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
2017-08-18 11:12:12	ga_s2bm_ard_3-2-1_52KEB_2017-08-18_final.stac-item
2017-10-09 11:55:53	ga_s2bm_ard_3-2-1_50HMJ_2017-10-09_final.stac-item
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51JUK_2017-11-12_final.stac-item
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_52LBK_2018-02-10_final.stac-item
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KXS_2018-05-01_final.stac-item
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KUS_2018-05-11_final.stac-item
2018-08-02 11:38:21	ga_s2bm_ard_3-2-1_51KTU_2018-08-02_final.stac-item
2018-08-02 11:38:21	ga_s2bm_ard_3-2-1_51KWB_2018-08-02_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51LZE_2018-08-29_final.stac-item
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50JNP_2018-09-14_final.stac-item
2018-09-19 10:59:00	ga_s2bm_ard_3-2-1_52KHD_2018-09-19_final.stac-item
2018-10-01 11:38:19	ga_s2bm_ard_3-2-1_51KUU_2018-10-01_final.stac-item
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KVA_2018-10-18_final.stac-item
2018-10-19 10:59:05	ga_s2bm_ard_3-2-1_52KGD_2018-10-19_final.stac-item
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_51LUE_2018-10-21_final.stac-item
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KUS_2018-10-28_final.stac-item
2018-11-05 10:53:12	ga_s2bm_ard_3-2-1_52JFL_2018-11-05_final.stac-item
2018-11-08 11:02:46	ga_s2bm_ard_3-2-1_52KGD_2018-11-08_final.stac-item
2018-11-17 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2018-11-17_final.stac-item
2018-12-31 11:14:35	ga_s2bm_ard_3-2-1_51JZM_2018-12-31_final.stac-item
2019-01-20 11:14:09	ga_s2bm_ard_3-2-1_51KZP_2019-01-20_final.stac-item
2019-02-15 11:33:34	ga_s2bm_ard_3-2-1_51KWS_2019-02-15_final.stac-item
2019-05-03 11:23:43	ga_s2bm_ard_3-2-1_51KZR_2019-05-03_final.stac-item
2019-06-15 11:34:00	ga_s2bm_ard_3-2-1_51KXQ_2019-06-15_final.stac-item
2019-07-22 11:24:06	ga_s2bm_ard_3-2-1_51KXQ_2019-07-22_final.stac-item
2019-08-05 11:03:02	ga_s2bm_ard_3-2-1_52KHC_2019-08-05_final.stac-item
2019-08-28 11:13:26	ga_s2bm_ard_3-2-1_52KCB_2019-08-28_final.stac-item
2019-08-28 11:13:58	ga_s2bm_ard_3-2-1_52KBV_2019-08-28_final.stac-item
2019-09-04 11:05:56	ga_s2bm_ard_3-2-1_52JEM_2019-09-04_final.stac-item
2019-09-07 11:13:42	ga_s2bm_ard_3-2-1_51KZR_2019-09-07_final.stac-item
2019-09-19 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2019-09-19_final.stac-item
2019-09-20 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2019-09-20_final.stac-item
2019-11-01 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2019-11-01_final.stac-item
2019-11-04 10:36:10	ga_s2bm_ard_3-2-1_53HME_2019-11-04_final.stac-item
2019-11-12 11:33:26	ga_s2bm_ard_3-2-1_51KWS_2019-11-12_final.stac-item
2019-12-07 10:45:42	ga_s2bm_ard_3-2-1_52JGM_2019-12-07_final.stac-item
2020-01-31 11:33:40	ga_s2bm_ard_3-2-1_51KUR_2020-01-31_final.stac-item
2020-02-01 11:00:23	ga_s2bm_ard_3-2-1_52LHN_2020-02-01_final.stac-item
2020-02-04 11:10:51	ga_s2bm_ard_3-2-1_52LGL_2020-02-04_final.stac-item
2020-02-20 11:32:51	ga_s2bm_ard_3-2-1_51KXU_2020-02-20_final.stac-item
2020-02-24 11:15:48	ga_s2bm_ard_3-2-1_52JBM_2020-02-24_final.stac-item
2020-04-04 11:15:48	ga_s2bm_ard_3-2-1_52JBM_2020-04-04_final.stac-item
2020-06-09 11:36:36	ga_s2bm_ard_3-2-1_51HVD_2020-06-09_final.stac-item
2020-06-16 11:23:13	ga_s2bm_ard_3-2-1_51KYT_2020-06-16_final.stac-item
2020-06-23 11:15:21	ga_s2bm_ard_3-2-1_52JBP_2020-06-23_final.stac-item
2020-08-25 11:23:25	ga_s2bm_ard_3-2-1_51KZS_2020-08-25_final.stac-item
2020-09-10 11:43:38	ga_s2bm_ard_3-2-1_51KVR_2020-09-10_final.stac-item
2020-09-16 10:27:07	ga_s2bm_ard_3-2-1_53HPA_2020-09-16_final.stac-item
2021-01-25 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2021-01-25_final.stac-item
2021-02-03 10:26:40	ga_s2bm_ard_3-2-1_53HNC_2021-02-03_final.stac-item
2021-02-13 10:26:52	ga_s2bm_ard_3-2-1_53HNB_2021-02-13_final.stac-item
2021-02-25 11:01:18	ga_s2bm_ard_3-2-1_52LHJ_2021-02-25_final.stac-item
2021-03-10 11:14:07	ga_s2bm_ard_3-2-1_52JET_2021-03-10_final.stac-item
2021-04-01 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2021-04-01_final
2021-04-16 11:06:13	ga_s2bm_ard_3-2-1_52HDK_2021-04-16_final
2021-05-25 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2021-05-25_final.stac-item
2021-06-21 11:23:21	ga_s2bm_ard_3-2-1_52KBB_2021-06-21_final.stac-item
2021-06-28 11:11:05	ga_s2bm_ard_3-2-1_52LEL_2021-06-28_final
2021-09-29 11:22:59	ga_s2bm_ard_3-2-1_51KXU_2021-09-29_final.stac-item
2021-11-09 10:53:44	ga_s2bm_ard_3-2-1_52KGV_2021-11-09_final.stac-item
2021-11-14 11:43:35	ga_s2bm_ard_3-2-1_51KVR_2021-11-14_final.stac-item
2021-12-15 11:13:19	ga_s2bm_ard_3-2-1_52KBB_2021-12-15_final.stac-item
2021-12-25 11:11:34	ga_s2bm_ard_3-2-1_52LEJ_2021-12-25_final.stac-item
2021-12-27 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2021-12-27_final.stac-item
2022-02-26 11:23:17	ga_s2bm_ard_3-2-1_51KZS_2022-02-26_final.stac-item
2022-03-12 11:04:12	ga_s2bm_ard_3-2-1_52JET_2022-03-12_final.stac-item
2022-03-14 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2022-03-14_final.stac-item
2022-03-27 11:55:49	ga_s2bm_ard_3-2-1_50JNN_2022-03-27_final.stac-item
2022-03-30 12:05:19	ga_s2bm_ard_3-2-1_50JLQ_2022-03-30_final.stac-item
2022-04-26 11:56:05	ga_s2bm_ard_3-2-1_50JLM_2022-04-26_final.stac-item
2022-06-26 11:23:55	ga_s2bm_ard_3-2-1_51KZQ_2022-06-26_final.stac-item
2022-07-10 11:03:39	ga_s2bm_ard_3-2-1_52KEA_2022-07-10_final.stac-item
2022-08-05 11:24:23	ga_s2bm_ard_3-2-1_52JBT_2022-08-05_final.stac-item
2022-11-13 11:26:14	ga_s2bm_ard_3-2-1_51JVF_2022-11-13_final.stac-item
2023-01-14 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2023-01-14_final.stac-item
2023-01-22 11:24:00	ga_s2bm_ard_3-2-1_51KWQ_2023-01-22_final.stac-item
2023-02-01 11:24:01	ga_s2bm_ard_3-2-1_52KBU_2023-02-01_final.stac-item
2023-02-04 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2023-02-04_final.stac-item
2023-05-12 11:23:37	ga_s2bm_ard_3-2-1_52KBA_2023-05-12_final
2023-05-15 11:36:21	ga_s2bm_ard_3-2-1_51JTF_2023-05-15_final
2023-06-01 11:24:36	ga_s2bm_ard_3-2-1_51JZM_2023-06-01_final
2023-06-14 11:33:03	ga_s2bm_ard_3-2-1_51KWU_2023-06-14_final
2023-06-18 11:15:37	ga_s2bm_ard_3-2-1_52JCN_2023-06-18_final
2023-07-16 10:36:12	ga_s2bm_ard_3-2-1_53HNE_2023-07-16_final
2023-08-17 11:14:14	ga_s2bm_ard_3-2-1_51KZP_2023-08-17_final
2023-08-20 11:24:20	ga_s2bm_ard_3-2-1_51KWP_2023-08-20_final
2023-09-02 11:37:26	ga_s2bm_ard_3-2-1_50HPG_2023-09-02_final
2023-09-04 10:36:37	ga_s2bm_ard_3-2-1_53HPC_2023-09-04_final
2023-10-24 10:36:37	ga_s2bm_ard_3-2-1_53HNC_2023-10-24_final
2023-10-28 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2023-10-28_final
2023-11-28 11:24:01	ga_s2bm_ard_3-2-1_51KZP_2023-11-28_final
2024-01-10 11:34:12	ga_s2bm_ard_3-2-1_51KVP_2024-01-10_final
2024-01-20 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2024-01-20_final
2024-01-23 11:43:35	ga_s2bm_ard_3-2-1_50KQB_2024-01-23_final
2024-02-08 10:26:50	ga_s2bm_ard_3-2-1_53HPB_2024-02-08_final
2024-02-08 10:26:53	ga_s2bm_ard_3-2-1_53HNB_2024-02-08_final
2024-02-16 11:23:29	ga_s2bm_ard_3-2-1_51KXS_2024-02-16_final
2024-03-11 11:03:54	ga_s2bm_ard_3-2-1_52KFU_2024-03-11_final
2024-03-11 11:04:25	ga_s2bm_ard_3-2-1_52JFS_2024-03-11_final
2024-03-21 11:06:06	ga_s2bm_ard_3-2-1_52JCL_2024-03-21_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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