前往小程序,Get更优阅读体验!
立即前往
首页
学习
活动
专区
工具
TVP
发布
社区首页 >专栏 >Google Earth Engine ——高级星载热辐射和反射辐射计全球发射率数据库(ASTER-GED)地表温度数据集

Google Earth Engine ——高级星载热辐射和反射辐射计全球发射率数据库(ASTER-GED)地表温度数据集

作者头像
此星光明
发布2024-02-02 11:26:36
2600
发布2024-02-02 11:26:36
举报

The Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Emissivity Database (ASTER-GED) was developed by the National Aeronautics and Space Administration's (NASA) Jet Propulsion Laboratory (JPL), California Institute of Technology. This product includes the mean emissivity and standard deviation for all 5 ASTER Thermal Infrared bands, mean land surface temperature (LST) and standard deviation, a re-sampled ASTER GDEM, land-water mask, mean Normalized Difference Vegetation Index (NDVI) and standard deviation, and observation count.

ASTER-GED land surface temperature and emissivity (LST&E) are generated using the ASTER Temperature Emissivity Separation (TES) algorithm in combination with a Water Vapor Scaling (WVS) atmospheric correction method using MODIS MOD07 atmospheric profiles and the MODTRAN 5.2 radiative transfer model.

This product was derived from clear-sky pixels for all available ASTER data (2000-2008).

[User's Guide] (https://lpdaac.usgs.gov/documents/120/ASTERGED_User_Guide_V3.pdf)

高级星载热辐射和反射辐射计全球发射率数据库(ASTER-GED)是由美国国家航空航天局(NASA)加州理工学院喷气推进实验室(JPL)开发。该产品包括所有5个ASTER热红外波段的平均发射率和标准差,平均陆地表面温度(LST)和标准差,重新采样的ASTER GDEM,陆地-水掩码,平均归一化植被指数(NDVI)和标准差,以及观测次数。

ASTER-GED地表温度和发射率(LST&E)是使用ASTER温度发射率分离(TES)算法,结合水汽缩放(WVS)大气校正方法,使用MODIS MOD07大气剖面和MODTRAN 5.2辐射传输模型生成。

这个产品是由所有可用的ASTER数据(2000-2008)的晴空像素得出的。

[用户指南] (https://lpdaac.usgs.gov/documents/120/ASTERGED_User_Guide_V3.pdf)

Dataset Availability

2000-01-01T00:00:00 - 2008-12-31T00:00:00

Dataset Provider

NASA LP DAAC at the USGS EROS Center

Collection Snippet

ee.Image("NASA/ASTER_GED/AG100_003")

Resolution

100 meters

Bands Table

Name

Description

Min

Max

Units

Scale

emissivity_band10

Mean band 10

0

1000

0.001

emissivity_band11

Mean band 11

0

1000

0.001

emissivity_band12

Mean band 12

0

1000

0.001

emissivity_band13

Mean band 13

0

1000

0.001

emissivity_band14

Mean band 14

0

1000

0.001

emissivity_sdev_band10

Standard deviation band 10

-1000

1000

0.0001

emissivity_sdev_band11

Standard deviation band 11

-1000

1000

0.0001

emissivity_sdev_band12

Standard deviation band 12

-1000

1000

0.0001

emissivity_sdev_band13

Standard deviation band 13

-1000

1000

0.0001

emissivity_sdev_band14

Standard deviation band 14

-1000

1000

0.0001

temperature

Temperature mean

0

65535

K

0.01

temperature_sdev

Temperature standard deviation

0

65535

K

0.01

ndvi

NDVI mean

0

100

0.01

ndvi_sdev

NDVI standard deviation

0

100

0.01

elevation

ASTER Global Digital Elevation Model V002

-500

9000

Meters

0

land_water_map

Land water map

0

num_obs

Number of observations

Number per pixel

0

* = Values are estimated

Class Table: land_water_map

Value

Color

Color Value

Description

1

#brown

Land

2

#blue

Water

使用说明:

ASTER data and products distributed by the LP DAAC, with the exception of the ASTER Global Digital Elevation Model (GDEM) dataset (ASTGTM) version 2 (v2), have no restrictions on data use, sale, or subsequent redistribution. For more information visit the [ASTER Policies] (LP DAAC - Data Citation and Policies) site.

引用:

Please visit LP DAAC 'Citing Our Data' page for information on citing LP DAAC datasets.https://doi.org/10.5067/COMMUNITY/ASTER_GED/AG100.003

代码:

代码语言:javascript
复制
var dataset = ee.Image('NASA/ASTER_GED/AG100_003');
var elevation = dataset.select('elevation');
var elevationVis = {
  min: -15.0,
  max: 5000.0,
  palette: [
    '0602ff', '235cb1', '307ef3', '269db1', '30c8e2', '32d3ef', '3ae237',
    'b5e22e', 'd6e21f', 'fff705', 'ffd611', 'ffb613', 'ff8b13', 'ff6e08',
    'ff500d', 'ff0000', 'de0101', 'c21301'
  ],
};
Map.setCenter(89.12, 37.72, 3);
Map.addLayer(elevation, elevationVis, 'Elevation');
本文参与 腾讯云自媒体同步曝光计划,分享自作者个人站点/博客。
原始发表:2024-02-01,如有侵权请联系 cloudcommunity@tencent.com 删除

本文分享自 作者个人站点/博客 前往查看

如有侵权,请联系 cloudcommunity@tencent.com 删除。

本文参与 腾讯云自媒体同步曝光计划  ,欢迎热爱写作的你一起参与!

评论
登录后参与评论
0 条评论
热度
最新
推荐阅读
相关产品与服务
数据库
云数据库为企业提供了完善的关系型数据库、非关系型数据库、分析型数据库和数据库生态工具。您可以通过产品选择和组合搭建,轻松实现高可靠、高可用性、高性能等数据库需求。云数据库服务也可大幅减少您的运维工作量,更专注于业务发展,让企业一站式享受数据上云及分布式架构的技术红利!
领券
问题归档专栏文章快讯文章归档关键词归档开发者手册归档开发者手册 Section 归档