Changes
On July 19, 2021 at 7:03:11 AM UTC, Xiahou:
-
Added resource Data Name to GF Historical Data Set of Typical River and Lake Area (2019-2020)
f | 1 | { | f | 1 | { |
2 | "author": "Yubao Qiu ", | 2 | "author": "Yubao Qiu ", | ||
3 | "author_email": "", | 3 | "author_email": "", | ||
4 | "creator_user_id": "f470fae7-1089-4af8-9d67-af653be6e762", | 4 | "creator_user_id": "f470fae7-1089-4af8-9d67-af653be6e762", | ||
5 | "extras": [ | 5 | "extras": [ | ||
6 | { | 6 | { | ||
7 | "key": "Geographic Coverage", | 7 | "key": "Geographic Coverage", | ||
8 | "value": "25\u00b0N-48\u00b0N, 180\u00b0W-180\u00b0E" | 8 | "value": "25\u00b0N-48\u00b0N, 180\u00b0W-180\u00b0E" | ||
9 | }, | 9 | }, | ||
10 | { | 10 | { | ||
11 | "key": "Sharing Principle", | 11 | "key": "Sharing Principle", | ||
12 | "value": "Internal access" | 12 | "value": "Internal access" | ||
13 | }, | 13 | }, | ||
14 | { | 14 | { | ||
15 | "key": "Time", | 15 | "key": "Time", | ||
16 | "value": "2019.01.01-2020.12.31" | 16 | "value": "2019.01.01-2020.12.31" | ||
17 | } | 17 | } | ||
18 | ], | 18 | ], | ||
19 | "groups": [], | 19 | "groups": [], | ||
20 | "id": "926ff5fd-79a9-48eb-b064-1009baad712a", | 20 | "id": "926ff5fd-79a9-48eb-b064-1009baad712a", | ||
21 | "isopen": false, | 21 | "isopen": false, | ||
22 | "license_id": "", | 22 | "license_id": "", | ||
23 | "license_title": "", | 23 | "license_title": "", | ||
24 | "maintainer": "Yubao Qiu ", | 24 | "maintainer": "Yubao Qiu ", | ||
25 | "maintainer_email": "", | 25 | "maintainer_email": "", | ||
26 | "metadata_created": "2021-07-19T07:01:57.007931", | 26 | "metadata_created": "2021-07-19T07:01:57.007931", | ||
n | 27 | "metadata_modified": "2021-07-19T07:01:57.007940", | n | 27 | "metadata_modified": "2021-07-19T07:03:10.913522", |
28 | "name": | 28 | "name": | ||
29 | "gf-historical-data-set-of-typical-river-and-lake-area-2019-2020", | 29 | "gf-historical-data-set-of-typical-river-and-lake-area-2019-2020", | ||
30 | "notes": "Data content: the data set is the domestic high score | 30 | "notes": "Data content: the data set is the domestic high score | ||
31 | series (GF1 / 2 / 3 / 4) historical archive satellite data for typical | 31 | series (GF1 / 2 / 3 / 4) historical archive satellite data for typical | ||
32 | river and lake areas, including the Qinghai Tibet Plateau, Alaska, | 32 | river and lake areas, including the Qinghai Tibet Plateau, Alaska, | ||
33 | Scandinavia, Siberia, etc., which can cover typical river and lake | 33 | Scandinavia, Siberia, etc., which can cover typical river and lake | ||
34 | areas for effective monitoring. The data range is from 2019 to 2020. | 34 | areas for effective monitoring. The data range is from 2019 to 2020. | ||
35 | Data source and processing method: the data is the original satellite | 35 | Data source and processing method: the data is the original satellite | ||
36 | image level 1 product, and the level 1A data product after | 36 | image level 1 product, and the level 1A data product after | ||
37 | equalization radiometric correction. Through the equalization function | 37 | equalization radiometric correction. Through the equalization function | ||
38 | of different detectors, the changes affecting the sensor are | 38 | of different detectors, the changes affecting the sensor are | ||
39 | corrected, including the absolute correction coefficient of replacing | 39 | corrected, including the absolute correction coefficient of replacing | ||
40 | DN value with radiance value. Data quality description: the high score | 40 | DN value with radiance value. Data quality description: the high score | ||
41 | series satellites are processed by China Resources Satellite | 41 | series satellites are processed by China Resources Satellite | ||
42 | Application Center, the original data received by the satellite ground | 42 | Application Center, the original data received by the satellite ground | ||
43 | station of CASS and the products at all levels formed by processing. | 43 | station of CASS and the products at all levels formed by processing. | ||
44 | Among them, level 1a (preprocessing level radiometric correction image | 44 | Among them, level 1a (preprocessing level radiometric correction image | ||
45 | product): image data processed by data analysis, homogenization | 45 | product): image data processed by data analysis, homogenization | ||
46 | radiometric correction, denoising, MTFC, CCD splicing, band | 46 | radiometric correction, denoising, MTFC, CCD splicing, band | ||
47 | registration, etc; And provide the RPC file of satellite direct | 47 | registration, etc; And provide the RPC file of satellite direct | ||
48 | attitude and orbit data production. For details, please refer to the | 48 | attitude and orbit data production. For details, please refer to the | ||
49 | data website file of China Resources Satellite Application Center. | 49 | data website file of China Resources Satellite Application Center. | ||
50 | Results and prospects of data application: the data are domestic high | 50 | Results and prospects of data application: the data are domestic high | ||
51 | score data, which can be applied and popularized, instead of foreign | 51 | score data, which can be applied and popularized, instead of foreign | ||
52 | data, and used in many aspects of monitoring in Typical River and lake | 52 | data, and used in many aspects of monitoring in Typical River and lake | ||
53 | areas.", | 53 | areas.", | ||
n | 54 | "num_resources": 0, | n | 54 | "num_resources": 1, |
55 | "num_tags": 1, | 55 | "num_tags": 1, | ||
56 | "organization": { | 56 | "organization": { | ||
57 | "approval_status": "approved", | 57 | "approval_status": "approved", | ||
58 | "created": "2020-04-30T11:11:08.802657", | 58 | "created": "2020-04-30T11:11:08.802657", | ||
59 | "description": "Aerospace Information Research Institute (AIR) | 59 | "description": "Aerospace Information Research Institute (AIR) | ||
60 | under the Chinese Academy of Sciences (CAS) was established in July | 60 | under the Chinese Academy of Sciences (CAS) was established in July | ||
61 | 2017, following the approval for consolidation of three CAS | 61 | 2017, following the approval for consolidation of three CAS | ||
62 | institutes: the Institute of Electronics (IECAS), the Institute of | 62 | institutes: the Institute of Electronics (IECAS), the Institute of | ||
63 | Remote Sensing and Digital Earth (RADI), and the Academy of | 63 | Remote Sensing and Digital Earth (RADI), and the Academy of | ||
64 | Opto-Electronics (AOE) at CAS President Board Meeting. The merger is | 64 | Opto-Electronics (AOE) at CAS President Board Meeting. The merger is | ||
65 | the outcome of CAS efforts towards reformation of its R&D system to | 65 | the outcome of CAS efforts towards reformation of its R&D system to | ||
66 | meet future R&D challenges and to better meet the national demands.", | 66 | meet future R&D challenges and to better meet the national demands.", | ||
67 | "id": "c25dce84-97be-4153-8b90-d38f9ab73e5f", | 67 | "id": "c25dce84-97be-4153-8b90-d38f9ab73e5f", | ||
68 | "image_url": "2021-05-18-080509.992585AIRlogo.png", | 68 | "image_url": "2021-05-18-080509.992585AIRlogo.png", | ||
69 | "is_organization": true, | 69 | "is_organization": true, | ||
70 | "name": "air", | 70 | "name": "air", | ||
71 | "state": "active", | 71 | "state": "active", | ||
72 | "title": "Aerospace Information Research Institute, CAS", | 72 | "title": "Aerospace Information Research Institute, CAS", | ||
73 | "type": "organization" | 73 | "type": "organization" | ||
74 | }, | 74 | }, | ||
75 | "owner_org": "c25dce84-97be-4153-8b90-d38f9ab73e5f", | 75 | "owner_org": "c25dce84-97be-4153-8b90-d38f9ab73e5f", | ||
76 | "private": false, | 76 | "private": false, | ||
77 | "relationships_as_object": [], | 77 | "relationships_as_object": [], | ||
78 | "relationships_as_subject": [], | 78 | "relationships_as_subject": [], | ||
t | 79 | "resources": [], | t | 79 | "resources": [ |
80 | { | ||||
81 | "cache_last_updated": null, | ||||
82 | "cache_url": null, | ||||
83 | "created": "2021-07-19T07:03:10.933797", | ||||
84 | "datastore_active": false, | ||||
85 | "description": "Data naming:\r\nThe file name of grade 1 product | ||||
86 | of gaofen-3 satellite adopts the following naming rules: GF3_ KRN_ | ||||
87 | FSI_ 017581_ E103.8_ N39.1_ 20191212_ L1A_ HHHV_ | ||||
88 | L10000000039.7Z\r\nSatellite identification_ Station name_ Working | ||||
89 | mode_ Track number (6 digits)_ Longitude of scenery Center (one | ||||
90 | decimal place after e east longitude and W west longitude)_ Latitude | ||||
91 | of scenery Center (one decimal place after n, s)_ Date of data | ||||
92 | acquisition (UTC time)_ Product form_ Polarization mode (AHV: full | ||||
93 | polarization, DH: dual aperture HH polarization, DV: dual aperture VV | ||||
94 | polarization, hhhv: hhhv dual polarization, vvvh: vvvh dual | ||||
95 | polarization, HH: HH single polarization, VV: VV single polarization)_ | ||||
96 | Product level (L1) product serial number (10 digits)\r\nFor GF4, L1A | ||||
97 | level data has the following three naming structures:\r\nGF4_ PMI * * | ||||
98 | indicates that the data includes panchromatic, multispectral and mid | ||||
99 | wave infrared data;\r\nGF4_ PMS * * indicates that the data only | ||||
100 | contains panchromatic and multispectral data;\r\nGF4_ IRS * * | ||||
101 | indicates that the data contains only mid wave infrared data.\r\nThe | ||||
102 | naming rules of GF1 and GF2 are similar_ Sensor name_ Central | ||||
103 | longitude_ Central latitude_ Imaging time_ L****\r\nData reading: the | ||||
104 | data is stored in TIFF format, compressed and stored. After | ||||
105 | decompression, it can be opened and read with envi, ArcGIS and other | ||||
106 | remote sensing software", | ||||
107 | "format": "", | ||||
108 | "hash": "", | ||||
109 | "id": "0658ef54-1119-4234-a577-8d03e392e4d9", | ||||
110 | "last_modified": null, | ||||
111 | "metadata_modified": "2021-07-19T07:03:10.926954", | ||||
112 | "mimetype": null, | ||||
113 | "mimetype_inner": null, | ||||
114 | "name": "Data Name", | ||||
115 | "package_id": "926ff5fd-79a9-48eb-b064-1009baad712a", | ||||
116 | "position": 0, | ||||
117 | "resource_type": null, | ||||
118 | "size": null, | ||||
119 | "state": "active", | ||||
120 | "url": "", | ||||
121 | "url_type": null | ||||
122 | } | ||||
123 | ], | ||||
80 | "state": "draft", | 124 | "state": "draft", | ||
81 | "tags": [ | 125 | "tags": [ | ||
82 | { | 126 | { | ||
83 | "display_name": "GF", | 127 | "display_name": "GF", | ||
84 | "id": "3870f8b2-fe7d-4afc-b87d-b8ff3acfee56", | 128 | "id": "3870f8b2-fe7d-4afc-b87d-b8ff3acfee56", | ||
85 | "name": "GF", | 129 | "name": "GF", | ||
86 | "state": "active", | 130 | "state": "active", | ||
87 | "vocabulary_id": null | 131 | "vocabulary_id": null | ||
88 | } | 132 | } | ||
89 | ], | 133 | ], | ||
90 | "title": "GF Historical Data Set of Typical River and Lake Area | 134 | "title": "GF Historical Data Set of Typical River and Lake Area | ||
91 | (2019-2020)", | 135 | (2019-2020)", | ||
92 | "type": "dataset", | 136 | "type": "dataset", | ||
93 | "url": "", | 137 | "url": "", | ||
94 | "version": "" | 138 | "version": "" | ||
95 | } | 139 | } |