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
2017-08-20 11:56:30	ga_s2bm_ard_3-2-1_50HMJ_2017-08-20_final.stac-item
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49JGM_2017-10-12_final.stac-item
2017-12-20 10:47:12	ga_s2bm_ard_3-2-1_53KKA_2017-12-20_final.stac-item
2018-01-18 11:16:52	ga_s2bm_ard_3-2-1_51HUE_2018-01-18_final.stac-item
2018-01-29 10:47:18	ga_s2bm_ard_3-2-1_53KKT_2018-01-29_final.stac-item
2018-02-22 10:27:00	ga_s2bm_ard_3-2-1_53JRN_2018-02-22_final.stac-item
2018-04-15 11:13:22	ga_s2bm_ard_3-2-1_52JBL_2018-04-15_final.stac-item
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49KGR_2018-04-23_final.stac-item
2018-05-13 12:13:20	ga_s2bm_ard_3-2-1_49KGQ_2018-05-13_final.stac-item
2018-05-13 12:14:07	ga_s2bm_ard_3-2-1_49JGK_2018-05-13_final.stac-item
2018-05-28 11:21:19	ga_s2bm_ard_3-2-1_51KWQ_2018-05-28_final.stac-item
2018-06-29 10:26:13	ga_s2bm_ard_3-2-1_53HNC_2018-06-29_final.stac-item
2018-10-02 11:12:46	ga_s2bm_ard_3-2-1_51JYF_2018-10-02_final.stac-item
2018-10-25 11:18:26	ga_s2bm_ard_3-2-1_51KXP_2018-10-25_final.stac-item
2019-02-12 11:23:25	ga_s2bm_ard_3-2-1_51KYS_2019-02-12_final.stac-item
2019-03-03 11:54:46	ga_s2bm_ard_3-2-1_50JPS_2019-03-03_final.stac-item
2019-03-08 11:06:21	ga_s2bm_ard_3-2-1_52HBK_2019-03-08_final.stac-item
2019-04-03 11:23:13	ga_s2bm_ard_3-2-1_51KYT_2019-04-03_final.stac-item
2019-04-09 11:43:29	ga_s2bm_ard_3-2-1_51KVS_2019-04-09_final.stac-item
2019-04-26 11:34:21	ga_s2bm_ard_3-2-1_51KVP_2019-04-26_final.stac-item
2019-07-05 11:35:17	ga_s2bm_ard_3-2-1_51JWK_2019-07-05_final.stac-item
2019-09-24 11:04:21	ga_s2bm_ard_3-2-1_52JDT_2019-09-24_final.stac-item
2019-11-07 10:46:24	ga_s2bm_ard_3-2-1_53HLD_2019-11-07_final.stac-item
2019-12-23 11:04:52	ga_s2bm_ard_3-2-1_52JCR_2019-12-23_final.stac-item
2020-01-05 11:13:20	ga_s2bm_ard_3-2-1_52KBB_2020-01-05_final.stac-item
2020-01-08 11:23:16	ga_s2bm_ard_3-2-1_51KZS_2020-01-08_final.stac-item
2020-01-18 11:26:23	ga_s2bm_ard_3-2-1_51HVE_2020-01-18_final.stac-item
2020-02-02 10:34:47	ga_s2bm_ard_3-2-1_53JNK_2020-02-02_final.stac-item
2020-02-11 11:00:31	ga_s2bm_ard_3-2-1_53LMG_2020-02-11_final.stac-item
2020-02-24 11:15:36	ga_s2bm_ard_3-2-1_51JYH_2020-02-24_final.stac-item
2020-02-25 10:45:44	ga_s2bm_ard_3-2-1_52JGM_2020-02-25_final.stac-item
2020-03-03 10:34:23	ga_s2bm_ard_3-2-1_53JNM_2020-03-03_final.stac-item
2020-03-03 10:34:48	ga_s2bm_ard_3-2-1_53JPK_2020-03-03_final.stac-item
2020-04-23 11:46:39	ga_s2bm_ard_3-2-1_50HPJ_2020-04-23_final.stac-item
2020-05-15 10:45:54	ga_s2bm_ard_3-2-1_53JLF_2020-05-15_final.stac-item
2020-06-01 10:34:34	ga_s2bm_ard_3-2-1_53JQL_2020-06-01_final.stac-item
2020-06-29 11:37:00	ga_s2bm_ard_3-2-1_51HUC_2020-06-29_final.stac-item
2020-07-19 11:31:44	ga_s2bm_ard_3-2-1_51LXD_2020-07-19_final.stac-item
2020-07-23 11:13:13	ga_s2bm_ard_3-2-1_52KCC_2020-07-23_final.stac-item
2020-10-05 10:55:45	ga_s2bm_ard_3-2-1_52JGM_2020-10-05_final.stac-item
2020-11-04 10:55:51	ga_s2bm_ard_3-2-1_52JEM_2020-11-04_final.stac-item
2020-11-06 11:33:44	ga_s2bm_ard_3-2-1_51KWR_2020-11-06_final.stac-item
2020-11-09 11:42:11	ga_s2bm_ard_3-2-1_51KWB_2020-11-09_final.stac-item
2020-12-17 11:00:55	ga_s2bm_ard_3-2-1_52LHL_2020-12-17_final.stac-item
2020-12-20 11:13:50	ga_s2bm_ard_3-2-1_52KBV_2020-12-20_final.stac-item
2020-12-28 10:36:30	ga_s2bm_ard_3-2-1_53HPC_2020-12-28_final.stac-item
2021-01-15 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2021-01-15_final.stac-item
2021-01-24 12:05:37	ga_s2bm_ard_3-2-1_50JLP_2021-01-24_final.stac-item
2021-03-05 10:26:31	ga_s2bm_ard_3-2-1_53HQC_2021-03-05_final.stac-item
2021-04-01 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2021-04-01_final.stac-item
2021-06-22 10:54:12	ga_s2bm_ard_3-2-1_53JKN_2021-06-22_final.stac-item
2021-07-13 12:04:23	ga_s2bm_ard_3-2-1_50KKU_2021-07-13_final.stac-item
2021-08-18 10:44:09	ga_s2bm_ard_3-2-1_53JMN_2021-08-18_final.stac-item
2021-10-10 10:52:31	ga_s2bm_ard_3-2-1_53KKV_2021-10-10_final.stac-item
2021-10-26 11:16:07	ga_s2bm_ard_3-2-1_52JBL_2021-10-26_final.stac-item
2021-10-30 10:52:35	ga_s2bm_ard_3-2-1_53KNU_2021-10-30_final.stac-item
2021-11-07 10:16:52	ga_s2bm_ard_3-2-1_53HQB_2021-11-07_final.stac-item
2021-12-22 11:05:32	ga_s2bm_ard_3-2-1_52JCN_2021-12-22_final.stac-item
2021-12-23 10:35:29	ga_s2bm_ard_3-2-1_53JPG_2021-12-23_final.stac-item
2022-03-06 10:42:10	ga_s2bm_ard_3-2-1_53KRV_2022-03-06_final.stac-item
2022-03-07 10:16:49	ga_s2bm_ard_3-2-1_53HQB_2022-03-07_final.stac-item
2022-03-11 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2022-03-11_final.stac-item
2022-03-22 11:05:20	ga_s2bm_ard_3-2-1_52JCP_2022-03-22_final.stac-item
2022-03-30 10:26:18	ga_s2bm_ard_3-2-1_53HPD_2022-03-30_final.stac-item
2022-04-05 10:45:34	ga_s2bm_ard_3-2-1_53JMG_2022-04-05_final.stac-item
2022-05-01 11:03:50	ga_s2bm_ard_3-2-1_52KGU_2022-05-01_final.stac-item
2022-05-17 11:24:04	ga_s2bm_ard_3-2-1_52KBU_2022-05-17_final.stac-item
2022-06-28 10:24:28	ga_s2bm_ard_3-2-1_53JRM_2022-06-28_final.stac-item
2022-07-06 11:26:34	ga_s2bm_ard_3-2-1_51HVE_2022-07-06_final.stac-item
2022-08-10 10:36:28	ga_s2bm_ard_3-2-1_53HMD_2022-08-10_final.stac-item
2022-08-21 13:21:39	ga_s2bm_ard_3-2-1_46LHN_2022-08-21_interim
2022-09-01 11:12:43	ga_s2bm_ard_3-2-1_52KFD_2022-09-01_final.stac-item
2022-09-04 11:23:18	ga_s2bm_ard_3-2-1_52KCB_2022-09-04_final.stac-item
2022-09-04 11:24:34	ga_s2bm_ard_3-2-1_51JZM_2022-09-04_final.stac-item
2022-10-11 11:12:51	ga_s2bm_ard_3-2-1_52KCD_2022-10-11_final.stac-item
2022-10-30 11:44:58	ga_s2bm_ard_3-2-1_51JTL_2022-10-30_final.stac-item
2022-11-28 10:36:09	ga_s2bm_ard_3-2-1_53HME_2022-11-28_final.stac-item
2022-12-12 13:31:30	ga_s2bm_ard_3-2-1_47LKH_2022-12-12_interim
2022-12-30 11:11:11	ga_s2bm_ard_3-2-1_52LGK_2022-12-30_final.stac-item
2023-01-02 11:24:00	ga_s2bm_ard_3-2-1_51KWQ_2023-01-02_final.stac-item
2023-01-07 10:31:47	ga_s2bm_ard_3-2-1_53KRB_2023-01-07_final.stac-item
2023-01-30 10:43:52	ga_s2bm_ard_3-2-1_53KMP_2023-01-30_final.stac-item
2023-02-26 10:34:15	ga_s2bm_ard_3-2-1_53JRM_2023-02-26_final
2023-03-07 11:01:01	ga_s2bm_ard_3-2-1_53LKF_2023-03-07_final
2023-03-28 10:33:34	ga_s2bm_ard_3-2-1_53KRQ_2023-03-28_final
2023-05-26 11:01:47	ga_s2bm_ard_3-2-1_52LHH_2023-05-26_final
2023-06-24 11:34:04	ga_s2bm_ard_3-2-1_51KVQ_2023-06-24_final
2023-06-29 10:46:29	ga_s2bm_ard_3-2-1_53HLD_2023-06-29_final
2023-08-14 11:05:36	ga_s2bm_ard_3-2-1_52JEN_2023-08-14_final
2023-08-26 11:47:06	ga_s2bm_ard_3-2-1_50HPH_2023-08-26_final
2023-10-31 10:26:38	ga_s2bm_ard_3-2-1_53HPC_2023-10-31_final
2023-11-06 10:44:23	ga_s2bm_ard_3-2-1_53JNM_2023-11-06_final
2023-12-31 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2023-12-31_final
2024-01-07 11:25:52	ga_s2bm_ard_3-2-1_51JXG_2024-01-07_final
2024-01-24 11:16:21	ga_s2bm_ard_3-2-1_51HYE_2024-01-24_final
2024-02-13 11:13:41	ga_s2bm_ard_3-2-1_51KZR_2024-02-13_final
2024-02-29 11:36:22	ga_s2bm_ard_3-2-1_51HVE_2024-02-29_final
2024-03-03 11:42:42	ga_s2bm_ard_3-2-1_51KUV_2024-03-03_final
2024-03-28 10:52:38	ga_s2bm_ard_3-2-1_53KMU_2024-03-28_final
2024-04-12 11:45:32	ga_s2bm_ard_3-2-1_50JQP_2024-04-12_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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