Google Earth Engine ——GCOM-C 进行长期和持续的陆地地表温度数据集（JAXA/GCOM-C/L3/LAND/LAI/V2）

本产品是陆地表面的温度。 更新版本的 JAXA/GCOM-C/L3/LAND/LST/V2也可用于此数据集，该数据集使用此算法进行处理。 GCOM-C 进行长期和持续的全球观测和数据收集，以阐明辐射收支和碳循环波动背后的机制，从而对未来温度上升做出准确预测。同时，与有气候数值模型的研究机构合作，有助于减少气候数值模型得出的温升预测误差，提高各种环境变化的预测精度。安装在 GCOM-C 上的 SGLI 是安装在 ADEOS-II (MIDORI II) 上的 Global Imager (GLI) 的连续传感器，是测量从近紫外到热红外区域 (380 nm-12 um) 的辐射的成像辐射计在 19 个频道中。在日本附近的中纬度地区，地面观测宽度超过 1,000 公里，可以进行大约每两天一次的全球观测。此外，SGLI 实现了比同类全局传感器更高的分辨率，并具有偏振观测功能和多角度观测功能。

Dataset Availability

2018-01-01T00:00:00 - 2020-06-28T00:00:00

Dataset Provider

Global Change Observation Mission (GCOM)

Collection Snippet

ee.ImageCollection("JAXA/GCOM-C/L3/LAND/LST/V2")

Resolution

2.5 arc minutes

Bands Table

* = Values are estimated 

影像属性：

数据说明：

This dataset is free to use without any restrictions (including commercial use). Anyone wishing to publish analyzed results or value added data products should properly credit the original G-Portal data, e.g., "PR data by Japan Aerospace Exploration Agency". For value added data products, please indicate the credit of the original G-Portal data, e.g., "Original data for this value added data product was provided by Japan Aerospace Exploration Agency."

See G-Portal's terms of service (Article 7) for additional information.

 引用：

Moriyama, M. (Sep. 2014). GCOM–C1/SGLI Land Surface Temperature Product Algorithm Theoretical Basis Document (Version 1). Retrieved from https://suzaku.eorc.jaxa.jp/GCOM_C/data/ATBD/ver1/LST-ATBD_2014.pdf

代码：

代码：

var dataset = ee.ImageCollection("JAXA/GCOM-C/L3/LAND/LST/V2")
                .filterDate('2020-01-01', '2020-02-01');

// Multiply with slope coefficient
var dataset = dataset.mean().multiply(0.02).log10();

var visualization = {
  bands: ['LST_AVE'],
  min: 2.4,
  max: 2.5,
  palette: [
    "040274","040281","0502a3","0502b8","0502ce","0502e6",
    "0602ff","235cb1","307ef3","269db1","30c8e2","32d3ef",
    "3be285","3ff38f","86e26f","3ae237","b5e22e","d6e21f",
    "fff705","ffd611","ffb613","ff8b13","ff6e08","ff500d",
    "ff0000","de0101","c21301","a71001","911003",
  ]
};

Map.setCenter(128.45, 33.33, 5);

Map.addLayer(dataset, visualization, "Land Surface Temperature");

最后

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