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
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_50JKQ_2017-08-13_final.stac-item
2017-08-19 10:43:04	ga_s2bm_ard_3-2-1_53JNN_2017-08-19_final.stac-item
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_50HQH_2017-11-12_final.stac-item
2017-11-13 11:02:45	ga_s2bm_ard_3-2-1_52KEU_2017-11-13_final.stac-item
2017-12-18 11:55:59	ga_s2bm_ard_3-2-1_50JML_2017-12-18_final.stac-item
2017-12-30 10:47:14	ga_s2bm_ard_3-2-1_52JFN_2017-12-30_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KXP_2018-01-11_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51LXD_2018-01-11_final.stac-item
2018-01-12 11:02:50	ga_s2bm_ard_3-2-1_52JEL_2018-01-12_final.stac-item
2018-02-01 10:57:09	ga_s2bm_ard_3-2-1_52KHD_2018-02-01_final.stac-item
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51JUK_2018-02-10_final.stac-item
2018-03-04 10:35:27	ga_s2bm_ard_3-2-1_53HLD_2018-03-04_final.stac-item
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51LVC_2018-04-04_final.stac-item
2018-05-25 11:14:45	ga_s2bm_ard_3-2-1_51HXD_2018-05-25_final.stac-item
2018-06-11 11:03:54	ga_s2bm_ard_3-2-1_51HYD_2018-06-11_final.stac-item
2018-07-08 10:51:28	ga_s2bm_ard_3-2-1_52KGB_2018-07-08_final.stac-item
2018-07-22 10:31:03	ga_s2bm_ard_3-2-1_53JRM_2018-07-22_final.stac-item
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50JNS_2018-08-15_final.stac-item
2018-08-24 10:41:39	ga_s2bm_ard_3-2-1_53JMH_2018-08-24_final.stac-item
2018-09-22 11:07:09	ga_s2bm_ard_3-2-1_52LGH_2018-09-22_final.stac-item
2018-12-17 11:33:16	ga_s2bm_ard_3-2-1_51KUT_2018-12-17_final.stac-item
2019-01-23 11:21:50	ga_s2bm_ard_3-2-1_52LCH_2019-01-23_final.stac-item
2019-01-26 11:32:51	ga_s2bm_ard_3-2-1_51KYU_2019-01-26_final.stac-item
2019-03-23 11:53:21	ga_s2bm_ard_3-2-1_50KPC_2019-03-23_final.stac-item
2019-07-02 11:26:41	ga_s2bm_ard_3-2-1_51HUE_2019-07-02_final.stac-item
2019-07-07 10:34:23	ga_s2bm_ard_3-2-1_53JRM_2019-07-07_final.stac-item
2019-08-16 10:35:55	ga_s2bm_ard_3-2-1_53JPF_2019-08-16_final.stac-item
2019-08-16 10:36:09	ga_s2bm_ard_3-2-1_53HPE_2019-08-16_final.stac-item
2019-09-24 11:03:22	ga_s2bm_ard_3-2-1_52KHA_2019-09-24_final.stac-item
2020-01-18 11:25:39	ga_s2bm_ard_3-2-1_51JVH_2020-01-18_final.stac-item
2020-01-20 10:26:55	ga_s2bm_ard_3-2-1_53HQA_2020-01-20_final.stac-item
2020-01-22 11:02:23	ga_s2bm_ard_3-2-1_52KGE_2020-01-22_final.stac-item
2020-02-05 10:44:14	ga_s2bm_ard_3-2-1_53JNM_2020-02-05_final.stac-item
2020-02-17 11:24:28	ga_s2bm_ard_3-2-1_52JBS_2020-02-17_final.stac-item
2020-02-21 11:05:34	ga_s2bm_ard_3-2-1_52JCN_2020-02-21_final.stac-item
2020-03-23 10:34:30	ga_s2bm_ard_3-2-1_53JQL_2020-03-23_final.stac-item
2020-03-29 10:55:32	ga_s2bm_ard_3-2-1_52JEN_2020-03-29_final.stac-item
2020-05-09 10:25:38	ga_s2bm_ard_3-2-1_53JPG_2020-05-09_final.stac-item
2020-05-10 11:34:05	ga_s2bm_ard_3-2-1_51KXP_2020-05-10_final.stac-item
2020-05-26 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2020-05-26_final.stac-item
2020-06-06 11:27:09	ga_s2bm_ard_3-2-1_51HTC_2020-06-06_final.stac-item
2020-09-12 10:44:09	ga_s2bm_ard_3-2-1_53JNN_2020-09-12_final.stac-item
2020-10-04 11:26:15	ga_s2bm_ard_3-2-1_51JWF_2020-10-04_final.stac-item
2020-11-20 11:15:19	ga_s2bm_ard_3-2-1_52JCP_2020-11-20_final.stac-item
2020-11-23 11:24:02	ga_s2bm_ard_3-2-1_51KWQ_2020-11-23_final.stac-item
2020-12-27 11:03:20	ga_s2bm_ard_3-2-1_52KHA_2020-12-27_final.stac-item
2021-01-05 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2021-01-05_final.stac-item
2021-01-08 11:43:46	ga_s2bm_ard_3-2-1_51KTR_2021-01-08_final.stac-item
2021-02-01 11:22:08	ga_s2bm_ard_3-2-1_51KZB_2021-02-01_final.stac-item
2021-02-04 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2021-02-04_final.stac-item
2021-03-14 10:55:45	ga_s2bm_ard_3-2-1_52JFM_2021-03-14_final.stac-item
2021-03-21 10:45:13	ga_s2bm_ard_3-2-1_53JKJ_2021-03-21_final.stac-item
2021-05-14 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2021-05-14_final.stac-item
2021-06-21 11:26:30	ga_s2bm_ard_3-2-1_51HVE_2021-06-21_final.stac-item
2021-06-28 11:14:47	ga_s2bm_ard_3-2-1_52JDR_2021-06-28_final.stac-item
2021-08-17 11:10:25	ga_s2bm_ard_3-2-1_52LHN_2021-08-17_final.stac-item
2021-10-04 12:15:00	ga_s2bm_ard_3-2-1_49JFM_2021-10-04_final.stac-item
2021-10-25 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2021-10-25_final.stac-item
2021-10-27 10:44:08	ga_s2bm_ard_3-2-1_53JNN_2021-10-27_final.stac-item
2021-11-16 10:44:05	ga_s2bm_ard_3-2-1_53JNN_2021-11-16_final.stac-item
2021-11-21 11:36:00	ga_s2bm_ard_3-2-1_51JTG_2021-11-21_final.stac-item
2021-11-22 11:05:31	ga_s2bm_ard_3-2-1_52JDN_2021-11-22_final.stac-item
2021-12-09 10:53:27	ga_s2bm_ard_3-2-1_52KGA_2021-12-09_final.stac-item
2022-01-27 11:23:22	ga_s2bm_ard_3-2-1_51KXS_2022-01-27_final.stac-item
2022-02-28 10:26:43	ga_s2bm_ard_3-2-1_53HQB_2022-02-28_final.stac-item
2022-05-23 11:44:13	ga_s2bm_ard_3-2-1_51KUP_2022-05-23_final.stac-item
2022-06-11 10:36:48	ga_s2bm_ard_3-2-1_53HPB_2022-06-11_final.stac-item
2022-06-12 11:44:33	ga_s2bm_ard_3-2-1_50JRT_2022-06-12_final.stac-item
2022-06-18 12:04:39	ga_s2bm_ard_3-2-1_50JMT_2022-06-18_final.stac-item
2022-07-19 11:36:22	ga_s2bm_ard_3-2-1_51JTF_2022-07-19_final.stac-item
2022-08-10 10:35:52	ga_s2bm_ard_3-2-1_53JPF_2022-08-10_final.stac-item
2022-08-12 11:16:01	ga_s2bm_ard_3-2-1_51JXG_2022-08-12_final.stac-item
2022-08-27 12:05:26	ga_s2bm_ard_3-2-1_50JKQ_2022-08-27_final.stac-item
2022-08-31 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2022-08-31_final.stac-item
2022-08-31 11:46:14	ga_s2bm_ard_3-2-1_50JMM_2022-08-31_final.stac-item
2022-10-01 11:12:37	ga_s2bm_ard_3-2-1_52KCE_2022-10-01_final.stac-item
2022-10-01 12:51:00	ga_s2bm_ard_3-2-1_48LWP_2022-10-01_final
2022-10-10 11:46:03	ga_s2bm_ard_3-2-1_50JPM_2022-10-10_final.stac-item
2022-10-12 10:46:23	ga_s2bm_ard_3-2-1_53HLD_2022-10-12_final.stac-item
2022-10-19 10:33:59	ga_s2bm_ard_3-2-1_53JRN_2022-10-19_final.stac-item
2022-11-17 11:02:03	ga_s2bm_ard_3-2-1_52KHG_2022-11-17_final.stac-item
2022-12-23 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2022-12-23_final.stac-item
2022-12-23 11:23:20	ga_s2bm_ard_3-2-1_51KZS_2022-12-23_final.stac-item
2023-01-04 10:27:03	ga_s2bm_ard_3-2-1_53HPA_2023-01-04_final.stac-item
2023-03-07 11:01:20	ga_s2bm_ard_3-2-1_52LGK_2023-03-07_final
2023-03-28 10:35:19	ga_s2bm_ard_3-2-1_53JQH_2023-03-28_final
2023-04-09 11:10:27	ga_s2bm_ard_3-2-1_52LHN_2023-04-09_final
2023-04-10 10:46:26	ga_s2bm_ard_3-2-1_53HLD_2023-04-10_final
2023-04-13 10:53:47	ga_s2bm_ard_3-2-1_52KGV_2023-04-13_final
2023-06-01 11:26:33	ga_s2bm_ard_3-2-1_51HVE_2023-06-01_final
2023-07-10 11:57:14	ga_s2bm_ard_3-2-1_50HLH_2023-07-10_final
2023-11-07 11:57:17	ga_s2bm_ard_3-2-1_49HGC_2023-11-07_nrt
2023-11-10 10:24:41	ga_s2bm_ard_3-2-1_53JQL_2023-11-10_final
2023-12-01 11:35:05	ga_s2bm_ard_3-2-1_51JWK_2023-12-01_final
2023-12-15 11:11:00	ga_s2bm_ard_3-2-1_52LFL_2023-12-15_final
2023-12-18 11:26:40	ga_s2bm_ard_3-2-1_51HWD_2023-12-18_final
2024-01-13 11:43:26	ga_s2bm_ard_3-2-1_51KVS_2024-01-13_final
2024-01-21 11:04:20	ga_s2bm_ard_3-2-1_52JDT_2024-01-21_final
2024-02-29 11:32:13	ga_s2bm_ard_3-2-1_51KWB_2024-02-29_final
2024-03-17 11:25:51	ga_s2bm_ard_3-2-1_51JXG_2024-03-17_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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