气层顶部（TOA）的亮度温度以开尔文测量。这些波段支持根据发射特性对地表、云层、水汽、臭氧、火山灰和灰尘进行描述。
域1和域2的位置随时间变化。
Dataset Availability
2017-07-10T00:00:00 - 2021-09-30T00:00:00
Dataset Provider
Collection Snippet
ee.ImageCollection("NOAA/GOES/16/MCMIPM")
Resolution
2000 meters
Bands Table
Name | Description | Min | Max | Units | Wavelength |
|---|---|---|---|---|---|
CMI_C01 | Visible - Blue Daytime aerosol over land, coastal water mapping. | 0 | 1.3 | Reflectance factor | 0.45-0.49µm |
DQF_C01 | Data quality flags | 0 | 4 | ||
CMI_C02 | Visible - Red Daytime clouds, fog, insolation, winds | 0 | 1.3 | Reflectance factor | 0.59-0.69µm |
DQF_C02 | Data quality flags | 0 | 4 | ||
CMI_C03 | Near-IR - Veggie Daytime vegetation, burn scar, aerosol over water, winds | 0 | 1.3 | Reflectance factor | 0.846-0.885µm |
DQF_C03 | Data quality flags | 0 | 4 | ||
CMI_C04 | Near-IR - Cirrus Daytime cirrus cloud | 0 | 1.3 | Reflectance factor | 1.371-1.386µm |
DQF_C04 | Data quality flags | 0 | 4 | ||
CMI_C05 | Near-IR - Snow/Ice Daytime cloud-top phase and particle size, snow | 0 | 1.3 | Reflectance factor | 1.58-1.64µm |
DQF_C05 | Data quality flags | 0 | 4 | ||
CMI_C06 | Near IR - Cloud Particle Size Daytime land, cloud properties, particle size, vegetation, snow | 0 | 1.3 | Reflectance factor | 2.225-2.275µm |
DQF_C06 | Data quality flags | 0 | 4 | ||
CMI_C07 | Infrared - Shortwave Window Brightness | 197.31 | 411.86 | K | 3.80-4.00µm |
DQF_C07 | Data quality flags | 0 | 4 | ||
CMI_C08 | Infrared - Upper-level water vapor High-level atmospheric water vapor, winds, rainfall Brightness | 138.05 | 311.06 | K | 5.77-6.6µm |
DQF_C08 | Data quality flags | 0 | 4 | ||
CMI_C09 | Infrared - Mid-level water vapor Mid-level atmospheric water vapor, winds, rainfall Brightness | 137.7 | 311.08 | K | 6.75-7.15µm |
DQF_C09 | Data quality flags | 0 | 4 | ||
CMI_C10 | Infrared - Lower-level water vapor Lower-level water vapor, winds, and sulfur dioxide Brightness | 126.91 | 331.2 | K | 7.24-7.44µm |
DQF_C10 | Data quality flags | 0 | 4 | ||
CMI_C11 | Infrared - Cloud-top phase Total water for stability, cloud phase, dust, sulfur dioxide, rainfall Brightness | 127.69 | 341.3 | K | 8.3-8.7µm |
DQF_C11 | Data quality flags | 0 | 4 | ||
CMI_C12 | Infrared - Ozone Total ozone, turbulence, winds | 117.49 | 311.06 | K | 9.42-9.8µm |
DQF_C12 | Data quality flags | 0 | 4 | ||
CMI_C13 | Infrared - \"Clean\" longwave window Surface and clouds Brightness | 89.62 | 341.27 | K | 10.1-10.6µm |
DQF_C13 | Data quality flags | 0 | 4 | ||
CMI_C14 | Infrared - Longwave window Imagery, sea surface temperature, clouds, rainfall Brightness | 96.19 | 341.28 | K | 10.8-11.6µm |
DQF_C14 | Data quality flags | 0 | 4 | ||
CMI_C15 | Infrared \"Dirty\" longwave Total water, volcanic ash, sea surface temperature Brightness | 97.38 | 341.28 | K | 11.8-12.8µm |
DQF_C15 | Data quality flags | 0 | 4 | ||
CMI_C16 | Infrared - CO_2 longwave Air temperature, cloud heights Brightness | 92.7 | 318.26 | K | 13.0-13.6µm |
DQF_C16 | Data quality flags | 0 | 4 |
Class Table: DQF_C01
Value | Color | Color Value | Description |
|---|---|---|---|
0 | #ffffff | Good pixels | |
1 | #ff00ff | Conditionally usable pixels | |
2 | #0000ff | Out of range pixels | |
3 | #00ffff | No value pixels | |
4 | #ffff00 | Focal plane temperature threshold exceeded |
Class Table: DQF_C02
Value | Color | Color Value | Description |
|---|---|---|---|
0 | #ffffff | Good pixels | |
1 | #ff00ff | Conditionally usable pixels | |
2 | #0000ff | Out of range pixels | |
3 | #00ffff | No value pixels | |
4 | #ffff00 | Focal plane temperature threshold exceeded |
Class Table: DQF_C03
Value | Color | Color Value | Description |
|---|---|---|---|
0 | #ffffff | Good pixels | |
1 | #ff00ff | Conditionally usable pixels | |
2 | #0000ff | Out of range pixels | |
3 | #00ffff | No value pixels | |
4 | #ffff00 | Focal plane temperature threshold exceeded |
Class Table: DQF_C04
Value | Color | Color Value | Description |
|---|---|---|---|
0 | #ffffff | Good pixels | |
1 | #ff00ff | Conditionally usable pixels | |
2 | #0000ff | Out of range pixels | |
3 | #00ffff | No value pixels | |
4 | #ffff00 | Focal plane temperature threshold exceeded |
Class Table: DQF_C05
Value | Color | Color Value | Description |
|---|---|---|---|
0 | #ffffff | Good pixels | |
1 | #ff00ff | Conditionally usable pixels | |
2 | #0000ff | Out of range pixels | |
3 | #00ffff | No value pixels | |
4 | #ffff00 | Focal plane temperature threshold exceeded |
Class Table: DQF_C06
Value | Color | Color Value | Description |
|---|---|---|---|
0 | #ffffff | Good pixels | |
1 | #ff00ff | Conditionally usable pixels | |
2 | #0000ff | Out of range pixels | |
3 | #00ffff | No value pixels | |
4 | #ffff00 | Focal plane temperature threshold exceeded |
Class Table: DQF_C07
Value | Color | Color Value | Description |
|---|---|---|---|
0 | #ffffff | Good pixels | |
1 | #ff00ff | Conditionally usable pixels | |
2 | #0000ff | Out of range pixels | |
3 | #00ffff | No value pixels | |
4 | #ffff00 | Focal plane temperature threshold exceeded |
Class Table: DQF_C08
Value | Color | Color Value | Description |
|---|---|---|---|
0 | #ffffff | Good pixels | |
1 | #ff00ff | Conditionally usable pixels | |
2 | #0000ff | Out of range pixels | |
3 | #00ffff | No value pixels | |
4 | #ffff00 | Focal plane temperature threshold exceeded |
Class Table: DQF_C09
Value | Color | Color Value | Description |
|---|---|---|---|
0 | #ffffff | Good pixels | |
1 | #ff00ff | Conditionally usable pixels | |
2 | #0000ff | Out of range pixels | |
3 | #00ffff | No value pixels | |
4 | #ffff00 | Focal plane temperature threshold exceeded |
Class Table: DQF_C10
Value | Color | Color Value | Description |
|---|---|---|---|
0 | #ffffff | Good pixels | |
1 | #ff00ff | Conditionally usable pixels | |
2 | #0000ff | Out of range pixels | |
3 | #00ffff | No value pixels | |
4 | #ffff00 | Focal plane temperature threshold exceeded |
Class Table: DQF_C11
Value | Color | Color Value | Description |
|---|---|---|---|
0 | #ffffff | Good pixels | |
1 | #ff00ff | Conditionally usable pixels | |
2 | #0000ff | Out of range pixels | |
3 | #00ffff | No value pixels | |
4 | #ffff00 | Focal plane temperature threshold exceeded |
Class Table: DQF_C12
Value | Color | Color Value | Description |
|---|---|---|---|
0 | #ffffff | Good pixels | |
1 | #ff00ff | Conditionally usable pixels | |
2 | #0000ff | Out of range pixels | |
3 | #00ffff | No value pixels | |
4 | #ffff00 | Focal plane temperature threshold exceeded |
Class Table: DQF_C13
Value | Color | Color Value | Description |
|---|---|---|---|
0 | #ffffff | Good pixels | |
1 | #ff00ff | Conditionally usable pixels | |
2 | #0000ff | Out of range pixels | |
3 | #00ffff | No value pixels | |
4 | #ffff00 | Focal plane temperature threshold exceeded |
Class Table: DQF_C14
Value | Color | Color Value | Description |
|---|---|---|---|
0 | #ffffff | Good pixels | |
1 | #ff00ff | Conditionally usable pixels | |
2 | #0000ff | Out of range pixels | |
3 | #00ffff | No value pixels | |
4 | #ffff00 | Focal plane temperature threshold exceeded |
Class Table: DQF_C15
Value | Color | Color Value | Description |
|---|---|---|---|
0 | #ffffff | Good pixels | |
1 | #ff00ff | Conditionally usable pixels | |
2 | #0000ff | Out of range pixels | |
3 | #00ffff | No value pixels | |
4 | #ffff00 | Focal plane temperature threshold exceeded |
Class Table: DQF_C16
Value | Color | Color Value | Description |
|---|---|---|---|
0 | #ffffff | Good pixels | |
1 | #ff00ff | Conditionally usable pixels | |
2 | #0000ff | Out of range pixels | |
3 | #00ffff | No value pixels | |
4 | #ffff00 | Focal plane temperature threshold exceeded |
影像属性：
Name | Type | Description |
|---|---|---|
CMI_C01_offset | Double | Offset to add to scaled CMI_C01 values |
CMI_C01_scale | Double | Scale to multiply with raw CMI_C01 values |
CMI_C02_offset | Double | Offset to add to scaled CMI_C02 values |
CMI_C02_scale | Double | Scale to multiply with raw CMI_C02 values |
CMI_C03_offset | Double | Offset to add to scaled CMI_C03 values |
CMI_C03_scale | Double | Scale to multiply with raw CMI_C03 values |
CMI_C04_offset | Double | Offset to add to scaled CMI_C04 values |
CMI_C04_scale | Double | Scale to multiply with raw CMI_C04 values |
CMI_C05_offset | Double | Offset to add to scaled CMI_C05 values |
CMI_C05_scale | Double | Scale to multiply with raw CMI_C05 values |
CMI_C06_offset | Double | Offset to add to scaled CMI_C06 values |
CMI_C06_scale | Double | Scale to multiply with raw CMI_C06 values |
CMI_C07_offset | Double | Offset to add to scaled CMI_C07 values |
CMI_C07_scale | Double | Scale to multiply with raw CMI_C07 values |
CMI_C08_offset | Double | Offset to add to scaled CMI_C08 values |
CMI_C08_scale | Double | Scale to multiply with raw CMI_C08 values |
CMI_C09_offset | Double | Offset to add to scaled CMI_C09 values |
CMI_C09_scale | Double | Scale to multiply with raw CMI_C09 values |
CMI_C10_offset | Double | Offset to add to scaled CMI_C10 values |
CMI_C10_scale | Double | Scale to multiply with raw CMI_C10 values |
CMI_C11_offset | Double | Offset to add to scaled CMI_C11 values |
CMI_C11_scale | Double | Scale to multiply with raw CMI_C11 values |
CMI_C12_offset | Double | Offset to add to scaled CMI_C12 values |
CMI_C12_scale | Double | Scale to multiply with raw CMI_C12 values |
CMI_C13_offset | Double | Offset to add to scaled CMI_C13 values |
CMI_C13_scale | Double | Scale to multiply with raw CMI_C13 values |
CMI_C14_offset | Double | Offset to add to scaled CMI_C14 values |
CMI_C14_scale | Double | Scale to multiply with raw CMI_C14 values |
CMI_C15_offset | Double | Offset to add to scaled CMI_C15 values |
CMI_C15_scale | Double | Scale to multiply with raw CMI_C15 values |
CMI_C16_offset | Double | Offset to add to scaled CMI_C16 values |
CMI_C16_scale | Double | Scale to multiply with raw CMI_C16 values |
影像说明：
NOAA data, information, and products, regardless of the method of delivery, are not subject to copyright and carry no restrictions on their subsequent use by the public. Once obtained, they may be put to any lawful use.
数据引用：
Bah, Gunshor, Schmit, Generation of GOES-16 True Color Imagery without a Green Band, 2018. doi:10.1029/2018EA000379
Product User Guide (PUG) Volume 5, L2+ Products.
Schmit, T., Griffith, P., et al, (2016), A closer look at the ABI on the GOES-R series, Bull. Amer. Meteor. Soc., 98(4), 681-698.
代码：
// Demonstrates displaying GOES-16 Mesoscale images.
// Band names.
var BLUE = 'CMI_C01';
var RED = 'CMI_C02';
var VEGGIE = 'CMI_C03';
var GREEN = 'GREEN';
/**
* Properly scales an MCMIPM image.
*
* @param {ee.Image} image An unaltered MCMIPM image.
* @return {ee.Image}
*/
var applyScaleAndOffset = function(image) {
var names = image.select('CMI_C..').bandNames();
// Scale the radiance bands using the image's metadata.
var scales = names.map(function(name) {
return image.getNumber(ee.String(name).cat('_scale'));
});
var offsets = names.map(function(name) {
return image.getNumber(ee.String(name).cat('_offset'));
});
var scaled = image.select('CMI_C..')
.multiply(ee.Image.constant(scales))
.add(ee.Image.constant(offsets));
return image.addBands({srcImg: scaled, overwrite: true});
};
/**
* Computes and adds a green radiance band to a MCMIPM image.
*
* The image must already have been properly scaled via applyScaleAndOffset.
*
* For more information on computing the green band, see:
* https://doi.org/10.1029/2018EA000379
*
* @param {ee.Image} image An image to add a green radiance band to. It
* must be the result of the applyScaleAndOffset function.
* @return {ee.Image}
*/
var addGreenBand = function(image) {
function toBandExpression(bandName) { return 'b(\'' + bandName + '\')'; }
var B_BLUE = toBandExpression(BLUE);
var B_RED = toBandExpression(RED);
var B_VEGGIE = toBandExpression(VEGGIE);
// Green = 0.45 * Red + 0.10 * NIR + 0.45 * Blue
var GREEN_EXPR = GREEN + ' = 0.45 * ' + B_RED + ' + 0.10 * ' + B_VEGGIE +
' + 0.45 * ' + B_BLUE;
var green = image.expression(GREEN_EXPR).select(GREEN);
return image.addBands(green);
};
var COLLECTION = 'NOAA/GOES/16/MCMIPM';
// Select a subset of the collection, correct the values, and add a green band.
var START = ee.Date('2020-09-02T20:40:00');
var END = START.advance(10, 'minutes');
var collection = ee.ImageCollection(COLLECTION)
.filterDate(START, END)
.map(applyScaleAndOffset)
.map(addGreenBand);
// Separates the two domains.
var domain1_col = collection.filter('domain == 1');
var domain2_col = collection.filter('domain == 2');
// Note that there are 20 assets, 10 in each domain.
var size = ee.String('sizes: collection = ').cat(collection.size());
var size1 = ee.String('domain1 = ').cat(domain1_col.size());
var size2 = ee.String('domain2 = ').cat(domain2_col.size());
print(size.cat(' → ').cat(size1).cat(' and ').cat(size2));
// Visualization parameters.
var goesRgbViz = { bands: [RED, GREEN, BLUE], min: 0.0, max: 0.38, gamma: 1.3 };
// Displays a sample image from domain 1 and 2.
Map.addLayer(domain1_col.first(), goesRgbViz, 'Domain 1');
Map.addLayer(domain2_col.first(), goesRgbViz, 'Domain 2');
Map.setCenter(-86, 39, 5);
GOES-17 MCMIPM Series ABI Level 2 Cloud and Moisture Imagery Full Disk数据
Dataset Availability
2018-12-04T16:30:38 - 2021-09-30T00:00:00
Dataset Provider
Collection Snippet
Copied
ee.ImageCollection("NOAA/GOES/17/MCMIPM")
代码：
// Demonstrates displaying GOES-17 Mesoscale images.
// Band names.
var BLUE = 'CMI_C01';
var RED = 'CMI_C02';
var VEGGIE = 'CMI_C03';
var GREEN = 'GREEN';
/**
* Properly scales an MCMIPM image.
*
* @param {ee.Image} image An unaltered MCMIPM image.
* @return {ee.Image}
*/
var applyScaleAndOffset = function(image) {
var names = image.select('CMI_C..').bandNames();
// Scale the radiance bands using the image's metadata.
var scales = names.map(function(name) {
return image.getNumber(ee.String(name).cat('_scale'));
});
var offsets = names.map(function(name) {
return image.getNumber(ee.String(name).cat('_offset'));
});
var scaled = image.select('CMI_C..')
.multiply(ee.Image.constant(scales))
.add(ee.Image.constant(offsets));
return image.addBands({srcImg: scaled, overwrite: true});
};
/**
* Computes and adds a green radiance band to a MCMIPM image.
*
* The image must already have been properly scaled via applyScaleAndOffset.
*
* For more information on computing the green band, see:
* https://doi.org/10.1029/2018EA000379
*
* @param {ee.Image} image An image to add a green radiance band to. It
* must be the result of the applyScaleAndOffset function.
* @return {ee.Image}
*/
var addGreenBand = function(image) {
function toBandExpression(bandName) { return 'b(\'' + bandName + '\')'; }
var B_BLUE = toBandExpression(BLUE);
var B_RED = toBandExpression(RED);
var B_VEGGIE = toBandExpression(VEGGIE);
// Green = 0.45 * Red + 0.10 * NIR + 0.45 * Blue
var GREEN_EXPR = GREEN + ' = 0.45 * ' + B_RED + ' + 0.10 * ' + B_VEGGIE +
' + 0.45 * ' + B_BLUE;
var green = image.expression(GREEN_EXPR).select(GREEN);
return image.addBands(green);
};
var COLLECTION = 'NOAA/GOES/17/MCMIPM';
// Select a subset of the collection, correct the values, and add a green band.
var START = ee.Date('2020-09-09T21:03:00');
var END = START.advance(10, 'minutes');
var collection = ee.ImageCollection(COLLECTION)
.filterDate(START, END)
.map(applyScaleAndOffset)
.map(addGreenBand);
// Separates the two domains.
var domain1_col = collection.filter('domain == 1');
var domain2_col = collection.filter('domain == 2');
// Note that there are 20 assets, 10 in each domain.
var size = ee.String('sizes: collection = ').cat(collection.size());
var size1 = ee.String('domain1 = ').cat(domain1_col.size());
var size2 = ee.String('domain2 = ').cat(domain2_col.size());
print(size.cat(' → ').cat(size1).cat(' and ').cat(size2));
// Visualization parameters.
var goesRgbViz = { bands: [RED, GREEN, BLUE], min: 0.0, max: 0.38, gamma: 1.3 };
// Displays a sample image from domain 1 and 2.
Map.addLayer(domain1_col.first(), goesRgbViz, 'Domain 1');
Map.addLayer(domain2_col.first(), goesRgbViz, 'Domain 2');
Map.setCenter(-133, 50, 3);