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社区首页 >专栏 >Google Earth Engine——国防气象计划(DMSP)的运行线路扫描系统(OLS)具有独特的能力来探测夜间的可见和近红外(VNIR)发射源。包含了全球夜间的灯光图像

Google Earth Engine——国防气象计划(DMSP)的运行线路扫描系统(OLS)具有独特的能力来探测夜间的可见和近红外(VNIR)发射源。包含了全球夜间的灯光图像

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发布2024-02-02 12:12:39
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发布2024-02-02 12:12:39
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The Defense Meteorological Program (DMSP) Operational Line-Scan System (OLS) has a unique capability to detect visible and near-infrared (VNIR) emission sources at night.

This collection contains global nighttime lights images with no sensor saturation. The sensor is typically operated at a high-gain setting to enable the detection of moonlit clouds. However, with six bit quantization and limited dynamic range, the recorded data are saturated in the bright cores of urban centers. A limited set of observations at low lunar illumination were obtained where the gain of the detector was set significantly lower than its typical operational setting (sometimes by a factor of 100). Sparse data acquired at low-gain settings were combined with the operational data acquired at high-gain settings to produce the set of global nighttime lights images with no sensor saturation. Data from different satellites were merged and blended into the final product in order to gain maximum coverage. For more information, see this readme file from the provider.

Image and data processing by NOAA's National Geophysical Data Center. DMSP data collected by US Air Force Weather Agency.

国防气象计划(DMSP)的运行线路扫描系统(OLS)具有独特的能力来探测夜间的可见和近红外(VNIR)发射源。

这个集合包含了全球夜间的灯光图像,没有传感器的饱和度。该传感器通常在高增益设置下运行,以实现对月光云的探测。然而,由于六位量化和有限的动态范围,记录的数据在城市中心的明亮核心区域是饱和的。在月球低照度下获得了一组有限的观测数据,其中探测器的增益设置大大低于其典型的操作设置(有时是100倍)。在低增益设置下获得的稀疏数据与在高增益设置下获得的运行数据相结合,产生了一组没有传感器饱和度的全球夜间灯光图像。来自不同卫星的数据被合并并混合到最终产品中,以获得最大的覆盖范围。欲了解更多信息,请参见供应商提供的这份自述文件。

图像和数据处理由NOAA的国家地球物理资料中心进行。DMSP数据由美国空军气象局收集。

Dataset Availability

1996-03-16T00:00:00 - 2011-07-31T00:00:00

Dataset Provider

Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines

Collection Snippet

ee.ImageCollection("NOAA/DMSP-OLS/CALIBRATED_LIGHTS_V4")

Resolution

927.67 meters

Bands Table

Name

Description

Min*

Max*

avg_vis

Average digital band numbers from observations with cloud-free light detection.

0

6060.6

cf_cvg

Cloud-free coverages, the total number of observations that went into each 30-arc second grid cell. This image can be used to identify areas with low numbers of observations where the quality is reduced.

0

175

* = Values are estimated

数据说明:

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. The forgoing data is in the public domain and is being provided without restriction on use and distribution.

代码:

代码语言:javascript
复制
var dataset = ee.ImageCollection('NOAA/DMSP-OLS/CALIBRATED_LIGHTS_V4')
                  .filter(ee.Filter.date('2010-01-01', '2010-12-31'));
var nighttimeLights = dataset.select('avg_vis');
var nighttimeLightsVis = {
  min: 3.0,
  max: 60.0,
};
Map.setCenter(7.82, 49.1, 4);
Map.addLayer(nighttimeLights, nighttimeLightsVis, 'Nighttime Lights');
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