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
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50HNH_2017-08-07_final.stac-item
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50HNJ_2017-08-07_final.stac-item
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50HNK_2017-08-07_final.stac-item
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50JNL_2017-08-07_final.stac-item
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50JNM_2017-08-07_final.stac-item
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50JNN_2017-08-07_final.stac-item
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50JNP_2017-08-07_final.stac-item
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50JNQ_2017-08-07_final.stac-item
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50JNR_2017-08-07_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JNL_2017-08-27_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JNM_2017-08-27_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JNP_2017-08-27_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JNQ_2017-08-27_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JNR_2017-08-27_final.stac-item
2018-08-02 11:38:21	ga_s2bm_ard_3-2-1_50JNR_2018-08-02_final.stac-item
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HNH_2018-08-02_final.stac-item
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HNJ_2018-08-02_final.stac-item
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HNK_2018-08-02_final.stac-item
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50JNL_2018-08-02_final.stac-item
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50JNM_2018-08-02_final.stac-item
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50JNN_2018-08-02_final.stac-item
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50JNP_2018-08-02_final.stac-item
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50JNQ_2018-08-02_final.stac-item
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50JNR_2018-08-02_final.stac-item
2019-07-28 11:46:16	ga_s2bm_ard_3-2-1_50JNM_2019-07-28_final.stac-item
2019-07-28 11:46:31	ga_s2bm_ard_3-2-1_50JNL_2019-07-28_final.stac-item
2019-07-28 11:46:46	ga_s2bm_ard_3-2-1_50HNK_2019-07-28_final.stac-item
2019-07-28 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2019-07-28_final.stac-item
2019-07-28 11:47:01	ga_s2bm_ard_3-2-1_50HNJ_2019-07-28_final.stac-item
2019-07-28 11:47:15	ga_s2bm_ard_3-2-1_50HNH_2019-07-28_final.stac-item
2019-08-17 11:45:17	ga_s2bm_ard_3-2-1_50JNR_2019-08-17_final.stac-item
2019-08-17 11:45:31	ga_s2bm_ard_3-2-1_50JNQ_2019-08-17_final.stac-item
2019-08-17 11:45:45	ga_s2bm_ard_3-2-1_50JNP_2019-08-17_final.stac-item
2019-08-17 11:46:00	ga_s2bm_ard_3-2-1_50JNN_2019-08-17_final.stac-item
2019-08-17 11:46:14	ga_s2bm_ard_3-2-1_50JNM_2019-08-17_final.stac-item
2019-08-17 11:46:29	ga_s2bm_ard_3-2-1_50JNL_2019-08-17_final.stac-item
2019-08-17 11:46:43	ga_s2bm_ard_3-2-1_50HNK_2019-08-17_final.stac-item
2019-08-20 11:55:26	ga_s2bm_ard_3-2-1_50JNQ_2019-08-20_final.stac-item
2019-08-20 11:55:40	ga_s2bm_ard_3-2-1_50JNP_2019-08-20_final.stac-item
2019-10-26 11:45:40	ga_s2bm_ard_3-2-1_50JNP_2019-10-26_final.stac-item
2019-10-26 11:45:55	ga_s2bm_ard_3-2-1_50JNN_2019-10-26_final.stac-item
2019-10-26 11:46:09	ga_s2bm_ard_3-2-1_50JNM_2019-10-26_final.stac-item
2019-10-26 11:46:24	ga_s2bm_ard_3-2-1_50JNL_2019-10-26_final.stac-item
2019-10-26 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2019-10-26_final.stac-item
2019-10-26 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2019-10-26_final.stac-item
2019-10-26 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2019-10-26_final.stac-item
2020-05-03 11:45:08	ga_s2bm_ard_3-2-1_50JNR_2020-05-03_final.stac-item
2020-05-03 11:45:21	ga_s2bm_ard_3-2-1_50JNQ_2020-05-03_final.stac-item
2020-05-03 11:45:36	ga_s2bm_ard_3-2-1_50JNP_2020-05-03_final.stac-item
2020-05-03 11:45:51	ga_s2bm_ard_3-2-1_50JNN_2020-05-03_final.stac-item
2020-05-03 11:46:05	ga_s2bm_ard_3-2-1_50JNM_2020-05-03_final.stac-item
2020-05-03 11:46:19	ga_s2bm_ard_3-2-1_50JNL_2020-05-03_final.stac-item
2020-05-03 11:46:34	ga_s2bm_ard_3-2-1_50HNK_2020-05-03_final.stac-item
2020-05-03 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2020-05-03_final.stac-item
2020-05-03 11:47:03	ga_s2bm_ard_3-2-1_50HNH_2020-05-03_final.stac-item
2020-06-25 11:52:40	ga_s2bm_ard_3-2-1_50KPF_2020-06-25_final
2020-06-25 11:53:09	ga_s2bm_ard_3-2-1_50KPD_2020-06-25_final
2021-02-20 11:52:35	ga_s2bm_ard_3-2-1_50KPF_2021-02-20_final
2021-02-20 11:53:04	ga_s2bm_ard_3-2-1_50KPD_2021-02-20_final
2021-02-20 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2021-02-20_final.stac-item
2021-02-20 11:53:22	ga_s2bm_ard_3-2-1_50KNC_2021-02-20_final.stac-item
2021-02-20 11:53:33	ga_s2bm_ard_3-2-1_50KPB_2021-02-20_final.stac-item
2021-02-20 11:53:37	ga_s2bm_ard_3-2-1_50KNB_2021-02-20_final.stac-item
2021-02-20 11:53:48	ga_s2bm_ard_3-2-1_50KPA_2021-02-20_final.stac-item
2021-02-20 11:53:51	ga_s2bm_ard_3-2-1_50KNA_2021-02-20_final.stac-item
2021-02-20 11:54:02	ga_s2bm_ard_3-2-1_50KPV_2021-02-20_final.stac-item
2021-02-20 11:54:06	ga_s2bm_ard_3-2-1_50KNV_2021-02-20_final.stac-item
2021-02-20 11:54:14	ga_s2bm_ard_3-2-1_50KNU_2021-02-20_final.stac-item
2021-02-24 11:37:25	ga_s2bm_ard_3-2-1_50HNG_2021-02-24_final
2021-10-25 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2021-10-25_final.stac-item
2021-10-25 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2021-10-25_final.stac-item
2021-10-25 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2021-10-25_final.stac-item
2021-10-25 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2021-10-25_final
2023-01-11 11:52:19	ga_s2bm_ard_3-2-1_50KPG_2023-01-11_nrt.stac-item
2023-01-11 11:52:25	ga_s2bm_ard_3-2-1_50KNG_2023-01-11_nrt.stac-item
2023-01-11 11:52:37	ga_s2bm_ard_3-2-1_50KNF_2023-01-11_nrt.stac-item
2023-01-11 11:52:48	ga_s2bm_ard_3-2-1_50KPE_2023-01-11_nrt.stac-item
2023-01-11 11:52:51	ga_s2bm_ard_3-2-1_50KNE_2023-01-11_nrt.stac-item
2023-01-11 11:53:06	ga_s2bm_ard_3-2-1_50KND_2023-01-11_nrt.stac-item
2023-01-11 11:53:17	ga_s2bm_ard_3-2-1_50KPC_2023-01-11_final.stac-item
2023-01-11 11:53:20	ga_s2bm_ard_3-2-1_50KNC_2023-01-11_final.stac-item
2023-01-11 11:53:32	ga_s2bm_ard_3-2-1_50KPB_2023-01-11_final.stac-item
2023-01-11 11:53:35	ga_s2bm_ard_3-2-1_50KNB_2023-01-11_final.stac-item
2023-01-11 11:53:46	ga_s2bm_ard_3-2-1_50KPA_2023-01-11_final.stac-item
2023-01-11 11:53:49	ga_s2bm_ard_3-2-1_50KNA_2023-01-11_final.stac-item
2023-01-11 11:54:01	ga_s2bm_ard_3-2-1_50KPV_2023-01-11_final.stac-item
2023-01-11 11:54:04	ga_s2bm_ard_3-2-1_50KNV_2023-01-11_final.stac-item
2023-01-11 11:54:18	ga_s2bm_ard_3-2-1_50KNU_2023-01-11_final.stac-item
2023-01-11 11:54:33	ga_s2bm_ard_3-2-1_50JNT_2023-01-11_final.stac-item
2023-01-11 11:54:47	ga_s2bm_ard_3-2-1_50JNS_2023-01-11_final.stac-item
2023-01-11 11:55:02	ga_s2bm_ard_3-2-1_50JNR_2023-01-11_final.stac-item
2023-01-11 11:55:16	ga_s2bm_ard_3-2-1_50JNQ_2023-01-11_final.stac-item
2023-01-15 11:37:23	ga_s2bm_ard_3-2-1_50HNG_2023-01-15_final
2023-01-15 11:37:29	ga_s2bm_ard_3-2-1_50HNF_2023-01-15_nrt.stac-item
2023-01-21 11:52:21	ga_s2bm_ard_3-2-1_50KPG_2023-01-21_nrt.stac-item
2023-01-21 11:54:20	ga_s2bm_ard_3-2-1_50KNU_2023-01-21_final.stac-item
2023-01-21 11:54:35	ga_s2bm_ard_3-2-1_50JNT_2023-01-21_final.stac-item
2023-01-21 11:54:49	ga_s2bm_ard_3-2-1_50JNS_2023-01-21_final.stac-item
2023-01-21 11:55:04	ga_s2bm_ard_3-2-1_50JNR_2023-01-21_final.stac-item
2023-01-21 11:55:18	ga_s2bm_ard_3-2-1_50JNQ_2023-01-21_final.stac-item

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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