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
2017-10-23 09:54:03	ga_s2bm_ard_3-2-1_54HXE_2017-10-23_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50JNR_2017-12-05_final.stac-item
2017-12-26 11:11:50	ga_s2bm_ard_3-2-1_51JZM_2017-12-26_final.stac-item
2018-01-15 11:07:04	ga_s2bm_ard_3-2-1_52KFG_2018-01-15_final.stac-item
2018-02-15 10:37:20	ga_s2bm_ard_3-2-1_53KNR_2018-02-15_final.stac-item
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_51KYR_2018-02-17_final.stac-item
2018-03-08 10:06:54	ga_s2bm_ard_3-2-1_54JUN_2018-03-08_final.stac-item
2018-03-10 10:47:15	ga_s2bm_ard_3-2-1_52JHS_2018-03-10_final.stac-item
2018-04-02 10:57:12	ga_s2bm_ard_3-2-1_52JFR_2018-04-02_final.stac-item
2018-04-13 10:27:05	ga_s2bm_ard_3-2-1_54JTP_2018-04-13_final.stac-item
2018-04-15 11:13:22	ga_s2bm_ard_3-2-1_51HXD_2018-04-15_final.stac-item
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_51KYS_2018-04-28_final.stac-item
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51LYD_2018-05-01_final.stac-item
2018-05-15 11:13:12	ga_s2bm_ard_3-2-1_52KBU_2018-05-15_final.stac-item
2018-07-02 10:31:05	ga_s2bm_ard_3-2-1_53HLD_2018-07-02_final.stac-item
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_54JUT_2018-08-21_final.stac-item
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_51KXQ_2018-09-08_final.stac-item
2018-09-17 10:22:40	ga_s2bm_ard_3-2-1_54JTP_2018-09-17_final.stac-item
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_50KKA_2018-09-17_final.stac-item
2018-10-09 11:00:38	ga_s2bm_ard_3-2-1_52JFM_2018-10-09_final.stac-item
2018-12-03 10:15:43	ga_s2bm_ard_3-2-1_54JUL_2018-12-03_final.stac-item
2019-02-22 09:48:08	ga_s2bm_ard_3-2-1_54GYA_2019-02-22_final.stac-item
2019-03-04 11:25:07	ga_s2bm_ard_3-2-1_51JXK_2019-03-04_final.stac-item
2019-04-02 11:56:02	ga_s2bm_ard_3-2-1_50JKN_2019-04-02_final.stac-item
2019-05-18 10:34:48	ga_s2bm_ard_3-2-1_53JNL_2019-05-18_final.stac-item
2019-06-11 11:54:59	ga_s2bm_ard_3-2-1_50JNS_2019-06-11_final.stac-item
2019-07-29 11:15:56	ga_s2bm_ard_3-2-1_52JCM_2019-07-29_final.stac-item
2019-08-09 10:43:04	ga_s2bm_ard_3-2-1_53KMT_2019-08-09_final.stac-item
2019-09-23 09:57:36	ga_s2bm_ard_3-2-1_54HYC_2019-09-23_final.stac-item
2019-11-29 11:23:57	ga_s2bm_ard_3-2-1_51KWQ_2019-11-29_final.stac-item
2019-12-02 11:33:11	ga_s2bm_ard_3-2-1_51KVT_2019-12-02_final.stac-item
2020-01-30 10:24:48	ga_s2bm_ard_3-2-1_54JVP_2020-01-30_final.stac-item
2020-02-02 12:13:47	ga_s2bm_ard_3-2-1_50KKA_2020-02-02_final.stac-item
2020-03-02 11:05:35	ga_s2bm_ard_3-2-1_52JCN_2020-03-02_final.stac-item
2020-03-04 10:06:55	ga_s2bm_ard_3-2-1_54HWF_2020-03-04_final.stac-item
2020-06-27 10:50:37	ga_s2bm_ard_3-2-1_53LPG_2020-06-27_final.stac-item
2020-07-18 10:25:07	ga_s2bm_ard_3-2-1_53JQJ_2020-07-18_final.stac-item
2020-07-22 11:42:15	ga_s2bm_ard_3-2-1_51KVB_2020-07-22_final.stac-item
2020-08-10 10:33:38	ga_s2bm_ard_3-2-1_53KQQ_2020-08-10_final.stac-item
2020-09-01 11:13:29	ga_s2bm_ard_3-2-1_52KBB_2020-09-01_final.stac-item
2020-09-08 11:05:33	ga_s2bm_ard_3-2-1_52JEN_2020-09-08_final.stac-item
2020-09-20 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2020-09-20_final.stac-item
2020-10-10 11:43:22	ga_s2bm_ard_3-2-1_51KUT_2020-10-10_final.stac-item
2020-11-03 09:48:11	ga_s2bm_ard_3-2-1_54GYA_2020-11-03_final.stac-item
2020-11-05 10:25:14	ga_s2bm_ard_3-2-1_53JQH_2020-11-05_final.stac-item
2020-11-23 11:26:40	ga_s2bm_ard_3-2-1_51HWD_2020-11-23_final.stac-item
2020-11-26 11:32:50	ga_s2bm_ard_3-2-1_51KYU_2020-11-26_final.stac-item
2021-01-19 11:10:25	ga_s2bm_ard_3-2-1_52LHN_2021-01-19_final.stac-item
2021-03-20 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2021-03-20_final
2021-03-21 10:45:03	ga_s2bm_ard_3-2-1_53JNJ_2021-03-21_final.stac-item
2021-03-31 10:44:08	ga_s2bm_ard_3-2-1_53JMN_2021-03-31_final.stac-item
2021-04-28 10:07:21	ga_s2bm_ard_3-2-1_54HWD_2021-04-28_final.stac-item
2021-05-21 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2021-05-21_final.stac-item
2021-05-22 11:25:31	ga_s2bm_ard_3-2-1_51JVJ_2021-05-22_final.stac-item
2021-05-31 10:16:05	ga_s2bm_ard_3-2-1_54HVK_2021-05-31_final.stac-item
2021-06-01 11:25:17	ga_s2bm_ard_3-2-1_51JVK_2021-06-01_final.stac-item
2021-06-09 10:45:48	ga_s2bm_ard_3-2-1_52JGM_2021-06-09_final.stac-item
2021-07-04 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2021-07-04_final.stac-item
2021-07-05 11:05:17	ga_s2bm_ard_3-2-1_52JEP_2021-07-05_final.stac-item
2021-10-21 10:24:00	ga_s2bm_ard_3-2-1_54JVT_2021-10-21_final.stac-item
2021-11-21 09:56:03	ga_s2bm_ard_3-2-1_54HYJ_2021-11-21_final.stac-item
2021-12-16 10:41:28	ga_s2bm_ard_3-2-1_53LQC_2021-12-16_final
2022-01-02 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2022-01-02_final.stac-item
2022-01-06 10:16:59	ga_s2bm_ard_3-2-1_54HTF_2022-01-06_final.stac-item
2022-03-13 10:35:13	ga_s2bm_ard_3-2-1_53JMJ_2022-03-13_final.stac-item
2022-03-18 11:21:52	ga_s2bm_ard_3-2-1_51LZC_2022-03-18_final.stac-item
2022-03-20 10:25:18	ga_s2bm_ard_3-2-1_53JQH_2022-03-20_final.stac-item
2022-03-22 11:04:03	ga_s2bm_ard_3-2-1_52KDU_2022-03-22_final.stac-item
2022-03-23 10:32:45	ga_s2bm_ard_3-2-1_53KRT_2022-03-23_final.stac-item
2022-04-03 11:44:24	ga_s2bm_ard_3-2-1_51JUN_2022-04-03_final.stac-item
2022-04-23 11:43:09	ga_s2bm_ard_3-2-1_51KUT_2022-04-23_final.stac-item
2022-04-25 10:42:59	ga_s2bm_ard_3-2-1_53KPS_2022-04-25_final.stac-item
2022-04-27 11:25:27	ga_s2bm_ard_3-2-1_51JYH_2022-04-27_final.stac-item
2022-08-24 11:56:14	ga_s2bm_ard_3-2-1_50JKM_2022-08-24_final.stac-item
2022-09-03 10:16:35	ga_s2bm_ard_3-2-1_54HTH_2022-09-03_final.stac-item
2022-09-24 11:24:33	ga_s2bm_ard_3-2-1_52JBS_2022-09-24_final.stac-item
2022-09-25 10:55:43	ga_s2bm_ard_3-2-1_52JGM_2022-09-25_final.stac-item
2022-10-06 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2022-10-06_final.stac-item
2022-10-24 11:24:04	ga_s2bm_ard_3-2-1_52KBU_2022-10-24_final.stac-item
2022-11-26 11:32:02	ga_s2bm_ard_3-2-1_51LWC_2022-11-26_final.stac-item
2022-12-01 10:41:33	ga_s2bm_ard_3-2-1_53LQC_2022-12-01_final.stac-item
2022-12-09 10:05:48	ga_s2bm_ard_3-2-1_54HYK_2022-12-09_final.stac-item
2022-12-23 11:22:08	ga_s2bm_ard_3-2-1_51KZB_2022-12-23_final.stac-item
2022-12-28 10:33:59	ga_s2bm_ard_3-2-1_54JTT_2022-12-28_final.stac-item
2023-01-18 11:42:39	ga_s2bm_ard_3-2-1_51KVV_2023-01-18_final.stac-item
2023-01-26 11:02:08	ga_s2bm_ard_3-2-1_53KKA_2023-01-26_final.stac-item
2023-01-29 11:10:23	ga_s2bm_ard_3-2-1_52LHN_2023-01-29_final.stac-item
2023-04-22 11:23:12	ga_s2bm_ard_3-2-1_51KYT_2023-04-22_final
2023-06-14 11:31:11	ga_s2bm_ard_3-2-1_51LZF_2023-06-14_nrt
2023-06-27 10:07:20	ga_s2bm_ard_3-2-1_54HVE_2023-06-27_final
2023-07-13 10:24:56	ga_s2bm_ard_3-2-1_53JQK_2023-07-13_final
2023-08-03 11:37:02	ga_s2bm_ard_3-2-1_51HUC_2023-08-03_final
2023-08-15 10:35:03	ga_s2bm_ard_3-2-1_54JTP_2023-08-15_final
2023-08-18 10:46:08	ga_s2bm_ard_3-2-1_53HLE_2023-08-18_final
2023-11-02 11:03:10	ga_s2bm_ard_3-2-1_53KKS_2023-11-02_final
2023-11-11 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2023-11-11_final
2023-12-27 10:16:11	ga_s2bm_ard_3-2-1_54HWJ_2023-12-27_final
2024-01-30 11:31:02	ga_s2bm_ard_3-2-1_52LBL_2024-01-30_nrt
2024-02-05 10:14:33	ga_s2bm_ard_3-2-1_54JYQ_2024-02-05_final
2024-02-09 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2024-02-09_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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