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
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50HMK_2017-07-11_final.stac-item
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50HMH_2017-09-09_final.stac-item
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JLR_2017-11-18_final.stac-item
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49JGN_2017-12-01_final.stac-item
2017-12-02 11:34:20	ga_s2bm_ard_3-2-1_50HPJ_2017-12-02_final.stac-item
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49JHM_2017-12-11_final.stac-item
2017-12-24 12:13:09	ga_s2bm_ard_3-2-1_49KHR_2017-12-24_final.stac-item
2018-01-27 11:50:39	ga_s2bm_ard_3-2-1_50JML_2018-01-27_final.stac-item
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49JHM_2018-01-30_final.stac-item
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50JMM_2018-02-16_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_50JLT_2018-02-19_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49JGN_2018-04-10_final.stac-item
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50JML_2018-04-14_final.stac-item
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50HMK_2018-05-07_final.stac-item
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50JML_2018-05-14_final.stac-item
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HQJ_2018-05-24_final.stac-item
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50JLN_2018-06-16_final.stac-item
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50JML_2018-06-23_final.stac-item
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_49JGN_2018-06-29_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HMH_2018-07-23_final.stac-item
2018-11-07 11:36:35	ga_s2bm_ard_3-2-1_50HPK_2018-11-07_final.stac-item
2018-11-20 11:46:34	ga_s2bm_ard_3-2-1_50HNK_2018-11-20_final.stac-item
2018-11-27 11:36:48	ga_s2bm_ard_3-2-1_50HPJ_2018-11-27_final.stac-item
2018-12-13 11:56:44	ga_s2bm_ard_3-2-1_50HMJ_2018-12-13_final.stac-item
2018-12-27 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2018-12-27_final.stac-item
2019-01-05 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2019-01-05_final.stac-item
2019-01-16 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2019-01-16_final.stac-item
2019-01-29 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2019-01-29_final.stac-item
2019-02-04 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2019-02-04_final.stac-item
2019-03-03 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2019-03-03_final.stac-item
2019-03-30 11:46:28	ga_s2bm_ard_3-2-1_50JML_2019-03-30_final.stac-item
2019-04-12 11:56:12	ga_s2bm_ard_3-2-1_50JMM_2019-04-12_final.stac-item
2019-05-25 12:05:28	ga_s2bm_ard_3-2-1_50JLQ_2019-05-25_final.stac-item
2019-07-04 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2019-07-04_final.stac-item
2019-07-08 11:46:21	ga_s2bm_ard_3-2-1_50JMM_2019-07-08_final.stac-item
2019-09-22 12:05:37	ga_s2bm_ard_3-2-1_50JLP_2019-09-22_final.stac-item
2019-10-09 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2019-10-09_final.stac-item
2019-10-23 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2019-10-23_final.stac-item
2019-10-29 11:56:08	ga_s2bm_ard_3-2-1_50JMM_2019-10-29_final.stac-item
2019-11-15 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2019-11-15_final.stac-item
2019-12-18 11:56:17	ga_s2bm_ard_3-2-1_50JML_2019-12-18_final.stac-item
2020-01-20 12:04:51	ga_s2bm_ard_3-2-1_50JKS_2020-01-20_final.stac-item
2020-01-21 11:36:27	ga_s2bm_ard_3-2-1_50HQK_2020-01-21_final.stac-item
2020-01-24 11:46:23	ga_s2bm_ard_3-2-1_50HQK_2020-01-24_final.stac-item
2020-01-30 12:04:20	ga_s2bm_ard_3-2-1_49KHP_2020-01-30_final.stac-item
2020-02-02 12:13:51	ga_s2bm_ard_3-2-1_49KGR_2020-02-02_final.stac-item
2020-02-09 12:04:08	ga_s2bm_ard_3-2-1_49KHQ_2020-02-09_final.stac-item
2020-02-09 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2020-02-09_final.stac-item
2020-02-13 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2020-02-13_final.stac-item
2020-02-16 11:56:03	ga_s2bm_ard_3-2-1_50JMM_2020-02-16_final.stac-item
2020-03-07 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2020-03-07_final.stac-item
2020-04-29 12:05:56	ga_s2bm_ard_3-2-1_50JLM_2020-04-29_final.stac-item
2020-05-03 11:46:09	ga_s2bm_ard_3-2-1_50JMM_2020-05-03_final.stac-item
2020-05-09 12:05:26	ga_s2bm_ard_3-2-1_50JKQ_2020-05-09_final.stac-item
2020-05-13 11:46:48	ga_s2bm_ard_3-2-1_50HQJ_2020-05-13_final.stac-item
2020-05-22 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2020-05-22_final.stac-item
2020-08-01 11:46:43	ga_s2bm_ard_3-2-1_50HMK_2020-08-01_final.stac-item
2020-08-27 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2020-08-27_final.stac-item
2020-10-06 12:06:08	ga_s2bm_ard_3-2-1_50JLM_2020-10-06_final.stac-item
2020-10-30 11:46:33	ga_s2bm_ard_3-2-1_50HQK_2020-10-30_final.stac-item
2021-01-08 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2021-01-08_final.stac-item
2021-03-05 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2021-03-05_final.stac-item
2021-03-09 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2021-03-09_final.stac-item
2021-03-29 11:47:01	ga_s2bm_ard_3-2-1_50HPH_2021-03-29_final.stac-item
2021-05-11 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2021-05-11_final.stac-item
2021-07-03 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2021-07-03_final.stac-item
2021-07-07 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2021-07-07_final
2021-07-10 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2021-07-10_final.stac-item
2021-08-09 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2021-08-09_final
2021-09-21 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2021-09-21_final.stac-item
2021-11-24 11:46:22	ga_s2bm_ard_3-2-1_50JML_2021-11-24_final.stac-item
2021-12-04 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2021-12-04_final.stac-item
2022-02-18 12:05:02	ga_s2bm_ard_3-2-1_50JLR_2022-02-18_final.stac-item
2022-03-20 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2022-03-20_final.stac-item
2022-03-24 11:46:24	ga_s2bm_ard_3-2-1_50JML_2022-03-24_final.stac-item
2022-03-30 12:04:38	ga_s2bm_ard_3-2-1_49JGN_2022-03-30_final.stac-item
2022-04-16 11:56:18	ga_s2bm_ard_3-2-1_50JML_2022-04-16_final.stac-item
2022-05-06 11:56:07	ga_s2bm_ard_3-2-1_50JLM_2022-05-06_final.stac-item
2022-07-15 11:55:46	ga_s2bm_ard_3-2-1_50JLP_2022-07-15_final.stac-item
2022-07-28 12:04:47	ga_s2bm_ard_3-2-1_49JHN_2022-07-28_final.stac-item
2022-09-06 12:04:46	ga_s2bm_ard_3-2-1_50JLT_2022-09-06_final.stac-item
2022-09-13 11:55:15	ga_s2bm_ard_3-2-1_50JLR_2022-09-13_final.stac-item
2022-11-22 11:57:14	ga_s2bm_ard_3-2-1_50HMH_2022-11-22_final.stac-item
2022-12-09 11:46:09	ga_s2bm_ard_3-2-1_50JMM_2022-12-09_final.stac-item
2022-12-09 11:46:26	ga_s2bm_ard_3-2-1_50HQK_2022-12-09_final.stac-item
2023-02-10 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2023-02-10_final.stac-item
2023-02-17 11:46:24	ga_s2bm_ard_3-2-1_50JML_2023-02-17_final
2023-02-17 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2023-02-17_final
2023-03-09 11:46:59	ga_s2bm_ard_3-2-1_50HMJ_2023-03-09_final
2023-06-13 12:06:09	ga_s2bm_ard_3-2-1_50JLM_2023-06-13_final
2023-08-23 11:36:42	ga_s2bm_ard_3-2-1_50HPK_2023-08-23_final
2023-09-08 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2023-09-08_final
2023-10-15 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2023-10-15_final
2023-12-14 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2023-12-14_final
2024-01-06 11:56:22	ga_s2bm_ard_3-2-1_50JML_2024-01-06_final
2024-01-16 11:56:21	ga_s2bm_ard_3-2-1_50JML_2024-01-16_final
2024-01-19 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2024-01-19_final
2024-02-12 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2024-02-12_final
2024-03-26 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2024-03-26_final
2024-04-02 11:46:25	ga_s2bm_ard_3-2-1_50JML_2024-04-02_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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