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
2018-02-23 11:40:38	ga_s2bm_ard_3-2-1_51KUT_2018-02-23_final.stac-item
2018-06-23 11:37:58	ga_s2bm_ard_3-2-1_51KUS_2018-06-23_final.stac-item
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51KWQ_2018-07-27_final.stac-item
2018-09-01 11:46:11	ga_s2bm_ard_3-2-1_50HPJ_2018-09-01_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HMH_2018-09-11_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50KRC_2018-09-21_final.stac-item
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_50JKP_2018-09-27_final.stac-item
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KUR_2018-10-28_final.stac-item
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KUU_2018-10-31_final.stac-item
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HNH_2018-10-31_final.stac-item
2018-11-14 11:24:16	ga_s2bm_ard_3-2-1_51JZN_2018-11-14_final.stac-item
2018-11-19 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2018-11-19_final.stac-item
2018-11-20 11:43:11	ga_s2bm_ard_3-2-1_50KRC_2018-11-20_final.stac-item
2018-11-21 11:16:41	ga_s2bm_ard_3-2-1_51HWD_2018-11-21_final.stac-item
2018-12-06 12:03:25	ga_s2bm_ard_3-2-1_50KLC_2018-12-06_final.stac-item
2018-12-09 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2018-12-09_final.stac-item
2018-12-13 11:53:14	ga_s2bm_ard_3-2-1_50KPC_2018-12-13_final.stac-item
2018-12-14 11:24:12	ga_s2bm_ard_3-2-1_51JZN_2018-12-14_final.stac-item
2019-01-09 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2019-01-09_final.stac-item
2019-02-05 11:32:32	ga_s2bm_ard_3-2-1_51KVA_2019-02-05_final.stac-item
2019-03-20 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2019-03-20_final.stac-item
2019-03-30 11:43:17	ga_s2bm_ard_3-2-1_51KUT_2019-03-30_final.stac-item
2019-06-18 11:43:11	ga_s2bm_ard_3-2-1_51KTU_2019-06-18_final.stac-item
2019-06-21 11:56:16	ga_s2bm_ard_3-2-1_50JMM_2019-06-21_final.stac-item
2019-07-18 11:42:51	ga_s2bm_ard_3-2-1_51KVV_2019-07-18_final.stac-item
2019-09-20 11:24:01	ga_s2bm_ard_3-2-1_51KWQ_2019-09-20_final.stac-item
2019-10-03 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2019-10-03_final.stac-item
2020-01-07 11:52:32	ga_s2bm_ard_3-2-1_50KPF_2020-01-07_final
2020-01-11 11:32:56	ga_s2bm_ard_3-2-1_51KVU_2020-01-11_final.stac-item
2020-01-14 11:43:19	ga_s2bm_ard_3-2-1_51KVS_2020-01-14_final.stac-item
2020-01-24 11:43:51	ga_s2bm_ard_3-2-1_51KUQ_2020-01-24_final.stac-item
2020-04-03 11:43:33	ga_s2bm_ard_3-2-1_51KVR_2020-04-03_final.stac-item
2020-04-23 11:43:30	ga_s2bm_ard_3-2-1_51KVR_2020-04-23_final.stac-item
2020-06-16 11:24:17	ga_s2bm_ard_3-2-1_51KWP_2020-06-16_final.stac-item
2020-06-19 11:37:03	ga_s2bm_ard_3-2-1_51HTC_2020-06-19_final.stac-item
2020-06-22 11:42:12	ga_s2bm_ard_3-2-1_51KWB_2020-06-22_final.stac-item
2020-08-05 11:25:09	ga_s2bm_ard_3-2-1_51JYK_2020-08-05_final.stac-item
2020-08-27 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2020-08-27_final.stac-item
2020-08-28 11:33:34	ga_s2bm_ard_3-2-1_51KVS_2020-08-28_final.stac-item
2020-09-07 11:33:37	ga_s2bm_ard_3-2-1_51KUS_2020-09-07_final.stac-item
2020-09-17 11:34:34	ga_s2bm_ard_3-2-1_51JUN_2020-09-17_final.stac-item
2020-09-17 11:34:41	ga_s2bm_ard_3-2-1_51JWM_2020-09-17_final.stac-item
2020-09-29 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2020-09-29_final.stac-item
2020-10-09 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2020-10-09_final.stac-item
2020-10-27 11:33:19	ga_s2bm_ard_3-2-1_51KVT_2020-10-27_final.stac-item
2020-11-12 11:56:27	ga_s2bm_ard_3-2-1_50JNL_2020-11-12_final.stac-item
2020-12-19 11:43:54	ga_s2bm_ard_3-2-1_51KUQ_2020-12-19_final.stac-item
2021-03-13 11:27:01	ga_s2bm_ard_3-2-1_51HUC_2021-03-13_final.stac-item
2021-05-22 11:24:02	ga_s2bm_ard_3-2-1_51KWQ_2021-05-22_final.stac-item
2021-06-04 11:34:04	ga_s2bm_ard_3-2-1_51KUQ_2021-06-04_final.stac-item
2021-08-22 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2021-08-22_final.stac-item
2021-08-30 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2021-08-30_final.stac-item
2021-09-18 11:56:33	ga_s2bm_ard_3-2-1_50HMK_2021-09-18_final.stac-item
2021-10-02 11:33:48	ga_s2bm_ard_3-2-1_51KUR_2021-10-02_final.stac-item
2021-10-02 11:35:44	ga_s2bm_ard_3-2-1_51JUH_2021-10-02_final.stac-item
2021-10-02 11:36:02	ga_s2bm_ard_3-2-1_51JTG_2021-10-02_final.stac-item
2021-10-02 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2021-10-02_final.stac-item
2021-10-08 11:53:18	ga_s2bm_ard_3-2-1_50KQC_2021-10-08_final.stac-item
2021-11-24 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2021-11-24_final.stac-item
2021-12-08 11:26:54	ga_s2bm_ard_3-2-1_51HUC_2021-12-08_final.stac-item
2021-12-27 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2021-12-27_final.stac-item
2022-01-03 11:46:49	ga_s2bm_ard_3-2-1_50HQH_2022-01-03_final.stac-item
2022-01-07 11:26:54	ga_s2bm_ard_3-2-1_51HVC_2022-01-07_final.stac-item
2022-01-23 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2022-01-23_final.stac-item
2022-02-26 11:26:39	ga_s2bm_ard_3-2-1_51HVD_2022-02-26_final.stac-item
2022-05-26 11:54:48	ga_s2bm_ard_3-2-1_50JPS_2022-05-26_final.stac-item
2022-06-05 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2022-06-05_final.stac-item
2022-06-12 11:42:12	ga_s2bm_ard_3-2-1_51KWB_2022-06-12_final.stac-item
2022-07-09 11:34:04	ga_s2bm_ard_3-2-1_51KVQ_2022-07-09_final.stac-item
2022-07-09 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2022-07-09_final.stac-item
2022-07-15 11:52:24	ga_s2bm_ard_3-2-1_50KQG_2022-07-15_final
2022-07-29 11:33:39	ga_s2bm_ard_3-2-1_51KUS_2022-07-29_final.stac-item
2022-07-29 11:34:01	ga_s2bm_ard_3-2-1_51KWQ_2022-07-29_final.stac-item
2022-08-15 11:25:01	ga_s2bm_ard_3-2-1_51JWL_2022-08-15_final.stac-item
2022-09-04 11:24:24	ga_s2bm_ard_3-2-1_51JYN_2022-09-04_final.stac-item
2022-11-06 11:36:32	ga_s2bm_ard_3-2-1_51HVD_2022-11-06_final.stac-item
2023-01-25 11:35:02	ga_s2bm_ard_3-2-1_51JTL_2023-01-25_final.stac-item
2023-02-07 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2023-02-07_final
2023-02-07 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2023-02-07_final
2023-02-14 11:34:23	ga_s2bm_ard_3-2-1_51JWN_2023-02-14_final
2023-03-29 11:42:49	ga_s2bm_ard_3-2-1_51KUV_2023-03-29_final
2023-04-28 11:42:47	ga_s2bm_ard_3-2-1_51KUV_2023-04-28_final
2023-05-08 11:44:01	ga_s2bm_ard_3-2-1_51KUQ_2023-05-08_final
2023-05-15 11:33:38	ga_s2bm_ard_3-2-1_51KUS_2023-05-15_final
2023-05-18 11:43:19	ga_s2bm_ard_3-2-1_51KUT_2023-05-18_final
2023-06-04 11:37:02	ga_s2bm_ard_3-2-1_51HUC_2023-06-04_final
2023-06-07 11:46:58	ga_s2bm_ard_3-2-1_50HQH_2023-06-07_final
2023-06-07 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2023-06-07_final
2023-06-13 12:05:46	ga_s2bm_ard_3-2-1_50JKP_2023-06-13_final
2023-08-16 11:43:30	ga_s2bm_ard_3-2-1_51KVS_2023-08-16_final
2023-10-26 11:15:43	ga_s2bm_ard_3-2-1_51JXH_2023-10-26_final
2023-11-08 11:24:32	ga_s2bm_ard_3-2-1_51JWN_2023-11-08_final
2023-11-28 11:26:11	ga_s2bm_ard_3-2-1_51JVF_2023-11-28_final
2023-12-01 11:32:58	ga_s2bm_ard_3-2-1_51KVU_2023-12-01_final
2023-12-11 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2023-12-11_final
2023-12-31 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2023-12-31_final
2024-01-30 11:33:46	ga_s2bm_ard_3-2-1_51KUR_2024-01-30_final
2024-02-12 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2024-02-12_final
2024-03-20 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2024-03-20_final
2024-03-23 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2024-03-23_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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