Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_49KGQ_2017-07-04_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HNH_2017-08-27_final.stac-item
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JKP_2017-09-09_final.stac-item
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50HNH_2017-11-05_final.stac-item
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HNK_2017-11-15_final.stac-item
2018-01-03 12:13:12	ga_s2bm_ard_3-2-1_49JGL_2018-01-03_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGK_2018-02-19_final.stac-item
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50JMQ_2018-02-26_final.stac-item
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49KGR_2018-03-24_final.stac-item
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50JML_2018-06-03_final.stac-item
2018-06-12 12:13:19	ga_s2bm_ard_3-2-1_49JGN_2018-06-12_final.stac-item
2018-07-02 12:13:20	ga_s2bm_ard_3-2-1_49KGR_2018-07-02_final.stac-item
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50JMN_2018-09-14_final.stac-item
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50JLM_2018-11-03_final.stac-item
2019-02-04 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2019-02-04_final.stac-item
2019-02-11 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2019-02-11_final.stac-item
2019-02-28 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2019-02-28_final.stac-item
2019-03-09 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2019-03-09_final.stac-item
2019-04-09 11:46:38	ga_s2bm_ard_3-2-1_50HPK_2019-04-09_final.stac-item
2019-05-05 12:05:37	ga_s2bm_ard_3-2-1_49JGK_2019-05-05_final.stac-item
2019-05-18 12:14:35	ga_s2bm_ard_3-2-1_49KGP_2019-05-18_final.stac-item
2019-06-21 11:55:50	ga_s2bm_ard_3-2-1_50JLP_2019-06-21_final.stac-item
2019-09-16 11:46:13	ga_s2bm_ard_3-2-1_50JMM_2019-09-16_final.stac-item
2019-09-19 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2019-09-19_final.stac-item
2019-11-05 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2019-11-05_final.stac-item
2019-11-21 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2019-11-21_final.stac-item
2019-12-15 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2019-12-15_final.stac-item
2020-03-24 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2020-03-24_final.stac-item
2020-04-09 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2020-04-09_final.stac-item
2020-04-16 11:56:26	ga_s2bm_ard_3-2-1_50HNK_2020-04-16_final.stac-item
2020-05-12 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2020-05-12_final.stac-item
2020-05-19 12:06:04	ga_s2bm_ard_3-2-1_50JLM_2020-05-19_final.stac-item
2020-05-26 11:55:54	ga_s2bm_ard_3-2-1_50JMN_2020-05-26_final.stac-item
2020-06-11 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2020-06-11_final.stac-item
2020-06-28 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2020-06-28_final.stac-item
2020-07-12 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2020-07-12_final.stac-item
2020-07-22 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2020-07-22_final.stac-item
2020-07-25 11:55:55	ga_s2bm_ard_3-2-1_50JMN_2020-07-25_final.stac-item
2020-10-09 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2020-10-09_final.stac-item
2020-10-13 11:56:29	ga_s2bm_ard_3-2-1_50JLL_2020-10-13_final.stac-item
2020-10-29 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2020-10-29_final.stac-item
2020-10-30 11:46:46	ga_s2bm_ard_3-2-1_50HQJ_2020-10-30_final.stac-item
2020-11-05 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2020-11-05_final.stac-item
2020-11-19 11:46:27	ga_s2bm_ard_3-2-1_50JML_2020-11-19_final.stac-item
2020-11-22 11:57:16	ga_s2bm_ard_3-2-1_50HLH_2020-11-22_final.stac-item
2020-11-29 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2020-11-29_final.stac-item
2021-01-04 12:04:38	ga_s2bm_ard_3-2-1_50JLT_2021-01-04_final.stac-item
2021-02-17 11:46:39	ga_s2bm_ard_3-2-1_50HPJ_2021-02-17_final.stac-item
2021-02-23 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2021-02-23_final.stac-item
2021-03-15 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-03-15_final.stac-item
2021-04-21 11:55:51	ga_s2bm_ard_3-2-1_50JLN_2021-04-21_final.stac-item
2021-05-24 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2021-05-24_final.stac-item
2021-06-07 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2021-06-07_final.stac-item
2021-07-20 11:55:15	ga_s2bm_ard_3-2-1_50JLR_2021-07-20_final.stac-item
2021-07-23 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2021-07-23_final.stac-item
2021-08-03 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2021-08-03_final
2021-08-05 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2021-08-05_final.stac-item
2021-08-09 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2021-08-09_final.stac-item
2021-08-12 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2021-08-12_final.stac-item
2021-09-28 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2021-09-28_final.stac-item
2021-10-21 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2021-10-21_final.stac-item
2021-10-31 12:04:40	ga_s2bm_ard_3-2-1_50JLT_2021-10-31_final.stac-item
2021-11-03 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2021-11-03_final.stac-item
2021-11-27 11:56:03	ga_s2bm_ard_3-2-1_50JMM_2021-11-27_final.stac-item
2021-12-24 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2021-12-24_final
2022-01-06 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2022-01-06_final.stac-item
2022-01-16 11:56:07	ga_s2bm_ard_3-2-1_50JLM_2022-01-16_final.stac-item
2022-02-08 12:04:52	ga_s2bm_ard_3-2-1_49JGM_2022-02-08_final.stac-item
2022-02-15 11:56:05	ga_s2bm_ard_3-2-1_50JLM_2022-02-15_final.stac-item
2022-04-19 12:05:36	ga_s2bm_ard_3-2-1_50JKP_2022-04-19_final.stac-item
2022-04-22 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2022-04-22_final.stac-item
2022-05-26 11:56:22	ga_s2bm_ard_3-2-1_50JML_2022-05-26_final.stac-item
2022-07-02 11:46:42	ga_s2bm_ard_3-2-1_50HNK_2022-07-02_final.stac-item
2022-07-02 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2022-07-02_final.stac-item
2022-07-15 11:56:55	ga_s2bm_ard_3-2-1_50HMJ_2022-07-15_final.stac-item
2022-08-14 11:56:29	ga_s2bm_ard_3-2-1_50JLL_2022-08-14_final.stac-item
2022-08-17 12:05:29	ga_s2bm_ard_3-2-1_50JKQ_2022-08-17_final.stac-item
2022-10-06 12:05:35	ga_s2bm_ard_3-2-1_50JLP_2022-10-06_final.stac-item
2022-10-26 12:05:41	ga_s2bm_ard_3-2-1_50JLP_2022-10-26_final.stac-item
2022-11-28 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2022-11-28_final.stac-item
2022-11-29 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2022-11-29_final.stac-item
2023-01-14 12:04:35	ga_s2bm_ard_3-2-1_50JLT_2023-01-14_final.stac-item
2023-01-21 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2023-01-21_final.stac-item
2023-04-21 11:56:10	ga_s2bm_ard_3-2-1_50JMM_2023-04-21_final
2023-05-01 11:55:55	ga_s2bm_ard_3-2-1_50JMN_2023-05-01_final
2023-05-28 11:46:38	ga_s2bm_ard_3-2-1_50HPK_2023-05-28_final
2023-07-04 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2023-07-04_final
2023-07-20 11:56:02	ga_s2bm_ard_3-2-1_50JLN_2023-07-20_final
2023-07-27 11:46:47	ga_s2bm_ard_3-2-1_50HMK_2023-07-27_final
2023-08-06 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2023-08-06_final
2023-09-28 11:56:04	ga_s2bm_ard_3-2-1_50JLN_2023-09-28_final
2023-10-15 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2023-10-15_final
2023-10-28 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2023-10-28_final
2023-11-07 11:55:59	ga_s2bm_ard_3-2-1_50JLN_2023-11-07_final
2023-12-07 11:55:53	ga_s2bm_ard_3-2-1_50JLN_2023-12-07_final
2024-01-12 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2024-01-12_final
2024-01-16 11:55:52	ga_s2bm_ard_3-2-1_50JMN_2024-01-16_final
2024-02-02 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2024-02-02_final
2024-03-09 12:04:22	ga_s2bm_ard_3-2-1_49KGP_2024-03-09_final
2024-03-16 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2024-03-16_final

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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