{ "created": "2018-05-08 01:48:56", "updated": "2026-04-10 23:18:33", "id": "2daa63f6-b773-437a-9fac-54a09dcceb28", "version": 3, "ds_topic": null, "title_cn": "中国地区AMSR-E亮温数据集", "title_en": "AMSR-E/Aqua Daily Gridded Brightness Temperatures of china", "ds_abstract": "

本数据集包括中国地区2002-2008年，经纬度投影，0.25度分辨率的被动微波遥感亮度温度数据。

\n\n

1、数据处理过程:

\n\n

NSIDC produces AMSR-E gridded brightness temperature data by interpolating AMSR-E data (6.9 GHz, 10.7 GHz, 18.7 GHz, 23.8 GHz, 36.5 GHz, and 89.0 GHz) to the output grids from swath space using an Inverse Distance Squared (ID2) method。

\n\n

2、数据格式：

\n\n

Brightness temperature files: two-byte unsigned integers, little-endian byte order

\n\n

Time files: two-byte signed integers, little-endian byte order

\n\n

3、数据命名:

\n\n

ID2rx-AMSRE-aayyyydddp.vnn.ccc(China-ID2r1-AMSRE-D.252002170A.v03.06V）

\n\n

ID2 Inverse Distance Squared

\n\n

r1 Resolution 1 swath input data

\n\n

AMSRE Identifies this an AMSR-E file

\n\n

D.25 Identifies this as a quarter degree file

\n\n

yyyy Four-digit year

\n\n

ddd Three-digit day of year

\n\n

p Pass direction (A = ascending, D = descending)

\n\n

vnn Gridded data version number (for example, v01, v02, v03)

\n\n

ccc AMSR-E channel indicator: numeric frequency (06, 10, 18, 23, 36, or 89) followed by polarization (H or V)

\n\n

4、切割范围：

\n\n

Corner Coordinates:

\n\n

Upper Left ( 60.0000000, 55.0000000) ( 60d 0'0.00\"E, 55d 0'0.00\"N)

\n\n

Lower Left ( 60.0000000, 15.0000000) ( 60d 0'0.00\"E, 15d 0'0.00\"N)

\n\n

Upper Right ( 140.0000000, 55.0000000) (140d 0'0.00\"E, 55d 0'0.00\"N)

\n\n

Lower Right ( 140.0000000, 15.0000000) (140d 0'0.00\"E, 15d 0'0.00\"N)

\n\n

Center ( 100.0000000, 35.0000000) (100d 0'0.00\"E, 35d 0'0.00\"N)

\n\n

Origin = (60.000000000000000,55.000000000000000)

\n\n

5、数据投影:

\n\n

GEOGCS[\"WGS 84\",

\n\n

DATUM[\"WGS_1984\",

\n\n

SPHEROID[\"WGS 84\",6378137,298.257223563,

\n\n

AUTHORITY[\"EPSG\",\"7030\"]],

\n\n

TOWGS84[0,0,0,0,0,0,0],

\n\n

AUTHORITY[\"EPSG\",\"6326\"]],

\n\n

PRIMEM[\"Greenwich\",0,

\n\n

AUTHORITY[\"EPSG\",\"8901\"]],

\n\n

UNIT[\"degree\",0.0174532925199433,

\n\n

AUTHORITY[\"EPSG\",\"9108\"]],

\n\n

AUTHORITY[\"EPSG\",\"4326\"]]

", "ds_source": "

人工收集

", "ds_process_way": "

NSIDC produces AMSR-E gridded brightness temperature data by interpolating AMSR-E data (6.9 GHz, 10.7 GHz, 18.7 GHz, 23.8 GHz, 36.5 GHz, and 89.0 GHz) to the output grids from swath space using an Inverse Distance Squared (ID2) method。

", "ds_quality": "

本数据经过人工校正、质量良好

", "ds_acq_start_time": "2002-01-03 00:00:00", "ds_acq_end_time": "2008-12-28 00:00:00", "ds_acq_place": "中国", "ds_acq_lon_east": 135.5, "ds_acq_lat_south": 17.766666666666666, "ds_acq_lon_west": 73.19972222222222, "ds_acq_lat_north": 53.86666666666667, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 3088466952, "ds_files_count": 8, "ds_format": "栅格", "ds_space_res": null, "ds_time_res": "年", "ds_coordinate": "WGS84", "ds_projection": "+proj=longlat +datum=WGS84 +no_defs ", "ds_thumbnail": "2daa63f6-b773-437a-9fac-54a09dcceb28.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "None", "ds_from_station": null, "organization_id": "9c4867b1-5cb1-4de0-abeb-df42547bf41e", "ds_serv_man": "李红星 ", "ds_serv_phone": "0931-4967287", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2020-04-08 14:32:08", "last_updated": "2023-09-04 13:40:47", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.Westdc.2020.347", "i18n": { "en": { "title": "AMSR-E/Aqua Daily Gridded Brightness Temperatures of china", "ds_format": "Raster", "ds_source": "

Manual collection

", "ds_quality": "

The data has been corrected manually and the quality is good

", "ds_ref_way": "", "ds_abstract": "

This data set includes passive microwave remote sensing brightness and temperature data of 0.25 degree resolution in 2002-2008 in China.

\n

1. Data processing:

\n

NSIDC produces AMSR-E gridded brightness temperature data by interpolating AMSR-E data (6.9 GHz, 10.7 GHz, 18.7 GHz, 23.8 GHz, 36.5 GHz, and 89.0 GHz) to the output grids from swath space using an Inverse Distance Squared (ID2) method。

\n

2. Data format:

\n

Brightness temperature files: two-byte unsigned integers, little-endian byte order

\n

Time files: two-byte signed integers, little-endian byte order

\n

3. Data naming:

\n

ID2rx-AMSRE-aayyyydddp.vnn.ccc(China-ID2r1-AMSRE-D.252002170A.v03.06V）

\n

ID2 Inverse Distance Squared

\n

r1 Resolution 1 swath input data

\n

AMSRE Identifies this an AMSR-E file

\n

D.25 Identifies this as a quarter degree file

\n

yyyy Four-digit year

\n

ddd Three-digit day of year

\n

p Pass direction (A = ascending, D = descending)

\n

vnn Gridded data version number (for example, v01, v02, v03)

\n

ccc AMSR-E channel indicator: numeric frequency (06, 10, 18, 23, 36, or 89) followed by polarization (H or V)

\n

4. Cutting range:

\n

Corner Coordinates:

\n

Upper Left ( 60.0000000, 55.0000000) ( 60d 0'0.00\"E, 55d 0'0.00\"N)

\n

Lower Left ( 60.0000000, 15.0000000) ( 60d 0'0.00\"E, 15d 0'0.00\"N)

\n

Upper Right ( 140.0000000, 55.0000000) (140d 0'0.00\"E, 55d 0'0.00\"N)

\n

Lower Right ( 140.0000000, 15.0000000) (140d 0'0.00\"E, 15d 0'0.00\"N)

\n

Center ( 100.0000000, 35.0000000) (100d 0'0.00\"E, 35d 0'0.00\"N)

\n

Origin = (60.000000000000000,55.000000000000000)

\n

5. Data projection:

\n

GEOGCS[\"WGS 84\",

\n

DATUM[\"WGS_1984\",

\n

SPHEROID[\"WGS 84\",6378137,298.257223563,

\n

AUTHORITY[\"EPSG\",\"7030\"]],

\n

TOWGS84[0,0,0,0,0,0,0],

\n

AUTHORITY[\"EPSG\",\"6326\"]],

\n

PRIMEM[\"Greenwich\",0,

\n

AUTHORITY[\"EPSG\",\"8901\"]],

\n

UNIT[\"degree\",0.0174532925199433,

\n

AUTHORITY[\"EPSG\",\"9108\"]],

\n

AUTHORITY[\"EPSG\",\"4326\"]]

", "ds_time_res": "年", "ds_acq_place": "China", "ds_space_res": "", "ds_projection": "+proj=longlat +datum=WGS84 +no_defs ", "ds_process_way": "

NSIDC produces AMSR-E gridded brightness temperature data by interpolating AMSR-E data (6.9 GHz, 10.7 GHz, 18.7 GHz, 23.8 GHz, 36.5 GHz, and 89.0 GHz) to the output grids from swath space using an Inverse Distance Squared (ID2) method。

", "ds_ref_instruction": "In order to respect intellectual property rights, protect the rights and interests of data authors, expand the services of data centers, and evaluate the application potential of data, data users are requested to clearly indicate the data source and data authors in the research results (including published papers, works, data products and unpublished research reports, data products, etc.) produced by using data. For data reprinted (secondary or multiple releases), the author must also indicate the source of the original data. The data set is provided by cold and arid regions Sciences Data Center at Lanzhou (http://westdc.westgis.ac.cn)" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "ds_topic_tags": [ "AMSR-E", "被动微波遥感", "亮度温度" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国" ], "ds_time_tags": [ 2002, 2008 ], "ds_contributors": [ { "true_name": "肯·诺尔斯", "email": "nsidc@nsidc.org", "work_for": "国家冰雪数据中心", "country": "中国" }, { "true_name": "Richard Armstrong", "email": "nsidc@nsidc.org", "work_for": "National Snow and Ice Data Center (NSIDC)", "country": "中国" }, { "true_name": "马修·萨瓦", "email": "nsidc@nsidc.org", "work_for": "国家冰雪数据中心", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "吴立宗", "email": "wulizong@pric.org.cn", "work_for": "国家极地科学数据中心", "country": "中国" } ], "ds_managers": [ { "true_name": "肯·诺尔斯", "email": "nsidc@nsidc.org", "work_for": "国家冰雪数据中心", "country": "中国" } ], "category": "遥感及产品" }