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
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_51KUQ_2017-09-16_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KUT_2017-12-05_final.stac-item
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49JGJ_2018-01-30_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JKM_2018-04-07_final.stac-item
2018-07-03 11:38:24	ga_s2bm_ard_3-2-1_51KUT_2018-07-03_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_51KUT_2018-07-23_final.stac-item
2018-09-20 12:13:14	ga_s2bm_ard_3-2-1_49KHR_2018-09-20_final.stac-item
2018-09-22 11:12:44	ga_s2bm_ard_3-2-1_51JYG_2018-09-22_final.stac-item
2018-09-25 11:23:23	ga_s2bm_ard_3-2-1_51JXG_2018-09-25_final.stac-item
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_50KNA_2018-09-27_final.stac-item
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_51KUU_2018-10-11_final.stac-item
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_51KVU_2018-10-11_final.stac-item
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_51KVV_2018-10-11_final.stac-item
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50KNA_2018-10-17_final.stac-item
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_50HPJ_2018-10-18_final.stac-item
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KUR_2018-10-31_final.stac-item
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KVU_2018-10-31_final.stac-item
2018-11-07 11:34:00	ga_s2bm_ard_3-2-1_51KUQ_2018-11-07_final.stac-item
2018-11-10 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2018-11-10_final.stac-item
2018-11-14 11:25:50	ga_s2bm_ard_3-2-1_51JXG_2018-11-14_final.stac-item
2018-11-17 11:32:26	ga_s2bm_ard_3-2-1_51KWA_2018-11-17_final.stac-item
2018-11-17 11:34:08	ga_s2bm_ard_3-2-1_51KWP_2018-11-17_final.stac-item
2018-11-19 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2018-11-19_final.stac-item
2018-11-30 11:43:07	ga_s2bm_ard_3-2-1_51KVT_2018-11-30_final.stac-item
2018-12-17 11:35:02	ga_s2bm_ard_3-2-1_51JWK_2018-12-17_final.stac-item
2019-06-18 11:43:32	ga_s2bm_ard_3-2-1_51KVS_2019-06-18_final.stac-item
2019-09-22 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2019-09-22_final.stac-item
2019-10-26 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2019-10-26_final.stac-item
2019-10-26 11:43:26	ga_s2bm_ard_3-2-1_51KVS_2019-10-26_final.stac-item
2019-11-05 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2019-11-05_final.stac-item
2019-11-05 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2019-11-05_final.stac-item
2019-11-12 11:32:14	ga_s2bm_ard_3-2-1_51KWB_2019-11-12_final.stac-item
2019-11-15 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2019-11-15_final.stac-item
2019-12-12 11:33:42	ga_s2bm_ard_3-2-1_51KUR_2019-12-12_final.stac-item
2019-12-12 11:34:05	ga_s2bm_ard_3-2-1_51KWP_2019-12-12_final.stac-item
2019-12-15 11:42:51	ga_s2bm_ard_3-2-1_51KVU_2019-12-15_final.stac-item
2019-12-22 11:33:40	ga_s2bm_ard_3-2-1_51KVR_2019-12-22_final.stac-item
2020-05-10 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2020-05-10_final.stac-item
2020-09-03 11:52:40	ga_s2bm_ard_3-2-1_50KPF_2020-09-03_final
2020-09-10 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2020-09-10_final.stac-item
2020-09-16 12:03:46	ga_s2bm_ard_3-2-1_50KNA_2020-09-16_final.stac-item
2020-09-17 11:33:24	ga_s2bm_ard_3-2-1_51KUT_2020-09-17_final.stac-item
2020-09-30 11:42:12	ga_s2bm_ard_3-2-1_51KWB_2020-09-30_final.stac-item
2020-11-16 11:33:49	ga_s2bm_ard_3-2-1_51KUR_2020-11-16_final.stac-item
2020-12-06 11:32:27	ga_s2bm_ard_3-2-1_51KWA_2020-12-06_final.stac-item
2020-12-12 11:53:33	ga_s2bm_ard_3-2-1_50KPB_2020-12-12_final.stac-item
2021-01-14 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2021-01-14_final.stac-item
2021-01-28 11:43:24	ga_s2bm_ard_3-2-1_51KVS_2021-01-28_final.stac-item
2021-02-13 12:03:42	ga_s2bm_ard_3-2-1_50KNA_2021-02-13_final.stac-item
2021-04-05 11:36:31	ga_s2bm_ard_3-2-1_51HVD_2021-04-05_final.stac-item
2021-09-18 11:56:18	ga_s2bm_ard_3-2-1_50JML_2021-09-18_final.stac-item
2021-09-22 11:36:55	ga_s2bm_ard_3-2-1_51HUC_2021-09-22_final.stac-item
2021-10-12 11:33:49	ga_s2bm_ard_3-2-1_51KUR_2021-10-12_final.stac-item
2021-11-21 11:33:39	ga_s2bm_ard_3-2-1_51KWR_2021-11-21_final.stac-item
2021-11-21 11:36:54	ga_s2bm_ard_3-2-1_51HUC_2021-11-21_final.stac-item
2021-11-21 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2021-11-21_final.stac-item
2021-12-08 11:26:52	ga_s2bm_ard_3-2-1_51HVC_2021-12-08_final.stac-item
2021-12-24 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2021-12-24_final.stac-item
2021-12-27 11:52:15	ga_s2bm_ard_3-2-1_50KQG_2021-12-27_final
2021-12-28 11:26:54	ga_s2bm_ard_3-2-1_51HVC_2021-12-28_final.stac-item
2022-02-02 11:46:56	ga_s2bm_ard_3-2-1_50HPH_2022-02-02_final.stac-item
2022-02-06 11:26:53	ga_s2bm_ard_3-2-1_51HVC_2022-02-06_final.stac-item
2022-02-18 12:05:58	ga_s2bm_ard_3-2-1_50JLM_2022-02-18_final.stac-item
2022-02-22 11:46:48	ga_s2bm_ard_3-2-1_50HQH_2022-02-22_final.stac-item
2022-03-24 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2022-03-24_final.stac-item
2022-04-30 11:32:40	ga_s2bm_ard_3-2-1_51KVV_2022-04-30_final.stac-item
2022-04-30 11:35:38	ga_s2bm_ard_3-2-1_51JUH_2022-04-30_final.stac-item
2022-05-27 11:24:02	ga_s2bm_ard_3-2-1_51KWQ_2022-05-27_final.stac-item
2022-06-25 11:57:14	ga_s2bm_ard_3-2-1_50HLH_2022-06-25_final.stac-item
2022-07-02 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2022-07-02_final.stac-item
2022-08-14 11:57:09	ga_s2bm_ard_3-2-1_50HMH_2022-08-14_final.stac-item
2022-08-24 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2022-08-24_final.stac-item
2022-08-31 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2022-08-31_final.stac-item
2022-09-06 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2022-09-06_final.stac-item
2022-11-09 11:43:42	ga_s2bm_ard_3-2-1_51KUR_2022-11-09_final.stac-item
2022-11-29 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2022-11-29_final.stac-item
2022-12-19 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2022-12-19_final.stac-item
2022-12-23 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2022-12-23_final.stac-item
2022-12-29 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2022-12-29_final.stac-item
2022-12-29 11:47:01	ga_s2bm_ard_3-2-1_50HPH_2022-12-29_final.stac-item
2023-01-25 11:36:50	ga_s2bm_ard_3-2-1_50HPJ_2023-01-25_final.stac-item
2023-02-17 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2023-02-17_final
2023-03-09 11:47:06	ga_s2bm_ard_3-2-1_50HPH_2023-03-09_final
2023-03-13 11:27:06	ga_s2bm_ard_3-2-1_51HUC_2023-03-13_final
2023-03-29 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2023-03-29_final
2023-05-08 11:43:27	ga_s2bm_ard_3-2-1_51KVS_2023-05-08_final
2023-05-22 11:27:12	ga_s2bm_ard_3-2-1_51HTC_2023-05-22_final
2023-06-07 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2023-06-07_final
2023-06-10 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2023-06-10_final
2023-06-21 11:26:40	ga_s2bm_ard_3-2-1_51HXD_2023-06-21_final
2023-06-27 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2023-06-27_final
2023-07-17 11:47:12	ga_s2bm_ard_3-2-1_50HNH_2023-07-17_final
2023-07-20 11:57:12	ga_s2bm_ard_3-2-1_50HMH_2023-07-20_final
2023-07-30 11:57:15	ga_s2bm_ard_3-2-1_50HLH_2023-07-30_final
2023-08-09 11:57:15	ga_s2bm_ard_3-2-1_50HLH_2023-08-09_final
2023-08-22 12:05:48	ga_s2bm_ard_3-2-1_49JGJ_2023-08-22_final
2023-10-18 11:56:32	ga_s2bm_ard_3-2-1_50HNK_2023-10-18_final
2023-11-24 11:43:06	ga_s2bm_ard_3-2-1_51KVT_2023-11-24_final
2024-02-25 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2024-02-25_final
2024-04-02 11:46:53	ga_s2bm_ard_3-2-1_50HPH_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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