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
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_51KUV_2017-11-05_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_51KTS_2018-01-04_final.stac-item
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_50JKP_2018-02-09_final.stac-item
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HLH_2018-06-03_final.stac-item
2018-08-19 11:26:54	ga_s2bm_ard_3-2-1_51KVB_2018-08-19_final.stac-item
2018-08-19 11:32:18	ga_s2bm_ard_3-2-1_51KVR_2018-08-19_final.stac-item
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HPJ_2018-08-22_final.stac-item
2018-11-20 11:43:07	ga_s2bm_ard_3-2-1_51KVT_2018-11-20_final.stac-item
2018-11-29 12:14:52	ga_s2bm_ard_3-2-1_49JGM_2018-11-29_final.stac-item
2019-01-09 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2019-01-09_final.stac-item
2019-01-18 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-01-18_final.stac-item
2019-01-19 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2019-01-19_final.stac-item
2019-01-29 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2019-01-29_final.stac-item
2019-04-02 11:55:49	ga_s2bm_ard_3-2-1_50JKP_2019-04-02_final.stac-item
2019-04-29 11:43:32	ga_s2bm_ard_3-2-1_51KVS_2019-04-29_final.stac-item
2019-05-06 11:37:05	ga_s2bm_ard_3-2-1_51HUC_2019-05-06_final.stac-item
2019-05-29 11:47:15	ga_s2bm_ard_3-2-1_50HNH_2019-05-29_final.stac-item
2019-06-05 11:33:53	ga_s2bm_ard_3-2-1_51KVR_2019-06-05_final.stac-item
2019-07-25 11:35:21	ga_s2bm_ard_3-2-1_51JVK_2019-07-25_final.stac-item
2019-08-14 11:33:29	ga_s2bm_ard_3-2-1_51KUT_2019-08-14_final.stac-item
2019-09-16 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2019-09-16_final.stac-item
2019-09-22 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2019-09-22_final.stac-item
2019-09-26 11:42:22	ga_s2bm_ard_3-2-1_51KVA_2019-09-26_final.stac-item
2019-10-06 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2019-10-06_final.stac-item
2019-10-23 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2019-10-23_final.stac-item
2019-11-01 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2019-11-01_final.stac-item
2019-11-24 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2019-11-24_final.stac-item
2019-12-03 11:06:31	ga_s2bm_ard_3-2-1_51HYD_2019-12-03_final.stac-item
2020-01-01 11:33:11	ga_s2bm_ard_3-2-1_51KVT_2020-01-01_final.stac-item
2020-01-11 11:33:40	ga_s2bm_ard_3-2-1_51KVR_2020-01-11_final.stac-item
2020-01-14 11:43:13	ga_s2bm_ard_3-2-1_50KRC_2020-01-14_final.stac-item
2020-01-24 11:42:39	ga_s2bm_ard_3-2-1_51KUV_2020-01-24_final.stac-item
2020-01-30 12:04:53	ga_s2bm_ard_3-2-1_49JGM_2020-01-30_final.stac-item
2020-01-30 12:05:48	ga_s2bm_ard_3-2-1_50JKN_2020-01-30_final.stac-item
2020-02-19 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2020-02-19_final.stac-item
2020-02-23 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2020-02-23_final.stac-item
2020-03-30 12:06:02	ga_s2bm_ard_3-2-1_50JLM_2020-03-30_final.stac-item
2020-04-02 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2020-04-02_final.stac-item
2020-05-13 11:43:24	ga_s2bm_ard_3-2-1_51KVS_2020-05-13_final.stac-item
2020-08-01 11:43:14	ga_s2bm_ard_3-2-1_51KVT_2020-08-01_final.stac-item
2020-08-01 11:43:21	ga_s2bm_ard_3-2-1_51KTT_2020-08-01_final.stac-item
2020-08-04 11:53:27	ga_s2bm_ard_3-2-1_50KPC_2020-08-04_final.stac-item
2020-09-10 11:46:11	ga_s2bm_ard_3-2-1_50JNM_2020-09-10_final.stac-item
2021-01-02 11:26:10	ga_s2bm_ard_3-2-1_51JWF_2021-01-02_final.stac-item
2021-01-29 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2021-01-29_final
2021-01-31 11:53:35	ga_s2bm_ard_3-2-1_50KPB_2021-01-31_final.stac-item
2021-02-04 11:33:59	ga_s2bm_ard_3-2-1_51KVQ_2021-02-04_final.stac-item
2021-02-11 11:26:57	ga_s2bm_ard_3-2-1_51HVC_2021-02-11_final.stac-item
2021-02-27 11:43:42	ga_s2bm_ard_3-2-1_51KUR_2021-02-27_final.stac-item
2021-04-04 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2021-04-04_final.stac-item
2021-06-16 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2021-06-16_final.stac-item
2021-06-27 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2021-06-27_final.stac-item
2021-07-17 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2021-07-17_final
2021-07-31 11:25:44	ga_s2bm_ard_3-2-1_51JWH_2021-07-31_final.stac-item
2021-08-16 11:42:13	ga_s2bm_ard_3-2-1_51KVB_2021-08-16_final.stac-item
2021-08-23 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2021-08-23_final.stac-item
2021-09-25 11:43:16	ga_s2bm_ard_3-2-1_51KTT_2021-09-25_final.stac-item
2021-10-28 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2021-10-28_final.stac-item
2021-11-10 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2021-11-10_final.stac-item
2021-11-27 11:56:21	ga_s2bm_ard_3-2-1_50JLL_2021-11-27_final.stac-item
2021-12-27 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2021-12-27_final.stac-item
2022-01-03 11:42:23	ga_s2bm_ard_3-2-1_51KVA_2022-01-03_final.stac-item
2022-01-29 12:04:54	ga_s2bm_ard_3-2-1_49JGM_2022-01-29_final.stac-item
2022-02-22 11:43:19	ga_s2bm_ard_3-2-1_51KVS_2022-02-22_final.stac-item
2022-03-20 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2022-03-20_final.stac-item
2022-04-10 11:33:31	ga_s2bm_ard_3-2-1_51KUS_2022-04-10_final.stac-item
2022-04-20 11:33:40	ga_s2bm_ard_3-2-1_51KVR_2022-04-20_final.stac-item
2022-05-10 11:33:31	ga_s2bm_ard_3-2-1_51KUS_2022-05-10_final.stac-item
2022-05-23 11:43:25	ga_s2bm_ard_3-2-1_51KVS_2022-05-23_final.stac-item
2022-07-09 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2022-07-09_final.stac-item
2022-07-22 11:43:34	ga_s2bm_ard_3-2-1_51KUS_2022-07-22_final.stac-item
2022-08-01 11:42:32	ga_s2bm_ard_3-2-1_51KVA_2022-08-01_final.stac-item
2022-08-08 11:33:26	ga_s2bm_ard_3-2-1_51KUT_2022-08-08_final.stac-item
2022-08-31 11:43:23	ga_s2bm_ard_3-2-1_50KQC_2022-08-31_final.stac-item
2022-09-10 11:43:13	ga_s2bm_ard_3-2-1_51KVT_2022-09-10_final.stac-item
2022-10-17 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2022-10-17_final.stac-item
2022-10-29 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2022-10-29_final.stac-item
2022-12-10 12:50:55	ga_s2bm_ard_3-2-1_48LXP_2022-12-10_interim
2022-12-22 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2022-12-22_final.stac-item
2022-12-28 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2022-12-28_final.stac-item
2022-12-29 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2022-12-29_final.stac-item
2023-01-05 11:33:46	ga_s2bm_ard_3-2-1_51KUR_2023-01-05_final.stac-item
2023-01-05 11:34:12	ga_s2bm_ard_3-2-1_51KVP_2023-01-05_final.stac-item
2023-02-14 11:34:14	ga_s2bm_ard_3-2-1_51JXN_2023-02-14_final
2023-06-14 11:36:51	ga_s2bm_ard_3-2-1_51HTD_2023-06-14_final
2023-07-01 11:25:44	ga_s2bm_ard_3-2-1_51JXH_2023-07-01_final
2023-08-10 11:26:11	ga_s2bm_ard_3-2-1_51JUG_2023-08-10_final
2023-10-09 11:26:37	ga_s2bm_ard_3-2-1_51HXD_2023-10-09_final
2023-10-25 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2023-10-25_final
2023-11-14 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2023-11-14_final
2023-11-20 12:03:24	ga_s2bm_ard_3-2-1_50KLC_2023-11-20_final
2023-12-04 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2023-12-04_final
2023-12-11 11:36:54	ga_s2bm_ard_3-2-1_51HUC_2023-12-11_final
2023-12-14 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2023-12-14_final
2024-01-16 11:52:33	ga_s2bm_ard_3-2-1_50KQF_2024-01-16_final
2024-02-12 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2024-02-12_final
2024-03-04 11:14:34	ga_s2bm_ard_3-2-1_51JZM_2024-03-04_final
2024-04-08 12:03:22	ga_s2bm_ard_3-2-1_50KMC_2024-04-08_final
2024-04-22 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2024-04-22_final
2024-04-25 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2024-04-25_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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