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
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JNM_2017-08-20_final.stac-item
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51HUC_2017-11-12_final.stac-item
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KVB_2017-11-12_final.stac-item
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51KUV_2018-03-25_final.stac-item
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_51KUU_2018-04-14_final.stac-item
2018-05-04 11:38:16	ga_s2bm_ard_3-2-1_51KUV_2018-05-04_final.stac-item
2018-05-11 11:26:19	ga_s2bm_ard_3-2-1_51KVA_2018-05-11_final.stac-item
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KWS_2018-05-11_final.stac-item
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51HUD_2018-05-31_final.stac-item
2018-08-22 11:38:17	ga_s2bm_ard_3-2-1_51KUU_2018-08-22_final.stac-item
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50JNR_2018-10-04_final.stac-item
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KUS_2018-10-31_final.stac-item
2019-03-20 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2019-03-20_final.stac-item
2019-04-29 11:44:05	ga_s2bm_ard_3-2-1_51KUQ_2019-04-29_final.stac-item
2019-06-05 11:34:11	ga_s2bm_ard_3-2-1_51KUQ_2019-06-05_final.stac-item
2019-06-21 11:56:38	ga_s2bm_ard_3-2-1_50HNK_2019-06-21_final.stac-item
2019-06-22 11:25:32	ga_s2bm_ard_3-2-1_51JXJ_2019-06-22_final.stac-item
2019-07-21 11:53:19	ga_s2bm_ard_3-2-1_50KRC_2019-07-21_final.stac-item
2019-07-28 11:42:54	ga_s2bm_ard_3-2-1_51KUV_2019-07-28_final.stac-item
2019-08-14 11:32:26	ga_s2bm_ard_3-2-1_51KVB_2019-08-14_final.stac-item
2019-08-24 11:36:48	ga_s2bm_ard_3-2-1_51HUD_2019-08-24_final.stac-item
2019-08-31 11:23:46	ga_s2bm_ard_3-2-1_51KXR_2019-08-31_final.stac-item
2019-10-13 11:32:33	ga_s2bm_ard_3-2-1_51KVA_2019-10-13_final.stac-item
2019-10-16 11:42:14	ga_s2bm_ard_3-2-1_51KVB_2019-10-16_final.stac-item
2019-10-23 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2019-10-23_final.stac-item
2019-11-12 11:32:31	ga_s2bm_ard_3-2-1_51KVA_2019-11-12_final.stac-item
2020-01-21 11:37:00	ga_s2bm_ard_3-2-1_50HPH_2020-01-21_final.stac-item
2020-03-04 11:43:56	ga_s2bm_ard_3-2-1_51KUQ_2020-03-04_final.stac-item
2020-05-07 11:23:38	ga_s2bm_ard_3-2-1_51KXR_2020-05-07_final.stac-item
2020-05-07 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2020-05-07_final.stac-item
2020-05-09 12:04:08	ga_s2bm_ard_3-2-1_50KLV_2020-05-09_final.stac-item
2020-05-14 11:15:41	ga_s2bm_ard_3-2-1_51JXH_2020-05-14_final.stac-item
2020-05-17 11:26:43	ga_s2bm_ard_3-2-1_51HVD_2020-05-17_final.stac-item
2020-06-29 11:33:59	ga_s2bm_ard_3-2-1_51KWQ_2020-06-29_final.stac-item
2020-06-29 11:36:16	ga_s2bm_ard_3-2-1_51JUF_2020-06-29_final.stac-item
2020-07-22 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2020-07-22_final.stac-item
2020-08-01 11:43:39	ga_s2bm_ard_3-2-1_51KVR_2020-08-01_final.stac-item
2020-09-07 11:33:41	ga_s2bm_ard_3-2-1_51KXR_2020-09-07_final.stac-item
2020-09-29 12:13:59	ga_s2bm_ard_3-2-1_50KKA_2020-09-29_final.stac-item
2020-10-07 11:32:18	ga_s2bm_ard_3-2-1_51KWB_2020-10-07_final.stac-item
2020-11-16 11:33:53	ga_s2bm_ard_3-2-1_51KXQ_2020-11-16_final.stac-item
2020-12-26 11:32:41	ga_s2bm_ard_3-2-1_51KWV_2020-12-26_final.stac-item
2021-01-08 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2021-01-08_final.stac-item
2021-01-15 11:33:38	ga_s2bm_ard_3-2-1_51KXR_2021-01-15_final.stac-item
2021-01-25 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2021-01-25_final.stac-item
2021-01-29 11:14:23	ga_s2bm_ard_3-2-1_51JZN_2021-01-29_final.stac-item
2021-02-04 11:32:11	ga_s2bm_ard_3-2-1_51KXB_2021-02-04_final.stac-item
2021-02-10 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2021-02-10_final.stac-item
2021-02-13 12:03:42	ga_s2bm_ard_3-2-1_50KNA_2021-02-13_final.stac-item
2021-03-05 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2021-03-05_final.stac-item
2021-04-11 11:52:16	ga_s2bm_ard_3-2-1_50KQG_2021-04-11_final
2021-05-04 12:03:34	ga_s2bm_ard_3-2-1_50KMB_2021-05-04_final.stac-item
2021-06-03 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2021-06-03_final.stac-item
2021-07-04 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2021-07-04_final.stac-item
2021-09-05 11:43:40	ga_s2bm_ard_3-2-1_51KUR_2021-09-05_final.stac-item
2021-09-15 11:46:50	ga_s2bm_ard_3-2-1_50HQH_2021-09-15_final.stac-item
2021-10-11 12:04:49	ga_s2bm_ard_3-2-1_50JKT_2021-10-11_final.stac-item
2021-10-22 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2021-10-22_final.stac-item
2021-10-28 11:56:23	ga_s2bm_ard_3-2-1_50JML_2021-10-28_final.stac-item
2021-10-31 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2021-10-31_final.stac-item
2021-11-28 11:23:38	ga_s2bm_ard_3-2-1_51KXR_2021-11-28_final.stac-item
2021-12-27 11:56:32	ga_s2bm_ard_3-2-1_50HMK_2021-12-27_final.stac-item
2021-12-31 11:33:34	ga_s2bm_ard_3-2-1_51KXR_2021-12-31_final.stac-item
2022-02-06 11:23:51	ga_s2bm_ard_3-2-1_51KXQ_2022-02-06_final.stac-item
2022-03-11 11:37:06	ga_s2bm_ard_3-2-1_50HQH_2022-03-11_final.stac-item
2022-04-30 11:32:37	ga_s2bm_ard_3-2-1_51KWV_2022-04-30_final.stac-item
2022-04-30 11:35:01	ga_s2bm_ard_3-2-1_51JWK_2022-04-30_final.stac-item
2022-06-21 12:14:23	ga_s2bm_ard_3-2-1_50KKU_2022-06-21_final.stac-item
2022-06-22 11:44:03	ga_s2bm_ard_3-2-1_51KUQ_2022-06-22_final.stac-item
2022-07-09 11:32:24	ga_s2bm_ard_3-2-1_51KVB_2022-07-09_final.stac-item
2022-08-04 11:57:14	ga_s2bm_ard_3-2-1_50HLH_2022-08-04_final.stac-item
2022-08-30 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2022-08-30_final.stac-item
2022-09-27 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2022-09-27_final.stac-item
2022-10-20 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2022-10-20_final.stac-item
2022-11-15 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2022-11-15_final.stac-item
2022-11-26 11:34:02	ga_s2bm_ard_3-2-1_51KUQ_2022-11-26_final.stac-item
2022-12-02 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2022-12-02_final.stac-item
2023-02-03 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2023-02-03_final.stac-item
2023-02-04 11:34:08	ga_s2bm_ard_3-2-1_51KWP_2023-02-04_final
2023-02-14 11:32:13	ga_s2bm_ard_3-2-1_51KWB_2023-02-14_final
2023-04-29 11:17:01	ga_s2bm_ard_3-2-1_51HWC_2023-04-29_final
2023-05-08 11:43:32	ga_s2bm_ard_3-2-1_51KUS_2023-05-08_final
2023-05-31 11:54:37	ga_s2bm_ard_3-2-1_50KLU_2023-05-31_final
2023-06-04 11:33:20	ga_s2bm_ard_3-2-1_51KVT_2023-06-04_final
2023-06-04 11:33:57	ga_s2bm_ard_3-2-1_51KXQ_2023-06-04_final
2023-07-04 11:37:23	ga_s2bm_ard_3-2-1_50HQG_2023-07-04_final
2023-07-08 11:15:48	ga_s2bm_ard_3-2-1_51JXH_2023-07-08_final
2023-10-02 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2023-10-02_final
2023-11-01 11:37:20	ga_s2bm_ard_3-2-1_50HQG_2023-11-01_final
2023-11-04 11:43:07	ga_s2bm_ard_3-2-1_50KRD_2023-11-04_final
2023-11-10 12:04:41	ga_s2bm_ard_3-2-1_50JLT_2023-11-10_final
2023-11-24 11:46:03	ga_s2bm_ard_3-2-1_50JNM_2023-11-24_final
2023-12-25 11:16:38	ga_s2bm_ard_3-2-1_51HYD_2023-12-25_final
2024-01-27 11:24:31	ga_s2bm_ard_3-2-1_51JZM_2024-01-27_final
2024-01-30 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2024-01-30_final
2024-01-30 11:36:55	ga_s2bm_ard_3-2-1_51HUC_2024-01-30_final
2024-02-13 11:16:41	ga_s2bm_ard_3-2-1_51HXD_2024-02-13_final
2024-03-27 11:25:10	ga_s2bm_ard_3-2-1_51JXK_2024-03-27_final
2024-04-19 11:34:11	ga_s2bm_ard_3-2-1_51KWP_2024-04-19_final
2024-04-22 11:46:15	ga_s2bm_ard_3-2-1_50JQL_2024-04-22_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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