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
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KXQ_2017-11-22_final.stac-item
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50HLK_2018-06-26_final.stac-item
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51KWT_2018-08-09_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_51KVA_2018-09-21_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_51KWB_2018-09-21_final.stac-item
2018-09-25 11:17:51	ga_s2bm_ard_3-2-1_51KXS_2018-09-25_final.stac-item
2018-09-25 11:23:23	ga_s2bm_ard_3-2-1_51JYG_2018-09-25_final.stac-item
2018-10-01 11:38:19	ga_s2bm_ard_3-2-1_51KUU_2018-10-01_final.stac-item
2018-10-01 11:38:19	ga_s2bm_ard_3-2-1_51KVU_2018-10-01_final.stac-item
2018-11-06 12:03:41	ga_s2bm_ard_3-2-1_50KNA_2018-11-06_final.stac-item
2018-11-07 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2018-11-07_final.stac-item
2018-11-07 11:34:08	ga_s2bm_ard_3-2-1_51KWP_2018-11-07_final.stac-item
2018-11-09 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2018-11-09_final.stac-item
2018-11-17 11:34:22	ga_s2bm_ard_3-2-1_51JWN_2018-11-17_final.stac-item
2018-11-20 11:43:40	ga_s2bm_ard_3-2-1_51KUR_2018-11-20_final.stac-item
2018-11-26 12:03:40	ga_s2bm_ard_3-2-1_50KNA_2018-11-26_final.stac-item
2018-12-14 11:23:36	ga_s2bm_ard_3-2-1_51KXR_2018-12-14_final.stac-item
2018-12-14 11:24:16	ga_s2bm_ard_3-2-1_51JYN_2018-12-14_final.stac-item
2018-12-17 11:33:47	ga_s2bm_ard_3-2-1_51KXQ_2018-12-17_final.stac-item
2019-01-09 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2019-01-09_final.stac-item
2019-02-15 11:33:40	ga_s2bm_ard_3-2-1_51KXR_2019-02-15_final.stac-item
2019-09-03 11:33:14	ga_s2bm_ard_3-2-1_51KXT_2019-09-03_final.stac-item
2019-10-13 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2019-10-13_final.stac-item
2019-11-02 11:33:34	ga_s2bm_ard_3-2-1_51KUS_2019-11-02_final.stac-item
2019-11-02 11:34:09	ga_s2bm_ard_3-2-1_51KUP_2019-11-02_final.stac-item
2019-11-12 11:32:57	ga_s2bm_ard_3-2-1_51KWU_2019-11-12_final.stac-item
2019-11-14 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2019-11-14_final.stac-item
2019-11-21 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2019-11-21_final.stac-item
2019-11-22 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2019-11-22_final.stac-item
2019-11-22 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2019-11-22_final.stac-item
2019-12-16 11:14:24	ga_s2bm_ard_3-2-1_51JYN_2019-12-16_final.stac-item
2019-12-25 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2019-12-25_final.stac-item
2019-12-25 11:44:46	ga_s2bm_ard_3-2-1_51JUL_2019-12-25_final.stac-item
2020-01-21 11:33:46	ga_s2bm_ard_3-2-1_51KXQ_2020-01-21_final.stac-item
2020-01-24 11:43:05	ga_s2bm_ard_3-2-1_51KUT_2020-01-24_final.stac-item
2020-01-28 11:23:20	ga_s2bm_ard_3-2-1_51KXS_2020-01-28_final.stac-item
2020-01-28 11:23:35	ga_s2bm_ard_3-2-1_51KXR_2020-01-28_final.stac-item
2020-04-17 11:23:09	ga_s2bm_ard_3-2-1_51KXT_2020-04-17_final.stac-item
2020-05-30 11:33:25	ga_s2bm_ard_3-2-1_51KXS_2020-05-30_final.stac-item
2020-06-02 11:43:16	ga_s2bm_ard_3-2-1_51KUT_2020-06-02_final.stac-item
2020-06-22 11:43:17	ga_s2bm_ard_3-2-1_51KUT_2020-06-22_final.stac-item
2020-07-02 11:42:16	ga_s2bm_ard_3-2-1_51KUB_2020-07-02_final
2020-07-22 11:42:11	ga_s2bm_ard_3-2-1_51KWB_2020-07-22_final.stac-item
2020-08-08 11:33:31	ga_s2bm_ard_3-2-1_51KWS_2020-08-08_final.stac-item
2020-09-03 11:52:37	ga_s2bm_ard_3-2-1_50KQF_2020-09-03_final
2020-09-10 11:43:27	ga_s2bm_ard_3-2-1_51KVS_2020-09-10_final.stac-item
2020-09-20 11:44:00	ga_s2bm_ard_3-2-1_51KUQ_2020-09-20_final.stac-item
2020-09-29 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2020-09-29_final.stac-item
2020-09-30 11:43:47	ga_s2bm_ard_3-2-1_51KUR_2020-09-30_final.stac-item
2020-10-07 11:34:06	ga_s2bm_ard_3-2-1_51KUQ_2020-10-07_final.stac-item
2020-11-13 11:23:14	ga_s2bm_ard_3-2-1_51KXT_2020-11-13_final.stac-item
2020-11-16 11:32:30	ga_s2bm_ard_3-2-1_51KWA_2020-11-16_final.stac-item
2020-12-29 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2020-12-29_final.stac-item
2021-06-14 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2021-06-14_final.stac-item
2021-06-18 11:16:38	ga_s2bm_ard_3-2-1_51HYD_2021-06-18_final.stac-item
2021-07-24 11:33:15	ga_s2bm_ard_3-2-1_51KWT_2021-07-24_final.stac-item
2021-08-19 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2021-08-19_final
2021-08-29 11:52:17	ga_s2bm_ard_3-2-1_50KQG_2021-08-29_final
2021-09-05 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2021-09-05_final.stac-item
2021-09-22 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2021-09-22_final.stac-item
2021-11-04 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2021-11-04_final.stac-item
2021-11-11 11:33:47	ga_s2bm_ard_3-2-1_51KUR_2021-11-11_final.stac-item
2021-11-24 11:46:58	ga_s2bm_ard_3-2-1_50HPH_2021-11-24_final.stac-item
2021-11-28 11:23:38	ga_s2bm_ard_3-2-1_51KXR_2021-11-28_final.stac-item
2021-11-30 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2021-11-30_final.stac-item
2021-11-30 12:06:00	ga_s2bm_ard_3-2-1_50JLM_2021-11-30_final.stac-item
2021-12-11 11:33:18	ga_s2bm_ard_3-2-1_51KXS_2021-12-11_final.stac-item
2021-12-11 11:33:33	ga_s2bm_ard_3-2-1_51KXR_2021-12-11_final.stac-item
2021-12-21 11:36:52	ga_s2bm_ard_3-2-1_51HUC_2021-12-21_final.stac-item
2021-12-24 11:46:48	ga_s2bm_ard_3-2-1_50HQH_2021-12-24_final.stac-item
2021-12-31 11:33:18	ga_s2bm_ard_3-2-1_51KUT_2021-12-31_final.stac-item
2022-03-01 11:36:30	ga_s2bm_ard_3-2-1_51HVD_2022-03-01_final.stac-item
2022-06-05 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2022-06-05_final.stac-item
2022-06-15 11:56:33	ga_s2bm_ard_3-2-1_50HNK_2022-06-15_final.stac-item
2022-07-12 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2022-07-12_final.stac-item
2022-08-01 11:43:08	ga_s2bm_ard_3-2-1_51KTU_2022-08-01_final.stac-item
2022-08-25 11:26:44	ga_s2bm_ard_3-2-1_51HVD_2022-08-25_final.stac-item
2022-09-27 11:33:38	ga_s2bm_ard_3-2-1_51KXR_2022-09-27_final.stac-item
2022-09-30 11:46:53	ga_s2bm_ard_3-2-1_50HQH_2022-09-30_final.stac-item
2022-10-14 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2022-10-14_final.stac-item
2022-10-20 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2022-10-20_final.stac-item
2022-12-09 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2022-12-09_final.stac-item
2023-01-04 12:06:02	ga_s2bm_ard_3-2-1_50JLM_2023-01-04_final.stac-item
2023-01-18 11:42:39	ga_s2bm_ard_3-2-1_51KVV_2023-01-18_final.stac-item
2023-03-13 11:27:02	ga_s2bm_ard_3-2-1_51HVC_2023-03-13_final
2023-06-24 11:33:27	ga_s2bm_ard_3-2-1_51KXS_2023-06-24_final
2023-07-17 11:47:15	ga_s2bm_ard_3-2-1_50HMH_2023-07-17_final
2023-08-03 11:33:57	ga_s2bm_ard_3-2-1_51KXQ_2023-08-03_final
2023-08-06 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2023-08-06_final
2023-09-05 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2023-09-05_final
2023-11-11 11:33:25	ga_s2bm_ard_3-2-1_51KXS_2023-11-11_final
2023-11-28 11:24:37	ga_s2bm_ard_3-2-1_51JXM_2023-11-28_final
2023-12-17 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2023-12-17_final
2023-12-21 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2023-12-21_final
2024-01-10 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2024-01-10_final
2024-01-13 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2024-01-13_final
2024-02-26 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2024-02-26_final
2024-03-03 11:46:45	ga_s2bm_ard_3-2-1_50HPJ_2024-03-03_final
2024-03-03 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2024-03-03_final
2024-03-19 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2024-03-19_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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