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
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HMH_2017-10-06_final.stac-item
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HNH_2017-10-06_final.stac-item
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49JGK_2017-10-12_final.stac-item
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49JGM_2017-11-11_final.stac-item
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49JGN_2017-11-11_final.stac-item
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49KGR_2017-11-14_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50HMJ_2017-12-28_final.stac-item
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_50JKP_2018-01-10_final.stac-item
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HMJ_2018-02-06_final.stac-item
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50HMH_2018-02-16_final.stac-item
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50HLH_2018-02-26_final.stac-item
2018-04-17 11:56:30	ga_s2bm_ard_3-2-1_50HLJ_2018-04-17_final.stac-item
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50HLJ_2018-05-07_final.stac-item
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49KHR_2018-05-10_final.stac-item
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_50JLM_2018-05-30_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HPJ_2018-09-11_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HQJ_2018-09-11_final.stac-item
2018-11-19 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2018-11-19_final.stac-item
2018-12-16 12:03:53	ga_s2bm_ard_3-2-1_49KHR_2018-12-16_final.stac-item
2018-12-19 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2018-12-19_final.stac-item
2019-01-05 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2019-01-05_final.stac-item
2019-01-29 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2019-01-29_final.stac-item
2019-03-13 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2019-03-13_final.stac-item
2019-06-11 11:56:30	ga_s2bm_ard_3-2-1_50JML_2019-06-11_final.stac-item
2019-07-04 12:05:17	ga_s2bm_ard_3-2-1_50JLR_2019-07-04_final.stac-item
2019-08-30 11:55:31	ga_s2bm_ard_3-2-1_50JLQ_2019-08-30_final.stac-item
2019-09-25 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2019-09-25_final.stac-item
2019-11-01 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2019-11-01_final.stac-item
2019-11-18 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2019-11-18_final.stac-item
2019-11-21 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2019-11-21_final.stac-item
2019-11-24 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2019-11-24_final.stac-item
2020-01-13 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2020-01-13_final.stac-item
2020-01-20 12:05:23	ga_s2bm_ard_3-2-1_49JGK_2020-01-20_final.stac-item
2020-01-23 12:15:04	ga_s2bm_ard_3-2-1_49JGL_2020-01-23_final.stac-item
2020-02-09 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2020-02-09_final.stac-item
2020-03-14 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2020-03-14_final.stac-item
2020-04-23 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2020-04-23_final.stac-item
2020-05-06 11:55:54	ga_s2bm_ard_3-2-1_50JLN_2020-05-06_final.stac-item
2020-08-21 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2020-08-21_final.stac-item
2020-09-16 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2020-09-16_final.stac-item
2020-09-29 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2020-09-29_final.stac-item
2020-11-08 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2020-11-08_final.stac-item
2020-12-08 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2020-12-08_final.stac-item
2020-12-12 11:56:19	ga_s2bm_ard_3-2-1_50JML_2020-12-12_final.stac-item
2020-12-28 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2020-12-28_final.stac-item
2020-12-28 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2020-12-28_final.stac-item
2021-01-08 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-01-08_final.stac-item
2021-01-18 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2021-01-18_final.stac-item
2021-04-11 11:55:50	ga_s2bm_ard_3-2-1_50JMN_2021-04-11_final.stac-item
2021-04-14 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2021-04-14_final.stac-item
2021-04-17 12:14:37	ga_s2bm_ard_3-2-1_49JGN_2021-04-17_final.stac-item
2021-04-27 12:14:55	ga_s2bm_ard_3-2-1_49JFM_2021-04-27_final.stac-item
2021-05-21 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2021-05-21_final.stac-item
2021-05-25 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2021-05-25_final.stac-item
2021-06-13 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2021-06-13_final.stac-item
2021-06-27 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2021-06-27_final.stac-item
2021-07-24 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2021-07-24_final.stac-item
2021-08-13 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2021-08-13_final.stac-item
2021-10-08 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2021-10-08_final.stac-item
2021-10-11 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2021-10-11_final.stac-item
2021-11-14 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2021-11-14_final.stac-item
2022-01-02 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2022-01-02_final.stac-item
2022-01-22 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2022-01-22_final.stac-item
2022-02-01 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2022-02-01_final.stac-item
2022-03-27 11:56:08	ga_s2bm_ard_3-2-1_50JLM_2022-03-27_final.stac-item
2022-04-19 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2022-04-19_final.stac-item
2022-05-19 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2022-05-19_final.stac-item
2022-05-20 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2022-05-20_final.stac-item
2022-05-26 11:55:53	ga_s2bm_ard_3-2-1_50JMN_2022-05-26_final.stac-item
2022-07-15 11:56:08	ga_s2bm_ard_3-2-1_50JNM_2022-07-15_final.stac-item
2022-08-11 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2022-08-11_final.stac-item
2022-10-03 11:56:17	ga_s2bm_ard_3-2-1_50JNL_2022-10-03_final.stac-item
2022-10-23 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2022-10-23_final.stac-item
2022-10-27 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2022-10-27_final.stac-item
2022-10-29 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2022-10-29_final.stac-item
2022-10-29 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2022-10-29_final.stac-item
2022-11-02 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2022-11-02_final.stac-item
2022-11-05 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2022-11-05_final.stac-item
2022-12-02 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2022-12-02_final.stac-item
2022-12-15 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2022-12-15_final.stac-item
2023-01-04 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2023-01-04_final.stac-item
2023-01-14 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2023-01-14_final.stac-item
2023-01-21 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2023-01-21_final.stac-item
2023-01-31 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2023-01-31_final.stac-item
2023-02-10 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2023-02-10_final.stac-item
2023-02-13 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2023-02-13_final
2023-04-01 11:56:43	ga_s2bm_ard_3-2-1_50HLK_2023-04-01_final
2023-04-18 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2023-04-18_final
2023-04-21 11:55:48	ga_s2bm_ard_3-2-1_50JKP_2023-04-21_final
2023-06-20 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2023-06-20_final
2023-09-12 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2023-09-12_final
2023-10-01 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-10-01_final
2023-12-14 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2023-12-14_final
2023-12-14 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2023-12-14_final
2024-03-02 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2024-03-02_final
2024-03-26 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2024-03-26_final
2024-03-30 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2024-03-30_final
2024-04-01 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2024-04-01_final
2024-04-18 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2024-04-18_final
2024-05-11 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2024-05-11_interim

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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