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
2017-07-02 11:26:09	ga_s2bm_ard_3-2-1_51HVE_2017-07-02_final.stac-item
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49JGM_2018-01-30_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_50JKN_2018-02-19_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51HVE_2018-02-20_final.stac-item
2018-02-23 11:40:38	ga_s2bm_ard_3-2-1_51KUR_2018-02-23_final.stac-item
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_51JVF_2018-03-12_final.stac-item
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49KHP_2018-05-03_final.stac-item
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_51HUC_2018-06-20_final.stac-item
2018-07-20 11:32:26	ga_s2bm_ard_3-2-1_51KUQ_2018-07-20_final.stac-item
2019-01-13 11:26:21	ga_s2bm_ard_3-2-1_51HXE_2019-01-13_final.stac-item
2019-01-19 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2019-01-19_final.stac-item
2019-04-12 11:53:15	ga_s2bm_ard_3-2-1_50KRC_2019-04-12_final.stac-item
2019-06-04 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-06-04_final.stac-item
2019-06-05 11:37:09	ga_s2bm_ard_3-2-1_51HTC_2019-06-05_final.stac-item
2019-06-08 11:47:14	ga_s2bm_ard_3-2-1_50HNH_2019-06-08_final.stac-item
2019-06-25 11:34:26	ga_s2bm_ard_3-2-1_51KUP_2019-06-25_final.stac-item
2019-07-12 11:26:45	ga_s2bm_ard_3-2-1_51HXD_2019-07-12_final.stac-item
2019-07-28 11:43:26	ga_s2bm_ard_3-2-1_51KTT_2019-07-28_final.stac-item
2019-08-21 11:27:07	ga_s2bm_ard_3-2-1_51HUC_2019-08-21_final.stac-item
2019-09-06 11:43:05	ga_s2bm_ard_3-2-1_51KTU_2019-09-06_final.stac-item
2019-10-20 11:26:33	ga_s2bm_ard_3-2-1_51HUE_2019-10-20_final.stac-item
2019-11-02 11:33:48	ga_s2bm_ard_3-2-1_51KUR_2019-11-02_final.stac-item
2019-11-12 11:36:42	ga_s2bm_ard_3-2-1_51HUD_2019-11-12_final.stac-item
2019-11-24 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2019-11-24_final.stac-item
2019-12-22 11:36:58	ga_s2bm_ard_3-2-1_50HQH_2019-12-22_final.stac-item
2020-01-03 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2020-01-03_final.stac-item
2020-01-21 11:33:16	ga_s2bm_ard_3-2-1_51KUT_2020-01-21_final.stac-item
2020-04-06 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2020-04-06_final.stac-item
2020-04-12 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2020-04-12_final.stac-item
2020-04-19 12:04:23	ga_s2bm_ard_3-2-1_49KHP_2020-04-19_final.stac-item
2020-05-03 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2020-05-03_final.stac-item
2020-07-15 11:56:15	ga_s2bm_ard_3-2-1_50JKM_2020-07-15_final.stac-item
2020-07-15 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2020-07-15_final.stac-item
2020-09-10 11:43:20	ga_s2bm_ard_3-2-1_51KTT_2020-09-10_final.stac-item
2020-09-17 11:36:28	ga_s2bm_ard_3-2-1_50JPL_2020-09-17_final.stac-item
2020-10-03 11:56:03	ga_s2bm_ard_3-2-1_50JKN_2020-10-03_final.stac-item
2020-11-15 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2020-11-15_final.stac-item
2020-11-29 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2020-11-29_final.stac-item
2020-12-19 11:43:54	ga_s2bm_ard_3-2-1_51KUQ_2020-12-19_final.stac-item
2021-01-08 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2021-01-08_final.stac-item
2021-01-15 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2021-01-15_final.stac-item
2021-01-24 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2021-01-24_final.stac-item
2021-02-24 11:36:32	ga_s2bm_ard_3-2-1_51HVD_2021-02-24_final.stac-item
2021-03-05 12:04:47	ga_s2bm_ard_3-2-1_50JKT_2021-03-05_final.stac-item
2021-05-02 11:26:43	ga_s2bm_ard_3-2-1_51HUD_2021-05-02_final.stac-item
2021-05-04 12:04:38	ga_s2bm_ard_3-2-1_50JKT_2021-05-04_final.stac-item
2021-05-11 11:53:55	ga_s2bm_ard_3-2-1_50KPA_2021-05-11_final.stac-item
2021-05-14 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2021-05-14_final.stac-item
2021-05-17 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2021-05-17_final.stac-item
2021-05-19 11:14:23	ga_s2bm_ard_3-2-1_51JZN_2021-05-19_final.stac-item
2021-05-25 11:34:29	ga_s2bm_ard_3-2-1_51JVN_2021-05-25_final.stac-item
2021-06-20 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2021-06-20_final.stac-item
2021-08-07 11:14:42	ga_s2bm_ard_3-2-1_51JYM_2021-08-07_final.stac-item
2021-08-13 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2021-08-13_final
2021-08-16 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2021-08-16_final.stac-item
2021-08-19 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2021-08-19_final
2021-09-02 11:36:48	ga_s2bm_ard_3-2-1_50HPJ_2021-09-02_final.stac-item
2021-09-24 12:13:42	ga_s2bm_ard_3-2-1_50KKB_2021-09-24_final.stac-item
2021-09-26 11:15:09	ga_s2bm_ard_3-2-1_51JYK_2021-09-26_final.stac-item
2021-10-28 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2021-10-28_final
2021-11-17 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2021-11-17_final.stac-item
2021-12-18 11:26:32	ga_s2bm_ard_3-2-1_51HXD_2021-12-18_final.stac-item
2022-02-08 12:03:38	ga_s2bm_ard_3-2-1_50KKB_2022-02-08_final.stac-item
2022-03-04 11:43:15	ga_s2bm_ard_3-2-1_50KRC_2022-03-04_final.stac-item
2022-05-03 11:43:16	ga_s2bm_ard_3-2-1_50KQC_2022-05-03_final.stac-item
2022-05-19 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2022-05-19_final.stac-item
2022-05-23 11:46:08	ga_s2bm_ard_3-2-1_50JNM_2022-05-23_final.stac-item
2022-06-05 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2022-06-05_final.stac-item
2022-06-19 11:36:36	ga_s2bm_ard_3-2-1_51HTE_2022-06-19_final.stac-item
2022-06-25 11:53:15	ga_s2bm_ard_3-2-1_50KRC_2022-06-25_final.stac-item
2022-06-26 11:27:03	ga_s2bm_ard_3-2-1_51HVC_2022-06-26_final.stac-item
2022-07-05 11:52:39	ga_s2bm_ard_3-2-1_50KQF_2022-07-05_final
2022-07-08 12:05:49	ga_s2bm_ard_3-2-1_49JGJ_2022-07-08_final.stac-item
2022-09-13 11:53:19	ga_s2bm_ard_3-2-1_50KQC_2022-09-13_final.stac-item
2022-10-14 11:25:05	ga_s2bm_ard_3-2-1_51JYK_2022-10-14_final.stac-item
2022-11-20 11:14:37	ga_s2bm_ard_3-2-1_51JZM_2022-11-20_final.stac-item
2022-11-26 11:34:02	ga_s2bm_ard_3-2-1_51KUQ_2022-11-26_final.stac-item
2023-01-24 12:03:39	ga_s2bm_ard_3-2-1_50KLB_2023-01-24_final.stac-item
2023-02-17 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2023-02-17_final
2023-02-17 11:43:56	ga_s2bm_ard_3-2-1_51KUQ_2023-02-17_final
2023-02-27 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2023-02-27_final
2023-04-08 11:43:46	ga_s2bm_ard_3-2-1_51KUR_2023-04-08_final
2023-04-28 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2023-04-28_final
2023-05-15 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2023-05-15_final
2023-06-10 11:53:22	ga_s2bm_ard_3-2-1_50KQC_2023-06-10_final
2023-06-21 11:24:41	ga_s2bm_ard_3-2-1_51JYM_2023-06-21_final
2023-06-30 11:56:10	ga_s2bm_ard_3-2-1_50JKN_2023-06-30_final
2023-08-17 12:51:05	ga_s2bm_ard_3-2-1_48LWP_2023-08-17_final
2023-08-30 11:25:10	ga_s2bm_ard_3-2-1_51JYK_2023-08-30_final
2023-09-05 11:43:07	ga_s2bm_ard_3-2-1_51KTU_2023-09-05_final
2023-09-15 11:43:07	ga_s2bm_ard_3-2-1_50KRD_2023-09-15_final
2023-10-12 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2023-10-12_final
2023-11-14 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2023-11-14_final
2023-11-24 11:43:38	ga_s2bm_ard_3-2-1_51KUR_2023-11-24_final
2023-11-30 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2023-11-30_final
2024-01-22 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2024-01-22_final
2024-01-23 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2024-01-23_final
2024-03-20 11:34:54	ga_s2bm_ard_3-2-1_51JWL_2024-03-20_final
2024-05-02 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2024-05-02_final
2024-05-13 11:14:37	ga_s2bm_ard_3-2-1_51JZM_2024-05-13_nrt

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