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
2017-08-21 11:18:37	ga_s2bm_ard_3-2-1_51JZN_2017-08-21_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_51KUR_2017-08-27_final.stac-item
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49KGQ_2017-11-24_final.stac-item
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51JXL_2017-11-29_final.stac-item
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51JZM_2017-11-29_final.stac-item
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51JXK_2017-12-09_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KTQ_2017-12-15_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KTS_2017-12-15_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JPP_2017-12-18_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50KNU_2017-12-18_final.stac-item
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51KUR_2018-02-03_final.stac-item
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51JXN_2018-10-18_final.stac-item
2018-11-10 11:43:01	ga_s2bm_ard_3-2-1_50KRD_2018-11-10_final.stac-item
2018-11-23 11:54:45	ga_s2bm_ard_3-2-1_50JPS_2018-11-23_final.stac-item
2018-11-24 11:24:26	ga_s2bm_ard_3-2-1_51JWN_2018-11-24_final.stac-item
2018-11-24 11:24:33	ga_s2bm_ard_3-2-1_51JYM_2018-11-24_final.stac-item
2018-11-24 11:25:21	ga_s2bm_ard_3-2-1_51JXJ_2018-11-24_final.stac-item
2018-11-24 11:25:30	ga_s2bm_ard_3-2-1_51JYH_2018-11-24_final.stac-item
2018-11-27 11:34:36	ga_s2bm_ard_3-2-1_51JWM_2018-11-27_final.stac-item
2018-11-29 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2018-11-29_final.stac-item
2018-12-11 11:15:04	ga_s2bm_ard_3-2-1_51JYK_2018-12-11_final.stac-item
2018-12-19 12:13:49	ga_s2bm_ard_3-2-1_50KKA_2018-12-19_final.stac-item
2018-12-20 11:44:55	ga_s2bm_ard_3-2-1_51JTL_2018-12-20_final.stac-item
2018-12-23 11:53:31	ga_s2bm_ard_3-2-1_50KPB_2018-12-23_final.stac-item
2018-12-23 11:53:49	ga_s2bm_ard_3-2-1_50KNA_2018-12-23_final.stac-item
2018-12-24 11:25:20	ga_s2bm_ard_3-2-1_51JXJ_2018-12-24_final.stac-item
2018-12-26 12:03:23	ga_s2bm_ard_3-2-1_50KLC_2018-12-26_final.stac-item
2018-12-27 11:34:32	ga_s2bm_ard_3-2-1_51JTN_2018-12-27_final.stac-item
2018-12-30 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2018-12-30_final.stac-item
2019-01-02 11:54:46	ga_s2bm_ard_3-2-1_50JPS_2019-01-02_final.stac-item
2019-01-03 11:24:49	ga_s2bm_ard_3-2-1_51JYL_2019-01-03_final.stac-item
2019-01-09 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2019-01-09_final.stac-item
2019-01-09 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2019-01-09_final.stac-item
2019-01-19 11:44:16	ga_s2bm_ard_3-2-1_50KRU_2019-01-19_final.stac-item
2019-01-28 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2019-01-28_final.stac-item
2019-01-29 11:44:51	ga_s2bm_ard_3-2-1_51JUL_2019-01-29_final.stac-item
2019-10-23 11:34:19	ga_s2bm_ard_3-2-1_51KUP_2019-10-23_final.stac-item
2019-11-02 11:34:09	ga_s2bm_ard_3-2-1_51KUQ_2019-11-02_final.stac-item
2019-11-15 11:44:29	ga_s2bm_ard_3-2-1_50JRT_2019-11-15_final.stac-item
2019-11-25 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2019-11-25_final.stac-item
2019-12-29 11:24:14	ga_s2bm_ard_3-2-1_51JZN_2019-12-29_final.stac-item
2020-03-04 11:44:28	ga_s2bm_ard_3-2-1_50JRT_2020-03-04_final.stac-item
2020-03-04 11:44:28	ga_s2bm_ard_3-2-1_51JTN_2020-03-04_final.stac-item
2020-03-11 11:34:03	ga_s2bm_ard_3-2-1_51KUQ_2020-03-11_final.stac-item
2020-03-14 11:43:56	ga_s2bm_ard_3-2-1_51KUQ_2020-03-14_final.stac-item
2020-07-25 11:56:19	ga_s2bm_ard_3-2-1_50JNL_2020-07-25_final.stac-item
2020-09-30 11:44:01	ga_s2bm_ard_3-2-1_51KUQ_2020-09-30_final.stac-item
2020-10-17 11:34:21	ga_s2bm_ard_3-2-1_51KUP_2020-10-17_final.stac-item
2020-10-23 11:53:53	ga_s2bm_ard_3-2-1_50KPA_2020-10-23_final.stac-item
2020-10-27 11:34:32	ga_s2bm_ard_3-2-1_51JVN_2020-10-27_final.stac-item
2020-11-09 11:43:23	ga_s2bm_ard_3-2-1_50KQC_2020-11-09_final.stac-item
2020-11-13 11:24:20	ga_s2bm_ard_3-2-1_51JZN_2020-11-13_final.stac-item
2020-11-19 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2020-11-19_final.stac-item
2020-11-26 11:34:25	ga_s2bm_ard_3-2-1_51JWN_2020-11-26_final.stac-item
2020-12-18 12:13:47	ga_s2bm_ard_3-2-1_49KHR_2020-12-18_final.stac-item
2020-12-19 11:43:57	ga_s2bm_ard_3-2-1_51KTQ_2020-12-19_final.stac-item
2020-12-29 11:44:28	ga_s2bm_ard_3-2-1_50JRT_2020-12-29_final.stac-item
2021-01-25 11:33:34	ga_s2bm_ard_3-2-1_51KUS_2021-01-25_final.stac-item
2021-02-04 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2021-02-04_final.stac-item
2021-03-12 11:53:51	ga_s2bm_ard_3-2-1_50KNA_2021-03-12_final.stac-item
2021-06-30 11:54:02	ga_s2bm_ard_3-2-1_50KQV_2021-06-30_final.stac-item
2021-07-01 11:24:33	ga_s2bm_ard_3-2-1_51JZM_2021-07-01_final.stac-item
2021-08-20 11:24:18	ga_s2bm_ard_3-2-1_51JZN_2021-08-20_final.stac-item
2021-10-08 11:53:32	ga_s2bm_ard_3-2-1_50KQB_2021-10-08_final.stac-item
2021-11-08 11:24:25	ga_s2bm_ard_3-2-1_51JZN_2021-11-08_final.stac-item
2021-11-11 11:34:35	ga_s2bm_ard_3-2-1_51JTN_2021-11-11_final.stac-item
2021-11-14 11:44:09	ga_s2bm_ard_3-2-1_50KPV_2021-11-14_final.stac-item
2021-11-24 11:43:57	ga_s2bm_ard_3-2-1_51KTQ_2021-11-24_final.stac-item
2021-12-01 11:33:29	ga_s2bm_ard_3-2-1_51KUS_2021-12-01_final.stac-item
2021-12-07 11:53:48	ga_s2bm_ard_3-2-1_50KNA_2021-12-07_final.stac-item
2021-12-07 11:54:28	ga_s2bm_ard_3-2-1_50JPT_2021-12-07_final.stac-item
2021-12-08 11:24:14	ga_s2bm_ard_3-2-1_51JZN_2021-12-08_final.stac-item
2021-12-21 11:37:16	ga_s2bm_ard_3-2-1_50HPG_2021-12-21_final
2021-12-25 11:15:06	ga_s2bm_ard_3-2-1_51JYK_2021-12-25_final.stac-item
2021-12-31 11:33:44	ga_s2bm_ard_3-2-1_51KUR_2021-12-31_final.stac-item
2022-01-13 11:43:25	ga_s2bm_ard_3-2-1_51KUS_2022-01-13_final.stac-item
2022-02-09 11:34:10	ga_s2bm_ard_3-2-1_51JXN_2022-02-09_final.stac-item
2022-02-22 11:43:25	ga_s2bm_ard_3-2-1_50KRB_2022-02-22_final.stac-item
2022-08-18 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2022-08-18_final
2022-10-04 11:24:17	ga_s2bm_ard_3-2-1_51JZN_2022-10-04_final.stac-item
2022-10-24 11:25:05	ga_s2bm_ard_3-2-1_51JYK_2022-10-24_final.stac-item
2022-11-09 11:43:57	ga_s2bm_ard_3-2-1_51KUQ_2022-11-09_final.stac-item
2022-11-10 11:15:09	ga_s2bm_ard_3-2-1_51JYK_2022-11-10_final.stac-item
2022-11-29 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2022-11-29_final.stac-item
2022-12-10 11:15:07	ga_s2bm_ard_3-2-1_51JYK_2022-12-10_final.stac-item
2022-12-23 11:24:18	ga_s2bm_ard_3-2-1_51JZN_2022-12-23_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 11:54:09	ga_s2bm_ard_3-2-1_50KQU_2023-01-11_final.stac-item
2023-01-11 11:54:29	ga_s2bm_ard_3-2-1_50JPT_2023-01-11_final.stac-item
2023-01-18 11:43:55	ga_s2bm_ard_3-2-1_51KUQ_2023-01-18_final.stac-item
2023-01-22 11:24:17	ga_s2bm_ard_3-2-1_51JZN_2023-01-22_final.stac-item
2023-01-25 11:34:23	ga_s2bm_ard_3-2-1_51JWN_2023-01-25_final.stac-item
2023-02-07 11:43:56	ga_s2bm_ard_3-2-1_51KUQ_2023-02-07_final
2023-02-07 11:44:25	ga_s2bm_ard_3-2-1_51JUN_2023-02-07_final
2023-02-27 11:44:03	ga_s2bm_ard_3-2-1_50KRV_2023-02-27_final
2023-07-03 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2023-07-03_final
2023-09-22 11:37:21	ga_s2bm_ard_3-2-1_50HQG_2023-09-22_final
2023-12-01 11:34:14	ga_s2bm_ard_3-2-1_51KUP_2023-12-01_final
2024-01-03 11:44:13	ga_s2bm_ard_3-2-1_51KUP_2024-01-03_final
2024-01-13 11:44:11	ga_s2bm_ard_3-2-1_51KUP_2024-01-13_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