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GOES-16 MCMIPF 系列 ABI 2 级云层和水汽成像数据集

此星光明发表于 2025/01/16 16:53:32 2025/01/16

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【摘要】 GOES-16 MCMIPF 系列 ABI 2 级云层和水汽成像全盘简介云层和水分成像产品的分辨率均为 2 公里。 1-6 波段为反射波段。无量纲的 "反射系数 "以太阳天顶角为标准。这些波段有助于确定云、植被、雪/冰和气溶胶的特征。第 7-16 波段为发射波段。大气顶部 (TOA) 的亮度温度以开尔文为单位测量。这些波段支持根据发射特性对地表、云层、水蒸气、臭氧、火山灰和尘埃...

GOES-16 MCMIPF 系列 ABI 2 级云层和水汽成像全盘

简介

云层和水分成像产品的分辨率均为 2 公里。 1-6 波段为反射波段。无量纲的 "反射系数 "以太阳天顶角为标准。这些波段有助于确定云、植被、雪/冰和气溶胶的特征。第 7-16 波段为发射波段。大气顶部 (TOA) 的亮度温度以开尔文为单位测量。这些波段支持根据发射特性对地表、云层、水蒸气、臭氧、火山灰和尘埃进行定性。 README NOAA 的卫星和产品运行办公室有一个提供状态更新的 "一般卫星信息 "频道。

摘要

Dataset Availability

2017-07-10T00:00:00Z–2025-01-15T20:30:20Z

Dataset Provider

NOAA

Earth Engine Snippet

ee.ImageCollection("NOAA/GOES/16/MCMIPF")

Resolution
2000 meters

Bands

Name	Units	Min	Max	Wavelength	Description
`CMI_C01`	Reflectance factor	0	1.3	0.45-0.49µm	Visible - Blue Daytime aerosol over land, coastal water mapping.
`DQF_C01`		0	4		Data quality flags
`CMI_C02`	Reflectance factor	0	1.3	0.59-0.69µm	Visible - Red Daytime clouds, fog, insolation, winds
`DQF_C02`		0	4		Data quality flags
`CMI_C03`	Reflectance factor	0	1.3	0.846-0.885µm	Near-IR - Veggie Daytime vegetation, burn scar, aerosol over water, winds
`DQF_C03`		0	4		Data quality flags
`CMI_C04`	Reflectance factor	0	1.3	1.371-1.386µm	Near-IR - Cirrus Daytime cirrus cloud
`DQF_C04`		0	4		Data quality flags
`CMI_C05`	Reflectance factor	0	1.3	1.58-1.64µm	Near-IR - Snow/Ice Daytime cloud-top phase and particle size, snow
`DQF_C05`		0	4		Data quality flags
`CMI_C06`	Reflectance factor	0	1.3	2.225-2.275µm	Near IR - Cloud Particle Size Daytime land, cloud properties, particle size, vegetation, snow
`DQF_C06`		0	4		Data quality flags
`CMI_C07`	K	197.31	411.86	3.80-4.00µm	Infrared - Shortwave Window Brightness
`DQF_C07`		0	4		Data quality flags
`CMI_C08`	K	138.05	311.06	5.77-6.6µm	Infrared - Upper-level water vapor High-level atmospheric water vapor, winds, rainfall Brightness
`DQF_C08`		0	4		Data quality flags
`CMI_C09`	K	137.7	311.08	6.75-7.15µm	Infrared - Mid-level water vapor Mid-level atmospheric water vapor, winds, rainfall Brightness
`DQF_C09`		0	4		Data quality flags
`CMI_C10`	K	126.91	331.2	7.24-7.44µm	Infrared - Lower-level water vapor Lower-level water vapor, winds, and sulfur dioxide Brightness
`DQF_C10`		0	4		Data quality flags
`CMI_C11`	K	127.69	341.3	8.3-8.7µm	Infrared - Cloud-top phase Total water for stability, cloud phase, dust, sulfur dioxide, rainfall Brightness
`DQF_C11`		0	4		Data quality flags
`CMI_C12`	K	117.49	311.06	9.42-9.8µm	Infrared - Ozone Total ozone, turbulence, winds
`DQF_C12`		0	4		Data quality flags
`CMI_C13`	K	89.62	341.27	10.1-10.6µm	Infrared - "Clean" longwave window Surface and clouds Brightness
`DQF_C13`		0	4		Data quality flags
`CMI_C14`	K	96.19	341.28	10.8-11.6µm	Infrared - Longwave window Imagery, sea surface temperature, clouds, rainfall Brightness
`DQF_C14`		0	4		Data quality flags
`CMI_C15`	K	97.38	341.28	11.8-12.8µm	Infrared "Dirty" longwave Total water, volcanic ash, sea surface temperature Brightness
`DQF_C15`		0	4		Data quality flags
`CMI_C16`	K	92.7	318.26	13.0-13.6µm	Infrared - CO_2 longwave Air temperature, cloud heights Brightness
`DQF_C16`		0	4		Data quality flags

DQF_C01 Class Table

Value	Color	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

DQF_C02 Class Table

Value	Color	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

DQF_C03 Class Table

Value	Color	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

DQF_C04 Class Table

Value	Color	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

DQF_C05 Class Table

Value	Color	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

DQF_C06 Class Table

Value	Color	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

DQF_C07 Class Table

Value	Color	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

DQF_C08 Class Table

Value	Color	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

DQF_C09 Class Table

Value	Color	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

DQF_C10 Class Table

Value	Color	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

DQF_C11 Class Table

Value	Color	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

DQF_C12 Class Table

Value	Color	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

DQF_C13 Class Table

Value	Color	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

DQF_C14 Class Table

Value	Color	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

DQF_C15 Class Table

Value	Color	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

DQF_C16 Class Table

Value	Color	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

Image Properties

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

代码

// Band aliases.
var BLUE = 'CMI_C01';
var RED = 'CMI_C02';
var VEGGIE = 'CMI_C03';
var GREEN = 'GREEN';
// 16 pairs of CMI and DQF followed by Bah 2018 synthetic green.
// Band numbers in the EE asset, 0-based.
var NUM_BANDS = 33;
// Skipping the interleaved DQF bands.
var BLUE_BAND_INDEX = (1 - 1) * 2;
var RED_BAND_INDEX = (2 - 1) * 2;
var VEGGIE_BAND_INDEX = (3 - 1) * 2;
var GREEN_BAND_INDEX = NUM_BANDS - 1;

// Visualization range for GOES RGB.
var GOES_MIN = 0.0;
var GOES_MAX = 0.7;  // Alternatively 1.0 or 1.3.
var GAMMA = 1.3;

var goesRgbViz = {
  bands: [RED, GREEN, BLUE],
  min: GOES_MIN,
  max: GOES_MAX,
  gamma: GAMMA
};

var applyScaleAndOffset = function(image) {
  image = ee.Image(image);
  var bands = new Array(NUM_BANDS);
  for (var i = 1; i < 17; i++) {
    var bandName = 'CMI_C' + (100 + i + '').slice(-2);
    var offset = ee.Number(image.get(bandName + '_offset'));
    var scale =  ee.Number(image.get(bandName + '_scale'));
    bands[(i-1) * 2] = image.select(bandName).multiply(scale).add(offset);

    var dqfName = 'DQF_C' + (100 + i + '').slice(-2);
    bands[(i-1) * 2 + 1] = image.select(dqfName);
  }

  // Bah, Gunshor, Schmit, Generation of GOES-16 True Color Imagery without a
  // Green Band, 2018. https://doi.org/10.1029/2018EA000379
  // Green = 0.45 * Red + 0.10 * NIR + 0.45 * Blue
  var green1 = bands[RED_BAND_INDEX].multiply(0.45);
  var green2 = bands[VEGGIE_BAND_INDEX].multiply(0.10);
  var green3 = bands[BLUE_BAND_INDEX].multiply(0.45);
  var green = green1.add(green2).add(green3);
  bands[GREEN_BAND_INDEX] = green.rename(GREEN);

  return ee.Image(ee.Image(bands).copyProperties(image, image.propertyNames()));
};

var collection = 'NOAA/GOES/16/MCMIPF/';
var imageName = '2020210184019900000';
var assetId = collection + imageName;
var image = applyScaleAndOffset(assetId);
Map.addLayer(image, goesRgbViz);

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. doi:10.1175/BAMS-D-15-00230.1

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