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
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JQR_2017-08-27_final.stac-item
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50KQV_2017-09-09_final.stac-item
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50JRT_2017-11-05_final.stac-item
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50KQV_2017-11-18_final.stac-item
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49KGR_2017-11-24_final.stac-item
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50KPV_2017-11-28_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50KPA_2017-12-08_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50JQQ_2017-12-15_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50KQV_2017-12-15_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JNR_2017-12-18_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50HPH_2018-01-11_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50JRT_2018-03-05_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50HPH_2018-03-15_final.stac-item
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50JPL_2018-08-12_final.stac-item
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_50KKA_2018-08-18_final.stac-item
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49KGQ_2018-08-21_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HPK_2018-09-11_final.stac-item
2018-11-03 11:47:22	ga_s2bm_ard_3-2-1_50KQA_2018-11-03_final.stac-item
2018-11-17 11:34:34	ga_s2bm_ard_3-2-1_50JRT_2018-11-17_final.stac-item
2018-11-26 12:03:29	ga_s2bm_ard_3-2-1_50KNB_2018-11-26_final.stac-item
2018-11-29 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2018-11-29_final.stac-item
2018-11-30 11:46:49	ga_s2bm_ard_3-2-1_50HQH_2018-11-30_final.stac-item
2018-12-03 11:53:42	ga_s2bm_ard_3-2-1_50KQA_2018-12-03_final.stac-item
2018-12-16 12:03:32	ga_s2bm_ard_3-2-1_50KMB_2018-12-16_final.stac-item
2018-12-23 11:53:38	ga_s2bm_ard_3-2-1_50KMB_2018-12-23_final.stac-item
2018-12-26 12:04:03	ga_s2bm_ard_3-2-1_50KMV_2018-12-26_final.stac-item
2018-12-30 11:43:48	ga_s2bm_ard_3-2-1_50KQA_2018-12-30_final.stac-item
2019-01-06 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2019-01-06_final.stac-item
2019-01-08 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2019-01-08_final.stac-item
2019-01-12 11:53:35	ga_s2bm_ard_3-2-1_50KPB_2019-01-12_final.stac-item
2019-01-12 11:54:32	ga_s2bm_ard_3-2-1_50JPT_2019-01-12_final.stac-item
2019-01-12 11:55:01	ga_s2bm_ard_3-2-1_50JPR_2019-01-12_final.stac-item
2019-01-15 12:03:23	ga_s2bm_ard_3-2-1_50KMC_2019-01-15_final.stac-item
2019-01-15 12:03:37	ga_s2bm_ard_3-2-1_50KMB_2019-01-15_final.stac-item
2019-01-18 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-01-18_final.stac-item
2019-01-29 11:45:21	ga_s2bm_ard_3-2-1_50JPQ_2019-01-29_final.stac-item
2019-01-29 11:45:32	ga_s2bm_ard_3-2-1_50JQP_2019-01-29_final.stac-item
2019-04-09 11:43:40	ga_s2bm_ard_3-2-1_50KQB_2019-04-09_final.stac-item
2019-11-11 12:03:32	ga_s2bm_ard_3-2-1_50KNB_2019-11-11_final.stac-item
2019-11-18 11:53:44	ga_s2bm_ard_3-2-1_50KQA_2019-11-18_final.stac-item
2019-12-22 11:36:58	ga_s2bm_ard_3-2-1_50HQH_2019-12-22_final.stac-item
2020-03-04 11:43:45	ga_s2bm_ard_3-2-1_50KRA_2020-03-04_final.stac-item
2020-03-13 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2020-03-13_final.stac-item
2020-06-29 11:36:07	ga_s2bm_ard_3-2-1_50JQM_2020-06-29_final.stac-item
2020-08-07 12:05:41	ga_s2bm_ard_3-2-1_50JLP_2020-08-07_final.stac-item
2020-10-13 11:53:50	ga_s2bm_ard_3-2-1_50KQA_2020-10-13_final.stac-item
2020-10-16 12:03:48	ga_s2bm_ard_3-2-1_50KNA_2020-10-16_final.stac-item
2020-10-20 11:44:27	ga_s2bm_ard_3-2-1_50KPU_2020-10-20_final.stac-item
2020-10-23 11:53:35	ga_s2bm_ard_3-2-1_50KQB_2020-10-23_final.stac-item
2020-11-02 11:53:34	ga_s2bm_ard_3-2-1_50KQB_2020-11-02_final.stac-item
2020-11-02 11:53:56	ga_s2bm_ard_3-2-1_50KNA_2020-11-02_final.stac-item
2020-11-08 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2020-11-08_final.stac-item
2020-11-08 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2020-11-08_final.stac-item
2020-11-09 11:45:05	ga_s2bm_ard_3-2-1_50JQR_2020-11-09_final.stac-item
2020-11-12 11:52:38	ga_s2bm_ard_3-2-1_50KPF_2020-11-12_final
2020-11-28 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2020-11-28_final.stac-item
2020-12-08 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2020-12-08_final.stac-item
2020-12-12 11:53:47	ga_s2bm_ard_3-2-1_50KPA_2020-12-12_final.stac-item
2020-12-22 11:53:50	ga_s2bm_ard_3-2-1_50KNA_2020-12-22_final.stac-item
2020-12-25 12:05:35	ga_s2bm_ard_3-2-1_50JLP_2020-12-25_final.stac-item
2020-12-28 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2020-12-28_final.stac-item
2021-01-01 11:53:45	ga_s2bm_ard_3-2-1_50KQA_2021-01-01_final.stac-item
2021-01-01 11:53:48	ga_s2bm_ard_3-2-1_50KPA_2021-01-01_final.stac-item
2021-01-24 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2021-01-24_final.stac-item
2021-02-10 11:53:59	ga_s2bm_ard_3-2-1_50KQV_2021-02-10_final.stac-item
2021-02-20 11:53:54	ga_s2bm_ard_3-2-1_50KMA_2021-02-20_final.stac-item
2021-02-23 12:03:42	ga_s2bm_ard_3-2-1_50KNA_2021-02-23_final.stac-item
2021-03-05 12:03:51	ga_s2bm_ard_3-2-1_50KMA_2021-03-05_final.stac-item
2021-03-12 11:52:33	ga_s2bm_ard_3-2-1_50KQF_2021-03-12_final
2021-04-11 11:53:21	ga_s2bm_ard_3-2-1_50KNC_2021-04-11_final.stac-item
2021-04-17 12:14:37	ga_s2bm_ard_3-2-1_49JGN_2021-04-17_final.stac-item
2021-04-28 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2021-04-28_final
2021-05-18 11:45:17	ga_s2bm_ard_3-2-1_50JQQ_2021-05-18_final.stac-item
2021-06-30 11:55:03	ga_s2bm_ard_3-2-1_50JPR_2021-06-30_final.stac-item
2021-08-09 11:52:35	ga_s2bm_ard_3-2-1_50KQF_2021-08-09_final
2021-08-19 11:53:55	ga_s2bm_ard_3-2-1_50KQA_2021-08-19_final.stac-item
2021-10-12 11:34:38	ga_s2bm_ard_3-2-1_50JRT_2021-10-12_final.stac-item
2021-10-15 11:44:11	ga_s2bm_ard_3-2-1_50KPV_2021-10-15_final.stac-item
2021-11-14 11:44:19	ga_s2bm_ard_3-2-1_50KQU_2021-11-14_final.stac-item
2021-11-14 11:45:02	ga_s2bm_ard_3-2-1_50JQR_2021-11-14_final.stac-item
2021-11-14 11:45:16	ga_s2bm_ard_3-2-1_50JQQ_2021-11-14_final.stac-item
2021-11-17 11:53:34	ga_s2bm_ard_3-2-1_50KPB_2021-11-17_final.stac-item
2021-11-27 11:56:21	ga_s2bm_ard_3-2-1_50JLL_2021-11-27_final.stac-item
2021-12-04 11:44:40	ga_s2bm_ard_3-2-1_50JRS_2021-12-04_final.stac-item
2021-12-04 11:45:13	ga_s2bm_ard_3-2-1_50JQQ_2021-12-04_final.stac-item
2021-12-07 11:54:17	ga_s2bm_ard_3-2-1_50KNU_2021-12-07_final.stac-item
2021-12-13 12:13:44	ga_s2bm_ard_3-2-1_49KHR_2021-12-13_final.stac-item
2022-02-12 11:44:14	ga_s2bm_ard_3-2-1_50KQU_2022-02-12_final.stac-item
2022-02-22 11:43:26	ga_s2bm_ard_3-2-1_50KQB_2022-02-22_final.stac-item
2022-03-07 11:53:41	ga_s2bm_ard_3-2-1_50KPB_2022-03-07_final.stac-item
2022-10-03 11:54:46	ga_s2bm_ard_3-2-1_50JPS_2022-10-03_final.stac-item
2023-01-08 11:44:28	ga_s2bm_ard_3-2-1_50JRT_2023-01-08_final.stac-item
2023-01-11 11:53:35	ga_s2bm_ard_3-2-1_50KNB_2023-01-11_final.stac-item
2023-01-18 11:44:28	ga_s2bm_ard_3-2-1_50JRT_2023-01-18_final.stac-item
2023-02-17 11:44:29	ga_s2bm_ard_3-2-1_50JRT_2023-02-17_final
2023-02-27 11:43:37	ga_s2bm_ard_3-2-1_50KQB_2023-02-27_final
2023-03-16 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2023-03-16_final
2023-04-05 11:37:29	ga_s2bm_ard_3-2-1_50HNG_2023-04-05_final
2023-06-17 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-06-17_final
2023-08-06 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-08-06_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

All years