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
2017-08-14 11:34:56	ga_s2bm_ard_3-2-1_51JUJ_2017-08-14_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_51KVT_2017-08-27_final.stac-item
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_51JYF_2017-08-28_final.stac-item
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50KRC_2018-01-14_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KVQ_2018-01-31_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KXT_2018-02-20_final.stac-item
2018-02-23 11:44:25	ga_s2bm_ard_3-2-1_50HNK_2018-02-23_final.stac-item
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_51KXS_2018-02-27_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51JTL_2018-03-05_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JGJ_2018-04-20_final.stac-item
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_50JKN_2018-06-19_final.stac-item
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_50HQK_2018-06-20_final.stac-item
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_50JKM_2018-09-07_final.stac-item
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50JKP_2018-09-14_final.stac-item
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51JYL_2018-10-25_final.stac-item
2018-11-04 11:19:36	ga_s2bm_ard_3-2-1_51KYS_2018-11-04_final.stac-item
2018-11-10 11:45:48	ga_s2bm_ard_3-2-1_50JPN_2018-11-10_final.stac-item
2019-01-06 11:33:26	ga_s2bm_ard_3-2-1_51KWS_2019-01-06_final.stac-item
2019-03-06 12:05:24	ga_s2bm_ard_3-2-1_50JKQ_2019-03-06_final.stac-item
2019-03-24 11:24:15	ga_s2bm_ard_3-2-1_51KWP_2019-03-24_final.stac-item
2019-05-16 11:37:11	ga_s2bm_ard_3-2-1_50HQH_2019-05-16_final.stac-item
2019-05-25 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2019-05-25_final.stac-item
2019-06-15 11:36:41	ga_s2bm_ard_3-2-1_50HQK_2019-06-15_final.stac-item
2019-07-05 11:34:41	ga_s2bm_ard_3-2-1_51JUN_2019-07-05_final.stac-item
2019-08-14 11:36:24	ga_s2bm_ard_3-2-1_51JTF_2019-08-14_final.stac-item
2019-10-06 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2019-10-06_final.stac-item
2019-10-20 11:25:43	ga_s2bm_ard_3-2-1_51JWH_2019-10-20_final.stac-item
2019-11-25 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2019-11-25_final.stac-item
2020-02-04 11:16:30	ga_s2bm_ard_3-2-1_51HYD_2020-02-04_final.stac-item
2020-02-13 11:43:29	ga_s2bm_ard_3-2-1_51KTS_2020-02-13_final.stac-item
2020-03-01 11:32:23	ga_s2bm_ard_3-2-1_51KXA_2020-03-01_final.stac-item
2020-03-01 11:33:21	ga_s2bm_ard_3-2-1_51KXS_2020-03-01_final.stac-item
2020-03-17 11:56:16	ga_s2bm_ard_3-2-1_50JNL_2020-03-17_final.stac-item
2020-04-09 12:06:06	ga_s2bm_ard_3-2-1_50JKM_2020-04-09_final.stac-item
2020-05-09 12:03:21	ga_s2bm_ard_3-2-1_50KMC_2020-05-09_final.stac-item
2020-06-16 11:24:00	ga_s2bm_ard_3-2-1_51KXQ_2020-06-16_final.stac-item
2020-08-11 11:45:50	ga_s2bm_ard_3-2-1_51JTH_2020-08-11_final.stac-item
2020-09-10 11:46:07	ga_s2bm_ard_3-2-1_50JPM_2020-09-10_final.stac-item
2020-12-06 11:32:18	ga_s2bm_ard_3-2-1_51KVB_2020-12-06_final.stac-item
2021-01-08 11:43:24	ga_s2bm_ard_3-2-1_51KVS_2021-01-08_final.stac-item
2021-01-15 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2021-01-15_final.stac-item
2021-02-03 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2021-02-03_final.stac-item
2021-02-28 11:16:39	ga_s2bm_ard_3-2-1_51HXD_2021-02-28_final.stac-item
2021-03-23 11:26:31	ga_s2bm_ard_3-2-1_51HUE_2021-03-23_final.stac-item
2021-05-25 11:33:13	ga_s2bm_ard_3-2-1_51KWT_2021-05-25_final.stac-item
2021-06-17 11:43:23	ga_s2bm_ard_3-2-1_50KQC_2021-06-17_final.stac-item
2021-06-21 11:24:12	ga_s2bm_ard_3-2-1_51KXP_2021-06-21_final.stac-item
2021-06-21 11:25:06	ga_s2bm_ard_3-2-1_51JYK_2021-06-21_final.stac-item
2021-07-04 11:36:01	ga_s2bm_ard_3-2-1_51JUG_2021-07-04_final.stac-item
2021-07-24 11:35:14	ga_s2bm_ard_3-2-1_51JVK_2021-07-24_final.stac-item
2021-07-24 11:36:30	ga_s2bm_ard_3-2-1_51HUE_2021-07-24_final.stac-item
2021-08-15 12:15:20	ga_s2bm_ard_3-2-1_49JGK_2021-08-15_final.stac-item
2021-09-19 11:23:36	ga_s2bm_ard_3-2-1_51KYR_2021-09-19_final.stac-item
2021-09-19 11:26:40	ga_s2bm_ard_3-2-1_51HVD_2021-09-19_final.stac-item
2021-10-08 11:55:54	ga_s2bm_ard_3-2-1_50JMN_2021-10-08_final.stac-item
2021-11-18 11:26:56	ga_s2bm_ard_3-2-1_51HVC_2021-11-18_final.stac-item
2021-12-08 11:24:35	ga_s2bm_ard_3-2-1_51JXM_2021-12-08_final.stac-item
2021-12-10 12:03:21	ga_s2bm_ard_3-2-1_50KLC_2021-12-10_final.stac-item
2021-12-10 12:05:50	ga_s2bm_ard_3-2-1_50JKN_2021-12-10_final.stac-item
2021-12-21 11:33:29	ga_s2bm_ard_3-2-1_51KUS_2021-12-21_final.stac-item
2022-04-17 11:24:51	ga_s2bm_ard_3-2-1_51JXL_2022-04-17_final.stac-item
2022-04-27 11:24:16	ga_s2bm_ard_3-2-1_51JYN_2022-04-27_final.stac-item
2022-04-29 12:06:03	ga_s2bm_ard_3-2-1_50JKM_2022-04-29_final.stac-item
2022-05-23 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2022-05-23_final.stac-item
2022-06-06 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2022-06-06_final.stac-item
2022-07-09 11:37:05	ga_s2bm_ard_3-2-1_51HTC_2022-07-09_final.stac-item
2022-07-16 11:26:52	ga_s2bm_ard_3-2-1_51HUD_2022-07-16_final.stac-item
2022-07-19 11:33:03	ga_s2bm_ard_3-2-1_51KWU_2022-07-19_final.stac-item
2022-07-29 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2022-07-29_final.stac-item
2022-08-01 11:46:38	ga_s2bm_ard_3-2-1_50HPK_2022-08-01_final.stac-item
2022-08-04 11:56:18	ga_s2bm_ard_3-2-1_50JKM_2022-08-04_final.stac-item
2022-08-21 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2022-08-21_final.stac-item
2022-08-21 13:21:46	ga_s2bm_ard_3-2-1_46LHM_2022-08-21_interim
2022-08-31 11:44:03	ga_s2bm_ard_3-2-1_51KTQ_2022-08-31_final.stac-item
2022-08-31 11:44:11	ga_s2bm_ard_3-2-1_50KPV_2022-08-31_final.stac-item
2022-08-31 13:21:39	ga_s2bm_ard_3-2-1_47LKH_2022-08-31_interim
2022-09-03 13:31:35	ga_s2bm_ard_3-2-1_46LHN_2022-09-03_interim
2022-09-10 11:45:34	ga_s2bm_ard_3-2-1_50JQP_2022-09-10_final.stac-item
2022-10-01 11:15:53	ga_s2bm_ard_3-2-1_51JYG_2022-10-01_final.stac-item
2022-10-27 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2022-10-27_final.stac-item
2022-11-09 11:46:12	ga_s2bm_ard_3-2-1_50JMM_2022-11-09_final.stac-item
2022-11-13 11:23:00	ga_s2bm_ard_3-2-1_51KXU_2022-11-13_final.stac-item
2022-11-29 11:42:08	ga_s2bm_ard_3-2-1_51KWB_2022-11-29_final.stac-item
2022-12-26 11:32:31	ga_s2bm_ard_3-2-1_51KVA_2022-12-26_final.stac-item
2023-01-05 11:33:07	ga_s2bm_ard_3-2-1_51KXT_2023-01-05_final.stac-item
2023-03-06 11:36:31	ga_s2bm_ard_3-2-1_51HUE_2023-03-06_final
2023-03-06 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2023-03-06_final
2023-03-29 11:44:26	ga_s2bm_ard_3-2-1_50KPU_2023-03-29_final
2023-04-25 11:35:52	ga_s2bm_ard_3-2-1_50JQN_2023-04-25_final
2023-05-01 11:52:36	ga_s2bm_ard_3-2-1_50KQF_2023-05-01_final
2023-05-01 11:53:45	ga_s2bm_ard_3-2-1_50KMB_2023-05-01_final
2023-06-13 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-06-13_final
2023-06-17 11:44:21	ga_s2bm_ard_3-2-1_50KRU_2023-06-17_final
2023-07-30 11:56:56	ga_s2bm_ard_3-2-1_50HMJ_2023-07-30_final
2023-09-05 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2023-09-05_final
2023-12-30 12:03:15	ga_s2bm_ard_3-2-1_50KNC_2023-12-30_final
2024-01-10 11:33:36	ga_s2bm_ard_3-2-1_51KXR_2024-01-10_final
2024-02-22 11:42:22	ga_s2bm_ard_3-2-1_51KWA_2024-02-22_final
2024-03-03 11:46:37	ga_s2bm_ard_3-2-1_50HMK_2024-03-03_final
2024-05-06 11:26:59	ga_s2bm_ard_3-2-1_51HVC_2024-05-06_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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